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5. Population nutrient intake goals for preventing diet-related chronic diseases


5.1 Overall goals

5.1.1 Background

Population nutrient intake goals represent the population average intake that is judged to be consistent with the maintenance of health in a population. Health, in this context, is marked by a low prevalence of diet-related diseases in the population.

Seldom is there a single “best value” for such a goal. Instead, consistent with the concept of a safe range of nutrient intakes for individuals, there is often a range of population averages that would be consistent with the maintenance of health. If existing population averages fall outside this range, or trends in intake suggest that the population average will move outside the range, health concerns are likely to arise. Sometimes there is no lower limit; this implies that there is no evidence that the nutrient is required in the diet and hence low intakes should not give rise to concern. It would be of concern if a large proportion of values were outside the defined goals.

5.1.2 Strength of evidence

Ideally the definition of an increased or a decreased risk should be based on a relationship that has been established by multiple randomized controlled trials of interventions on populations that are representative of the target of a recommendation, but this type of evidence is often not available. The recommended dietary/nutrition practice should modify the attributable risk of the undesirable exposure in that population.

The following criteria are used to describe the strength of evidence in this report. They are based on the criteria used by the World Cancer Research Fund (1), but have been modified by the Expert Consultation to include the results of controlled trials where relevant and available. In addition, consistent evidence on community and environmental factors which lead to behaviour changes and thereby modify risks has been taken into account in categorizing risks. This applies particularly to the complex interaction between environmental factors that affect excess weight gain, a risk factor which the Consultation recognized as contributing to many of the problems being considered.

The strength of evidence linking dietary and lifestyle factors to the risk of developing obesity, type 2 diabetes, CVD, cancer, dental diseases, osteoporosis, graded according to the above categories, is summarized in tabular form, and attached to this report as an Annex.

5.1.3 A summary of population nutrient intake goals

The population nutrient intake goals for consideration by national and regional bodies establishing dietary recommendations for the prevention of diet-related chronic diseases are presented in Table 6. These recommendations are expressed in numerical terms, rather than as increases or decreases in intakes of specific nutrients, because the desirable change will depend upon existing intakes in the particular population, and could be in either direction.

In Table 6, attention is directed towards the energy-supplying macronutrients. This must not be taken to imply a lack of concern for the other nutrients. Rather, it is a recognition of the fact that previous reports issued by FAO and WHO have provided limited guidance on the meaning of a “balanced diet” described in terms of the proportions of the various energy sources, and that there is an apparent consensus on this aspect of diet in relation to effects on the chronic non-deficiency diseases.

This report therefore complements these existing reports on energy and nutrient requirements issued by FAO and WHO (2-4). In translating these goals into dietary guidelines, due consideration should be given to the process for setting up national dietary guidelines (5).

Table 6. Ranges of population nutrient intake goals

Dietary factor

Goal (% of total energy, unless otherwise stated)

Total fat

15 - 30%


Saturated fatty acids

<10%

Polyunsaturated fatty acids (PUFAs)

6 - 10%

n-6 Polyunsaturated fatty acids (PUFAs)

5 - 8%

n-3 Polyunsaturated fatty acids (PUFAs)

1 - 2%

Trans fatty acids

<1%

Monounsaturated fatty acids (MUFAs)

By differencea

Total carbohydrate

55 - 75%b


Free sugarsc

<10%

Protein

10 - 15%d

Cholesterol

<300 mg per day

Sodium chloride (sodium)e

<5 g per day (<2 g per day)

Fruits and vegetables

£400 g per day

Total dietary fibre

From foodsf

Non-starch polysaccharides (NSP)

From foodsf

a This is calculated as: total fat - (saturated fatty acids + polyunsaturated fatty acids + trans fatty acids).

b The percentage of total energy available after taking into account that consumed as protein and fat, hence the wide range.

c The term “free sugars” refers to all monosaccharides and disaccharides added to foods by the manufacturer, cook or consumer, plus sugars naturally present in honey, syrups and fruit juices.

d The suggested range should be seen in the light of the Joint WHO/FAO/UNU Expert Consultation on Protein and Amino Acid Requirements in Human Nutrition, held in Geneva from 9 to 16 April 2002 (2).

e Salt should be iodized appropriately (6). The need to adjust salt iodization, depending on observed sodium intake and surveillance of iodine status of the population, should be recognized.

f See page 58, under “Non-starch polysaccharides”.

Total fat

The recommendations for total fat are formulated to include countries where the usual fat intake is typically above 30% as well as those where the usual intake may be very low, for example less than 15%. Total fat energy of at least 20% is consistent with good health. Highly active groups with diets rich in vegetables, legumes, fruits and wholegrain cereals may, however, sustain a total fat intake of up to 35% without the risk of unhealthy weight gain.

For countries where the usual fat intake is between 15% and 20% of energy, there is no direct evidence for men that raising fat intake to 20% will be beneficial (7, 8). For women of reproductive age at least 20% has been recommended by the Joint FAO/WHO Expert Consultation on Fats and Oils in Human Nutrition that met in 1993 (3).

Free sugars

It is recognized that higher intakes of free sugars threaten the nutrient quality of diets by providing significant energy without specific nutrients. The Consultation considered that restriction of free sugars was also likely to contribute to reducing the risk of unhealthy weight gain, noting that:

The Consultation recognized that a population goal for free sugars of less than 10% of total energy is controversial. However, the Consultation considered that the studies showing no effect of free sugars on excess weight have limitations. The CARMEN study (Carbohydrate Ratio Management in European National diets) was a multicentre, randomized trial that tested the effects on body weight and blood lipids in overweight individuals of altering the ratio of fat to carbohydrate, as well as the ratio of simple to complex carbohydrate per se. A greater weight reduction was observed with the high complex carbohydrate diet relative to the simple carbohydrate one; the difference, however was not statistically significant (18). Nevertheless, an analysis of weight change and metabolic indices for those with metabolic syndrome revealed a clear benefit of replacing simple by complex carbohydrates (19). The Consultation also examined the results of studies that found an inverse relationship between free sugars intakes and total fat intake. Many of these studies are methodologically inappropriate for determining the causes of excess weight gain, since the percentage of calories from fat will decrease as the percentage of calories from carbohydrates increases and vice versa. Furthermore, these analyses do not usually distinguish between free sugars in foods and free sugars in drinks. Thus, these analyses are not good predictors of the responses in energy intake to a selective reduction in free sugars intake.

Non-starch polysaccharides (NSP)

Wholegrain cereals, fruits and vegetables are the preferred sources of non-starch polysaccharides (NSP). The best definition of dietary fibre remains to be established, given the potential health benefits of resistant starch. The recommended intake of fruits and vegetables (see below) and consumption of wholegrain foods is likely to provide >20 g per day of NSP (>25 g per day of total dietary fibre).

Fruits and vegetables

The benefit of fruits and vegetables cannot be ascribed to a single or mix of nutrients and bioactive substances. Therefore, this food category was included rather than the nutrients themselves. The category of tubers (i.e. potatoes, cassava) should not be included in fruits and vegetables.

Body mass index (BMI)

The goal for body mass index (BMI) included in this report follows the recommendations made by the WHO Expert Consultation on Obesity that met in 1997 (20). At the population level, the goal is for an adult median BMI of 21-23 kg/m2. For individuals, the recommendation is to maintain a BMI in the range 18.5-24.9 kg/m2 and to avoid a weight gain greater than 5 kg during adult life.

Physical activity

The goal for physical activity focuses on maintaining healthy body weight. The recommendation is for a total of one hour per day on most days of the week of moderate-intensity activity, such as walking. This level of physical activity is needed to maintain a healthy body weight, particularly for people with sedentary occupations. The recommendation is based on calculations of energy balance and on an analysis of the extensive literature on the relationships between body weight and physical activity. This recommendation is also presented elsewhere (21). Obviously, this quantitative goal cannot be considered as a single “best value” by analogy with the nutrient intake goals. Furthermore, it differs from the following widely accepted public health recommendation (22):

For better health, people of all ages should include a minimum of 30 minutes of physical activity of moderate intensity (such as brisk walking) on most, if not all, days of the week. For most people greater health benefits can be obtained by engaging in physical activity of more vigorous intensity or of longer duration. This cardio respiratory endurance activity should be supplemented with strength-developing exercises at least twice a week for adults in order to improve musculo skeletal health, maintain independence in performing the activities of daily life and reduce the risk of falling.

The difference between the two recommendations results from the difference in their focus. A recent symposium on the dose-response relationships between physical activity and health outcomes found evidence that 30 minutes of moderate activity is sufficient for cardiovascular/metabolic health, but not for all health benefits. Because prevention of obesity is a central health goal, the recommendation of 60 minutes a day of moderate-intensity activity is considered appropriate. Activity of moderate intensity is found to be sufficient to have a preventive effect on most, if not all, cardiovascular and metabolic diseases considered in this report. Higher intensity activity has a greater effect on some, although not all, health outcomes, but is beyond the capacity and motivation of a large majority of the population.

Both recommendations include the idea that the daily activity can be accomplished in several short bouts. It is important to point out that both recommendations apply to people who are otherwise sedentary. Some occupational activities and household chores constitute sufficient daily physical exercise.

In recommending physical activity, potential individual risks as well as benefits need to be assessed. In many regions of the world, especially but not exclusively in rural areas of developing countries, an appreciable proportion of the population is still engaged in physically demanding activities relating to agricultural practices and domestic tasks performed without mechanization or with rudimentary tools. Even children may be required to undertake physically demanding tasks at very young ages, such as collecting water and firewood and caring for livestock. Similarly, the inhabitants of poor urban areas may still be required to walk long distances to their jobs, which are usually of a manual nature and often require a high expenditure of energy. Clearly, the recommendation for extra physical activity is not relevant for these sectors of the population.

References

1. World Cancer Research Fund. Food, nutrition and the prevention of cancer: a global perspective. Washington, DC, American Institute for Cancer Research, 1997.

2. Protein and amino acid requirements inhuman nutrition. Report of a Joint WHO/FAO/UNU Expert Consultation. Geneva, World Health Organization, 2003 (in press).

3. Fats and oils in human nutrition. Report of a Joint FAO/WHO Expert Consultation. Rome, Food and Agriculture Organization of the United Nations, 1994 (FAO Food and Nutrition Paper, No. 57).

4. Carbohydrates in human nutrition. Report of a Joint FAO/WHO Expert Consultation. Rome, Food and Agriculture Organization of the United Nations, 1998 (FAO Food and Nutrition Paper, No. 66).

5. Preparation and use of food-based dietary guidelines. Report of a Joint FAO/ WHO Consultation. Geneva, World Health Organization, 1998 (WHO Technical Report Series, No. 880).

6. WHO/UNICEF/ICCIDD. Recommended iodine levels in salt and guidelines for monitoring their adequacy and effectiveness. Geneva, World Health Organization, 1996 (document WHO/NUT/96.13).

7. Campbell TC, Parpia B, Chen J. Diet, lifestyle, and the etiology of coronary artery disease: the Cornell China study. American Journal of Cardiology, 1998, 82:18T-21T.

8. Campbell TC, Junshi C. Diet and chronic degenerative diseases: perspectives from China. American Journal of Clinical Nutrition, 59(Suppl. 5):S1153-S1161.

9. Stubbs J, Ferres S, Horgan G. Energy density of foods: effects on energy intake. Critical Reviews in Food Science and Nutrition, 2000, 40:481-515.

10. Rolls BJ, Bell EA. Dietary approaches to the treatment of obesity. Medical Clinics of North America, 2000, 84:401-418.

11. Rolls BJ. Fat and sugar substitutes and the control of food intake. Annals of the New York Academy of Sciences, 1997, 819:180-193.

12. Mann JI et al. Effects on serum-lipids in normal men of reducing dietary sucrose or starch for five months. Lancet, 1970, 1:870-872.

13. Smith JB, Niven BE, Mann JI. The effect of reduced extrinsic sucrose intake on plasma triglyceride levels. European Journal of Clinical Nutrition, 1996, 50:498-504.

14. Ludwig DS. The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. Journal of American Medical Association, 2002, 287:2414-2423.

15. Ebbeling CB, Ludwig DS. Treating obesity in youth: should dietary glycemic load be a consideration? Advances in Pediatrics, 2001, 48:179-212.

16. Ludwig DS, Peterson KE, Gormakaer SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet, 2001, 357:505-508.

17. Raben A et al. Sucrose compared with artificial sweeteners: different effects on ad libitum food intake and body weight after 10 wk of supplementation in overweight subjects. American Journal of Clinical Nutrition, 2002, 76:721-729.

18. Saris WH et al. Randomized controlled trial of changes in dietary carbohydrate/ fat ratio and simple vs complex carbohydrates on body weight and blood lipids: the CARMEN study. The Carbohydrate Ratio Management in European National diets. International Journal of Obesity and Related Metabolic Disorders, 2000, 24:1310-1318.

19. Poppitt SD et al. Long-term effects of ad libitum low-fat, high-carbohydrate diets on body weight and serum lipids in overweight subjects with metabolic syndrome. American Journal of Clinical Nutrition, 2002, 75:11-20.

20. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva, World Health Organization, 2000 (WHO Technical Report Series, No. 894).

21. Weight control and physical activity. Lyon, International Agency for Research on Cancer, 2002 (IARC Handbooks of Cancer Prevention, Vol. 6).

22. Physical activity and health: a report of the Surgeon General. Atlanta, GA, US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, 1996.

5.2 Recommendations for preventing excess weight gain and obesity

5.2.1 Background

Almost all countries (high-income and low-income alike) are experiencing an obesity epidemic, although with great variation between and within countries. In low-income countries, obesity is more common in middle-aged women, people of higher socioeconomic status and those living in urban communities. In more affluent countries, obesity is not only common in the middle-aged, but is becoming increasingly prevalent among younger adults and children. Furthermore, it tends to be associated with lower socioeconomic status, especially in women, and the urban-rural differences are diminished or even reversed.

It has been estimated that the direct costs of obesity accounted for 6.8% (or US$ 70 billion) of total health care costs, and physical inactivity for a furtherUS$24 billion, in the United States in 1995. Although direct costs in other industrialized countries are slightly lower, they still consume a sizeable proportion of national health budgets (1). Indirect costs, which are far greater than direct costs, include workdays lost, physician visits, disability pensions and premature mortality. Intangible costs such as impaired quality of life are also enormous. Because the risks of diabetes, cardiovascular disease and hypertension rise continuously with increasing weight, there is much overlap between the prevention of obesity and the prevention of a variety of chronic diseases, especially type 2 diabetes. Population education strategies will need a solid base of policy and environment-based changes to be effective in eventually reversing these trends.

5.2.2 Trends

The increasing industrialization, urbanization and mechanization occurring in most countries around the world is associated with changes in diet and behaviour, in particular, diets are becoming richer in high-fat, high energy foods and lifestyles more sedentary. In many developing countries undergoing economic transition, rising levels of obesity often coexist in the same population (or even the same household) with chronic undernutrition. Increases in obesity over the past 30 years have been paralleled by a dramatic rise in the prevalence of diabetes (2).

5.2.3 Diet, physical activity and excess weight gain and obesity

Mortality rates increase with increasing degrees of overweight, as measured by BMI. As BMI increases, so too does the proportion of people with one or more comorbid conditions. In one study in the USA (3), over half (53%) of all deaths in women with a BMI>29 kg/m2 could be directly attributed to their obesity. Eating behaviours that have been linked to overweight and obesity include snacking/eating frequency, binge-eating patterns, eating out, and (protectively) exclusive breastfeeding. Nutrient factors under investigation include fat, carbohydrate type (including refined carbohydrates such as sugar), the glycaemic index of foods, and fibre. Environmental issues are clearly important, especially as many environments become increasingly “obesogenic” (obesity-promoting).

Physical activity is an important determinant of body weight. In addition, physical activity and physical fitness (which relates to the ability to perform physical activity) are important modifiers of mortality and morbidity related to overweight and obesity. There is firm evidence that moderate to high fitness levels provide a substantially reduced risk of cardiovascular disease and all-cause mortality and that these benefits apply to all BMI levels. Furthermore, high fitness protects against mortality at all BMI levels in men with diabetes. Low cardiovascular fitness is a serious and common comorbidity of obesity, and a sizeable proportion of deaths in overweight and obese populations are probably a result of low levels of cardio-respiratory fitness rather than obesity per se. Fitness is, in turn, influenced strongly by physical activity in addition to genetic factors. These relationships emphasize the role of physical activity in the prevention of overweight and obesity, independently of the effects of physical activity on body weight.

The potential etiological factors related to unhealthy weight gain are listed in Table 7.

5.2.4 Strength of evidence

Convincing etiological factors

Regular physical activity (protective) and sedentary lifestyles (causative). There is convincing evidence that regular physical activity is protective against unhealthy weight gain whereas sedentary lifestyles, particularly sedentary occupations and inactive recreation such as watching television, promote it. Most epidemiological studies show smaller risk of weight gain, overweight and obesity among persons who currently engage regularly in moderate to large amounts of physical activity (4). Studies measuring physical activity at baseline and randomized trials of exercise programmes show more mixed results, probably because of the low adherence to long-term changes. Therefore, it is ongoing physical activity itself rather than previous physical activity or enrolment in an exercise programme that is protective against unhealthy weight gain. The recommendation for individuals to accumulate at least 30 minutes of moderate-intensity physical activity on most days is largely aimed at reducing cardiovascular diseases and overall mortality. The amount needed to prevent unhealthy weight gain is uncertain but is probably significantly greater than this. Preventing weight gain after substantial weight loss probably requires about 60-90 minutes per day. Two meetings recommended by consensus that about 45-60 minutes of moderate-intensity physical activity is needed on most days or every day to prevent unhealthy weight gain (5, 6). Studies aimed at reducing sedentary behaviours have focused primarily on reducing television viewing in children. Reducing viewing times by about 30 minutes a day in children in the United States appears feasible and is associated with reductions in BMI.

Table 7. Summary of strength of evidence on factors that might promote or protect against weight gain and obesitya

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Regular physical activity
High dietary intake of NSP (dietary fibre)b


Sedentary lifestyles
High intake of energy-dense micronutrient-poor foodsc

Probable

Home and school environments that support healthy food choices for childrend
Breastfeeding


Heavy marketing of energy-dense foodsd and fast-food outletsd
High intake of sugars-sweetened soft drinks and fruit juices
Adverse socioeconomic conditionsd (in developed countries, especially for women)

Possible

Low glycaemic index foods

Protein content of the diet

Large portion sizes
High proportion of food prepared outside the home (developed countries)
“Rigid restraint/periodic disinhibition” eating patterns

Insufficient

Increased eating frequency


Alcohol

a Strength of evidence: the totality of the evidence was taken into account. The World Cancer Research Fund schema was taken as the starting point but was modified in the following manner: randomized controlled trials were given prominence as the highest ranking study design (randomized controlled trials were not a major source of cancer evidence); associated evidence and expert opinion was also taken into account in relation to environmental determinants (direct trials were usually not available).

b Specific amounts will depend on the analytical methodologies used to measure fibre.

c Energy-dense and micronutrient-poor foods tend to be processed foods that are high in fat and/or sugars. Low energy-dense (or energy-dilute) foods, such as fruit, legumes, vegetables and whole grain cereals, are high in dietary fibre and water.

d Associated evidence and expert opinion included.

A high dietary intake of non-starch polysaccharides (NSP)/dietary fibre (protective). The nomenclature and definitions of NSP (dietary fibre) have changed with time, and many of the available studies used previous definitions, such as soluble and insoluble fibre. Nevertheless, two recent reviews of randomized trials have concluded that the majority of studies show that a high intake of NSP (dietary fibre) promotes weight loss.

Pereira & Ludwig (7) found that 12 out of 19 trials showed beneficial objective effects (including weight loss). In their review of 11 studies of more than 4 weeks duration, involving ad libitum eating Howarth Saltzman & Roberts (8) reported a mean weight loss of 1.9 kg over 3.8 months. There were no differences between fibre type or between fibre consumed in food or as supplements.

High intake of energy-dense micronutrient-poor foods (causative).

There is convincing evidence that a high intake of energy-dense foods promotes weight gain. In high-income countries (and increasingly in low income countries) these energy-dense foods are not only highly processed (low NSP) but also micronutrient-poor, further diminishing their nutritional value. Energy-dense foods tend to be high in fat (e.g. butter, oils, fried foods), sugars or starch, while energy-dilute foods have a high water content (e.g. fruits and vegetables). Several trials have covertly manipulated the fat content and the energy density of diets, the results of which support the view that so-called “passive over consumption” of total energy occurs when the energy density of the diet is high and that this is almost always the case in high-fat diets. A meta-analysis of 16 trials of ad libitum high-fat versus low-fat diets of at least 2 months duration suggested that a reduction in fat content by 10% corresponds to about a 1 MJ reduction in energy intake and about 3 kg in body weight (9). At a population level, 3 kg equates to about one BMI unit or about a 5% difference in obesity prevalence. However, it is difficult to blind such studies and other non-physiological effects may influence these findings (10). While energy from fat is no more fattening than the same amount of energy from carbohydrate or protein, diets that are high in fat tend to be energy-dense. An important exception to this is diets based predominantly on energy-dilute foods (e.g. vegetables, legumes, fruits) but which have a reasonably high percentage of energy as fat from added oils.

The effectiveness over the long term of most dietary strategies for weight loss, including low-fat diets, remains uncertain unless accompanied by changes in behaviour affecting physical activity and food habits. These latter changes at a public health level require an environment supportive of healthy food choices and an active life. High quality trials to address these issues are urgently needed. A variety of popular weight-loss diets that restrict food choices may result in reduced energy intake and short term weight loss in individuals but most do not have trial evidence of long-term effectiveness and nutritional adequacy and therefore cannot be recommended for populations.

Probable etiological factors

Home and school environments that promote healthy food and activity choices for children (protective). Despite the obvious importance of the roles that parents and home environments play on children’s eating and physical activity behaviours, there is very little hard evidence available to support this view. It appears that access and exposure to a range of fruits and vegetables in the home is important for the development of preferences for these foods and that parental knowledge, attitudes and behaviours related to healthy diet and physical activity are important in creating role models (11). More data are available on the impact of the school environment on nutrition knowledge, on eating patterns and physical activity at school, and on sedentary behaviours at home. Some studies (12), but not all, have shown an effect of school-based interventions on obesity prevention. While more research is clearly needed to increase the evidence base in both these areas, supportive home and school environments were rated as a probable etiological influence on obesity.

Heavy marketing of fast-food outlets and energy-dense, micronutrient-poor foods and beverages (causative). Part of the consistent, strong relationships between television viewing and obesity in children may relate to the food advertising to which they are exposed (13-15). Fast-food restaurants, and foods and beverages that are usually classified under the “eat least” category in dietary guidelines are among the most heavily marketed products, especially on television. Young children are often the target group for the advertising of these products because they have a significant influence on the foods bought by parents (16). The huge expenditure on marketing fast-foods and other “eat least” choices (US$ 11 billion in the United States alone in 1997) was considered to be a key factor in the increased consumption of food prepared outside the home in general and of energy-dense, micronutrient-poor foods in particular. Young children are unable to distinguish programme content from the persuasive intent of advertisements. The evidence that the heavy marketing of these foods and beverages to young children causes obesity is not unequivocal. Nevertheless, the Consultation considered that there is sufficient indirect evidence to warrant this practice being placed in the “probable” category and thus becoming a potential target for interventions (15-18).

A high intake of sugars-sweetened beverages (causative). Diets that are proportionally low in fat will be proportionally higher in carbohydrate (including a variable amount of sugars) and are associated with protection against unhealthy weight gain, although a high intake of free sugars in beverages probably promotes weight gain. The physiological effects of energy intake on satiation and satiety appear to be quite different for energy in solid foods as opposed to energy in fluids. Possibly because of reduced gastric distension and faster transit times, the energy contained in fluids is less well “detected” by the body and subsequent food intake is poorly adjusted to account for the energy taken in through beverages (19). This is supported by data from cross-sectional, longitudinal, and cross-over studies (20-22). The high and increasing consumption of sugars-sweetened drinks by children in many countries is of serious concern. It has been estimated that each additional can or glass of sugars-sweetened drink that they consume every day increases the risk of becoming obese by 60% (19). Most of the evidence relates to soda drinks but many fruit drinks and cordials are equally energy-dense and may promote weight gain if drunk in large quantities. Overall, the evidence implicating a high intake of sugars-sweetened drinks in promoting weight gain was considered moderately strong.

Adverse socioeconomic conditions, especially for women in high-income countries (causative). Classically the pattern of the progression of obesity through a population starts with middle-aged women in high-income groups but as the epidemic progresses, obesity becomes more common in people (especially women) in lower socioeconomic status groups. The relationship may even be bi-directional, setting up a vicious cycle (i.e. lower socioeconomic status promotes obesity, and obese people are more likely to end up in groups with low socioeconomic status). The mechanisms by which socioeconomic status influences food and activity patterns are probably multiple and need elucidation. However, people living in circumstances of low socioeconomic status may be more at the mercy of the obesogenic environment because their eating and activity behaviours are more likely to be the “default choices” on offer. The evidence for an effect of low socioeconomic status on predisposing people to obesity is consistent (in higher income countries) across a number of cross-sectional and longitudinal studies (23), and was thus rated as a “probable” cause of increased risk of obesity.

Breastfeeding (protective). Breastfeeding as a protective factor against weight gain has been examined in at least 20 studies involving nearly 40 000 subjects. Five studies (including the two largest) found a protective effect, two found that breastfeeding predicted obesity, and the remainder found no relationships. There are probably multiple effects of confounding in these studies; however, the reduction in the risk of developing obesity observed in the two largest studies was substantial (20-37%). Promoting breastfeeding has many benefits, the prevention of childhood obesity probably being one of them.

Possible etiological factors

Several other factors were defined as “possible” protective or causative in the etiology of unhealthy weight gain.

Low-glycaemic foods have been proposed as a potential protective factor against weight gain and there are some early studies that support this hypothesis. More clinical trials are, however, needed to establish the association with greater certainty.

Large portion sizes are a possible causative factor for unhealthy weight gain (24). The marketing of “supersize” portions, particularly in fast-food outlets, is now common practice in many countries. There is some evidence that people poorly estimate portion sizes and that subsequent energy compensation for a large meal is incomplete and therefore is likely to lead to overconsumption.

In many countries, there has been a steady increase in the proportion of food eaten that is prepared outside the home. In the United States, the energy, total fat, saturated fat, cholesterol and sodium content of foods prepared outside the home is significantly higher than that of home-prepared food. People in the United States who tend to eat in restaurants have a higher BMI than those who tend to eat at home (25).

Certain psychological parameters of eating patterns may influence the risk of obesity. The “flexible restraint” pattern is associated with lower risk of weight gain, whereas the “rigid restraint/periodic disinhibition” pattern is associated with a higher risk.

Several other factors were also considered but the evidence was not thought to be strong enough to warrant defining them as protective or causative. Studies have not shown consistent associations between alcohol intake and obesity despite the high energy density of the nutrient (7 kcal/g). There are probably many confounding factors that influence the association. While a high eating frequency has been shown in some studies to have a negative relationship with energy intake and weight gain, the types of foods readily available as snack foods are often high in fat and a high consumption of foods of this type might predispose people to weight gain. The evidence regarding the impact of early nutrition on subsequent obesity is also mixed, with some studies showing relationships for high and low birth weights.

5.2.5 General strategies for obesity prevention

The prevention of obesity in infants and young children should be considered of high priority. For infants and young children, the main preventive strategies are:

- the promotion of exclusive breastfeeding;

- avoiding the use of added sugars and starches when feeding formula;

- instructing mothers to accept their child’s ability to regulate energy intake rather than feeding until the plate is empty;

- assuring the appropriate micronutrient intake needed to promote optimal linear growth.

For children and adolescents, prevention of obesity implies the need to:

- promote an active lifestyle;

- limit television viewing;

- promote the intake of fruits and vegetables;

- restrict the intake of energy-dense, micronutrient-poor foods (e.g. packaged snacks);

- restrict the intake of sugars-sweetened soft drinks.

Additional measures include modifying the environment to enhance physical activity in schools and communities, creating more opportunities for family interaction (e.g. eating family meals), limiting the exposure of young children to heavy marketing practices of energy-dense, micronutrient-poor foods, and providing the necessary information and skills to make healthy food choices.

In developing countries, special attention should be given to avoidance of overfeeding stunted population groups. Nutrition programmes designed to control or prevent undernutrition need to assess stature in combination with weight to prevent providing excess energy to children of low weight-for-age but normal weight-for-height. In countries in economic transition, as populations become more sedentary and able to access energy-dense foods, there is a need to maintain the healthy components of traditional diets (e.g. high intake of vegetables, fruits and NSP). Education provided to mothers and low socioeconomic status communities that are food insecure should stress that overweight and obesity do not represent good health.

Low-income groups globally and populations in countries in economic transition often replace traditional micronutrient-rich foods by heavily marketed, sugars-sweetened beverages (i.e. soft drinks) and energy-dense fatty, salty and sugary foods. These trends, coupled with reduced physical activity, are associated with the rising prevalence of obesity. Strategies are needed to improve the quality of diets by increasing consumption of fruits and vegetables, in addition to increasing physical activity, in order to stem the epidemic of obesity and associated diseases.

5.2.6 Disease-specific recommendations

Body mass index (BMI)

BMI can be used to estimate, albeit crudely, the prevalence of overweight and obesity within a population and the risks associated with it. It does not, however, account for the wide variations in obesity between different individuals and populations. The classification of overweight and obesity, according to BMI, is shown in Table 8.

Table 8. Classification of overweight in adults according to BMIa

Classification

BMI (kg/m2)

Risk of comorbidities

Underweight

<18.5

Low (but risk of other clinical problems increased)

Normal range

18.5 - 24.9

Average

Overweight

³ 25.0



Pre-obese

25.0 - 29.9

Increased

Obese class I

30.0 - 34.9

Moderate

Obese class II

35.0 - 39.9

Severe

Obese class III

³40.0

Very severe

a These BMI values are age-independent and the same for both sexes. However, BMI may not correspond to the same degree of fatness in different populations due, in part, to differences in body proportions. The table shows a simplistic relationship between BMI and the risk of comorbidity, which can be affected by a range of factors, including the nature and the risk of comorbidity, which can be affected by a range of factors, including the nature of the diet, ethnic group and activity level. The risks associated with increasing BMI are continuous and graded and begin at a BMI below 25. The interpretation of BMI gradings in relation to risk may differ for different populations. Both BMI and a measure of fat distribution (waist circumference or waist: hip ratio (WHR)) are important in calculating the risk of obesity comorbidities.

Source: reference 26.

In recent years, different ranges of BMI cut-off points for overweight and obesity have been proposed, in particular for the Asia-Pacific region (27). At present available data on which to base definitive recommendations are sparse.[4] Nevertheless, the consultation considered that, to achieve optimum health, the median BMI for the adult population should be in the range 21-23 kg/m2, while the goal for individuals should be to maintain BMI in the range 18.5-24.9 kg/m2.

Waist circumference

Waist circumference is a convenient and simple measure which is unrelated to height, correlates closely with BMI and the ratio of waist-to-hip circumference, and is an approximate index of intra-abdominal fat mass and total body fat. Furthermore, changes in waist circumference reflect changes in risk factors for cardiovascular disease and other forms of chronic diseases, even though the risks seem to vary in different populations. There is an increased risk of metabolic complications for men with a waist circumference ³ 102 cm, and women with a waist circumference ³ 88 cm.

Physical activity

A total of one hour per day of moderate-intensity activity, such as walking on most days of the week, is probably needed to maintain a healthy body weight, particularly for people with sedentary occupations.[5]

Total energy intake

The fat and water content of foods are the main determinants of the energy density of the diet. A lower consumption of energy-dense (i.e. high-fat, high-sugars and high-starch) foods and energy-dense (i.e. high free sugars) drinks contributes to a reduction in total energy intake. Conversely, a higher intake of energy-dilute foods (i.e. vegetables and fruits) and foods high in NSP (i.e. wholegrain cereals) contributes to a reduction in total energy intake and an improvement in micronutrient intake. It should be noted, however, that very active groups who have diets high in vegetables, legumes, fruits and wholegrain cereals, may sustain a total fat intake of up to 35% without the risk of unhealthy weight gain.

References

1. Colditz G. Economic costs of obesity and inactivity. Medicine and Science in Sport and Exercise, 1999, 31(Suppl. 11):S663-S667.

2. The world health report 2002: reducing risks, promoting healthy life. Geneva, World Health Organization, 2002.

3. Manson JE et al. Body weight and mortality among women. New England Journal of Medicine, 1995, 333:677-685.

4. Fogelholm M, Kukkonen-Harjula K. Does physical activity prevent weight gain - a systematic review. Obesity Reviews, 2000, 1:95-111.

5. Weight control and physical activity. Lyon, International Agency for Research on Cancer, 2002 (IARC Handbooks of Cancer Prevention, Vol. 6).

6. Saris WHM. Dose-response of physical activity in the treatment of obesity-How much is enough to prevent unhealthy weight gain. Outcome of the First Mike Stock Conference. International Journal of Obesity, 2002, 26(Suppl. 1):S108.

7. Pereira MA, Ludwig DS. Dietary fiber and body-weight regulation. Observations and mechanisms. Pediatric Clinics of North America, 2001, 48:969-980.

8. Howarth NC, Saltzman E, Roberts SB. Dietary fiber and weight regulation. Nutrition Reviews, 2001, 59:129-139.

9. Astrup A et al. The role of low-fat diets in body weight control: a meta-analysis of ad libitum dietary intervention studies. International Journal of Obesity, 2000, 24:1545-1552.

10. Willett WC. Dietary fat plays a major role in obesity: no. Obesity Reviews, 2000, 3:59-68.

11. Campbell K, Crawford D. Family food environments as determinants of preschool-aged children’s eating behaviours: implications for obesity prevention policy. A review. Australian Journal of Nutrition and Dietetics, 2001, 58:19-25.

12. Gortmaker S et al. Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. Archives of Pediatrics and Adolescent Medicine, 1999, 153:409-418.

13. Nestle M. Food politics. Berkeley, CA, University of California Press, 2002.

14. Nestle M. The ironic politics of obesity. Science, 2003, 299:781.

15. Robinson TN. Does television cause childhood obesity? Journal of American Medical Association, 1998, 279:959-960.

16. Borzekowski DL, Robinson TN. The 30-second effect: an experiment revealing the impact of television commercials on food preferences of preschoolers. Journal of the American Dietetic Association, 2001, 101:42-46.

17. Lewis MK, Hill AJ. Food advertising on British children’s television: a content analysis and experimental study with nine-year olds. International Journal of Obesity, 1998, 22:206-214.

18. Taras HL, Gage M. Advertised foods on children’s television. Archives of Pediatrics and Adolescent Medicine, 1995, 149:649-652.

19. Mattes RD. Dietary compensation by humans for supplemental energy provided as ethanol or carbohydrate in fluids. Physiology and Behaviour, 1996, 59:179-187.

20. Tordoff MG, Alleva AM. Effect of drinking soda sweetened with aspartame or high-fructose corn syrup on food intake and body weight. American Journal of Clinical Nutrition, 1990, 51:963-969.

21. Harnack L, Stang J, Story M. Soft drink consumption among US children and adolescents: nutritional consequences. Journal of the American Dietetic Association, 1999, 99:436-441.

22. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet, 2001, 357:505-508.

23. Peña M, Bacallao J. Obesity and poverty: a new public health challenge. Washington, DC, Pan American Health Organization, 2000 (Scientific Publication, No. 576).

24. Nielsen SJ, Popkin BM. Patterns and trends in food portion sizes, 1977-1998. Journal of the American Medical Association, 2003, 289:450-453.

25. Jeffery RW, French SA. Epidemic obesity in the United States: are fast foods and television viewing contributing? American Journal of Public Health, 1998, 88:277-280.

26. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva, World Health Organization, 2000 (WHO Technical Report Series, No. 894).

27. WHO Regional Office for the Western Pacific/International Association for the Study of Obesity/International Obesity Task Force. The Asia-Pacific perspective: redefining obesity and its treatment. Sydney, Health Communications Australia, 2000.

5.3 Recommendations for preventing diabetes

5.3.1 Background

Type 2 diabetes, formerly known as non-insulin-dependent diabetes (NIDDM), accounts for most cases of diabetes worldwide. Type 2 diabetes develops when the production of insulin is insufficient to overcome the underlying abnormality of increased resistance to its action. The early stages of type 2 diabetes are characterized by overproduction of insulin. As the disease progresses, process insulin levels may fall as a result of partial failure of the insulin producing b cells of the pancreas. Complications of type 2 diabetes include blindness, kidney failure, foot ulceration which may lead to gangrene and subsequent amputation, and appreciably increased risk of infections, coronary heart disease and stroke. The enormous and escalating economic and social costs of type 2 diabetes make a compelling case for attempts to reduce the risk of developing the condition as well as for energetic management of the established disease (1, 2).

Lifestyle modification is the cornerstone of both treatment and attempts to prevent type 2 diabetes (3). The changes required to reduce the risk of developing type 2 diabetes at the population level are, however, unlikely to be achieved without major environmental changes to facilitate appropriate choices by individuals. Criteria for the diagnosis of type 2 diabetes and for the earlier stages in the disease process - impaired glucose tolerance and impaired fasting glucose - have recently been revised (4, 5).

Type 1 diabetes, previously known as insulin-dependent diabetes, occurs much less frequently and is associated with an absolute deficiency of insulin, usually resulting from autoimmune destruction of the b cells of the pancreas. Environmental as well as genetic factors appear to be involved but there is no convincing evidence of a role for lifestyle factors which can be modified to reduce the risk.

5.3.2 Trends

Although increases in both the prevalence and incidence of type 2 diabetes have occurred globally, they have been especially dramatic in societies in economic transition in much of the newly industrialized world and in developing countries (1, 6-9). Worldwide, the number of cases of diabetes is currently estimated to be around 150 million. This number is predicted to double by 2025, with the greatest number of cases being expected in China and India. These numbers may represent an underestimate and there are likely to be many undiagnosed cases. Previously a disease of the middle-aged and elderly, type 2 diabetes has recently escalated in all age groups and is now being identified in younger and younger age groups, including adolescents and children, especially in high-risk populations.

Age-adjusted mortality rates among people with diabetes are 1.5-2.5 times higher than in the general population (10). In Caucasian populations, much of the excess mortality is attributable to cardiovascular disease, especially coronary heart disease (11, 12); amongst Asian and American Indian populations, renal disease is a major contributor (13, 14), whereas in some developing nations, infections are an important cause of death (15). It is conceivable that the decline in mortality due to coronary heart disease which has occurred in many affluent societies may be halted or even reversed if rates of type 2 diabetes continue to increase. This may occur if the coronary risk factors associated with diabetes increase to the extent that the risk they mediate outweighs the benefit accrued from improvements in conventional cardiovascular risk factors and the improved care of patients with established cardiovascular disease (3).

5.3.3 Diet, physical activity and diabetes

Type 2 diabetes results from an interaction between genetic and environmental factors. The rapidly changing incidence rates, however, suggest a particularly important role for the latter as well as a potential for stemming the tide of the global epidemic of the disease. The most dramatic increases in type 2 diabetes are occurring in societies in which there have been major changes in the type of diet consumed, reductions in physical activity, and increases in overweight and obesity. The diets concerned are typically energy-dense, high in saturated fatty acids and depleted in NSP.

In all societies, overweight and obesity are associated with an increased risk of type 2 diabetes, especially when the excess adiposity is centrally distributed. Conventional (BMI) categories may not be an appropriate means of determining the risk of developing type 2 diabetes in individuals of all population groups because of ethnic differences in body composition and because of the importance of the distribution of excess adiposity. While all lifestyle-related and environmental factors which contribute to excess weight gain may be regarded as contributing to type 2 diabetes, the evidence that individual dietary factors have an effect which is independent of their obesity promoting effect, is inconclusive. Evidence that saturated fatty acids increase risk of type 2 diabetes and that NSP are protective is more convincing than the evidence for several other nutrients which have been implicated. The presence of maternal diabetes, including gestational diabetes and intrauterine growth retardation, especially when associated with later rapid catch-up growth, appears to increase the risk of subsequently developing diabetes.

5.3.4 Strength of evidence

The association between excessive weight gain, central adiposity and the development of type 2 diabetes is convincing. The association has been repeatedly demonstrated in longitudinal studies in different populations, with a striking gradient of risk apparent with increasing levels of BMI, adult weight gain, waist circumference or waist-to-hip ratio. Indeed waist circumference or waist-to-hip ratio (reflecting abdominal or visceral adiposity) are more powerful determinants of subsequent risk of type 2 diabetes than BMI (16-20). Central adiposity is also an important determinant of insulin resistance, the underlying abnormality in most cases of type 2 diabetes (20). Voluntary weight loss improves insulin sensitivity (21) and in several randomized controlled trials has been shown to reduce the risk of progression from impaired glucose tolerance to type 2 diabetes (22, 23).

Longitudinal studies have clearly indicated that increased physical activity reduces the risk of developing type 2 diabetes regardless of the degree of adiposity (24-26). Vigorous exercise (i.e. training to an intensity of 80-90% of age-predicted maximum heart rate for at least 20 minutes, at least five times per week) has the potential to substantially enhance insulin sensitivity (21). The minimum intensity and duration of physical activity required to improve insulin sensitivity has not been established.

Offspring of diabetic pregnancies (including gestational diabetes) are often large and heavy at birth, tend to develop obesity in childhood and are at high risk of developing type 2 diabetes at an early age (27). Those born to mothers after they have developed diabetes have a three-fold higher risk of developing diabetes than those born before (28).

In observational epidemiological studies, a high saturated fat intake has been associated with a higher risk of impaired glucose tolerance, and higher fasting glucose and insulin levels (29-32). Higher proportions of saturated fatty acids in serum lipid or muscle phospholipid have been associated with higher fasting insulin, lower insulin sensitivity and a higher risk of type 2 diabetes (33-35). Higher unsaturated fatty acids from vegetable sources and polyunsaturated fatty acids have been associated with a reduced risk of type 2 diabetes (36, 37) and lower fasting and 2-hour glucose concentrations (32, 38). Furthermore, higher proportions of long-chain polyunsaturated fatty acids in skeletal muscle phospholipids have been associated with increased insulin sensitivity (39).

In human intervention studies, replacement of saturated by unsaturated fatty acids leads to improved glucose tolerance (40, 41) and enhanced insulin sensitivity (42). Long-chain polyunsaturated fatty acids do not, however, appear to confer additional benefit over monounsaturated fatty acids in intervention studies (42). Furthermore, when total fat intake is high (greater than 37% of total energy), altering the quality of dietary fat appears to have little effect (42), a finding which is not surprising given that in observational studies a high intake of total fat has been shown to predict development of impaired glucose tolerance and the progression of impaired glucose tolerance to type 2 diabetes (29, 43). A high total fat intake has also been associated with higher fasting insulin concentrations and a lower insulin sensitivity index (44, 45).

Considered in aggregate these findings are deemed to indicate a probable causal link between saturated fatty acids and type 2 diabetes, and a possible causal association between total fat intake and type 2 diabetes. The two randomized controlled trials which showed a potential for lifestyle modification to reduce the risk of progression from impaired glucose tolerance to type 2 diabetes included advice to reduce total and saturated fat (22, 23), but in both trials it is impossible to disentangle the effects of individual dietary manipulation.

Research relating to the association between NSP intake and type 2 diabetes is complicated by ambiguity with regard to the definitions used (the term dietary fibre and NSP are often incorrectly used interchangeably), different methods of analysis and, consequently, inconsistencies in food composition tables. Observations by Trowell in Uganda more than 30 years ago suggested that the infrequency of diabetes in rural Africa may be the result of a protective effect of substantial amounts of NSP in the diet (referred to as dietary fibre) associated with a high consumption of minimally-processed or unprocessed carbohydrate. The author also hypothesized that throughout the world, increasing intakes of highly-processed carbohydrate, depleted in NSP, had promoted the development of diabetes (46). Three cohort studies (the Health Professionals Follow-up Study of men aged 40-75 years, the Nurses’ Health Study of women aged 40-65 years, and the Iowa Women’s Health Study in women aged 55-69 years) have shown a protective effect of NSP (dietary fibre) (47-49) which was independent of age, BMI, smoking and physical activity. In many controlled experimental studies, high intakes of NSP (dietary fibre) have repeatedly been shown to result in reduced blood glucose and insulin levels in people with type 2 diabetes and impaired glucose tolerance (50). Moreover an increased intake of wholegrain cereals, vegetables and fruits (all rich in NSP) was a feature of the diets associated with a reduced risk of progression of impaired glucose tolerance to type 2 diabetes in the two randomized controlled trials previously described (22, 23). Thus the evidence for a potential protective effect of NSP (dietary fibre) appears strong. However, the fact that the experimental studies suggest that soluble forms of NSP exert benefit (50-53) whereas the prospective cohort studies suggest that it is the cereal-derived insoluble forms that are protective (47, 48) explain the “probable” rather “convincing” grading of the level of evidence.

Many foods which are rich in NSP (especially soluble forms), such as pulses, have a low glycaemic index.[6] Other carbohydrate-containing foods (e.g. certain types of pasta), which are not especially high in NSP, also have a low glycaemic index. Low glycaemic index foods, regardless of their NSP content, are not only associated with a reduced glycaemic response after ingestion when compared with foods of higher glycaemic index, but are also associated with an overall improvement in glycaemic control (as measured by haemoglobin A1c) in people with diabetes (54-57). A low glycaemic index does not, however, per se, confer overall health benefits, since a high fat or fructose content of a food may also result in a reduced glycaemic index and such foods may also be energy-dense. Thus while this property of carbohydrate-containing foods may well influence the risk of developing type 2 diabetes, the evidence is accorded a lower level of strength than the evidence relating to the NSP content. Similarly, the level of evidence for the protective effect of n-3 fatty acids is regarded as “possible” because the results of epidemiological studies are inconsistent and the experimental data inconclusive. There is insufficient evidence to confirm or refute the suggestions that chromium, magnesium, vitamin E and moderate intakes of alcohol might protect against the development of type 2 diabetes.

A number of studies, mostly in developing countries, have suggested that intrauterine growth retardation and low birth weight are associated with subsequent development of insulin resistance (58). In those countries where there has been chronic undernutrition, insulin resistance may have been selectively advantageous in terms of surviving famine. In populations where energy intake has increased and lifestyles have become more sedentary, however, insulin resistance and the consequent risk of type 2 diabetes have been enhanced. In particular, rapid postnatal catch-up growth appears to further increase the risk of type 2 diabetes in later life. Appropriate strategies which may help to reduce type 2 diabetes risk in this situation include improving the nutrition of young children, promoting linear growth and preventing energy excess by limiting intake of energy-dense foods, controlling the quality of fat supply, and facilitating physical activity. At a population level, fetal growth may remain restricted until maternal height improves. This may take several generations to correct. The prevention of type 2 diabetes in infants and young children may be facilitated by the promotion of exclusive breastfeeding, avoiding overweight and obesity, and promoting optimum linear growth. The strength of evidence on lifestyle factors is summarized in Table 9.

Table 9. Summary of strength of evidence on lifestyle factors and risk of developing type 2 diabetes

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Voluntary weight loss in overweight and obese people
Physical activity


Overweight and obesity
Abdominal obesity
Physical inactivity
Maternal diabetesa

Probable

NSP


Saturated fats
Intrauterine growth retardation

Possible

n-3 fatty acids
Low glycaemic index foods
Exclusive breastfeedingb


Total fat intake
Trans fatty acids

Insufficient

Vitamin E
Chromium
Magnesium
Moderate alcohol


Excess alcohol

1 NSP, non-starch polysaccharides.

a Includes gestational diabetes.

b As a global public health recommendation, infants should be exclusively breastfed for the first six months of life to achieve optimal growth, development and health (59).

5.3.5 Disease-specific recommendations

Measures aimed at reducing overweight and obesity, and cardiovascular disease are likely to also reduce the risk of developing type 2 diabetes and its complications. Some measures are particularly relevant to reducing the risk for diabetes; these are listed below:

References

1. King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care, 1998, 21:1414-1431.

2. Amos AF, McCarty DJ, Zimmet P. The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabetic Medicine, 1997, 14(Suppl. 5):S1-S85.

3. Mann J. Stemming the tide of diabetes mellitus. Lancet, 2000, 356:1454-1455.

4. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 1997, 20:1183-1197.

5. Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO Consultation. Part 1. Diagnosis and classification of diabetes mellitus. Geneva, World Health Organization, 1999 (document WHO/NCD/NCS/99.2).

6. Harris MI et al. Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey, 1988-1994. Diabetes Care, 1998, 21:518-524.

7. Flegal KM et al. Prevalence of diabetes in Mexican Americans, Cubans, and Puerto Ricans from the Hispanic Health and Nutrition Examination Survey, 1982-1984. Diabetes Care, 1991, 14:628-638.

8. Mokdad AH et al. Diabetes trends among American Indians and Alaska natives: 1990-1998. Diabetes Care, 2001, 24:1508-1509.

9. Mokdad AH et al. The continuing epidemics of obesity and diabetes in the United States. Journal of the American Medical Association, 2001, 286:1195-1200.

10. Kleinman JC et al. Mortality among diabetics in a national sample. American Journal of Epidemiology, 1988, 128:389-401.

11. Gu K, Cowie CC, Harris MI. Mortality in adults with and without diabetes in a national cohort of the US population, 1971-1993. Diabetes Care, 1998, 21:1138-1145.

12. Roper NA et al. Excess mortality in a population with diabetes and the impact of material deprivation: longitudinal, population-based study. British Medical Journal, 2001, 322:1389-1393.

13. Morrish et al. Mortality and causes of death in the WHO Multinational Study of Vascular Disease in Diabetes. Diabetologia, 2001, 44(Suppl. 2):S14-S21.

14. Sievers ML et al. Impact of NIDDM on mortality and causes of death in Pima Indians. Diabetes Care, 1992, 15:1541-1549.

15. McLarty DG, Kinabo L, Swai AB. Diabetes in tropical Africa: a prospective study, 1981-7. II. Course and prognosis. British Medical Journal, 1990, 300:1107-1110.

16. Colditz GA et al. Weight as a risk factor for clinical diabetes in women. American Journal of Epidemiology, 1990, 132:501-513.

17. Després JP et al. Treatment of obesity: need to focus on high-risk abdominally obese patients. British Medical Journal, 2001, 322:716-720.

18. Chan JM et al. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care, 1994, 17:961-969.

19. Boyko EJ et al. Visceral adiposity and risk of type 2 diabetes: a prospective study among Japanese Americans. Diabetes Care, 2000, 23:465-471.

20. Després JP. Health consequences of visceral obesity. Annals of Medicine, 2001, 33:534-541.

21. McAuley KA et al. Intensive lifestyle changes are necessary to improve insulin sensitivity. Diabetes Care, 2002, 25:445-452.

22. Tuomilehto J et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. New England Journal of Medicine, 2002, 344:1343-1350.

23. Knowler WC et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention of metformin. New England Journal of Medicine, 2002, 346:393-403.

24. Manson JE et al. A prospective study of exercise and incidence of diabetes among US male physicians. Journal of the American Medical Association, 1992, 268:63-67.

25. Kriska AM et al. The association of physical activity with obesity, fat distribution and glucose intolerance in Pima Indians. Diabetologia, 1993, 36:863-869.

26. Helmrich SP et al. Physical activity and reduced occurrence of non-insulindependent diabetes mellitus. New England Journal of Medicine, 1991, 325:147-152.

27. Pettitt DJ et al. Congenital susceptibility to NIDDM. Role of intrauterine environment. Diabetes, 1988, 37:622-628.

28. Dabelea D et al. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships. Diabetes, 2000, 49:2208-2211.

29. Feskens EJM et al. Dietary factors determining diabetes and impaired glucose tolerance. A 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care, 1995, 18:1104-1112.

30. Bo S et al. Dietary fat and gestational hyperglycaemia. Diabetologia, 2001, 44:972-978.

31. Feskens EJM, Kromhout D. Habitual dietary intake and glucose tolerance in euglycaemic men: the Zutphen Study. International Journal of Epidemiology, 1990, 19:953-959.

32. Parker DR et al. Relationship of dietary saturated fatty acids and body habitus to serum insulin concentrations: the Normative Aging Study. American Journal of Clinical Nutrition, 1993, 58:129-136.

33. Folsom AR et al. Relation between plasma phospholipid saturated fatty acids and hyperinsulinemia. Metabolism, 1996, 45:223-228.

34. Vessby B, Tengblad S, Lithell H. Insulin sensitivity is related to the fatty acid composition of serum lipids and skeletal muscle phospholipids in 70-year-old men. Diabetologia, 1994, 37:1044-1050.

35. Vessby B et al. The risk to develop NIDDM is related to the fatty acid composition of the serum cholesterol esters. Diabetes, 1994, 43:1353-1357.

36. Salmeron J et al. Dietary fat intake and risk of type 2 diabetes in women. American Journal of Clinical Nutrition, 2001, 73:1019-1026.

37. Meyer KA et al. Dietary fat and incidence of type 2 diabetes in older Iowa women. Diabetes Care, 2001, 24:1528-1535.

38. Mooy JM et al. Prevalence and determinants of glucose intolerance in a Dutch Caucasian population. The Hoorn Study. Diabetes Care, 1995, 18:1270-1273.

39. Pan DA et al. Skeletal muscle membrane lipid composition is related to adiposity and insulin action. Journal of Clinical Investigation, 1995, 96:2802-2808.

40. Uusitupa M et al. Effects of two high-fat diets with different fatty acid compositions on glucose and lipid metabolism in healthy young women. American Journal of Clinical Nutrition, 1994, 59:1310-1316.

41. Vessby B et al. Substituting polyunsaturated for saturated fat as a single change in a Swedish diet: effects on serum lipoprotein metabolism and glucose tolerance in patients with hyperlipoproteinaemia. European Journal of Clinical Investigation, 1980, 10:193-202.

42. Vessby B et al. Substituting dietary saturated for monounsaturated fat impairs insulin sensitivity in healthy men and women: the KANWU Study. Diabetologia, 2001, 44:312-319.

43. Marshall JA et al. Dietary fat predicts conversion from impaired glucose tolerance to NIDDM. The San Luis Valley Diabetes Study. Diabetes Care, 1994, 17:50-56.

44. Mayer EJ et al. Usual dietary fat intake and insulin concentrations in healthy women twins. Diabetes Care, 1993, 16:1459-1469.

45. Lovejoy J, DiGirolamo M. Habitual dietary intake and insulin sensitivity in lean and obese adults. American Journal of Clinical Nutrition, 1992, 55:1174-1179.

46. Trowell HC. Dietary-fiber hypothesis of the etiology of diabetes mellitus. Diabetes, 1975, 24:762-765.

47. Salmeron J et al. Dietary fiber, glycemic load and risk of NIDDM in men. Diabetes Care, 1997, 20:545-550.

48. Salmeron J et al. Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. Journal of the American Medical Association, 1997, 277:472-477.

49. Meyer KA et al. Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. American Journal of Clinical Nutrition, 2000, 71:921-930.

50. Mann J. Dietary fibre and diabetes revisited. European Journal of Clinical Nutrition, 2001, 55:919-921.

51. Simpson HRC et al. A high carbohydrate leguminous fibre diet improves all aspects of diabetic control. Lancet, 1981, 1:1-5.

52. Mann J. Lawrence lecture. Lines to legumes: changing concepts of diabetic diets. Diabetic Medicine, 1984, 1:191-198.

53. Chandalia M et al. Beneficial effects of high dietary fiber intake in patients with type 2 diabetes mellitus. New England Journal of Medicine, 2000, 342:1392-1398.

54. Frost G, Wilding J, Beecham J. Dietary advice based on the glycaemic index improves dietary profile and metabolic control in type 2 diabetic patients. Diabetic Medicine, 1994, 11:397-401.

55. Brand JC et al. Low-glycemic index foods improve long-term glycemic control in NIDDM. Diabetes Care, 1991, 14:95-101.

56. Fontvieille AM et al. The use of low glycaemic index foods improves metabolic control of diabetic patients over five weeks. Diabetic Medicine, 1992, 9:444-450.

57. Wolever TMS et al. Beneficial effect of a low glycaemic index diet in type 2 diabetes. Diabetic Medicine, 1992, 9:451-458.

58. Stern MP et al. Birth weight and the metabolic syndrome: thrifty phenotype or thrifty genotype? Diabetes/Metabolism Research and Reviews, 2000, 16:88-93.

59. Infant and young child nutrition. Geneva, World Health Organization, 2001 (document A54/2).

5.4 Recommendations for preventing cardiovascular diseases

5.4.1 Background

The second half of the 20th century has witnessed major shifts in the pattern of disease, in addition to marked improvements in life expectancy, this period is characterized by profound changes in diet and lifestyles which in turn have contributed to an epidemic of noncommunicable diseases. This epidemic is now emerging, and even accelerating, in most developing countries, while infections and nutritional deficiencies are receding as leading contributors to death and disability (1).

In developing countries, the effect of the nutrition transition and the concomitant rise in the prevalence of cardiovascular diseases will be to widen the mismatch between health care needs and resources, and already scarce resources will be stretched ever more thinly. Because unbalanced diets, obesity and physical inactivity all contribute to heart disease, addressing these, along with tobacco use, can help to stem the epidemic. A large measure of success in this area has already been demonstrated in many industrialized countries.

5.4.2 Trends

Cardiovascular diseases are the major contributor to the global burden of disease among the noncommunicable diseases. WHO currently attributes one-third of all global deaths (15.3 million) to CVD, with developing countries, low-income and middle-income countries accounting for 86% of the DALYs lost to CVD world wide in 1998. In the next two decades the increasing burden of CVD will be borne mostly by developing countries.

5.4.3 Diet, physical activity and cardiovascular disease

The “lag-time” effect of risk factors for CVD means that present mortality rates are the consequence of previous exposure to behavioural risk factors such as inappropriate nutrition, insufficient physical activity and increased tobacco consumption. Overweight, central obesity, high blood pressure, dyslipidaemia, diabetes and low cardio-respiratory fitness are among the biological factors contributing principally to increased risk. Unhealthy dietary practices include the high consumption of saturated fats, salt and refined carbohydrates, as well as low consumption of fruits and vegetables, and these tend to cluster together.

5.4.4 Strength of evidence

Convincing associations for reduced risk of CVD include consumption of fruits (including berries) and vegetables, fish and fish oils (eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)), foods high in linoleic acid and potassium, as well as physical activity and low to moderate alcohol intake. While vitamin E intake appears to have no relationship to risk of CVD, there is convincing evidence that myristic and palmitic acids, trans fatty acids, high sodium intake, overweight and high alcohol intake contribute to an increase in risk. A “probable” level of evidence demonstrates a decreased risk for a-linolenic acid, oleic acid, NSP, wholegrain cereals, nuts (unsalted), folate, plant sterols and stanols, and no relationship for stearic acid. There is a probable increase in risk from dietary cholesterol and unfiltered boiled coffee. Possible associations for reduced risk include intake of flavonoids and consumption of soy products, while possible associations for increased risk include fats rich in lauric acid, b-carotene supplements and impaired fetal nutrition. The evidence supporting these conclusions is summarized below.

Fatty acids and dietary cholesterol

The relationship between dietary fats and CVD, especially coronary heart disease, has been extensively investigated, with strong and consistent associations emerging from a wide body of evidence accrued from animal experiments, as well as observational studies, clinical trials and metabolic studies conducted in diverse human populations (2).

Saturated fatty acids raise total and low-density lipoprotein (LDL) cholesterol, but individual fatty acids within this group, have different effects (3-5). Myristic and palmitic acids have the greatest effect and are abundant in diets rich in dairy products and meat. Stearic acid has not been shown to elevate blood cholesterol and is rapidly converted to oleic acid in vivo. The most effective replacement for saturated fatty acids in terms of coronary heart disease outcome are polyunsaturated fatty acids, especially linoleic acid. This finding is supported by the results of several large randomized clinical trials, in which replacement of saturated and trans fatty acids by polyunsaturated vegetable oils lowered coronary heart disease risk (6).

Trans fatty acids are geometrical isomers of cis-unsaturated fatty acids that adapt a saturated fatty acid-like configuration. Partial hydrogenation, the process used to increase shelf-life of polyunsaturated fatty acids (PUFAs) creates trans fatty acids and also removes the critical double bonds in essential fatty acids necessary for the action. Metabolic studies have demonstrated that trans fatty acids render the plasma lipid profile even more atherogenic than saturated fatty acids, by not only elevating LDL cholesterol to similar levels but also by decreasing highdensity lipoprotein (HDL) cholesterol (7). Several large cohort studies have found that intake of trans fatty acids increases the risk of coronary heart disease (8, 9). Most trans fatty acids are contributed by industrially hardened oils. Even though trans fatty acids have been reduced or eliminated from retail fats and spreads in many parts of the world, deep-fried fast foods and baked goods are a major and increasing source (7).

When substituted for saturated fatty acids in metabolic studies, both monounsaturated fatty acids and n-6 polyunsaturated fatty acids lower plasma total and LDL cholesterol concentrations (10); PUFAs are somewhat more effective than monounsaturates in this respect. The only nutritionally important monounsaturated fatty acids is oleic acid, which is abundant in olive and canola oils and also in nuts. The most important polyunsaturated fatty acid is linoleic acid, which is abundant especially in soybean and sunflower oils. The most important n-3 PUFAs are eicosapentaenoic acid and docosahexaenoic acid found in fatty fish, and a-linolenic acid found in plant foods. The biological effects of n-3 PUFAs are wide ranging, involving lipids and lipoproteins, blood pressure, cardiac function, arterial compliance, endothelial function, vascular reactivity and cardiac electrophysiology, as well as potent antiplatelet and anti-inflammatory effects (11). The very long chain n-3 PUFAs (eicosapentaenoic acid and docosahexaenoic acid) powerfully lower serum triglycerides but they raise serum LDL cholesterol. Therefore, their effect on coronary heart disease is probably mediated through pathways other than serum cholesterol.

Most of the epidemiological evidence related to n-3 PUFAs is derived from studies of fish consumption in populations or interventions involving fish diets in clinical trials (evidence on fish consumption is discussed further below). Fish oils have been used in the Gruppo Italiano per lo Studio della Sopravvivenza nell’Infarto Miocardico (GISSI) trial involving survivors of myocardial infarction (12). After 3.5 years of follow-up, the group that received fish oil had a 20% reduction in total mortality, a 30% reduction in cardiovascular death and a 45% decrease in sudden death. Several prospective studies have found an inverse association between the intake of a-linolenic acid, (high in flaxseed, canola and soybean oils), and risk of fatal coronary heart disease (13, 14).

Cholesterol in the blood and tissues is derived from two sources: diet and endogenous synthesis. Dairy fat and meat are major dietary sources. Egg yolk is particularly rich in cholesterol but unlike dairy products and meat does not provide saturated fatty acids. Although dietary cholesterol raises plasma cholesterol levels (15), observational evidence for an association of dietary cholesterol intake with CVD is contradictory (16). There is no requirement for dietary cholesterol and it is advisable to keep the intake as low as possible (2). If intake of dairy fat and meat are controlled, there is no need to severely restrict egg yolk intake, although some limitation remains prudent.

Dietary plant sterols, especially sitostanol, reduce serum cholesterol by inhibiting cholesterol absorption (17). The cholesterol-lowering effects of plant sterols has also been well documented (18) and commercial products made of these compounds are widely available, but their longterm effects remain to be seen.

NSP (dietary fibre)

Dietary fibre is a heterogeneous mixture of polysaccharides and lignin that cannot be degraded by the endogenous enzymes of vertebrate animals. Water-soluble fibres include pectins, gums, mucilages and some hemicelluloses. Insoluble fibres include cellulose and other hemicelluloses. Most fibres reduce plasma total and LDL cholesterol, as reported by several trials (19). Several large cohort studies carried out in different countries have reported that a high fibre diet as well as a diet high in wholegrain cereals lowers the risk of coronary heart disease (20-23).

Antioxidants, folate, and flavonoids

Even though antioxidants could, in theory, be protective against CVD and there is observational data supporting this theory, controlled trials employing supplements have been disappointing. The Heart Outcomes Prevention Evaluation trial (HOPE), a definitive clinical trial relating vitamin E supplementation to CVD outcomes, revealed no effect of vitamin E supplementation on myocardial infarction, stroke or death from cardiovascular causes in men or women(24). Also, the results of the Heart Protection Study indicated that no significant benefits of daily supplementation of vitamin E, vitamin C and b-carotene were observed among the high-risk individuals that were the subject of the study (25). In several studies where dietary vitamin C reduced the risk of coronary heart disease, supplemental vitamin C had little effect. Clinical trial evidence is lacking at present. Observational cohort studies have suggested a protective role for carotenoids but a meta-analysis of four randomized trials, in contrast, reported an increased risk of cardiovascular death (26).

The relationship of folate to CVD has been mostly explored through its effect on homocysteine, which may itself be an independent risk factor for coronary heart disease and probably also for stroke. Folic acid is required for the methylation of homocysteine to methionine. Reduced plasma folate has been strongly associated with elevated plasma homocysteine levels and folate supplementation has been demonstrated to decrease those levels (27). However, the role of homocysteine as an independent risk factor for CVD has been subject to much debate, since several prospective studies have not found this association to be independent of other risk factors (28, 29). It has also been suggested that elevation of plasma homocysteine is a consequence and not a cause of atherosclerosis, wherein impaired renal function resulting from atherosclerosis raises plasma homocysteine levels (30, 31). Data from the Nurses’ Health Study showed that folate and vitamin B6, from diet and supplements, conferred protection against coronary heart disease (32). A recently published metaanalysis concluded that a higher intake of folate (0.8 mg folic acid) would reduce the risk of ischaemic heart disease by 16% and stroke by 24% (33).

Flavonoids are polyphenolic compounds that occur in a variety of foods of vegetable origin, such as tea, onions and apples. Data from several prospective studies indicate an inverse association of dietary flavonoids with coronary heart disease (34, 35). However, confounding may be a major problem and may explain the conflicting results of observational studies.

Sodium and potassium

High blood pressure is a major risk factor for coronary heart disease and both forms of stroke (ischaemic and haemorrhagic). Of the many risk factors associated with high blood pressure, the dietary exposure that has been most investigated is daily sodium intake. It has been studied extensively in animal experimental models, in epidemiological studies, controlled clinical trials and in population studies on restricted sodium intake (36, 37).

All these data show convincingly that sodium intake is directly associated with blood pressure. An overview of observational data obtained from population studies suggested that a difference in sodium intake of 100 mmol per day was associated with average differences in systolic blood pressure of 5 mmHg at age 15-19 years and 10 mmHg at age 60-69 years (37). Diastolic blood pressures are reduced by about half as much, but the association increases with age and magnitude of the initial blood pressure. It was estimated that a universal reduction in dietary intake of sodium by 50 mmol per day would lead to a 50% reduction in the number of people requiring antihypertensive therapy, a 22% reduction in the number of deaths resulting from strokes and a16%reduction in the number of deaths from coronary heart disease. The first prospective study using 24-hour urine collections for measuring sodium intake, which is the only reliable measure, demonstrated a positive relationship between an increased risk of acute coronary events, but not stroke events, and increased sodium excretion (38). The association was strongest among overweight men.

Several clinical intervention trials, conducted to evaluate the effects of dietary salt reduction on blood pressure levels, have been systematically reviewed (39, 40). Based on an overview of 32 methodologically adequate trials, Cutler, Follmann & Allender (39) concluded that a daily reduction of sodium intake by 70-80 mmol was associated with a lowering of blood pressure both in hypertensive and normotensive individuals, with systolic and diastolic blood pressure reductions of 4.8/1.9 mmHg in the former and 2.5/1.1 mmHg in the latter. Clinical trials have also demonstrated the sustainable blood pressure lowering effects of sodium restriction in infancy (41, 42), as well as in the elderly in whom it provides a useful nonpharmacological therapy (43). The results of a low-sodium diet trial (44) showed that low-sodium diets, with 24-hour sodium excretion levels around 70 mmol, are effective and safe. Two population studies, in China and in Portugal, have also revealed significant reductions in blood pressure in the intervention groups (45, 46).

A meta-analysis of randomized controlled trials showed that potassium supplements reduced mean blood pressures (systolic/diastolic) by 1.8/1.0 mmHg in normotensive subjects and 4.4/2.5 mmHg in hypertensive subjects (47). Several large cohort studies have found an inverse association between potassium intake and risk of stroke (48, 49). While potassium supplements have been shown to have protective effects on blood pressure and cardiovascular diseases, there is no evidence to suggest that long-term potassium supplements should be administered to reduce the risk for CVD. The recommended levels of fruit and vegetable consumption assure an adequate intake of potassium.

Food items and food groups

While the consumption of fruits and vegetables has been widely believed to promote good health, evidence related to their protective effect against CVD has only been presented in recent years (50). Numerous ecological and prospective studies have reported a significant protective association for coronary heart disease and stroke with consumption of fruits and vegetables (50-53). The effects of increased fruit and vegetable consumption on blood pressure alone and in combination with a low-fat diet, were assessed in the Dietary Approaches to Stop Hypertension (DASH) trial (54). While the combination diet was more effective in lowering blood pressure, the fruit and vegetable diet also lowered blood pressure (by 2.8 mmHg systolic and 1.1 mmHg diastolic) in comparison to the control diet. Such reductions, while seeming modest at the individual level, would result in a substantial reduction in population-wide risk of CVD by shifting the blood pressure distribution.

Most, but not all, population studies have shown that fish consumption is associated with a reduced risk of coronary heart disease. A systematic review concluded that the discrepancy in the findings may be a result of differences in the populations studied, with only high-risk individuals benefiting from increasing their fish consumption (55). It was estimated that in high-risk populations, an optimum fish consumption of 40-60 g per day would lead to approximately a 50% reduction in death from coronary heart disease. In a diet and reinfarction trial, 2-year mortality was reduced by 29% in survivors of a first myocardial infarction in persons receiving advice to consume fatty fish at least twice a week (56). A recent study based on data from 36 countries, reported that fish consumption is associated with a reduced risk of death from all causes as well as CVD mortality (57).

Several large epidemiological studies have demonstrated that frequent consumption of nuts was associated with decreased risk of coronary heart disease (58, 59). Most of these studies considered nuts as a group, combining many different types of nuts. Nuts are high in unsaturated fatty acids and low in saturated fats, and contribute to cholesterol lowering by altering the fatty acid profile of the diet as a whole. However, because of the high energy content of nuts, advice to include them in the diet must be tempered in accordance with the desired energy balance.

Several trials indicate that soy has a beneficial effect on plasma lipids (60, 61). A composite analysis of 38 clinical trials found that an average consumption of 47 g of soy protein a day led to a 9% decline in total cholesterol and a 13% decline in LDL cholesterol in subjects free of coronary heart disease (62). Soy is rich in isoflavones, compounds that are structurally and functionally similar to estrogen. Several animal experiments suggest that the intake of these isoflavones may provide protection against coronary heart disease, but human data on efficacy and safety are still awaited.

There is convincing evidence that low to moderate alcohol consumption lowers the risk of coronary heart disease. In a systematic review of ecological, case-control and cohort studies in which specific associations were available between risk of coronary heart-disease and consumption of beer, wine and spirits, it was found that all alcoholic drinks are linked with lower risk (63). However, other cardiovascular and health risks associated with alcohol do not favour a general recommendation for its use.

Boiled, unfiltered coffee raises total and LDL cholesterol because coffee beans contain a terpenoid lipid called cafestol. The amount of cafestol in the cup depends on the brewing method: it is zero for paper-filtered drip coffee, and high in the unfiltered coffee still widely drunk in, for example, in Greece, the Middle East and Turkey. Intake of large amounts of unfiltered coffee markedly raises serum cholesterol and has been associated with coronary heart disease in Norway (64). A shift from unfiltered, boiled coffee to filtered coffee has contributed significantly to the decline in serum cholesterol in Finland (65).

5.4.5 Disease-specific recommendations

Measures aimed at reducing the risk of CVD are outlined below. The strength of evidence on lifestyle factors is summarized in Table 10.

Fats

Dietary intake of fats strongly influences the risk of cardiovascular diseases such as coronary heart disease and stroke, through effects on blood lipids, thrombosis, blood pressure, arterial (endothelial) function, arrythmogenesis and inflammation. However, the qualitative composition of fats in the diet has a significant role to play in modifying this risk.

Table 10. Summary of strength of evidence on lifestyle factors and risk of developing cardiovascular diseases

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Regular physical activity
Linoleic acid
Fish and fish oils (EHA and DHA)
Vegetables and fruits (including berries)
Potassium
Low to moderate alcohol intake(for coronary heart disease)

Vitamin E supplements

Myristic and palmitic acids
Trans fatty acids
High sodium intake
Overweight
High alcohol intake (for stroke)

Probable

a-Linolenic acid
Oleic acid
NSP
Wholegrain cereals
Nuts (unsalted)
Plant sterols/stanols
Folate

Stearic acid

Dietary cholesterol
Unfiltered boiled coffee

Possible

Flavonoids
Soy products


Fats rich in lauric acid
Impaired fetal nutrition
Beta-carotene supplements

Inufficient

Calcium
Magnesium
Vitamin C


Carbohydrates
Iron

EPA, eicosapentaenoic acid; DHA, docosahexaenoic acid; NSP, non-starch polysaccharides.

The evidence shows that intake of saturated fatty acids is directly related to cardiovascular risk. The traditional target is to restrict the intake of saturated fatty acids to less than 10%, of daily energy intake and less than 7% for high-risk groups. If populations are consuming less than 10%, they should not increase that level of intake. Within these limits, intake of foods rich in myristic and palmitic acids should be replaced by fats with a lower content of these particular fatty acids. In developing countries, however, where energy intake for some population groups may be inadequate, energy expenditure is high and body fat stores are low (BMI <18.5 kg/m2). The amount and quality of fat supply has to be considered keeping in mind the need to meet energy requirements. Specific sources of saturated fat, such as coconut and palm oil, provide low-cost energy and may be an important source of energy for the poor.

Not all saturated fats have similar metabolic effects; those with 12-16 carbons in the fatty acid chain have a greater effect on raising LDL cholesterol. This implies that the fatty acid composition of the fat source should be examined. As populations progress in the nutrition transition and energy excess becomes a potential problem, restricting certain fatty acids becomes progressively more relevant to ensuring cardiovascular health.

To promote cardiovascular health, diets should provide a very low intake of trans fatty acids (hydrogenated oils and fats). In practice, this implies an intake of less than 1% of daily energy intake. This recommendation is especially relevant in developing countries where low-cost hydrogenated fat is frequently consumed. The potential effect of human consumption of hydrogenated oils of unknown physiological effects (e.g. marine oils) is of great concern.

Diets should provide an adequate intake of PUFAs, i.e. in the range 6-10% of daily energy intake. There should also be an optimal balance between intake of n-6 PUFAs and n-3 PUFAs, i.e. 5-8% and 1-2% of daily energy intake, respectively.

Intake of oleic acid, a monounsaturated fatty acid, should make up the rest of the daily energy intake from fats, to give a daily total fat intake ranging from15%up to30%of daily energy intake. Recommendations for total fat intake may be based on current levels of population consumption in different regions and modified to take account of age, activity and ideal body weight. Where obesity is prevalent, for example, an intake in the lower part of the range is preferable in order to achieve a lower energy intake. While there is no evidence to directly link the quantity of daily fat intake to an increased risk of CVD, total fat consumption should be limited to enable the goals of reduced intake of saturated and trans fatty acids to be met easily in most populations and to avoid the potential problems of undesirable weight gain that may arise from unrestricted fat intake. It should be noted that highly active groups with diets rich in vegetables, legumes, fruits and wholegrain cereals will limit the risk of unhealthy weight gain on a diet comprising a total fat intake of up to 35%.

These dietary goals can be met by limiting the intake of fat from dairy and meat sources, avoiding the use of hydrogenated oils and fats in cooking and manufacture of food products, using appropriate edible vegetable oils in small amounts, and ensuring a regular intake of fish (one to two times per week) or plant sources of a-linolenic acid. Preference should be given to food preparation practices that employ non-frying methods.

Fruits and vegetables

Fruits and vegetables contribute to cardiovascular health through the variety of phytonutrients, potassium and fibre that they contain. Daily intake of fresh fruit and vegetables (including berries, green leafy and cruciferous vegetables and legumes), in an adequate quantity (400-500 g per day), is recommended to reduce the risk of coronary heart disease, stroke and high blood pressure.

Sodium

Dietary intake of sodium, from all sources, influences blood pressure levels in populations and should be limited so as to reduce the risk of coronary heart disease and both forms of stroke. Current evidence suggests that an intake of no more than 70 mmol or 1.7 g of sodium per day is beneficial in reducing blood pressure. The special situation of individuals (i.e. pregnant women and non-acclimated people who perform strenuous physical activity in hot environments) who may be adversely affected by sodium reduction needs to be kept in mind.

Limitation of dietary sodium intake to meet these goals should be achieved by restricting daily salt (sodium chloride) intake to less than 5 g per day. This should take into account total sodium intake from all dietary sources, for example additives such as monosodium glutamate and preservatives. Use of potassium-enriched low-sodium substitutes is one way to reduce sodium intake. The need to adjust salt iodization, depending on observed sodium intake and surveillance of iodine status of the population, should be recognized.

Potassium

Adequate dietary intake of potassium lowers blood pressure and is protective against stroke and cardiac arrythmias. Potassium intake should be at a level which will keep the sodium to potassium ratio close to 1.0, i.e. a daily potassium intake level of 70-80 mmol per day. This may be achieved through adequate daily consumption of fruits and vegetables.

NSP (dietary fibre)[7]

Fibre is protective against coronary heart disease and has also been used in diets to lower blood pressure. Adequate intake may be achieved through fruits, vegetables and wholegrain cereals.

Fish

Regular fish consumption (1-2 servings per week) is protective against coronary heart disease and ischaemic stroke and is recommended. The serving should provide an equivalent of 200-500 mg of eicosapentaenoic and docosahexaenoic acid. People who are vegetarians are recommended to ensure adequate intake of plant sources of a-linolenic acid.

Alcohol

Although regular low to moderate consumption of alcohol is protective against coronary heart disease, other cardiovascular and health risks associated with alcohol do not favour a general recommendation for its use.

Physical activity

Physical activity is related to the risk of cardiovascular diseases, especially coronary heart disease, in a consistent inverse dose-response fashion when either volume or intensity are used for assessment. These relationships apply to both incidence and mortality rates from all cardiovascular diseases and from coronary heart disease. At present, no consistent dose-response relationship can be found between risk of stroke and physical activity. The lower limits of volume or intensity of the protective dose of physical activity have not been defined with certainty, but the current recommendation of at least 30 minutes of at least moderate-intensity physical activity on most days of the week is considered sufficient. A higher volume or intensity of activity would confer a greater protective effect. The recommended amount of physical activity is sufficient to raise cardiorespiratory fitness to the level that has been shown to be related to decreased risk of cardiovascular disease. Individuals who are unaccustomed to regular exercise or have a high-risk profile for CVD should avoid sudden and high-intensity bursts of physical activity.

References

1. Reddy KS. Cardiovascular diseases in the developing countries: dimensions, determinants, dynamics and directions for public health action. Public Health Nutrition, 2002, 5:231-237.

2. Kris-Etherton PM et al. Summary of the scientific conference on dietary fatty acids and cardiovascular health: conference summary from the nutrition committee of the American Heart Association. Circulation, 2001, 103:1034-1039.

3. Grundy SM, Vega GL. Plasma cholesterol responsiveness to saturated fatty acids. American Journal of Clinical Nutrition, 1988, 47:822-824.

4. Katan MJ, Zock PL, Mensink RP. Dietary oils, serum lipoproteins and coronary heart disease. American Journal of Clinical Nutrition, 1995, 61(Suppl. 6):1368-1373.

5. Mensink RP, Katan MB. Effect of dietary fatty acids on serum lipids and lipoproteins. A meta-analysis of 27 trials. Arteriosclerosis and Thrombosis, 1992, 12:911-919.

6. Hu FB et al. Dietary fat intake and the risk of coronary heart disease in women. New England Journal of Medicine, 1997, 337:1491-1499.

7. Katan MB. Trans fatty acids and plasma lipoproteins. Nutrition Reviews, 2000, 58:188-191.

8. Oomen CM et al. Association between trans fatty acid intake and 10-year risk of coronary heart disease in the Zutphen Elderly Study: a prospective population-based study. Lancet, 2001, 357:746-751.

9. Willett WC et al. Intake of trans fatty acids and risk of coronary heart disease among women. Lancet, 1993, 341:581-585.

10. Kris-Etherton PM. Monosaturated fatty acids and risk of cardiovascular disease. Circulation, 1999, 100:1253-1258.

11. Mori TA, Beilin LJ. Long-chain omega 3 fatty acids, blood lipids and cardiovascular risk reduction. Current Opinion in Lipidology, 2001, 12:11-17.

12. GISSI-Prevenzione investigators. Dietary supplementation with n-3 polyunsaturated fatty acids and vitamin E after myocardial infarction: results of the GISSI-Prevenzione trial. Gruppo Italiano per lo Studio della Sopravvivenza nell’Infarto Miocardico. Lancet, 1999, 354:447-455.

13. Hu FB et al. Fish and omega-3 fatty acid intake and risk of coronary heart disease in women. American Journal of Clinical Nutrition, 1999, 69:890-897.

14. Ascherio A et al. Dietary fat and risk of coronary heart disease in men: cohort follow-up study in the United States. British Medical Journal, 1996, 313:84-90.

15. Hopkins PN. Effects of dietary cholesterol on serum cholesterol: a meta-analysis and review. American Journal of Clinical Nutrition, 1992, 55:1060-1070.

16. Hu FB et al. A prospective study of egg consumption and risk of cardiovascular disease in men and women. Journal of the American Medical Association, 1999, 281:1387-1394.

17. Miettinen TA et al. Reduction of serum cholesterol with sitostanol-ester margarine in a mildly hypercholesterolemic population. New England Journal of Medicine, 1995, 333:1308-1312.

18. Law M. Plant sterols and stanol margarines and health. British Medical Journal, 2000, 320:861-864.

19. Anderson JW, Hanna TJ. Impact of nondigestible carbohydrates on serum lipoproteins and risk for cardiovascular disease. Journal of Nutrition, 1999, 129:1457-1466.

20. Truswell AS. Cereal grains and coronary heart disease. European Journal of Clinical Nutrition, 2002, 56:1-14.

21. Liu S et al. Whole-grain consumption and risk of coronary heart disease: results from the Nurses’ Health Study. American Journal of Clinical Nutrition, 1999, 70:412-419.

22. Pietinen P et al. Intake of dietary fiber and risk of coronary heart disease in a cohort of Finnish men. The Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Circulation, 1996, 94:2720-2727.

23. Rimm EB et al. Vegetable, fruit, and cereal fiber intake and risk of coronary heart disease among men. Journal of the American Medical Association, 1996, 275:447-451.

24. Yusuf S et al. Vitamin E supplementation and cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. New England Journal of Medicine, 2000, 342:154-160.

25. Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of antioxidant vitamin supplementation in 20 536 high-risk individuals: a randomised placebo-controlled trial. Lancet, 2002, 360:23-33.

26. Egger M, Schneider M, Davey-Smith G. Spurious precision? Meta-analysis of observational studies. British Medical Journal, 1998, 316:140-144.

27. Brouwer IA et al. Low dose folic acid supplementation decreases plasma homocysteine concentrations: a randomized trial. American Journal of Clinical Nutrition, 1999, 69:99-104.

28. Ueland PM et al. The controversy over homocysteine and cardiovascular risk. American Journal of Clinical Nutrition, 2000, 72:324-332.

29. Nygard O et al. Total plasma homocysteine and cardiovascular risk profile. The Hordaland Homocysteine Study. Journal of the American Medical Association, 1995, 274:1526-1533.

30. Brattstrom L, Wilcken DEL. Homocysteine and cardiovascular disease: cause or effect? American Journal of Clinical Nutrition, 2000, 72:315-323.

31. Guttormsen AB et al. Kinetic basis of hyperhomocysteinemia in patients with chronic renal failure. Kidney International, 1997, 52:495-502.

32. Rimm EB et al. Folate and vitamin B6 from diet and supplements in relation to risk of coronary heart disease among women. Journal of the American Medical Association, 1998, 279:359-364.

33. Wald DS, Law M, Morris JK. Homocysteine and cardiovascular disease: evidence on causality from a meta-analysis. British Medical Journal, 325:1202-1208.

34. Keli SO et al. Dietary flavonoids, antioxidant vitamins, and incidence of stroke: the Zutphen study. Archives of Internal Medicine, 1996. 156:637-642.

35. Hertog MGL et al. Dietary antioxidant flavonoids and risk of coronary heart disease: the Zutphen Elderly Study. Lancet, 1993, 342:1007-1011.

36. Gibbs CR, Lip GY, Beevers DG. Salt and cardiovascular disease: clinical and epidemiological evidence. Journal of Cardiovascular Risk, 2000, 7:9-13.

37. Law MR, Frost CD, Wald NJ. By how much does salt reduction lower blood pressure? III-Analysis of data from trials of salt reduction. British Medical Journal, 1991, 302:819-824.

38. Tuomilehto J et al. Urinary sodium excretion and cardiovascular mortality in Finland: a prospective study. Lancet, 2001, 357:848-851.

39. Cutler JA, Follmann D, Allender PS. Randomized trials of sodium reduction: an overview. American Journal of Clinical Nutrition, 1997, 65:643-651.

40. Midgley JP et al. Effect of reduced dietary sodium on blood pressure: a meta-analysis of randomized controlled trials. Journal of the American Medical Association, 1996, 275:1590-1597.

41. Geleijnse JM et al. Long-term effects of neonatal sodium restriction on blood pressure. Hypertension, 1997, 29:913-917 (erratum appears in Hypertension, 1997, 29:1211).

42. Hofman A, Hazebroek A, Valkenburg HA. A randomized trial of sodium intake and blood pressure in newborn infants. Journal of the American Medical Association, 1983, 250:370-373.

43. Whelton PK et al. Sodium reduction and weight loss in the treatment of hypertension in older persons. Journal of the American Medical Association, 1998, 279:839-846 (erratum appears in Journal of the American Medical Association, 1998, 279:1954).

44. Sacks FM et al. Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. New England Journal of Medicine, 2001, 344:3-10.

45. Forte JG et al. Salt and blood pressure: a community trial. Journal of Human Hypertension, 1989, 3:179-184.

46. Tian HG et al. Changes in sodium intake and blood pressure in a community-based intervention project in China. Journal of Human Hypertension, 1995, 9:959-968.

47. Whelton PK et al. Effects of oral potassium on blood pressure. Meta-analysis of randomized controlled clinical trials. Journal of the American Medical Association, 1997, 277:1624-1632.

48. Ascherio A et al. Intake of potassium, magnesium, and fiber and risk of stroke among US men. Circulation, 1998, 98:1198-1204.

49. Khaw KT, Barrett-Connor E. Dietary potassium and stroke-associated mortality. A12-year prospective population study. New England Journal of Medicine, 1987, 316:235-240.

50. Ness AR, Powles JW. Fruit and vegetables, and cardiovascular disease: a review. International Journal of Epidemiology, 1997, 26:1-13.

51. Liu S et al. Fruit and vegetable intake and risk of cardiovascular disease: the Women’s Health Study. American Journal of Clinical Nutrition, 2000, 72:922-928.

52. Joshipura KJ et al. Fruit and vegetable intake in relation to risk of ischemic stroke. Journal of the American Medical Association, 1999, 282:1233-1239.

53. Gilman MW et al. Protective effect of fruits and vegetables on development of stroke in men. Journal of the American Medical Association, 1995, 273:1113-1117.

54. Appel LJ et al. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. New England Journal of Medicine, 1998, 336:1117-1124.

55. Marckmann P, Gronbaek M. Fish consumption and coronary heart disease mortality. A systematic review of prospective cohort studies. European Journal of Clinical Nutrition, 1999, 53:585-590.

56. Burr ML et al. Effects of changes in fat, fish and fibre intakes on death and myocardial reinfarction: diet and reinfarction trial (DART). Lancet, 1989, 2:757-761.

57. Zhang J et al. Fish consumption and mortality from all causes, ischemic heart disease, and stroke: an ecological study. Preventive Medicine, 1999, 28:520-529.

58. Kris-Etherton PM et al. The effects of nuts on coronary heart disease risk. Nutrition Reviews, 2001, 59:103-111.

59. Hu FB, Stampfer MJ. Nut consumption and risk of coronary heart disease: a review of epidemiologic evidence. Current Atherosclerosis Reports, 1999, 1:204-209.

60. Third International Symposium on the Role of Soy in Preventing and Treating Chronic Disease. Journal of Nutrition, 2000, 130(Suppl.):653-711.

61. Crouse JR et al. Randomized trial comparing the effect of casein with that of soy protein containing varying amounts of isoflavones on plasma concentrations of lipids and lipoproteins. Archives of Internal Medicine, 1999, 159:2070-2076.

62. Anderson JW, Smith BM, Washnok CS. Cardiovascular and renal benefits of dry bean and soybean intake. American Journal of Clinical Nutrition, 1999, 70:464-474.

63. Rimm EB et al. Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and haemostatic factors. British Medical Journal, 1999, 319:1523-1528.

64. Tverdal A et al. Coffee consumption and death from coronary heart disease in middle-aged Norwegian men and women. British Medical Journal, 1990, 300:566-569.

65. Pietinen P et al. Changes in diet in Finland from 1972 to 1992: impact on coronary heart disease risk. Preventive Medicine, 1996, 25:243-250.

5.5 Recommendations for preventing cancer

5.5.1 Background

Cancer is caused by a variety of identified and unidentified factors. The most important established cause of cancer is tobacco smoking. Other important determinants of cancer risk include diet, alcohol and physical activity, infections, hormonal factors and radiation. The relative importance of cancers as a cause of death is increasing, mostly because of the increasing proportion of people who are old, and also in part because of reductions in mortality from some other causes, especially infectious diseases. The incidence of cancers of the lung, colon and rectum, breast and prostate generally increases in parallel with economic development, while the incidence of stomach cancer usually declines with development.

5.5.2 Trends

Cancer is now a major cause of mortality throughout the world and, in the developed world, is generally exceeded only by cardiovascular diseases. An estimated 10 million new cases and over 6 million deaths from cancer occurred in 2000 (1). As developing countries become urbanized, patterns of cancer, including those most strongly associated with diet, tend to shift towards those of economically developed countries. Between 2000 and 2020, the total number of cases of cancer in the developing world is predicted to increase by 73% and, in the developed world, to increase by 29%, largely as a result of an increase in the number of old people (1).

5.5.3 Diet, physical activity and cancer

Dietary factors are estimated to account for approximately 30% of cancers in industrialized countries (2), making diet second only to tobacco as a theoretically preventable cause of cancer. This proportion is thought to be about 20% in developing countries (3), but may grow with dietary change, particularly if the importance of other causes, especially infections, declines. Cancer rates change as populations move between countries and adopt different dietary (and other) behaviours, further implicating dietary factors in the etiology of cancer.

Body weight and physical inactivity together are estimated to account for approximately one-fifth to one-third of several of the most common cancers, specifically cancers of the breast (postmenopausal), colon, endometrium, kidney and oesophagus (adenocarcinoma) (4).

5.5.4 Strength of evidence

Research to date has uncovered few definite relationships between diet and cancer risk. Dietary factors for which there is convincing evidence for an increase in risk are overweight and obesity, and a high consumption of alcoholic beverages, aflatoxins, and some forms of salting and fermenting fish. There is also convincing evidence to indicate that physical activity decreases the risk of colon cancer. Factors which probably increase risk include high dietary intake of preserved meats, salt-preserved foods and salt, and very hot (thermally) drinks and food. Probable protective factors are consumption of fruits and vegetables, and physical activity (for breast cancer). After tobacco, overweight and obesity appear to be the most important known avoidable causes of cancer.

The role of diet in the etiology of the major cancers

Cancers of the oral cavity, pharynx and oesophagus. In developed countries the main risk factors for cancers of the oral cavity, pharynx and oesophagus are alcohol and tobacco, and up to 75% of such cancers are attributable to these two lifestyle factors (5). Overweight and obesity are established risk factors specifically for adenocarcinoma (but not squamous cell carcinoma) of the oesophagus (6-8). In developing countries, around 60% of cancers of the oral cavity, pharynx and oesophagus are thought to be a result of micronutrient deficiencies related to a restricted diet that is low in fruits and vegetables and animal products (5, 9). The relative roles of various micronutrients are not yet clear (5, 9). There is also consistent evidence that consuming drinks and foods at a very high temperature increases the risk for these cancers (10). Nasopharyngeal cancer is particularly common in South-East Asia (11), and has been clearly associated with a high intake of Chinese-style salted fish, especially during early childhood (12, 13), as well as with infection with the Epstein-Barr virus (2).

Stomach cancer. Until about 20 years ago stomach cancer was the most common cancer in the world, but mortality rates have been falling in all industrialized countries (14) and stomach cancer is currently much more common in Asia than in North America or Europe (11). Infection with the bacterium Helicobacter pylori is an established risk factor, but not a sufficient cause, for the development of stomach cancer (15). Diet is thought to be important in the etiology of this disease; substantial evidence suggests that risk is increased by high intakes of some traditionally preserved salted foods, especially meats and pickles, and with salt per se, and that risk is decreased by high intakes of fruits and vegetables (16), perhaps because of their vitamin C content. Further prospective data are needed, in particular to examine whether some of the dietary associations may be partly confounded by Helicobacter pylori infection and whether dietary factors may modify the association of Helicobacter pylori with risk.

Colorectal cancer. Colorectal cancer incidence rates are approximately ten-fold higher in developed than in developing countries (11), and it has been suggested that diet-related factors mayaccount for up to80%of the differences in rates between countries (17). The best established diet-related risk factor is overweight/obesity (8) and physical activity has been consistently associated with a reduced risk of colon cancer (but not of rectal cancer) (8, 18). These factors together, however, do not explain the large variation between populations in colorectal cancer rates. There is almost universal agreement that some aspects of the “westernized” diet are a major determinant of risk; for instance, there is some evidence that risk is increased by high intakes of meat and fat, and that risk is decreased by high intakes of fruits and vegetables, dietary fibre, folate and calcium, but none of these hypotheses has been firmly established.

International correlation studies have shown a strong association between per capita consumption of meat and colorectal cancer mortality (19), and a recent systematic review concluded that preserved meat is associated with an increased risk for colorectal cancer but that fresh meat is not (20). However, most studies have not observed positive associations with poultry or fish (9). Overall, the evidence suggests that high consumption of preserved and red meat probably increases the risk for colorectal cancer.

As with meat, international correlation studies show a strong association between per capita consumption of fat and colorectal cancer mortality (19). However, the results of observational studies of fat and colorectal cancer have, overall, not been supportive of an association with fat intake (9, 21).

Many case-control studies have observed a weak association between the risk of colorectal cancer and high consumption of fruits and vegetables and/or dietary fibre (22, 23), but the results of recent large prospective studies have been inconsistent (24-26). Furthermore, results from randomized controlled trials have not shown that intervention over a 3-4 year period with supplemental fibre or a diet low in fat and high in fibre and fruits and vegetables can reduce the recurrence of colorectal adenomas (27-29). It is possible that some of the inconsistencies are a result of differences between studies in the types of fibre eaten and in the methods for classifying fibre in food tables, or that the association with fruits and vegetables arises principally from an increase in risk at very low levels of consumption (30). On balance, the evidence that is currently available suggests that intake of fruits and vegetables probably reduces the risk for colorectal cancer.

Recent studies have suggested that vitamins and minerals might influence the risk for colorectal cancer. Some prospective studies have suggested that a high intake of folate from diet or vitamin supplements is associated with a reduced risk for colon cancer (31-33). Another promising hypothesis is that relatively high intakes of calcium may reduce the risk for colorectal cancer; several observational studies have supported this hypothesis (9, 34), and two trials have indicated that supplemental calcium may have a modest protective effect on the recurrence of colorectal adenomas (29, 35).

Liver cancer. Approximately 75% of cases of liver cancer occur in developing countries, and liver cancer rates vary over 20-fold between countries, being much higher in sub-Saharan Africa and South-East Asia than in North America and Europe (11). The major risk factor for hepatocellular carcinoma, the main type of liver cancer, is chronic infection with hepatitis B, and to a lesser extent, hepatitis C virus (36). Ingestion of foods contaminated with the mycotoxin, aflatoxin is an important risk factor among people in developing countries, together with active hepatitis virus infection (13, 37). Excessive alcohol consumption is the main diet-related risk factor for liver cancer in industrialized countries, probably via the development of cirrhosis and alcoholic hepatitis (5).

Pancreatic cancer. Cancer of the pancreas is more common in industrialized countries than in developing countries (11, 38). Overweight and obesity possibly increase the risk (9, 39). Some studies have suggested that risk is increased by high intakes of meat, and reduced by high intakes of vegetables, but these data are not consistent (9).

Lung cancer. Lung cancer is the most common cancer in the world (11). Heavy smoking increases the risk by around 30-fold, and smoking causes over 80% of lung cancers in developed countries (5). Numerous observational studies have found that lung cancer patients typically report a lower intake of fruits, vegetables and related nutrients (such as b-carotene) than controls (9, 34). The only one of these factors to have been tested in controlled trials, namely b-carotene, has, however, failed to produce any benefit when given as a supplement for up to 12 years (40-42). The possible effect of diet on lung cancer risk remains controversial, and the apparent protective effect of fruits and vegetables may be largely the result of residual confounding by smoking, since smokers generally consume less fruit and vegetables than non-smokers. In public health terms, the overriding priority for preventing lung cancer is to reduce the prevalence of smoking.

Breast cancer. Breast cancer is the second most common cancer in the world and the most common cancer among women. Incidence rates are about five times higher in industrialized countries than in less developed countries and Japan (11). Much of this international variation is a result of differences in established reproductive risk factors such as age at menarche, parity and age at births, and breastfeeding (43, 44), but differences in dietary habits and physical activity may also contribute. In fact, age at menarche is partly determined by dietary factors, in that restricted dietary intake during childhood and adolescence leads to delayed menarche. Adult height, also, is weakly positively associated with risk, and is partly determined by dietary factors during childhood and adolescence (43). Estradiol and perhaps other hormones play a key role in the etiology of breast cancer (43), and it is possible that any further dietary effects on risk are mediated by hormonal mechanisms.

The only dietary factors which have been shown to increase the risk for breast cancer are obesity and alcohol. Obesity increases breast cancer risk in postmenopausal women by around 50%, probably by increasing serum concentrations of free estradiol (43). Obesity does not increase risk among premenopausal women, but obesity in premenopausal women is likely to lead to obesity throughout life and therefore to an eventual increase in breast cancer risk. For alcohol, there is now a large body of data from well-designed studies which consistently shows a small increase in risk with increasing consumption, with about a 10% increase in risk for an average of one alcoholic drink every day (45). The mechanism for this association is not known, but may involve increases in estrogen levels (46).

The results of studies of other dietary factors including fat, meat, dairy products, fruits and vegetables, fibre and phyto-estrogens are inconclusive (9, 34, 47, 48).

Endometrial cancer. Endometrial cancer risk is about three-fold higher in obese women than in lean women (8, 49), probably because of the effects of obesity on hormone levels (50). Some case-control studies have suggested that diets high in fruits and vegetables may reduce risk and that diets high in saturated or total fat may increase risk, but the amount of available data is limited (9).

Prostate cancer. Prostate cancer incidence rates are strongly affected by diagnostic practices and therefore difficult to interpret, but mortality rates show that death from prostate cancer is about 10 times more common in North America and Europe than in Asia (11).

Little is known about the etiology of prostate cancer, although ecological studies suggest that it is positively associated with a “westernized” diet (19). The data from prospective studies have not established causal or protective associations for specific nutrients or dietary factors (9, 34). Diets high in red meat, dairy products and animal fat have frequently been implicated in the development of prostate cancer, although the data are not entirely consistent (9, 51-53). Randomized controlled trials have provided substantial, consistent evidence that supplements of b-carotene do not alter the risk for prostate cancer (40, 41, 54) but have suggested that vitamin E (54) and selenium (55) might have a protective effect. Lycopene, primarily from tomatoes, has been associated with a reduced risk in some observational studies, but the data are not consistent (56). Hormones control the growth of the prostate, and diet might influence prostate cancer risk by affecting hormone levels.

Kidney cancer. Overweight and obesity are established risk factors for cancer of the kidney, and may account for up to 30% of kidney cancers in both men and women (57).

Table 11 provides a summary of strength of evidence with regard to the role of various risk factors in the development of cancer.

Table 11. Summary of strength of evidence on lifestyle factors and the risk of developing cancer

Evidence

Decreased risk

Increased risk

Convincinga

Physical activity (colon)

Overweight and obesity (oesophagus, colorectum, breast in postmenopausal women, endometrium, kidney)
Alcohol (oral cavity, pharynx, larynx, oesophagus, liver, breast)
Aflatoxin (liver)
Chinese-style salted fish (nasopharynx)

Probablea

Fruits and vegetables (oral cavity, oesophagus, stomach, colorectumb)
Physical activity (breast)

Preserved meat (colorectum)
Salt-preserved foods and salt (stomach)
Very hot (thermally) drinks and food (oral cavity, pharynx, oesophagus)

Possible/insufficient

Fibre
Soya
Fish
n-3 Fatty acids
Carotenoids
Vitamins B2, B6, folate, B12, C, D, E
Calcium, zinc and selenium
Non-nutrient plant constituents (e.g. allium compounds, flavonoids, isoflavones, lignans)

Animal fats
Heterocyclic amines
Polycyclic aromatic hydrocarbons
Nitrosamines

a The “convincing” and “probable” categories in this report correspond to the “sufficient” category of the IARC report on weight control and physical activity (4) in terms of the public health and policy implications.

b For colorectal cancer, a protective effect of fruit and vegetable intake has been suggested by many case-control studies but this has not been supported by results of several large prospective studies, suggesting that if a benefit does exist it is likely to be modest.

The Consultation recognized the problems posed by the lack of data on diet and cancer from the developing world. There are very limited data from Africa, Asia and Latin America, yet these regions represent two-thirds or more of the world population. There is thus an urgent need for epidemiological research on diet and cancer in these regions. The need to evaluate the role of food processing methods, traditional and industrial, was also identified. Microbiological and chemical food contaminants may also contribute to carcinogenicity of diets.

The nutrition transition is accompanied by changes in prevalence of specific cancers. For some cancers, such as stomach cancer, this may be beneficial while for others, such as colorectal and breast cancers, the changes are adverse.

5.5.5 Disease-specific recommendations

The main recommendations for reducing the risk of developing cancer are as follows:

References

1. Parkin DM. Global cancer statistics in the year 2000. Lancet Oncology, 2001, 2:533-543.

2. Doll R, Peto R. Epidemiology of cancer. In: Weatherall DJ, Ledingham JGG, Warrell DA, eds. Oxford textbook of medicine. Oxford, Oxford University Press, 1996:197-221.

3. Willet MC. Diet, nutrition, and avoidable cancer. Environmental Health Perspectives, 1995, 103(Suppl. 8):S165-S170.

4. Weight control and physical activity. Lyon, International Agency for Research on Cancer, 2002 (IARC Handbooks of Cancer Prevention, Vol. 6).

5. Cancer: causes, occurrence and control. Lyon, International Agency for Research on Cancer, 1990 (IARC Scientific Publications, No. 100).

6. Brown LM et al. Adenocarcinoma of the esophagus: role of obesity and diet. Journal of the National Cancer Institute, 1995, 87:104-109.

7. Cheng KK et al. A case-control study of oesophageal adenocarcinoma in women: a preventable disease. British Journal of Cancer, 2000, 83:127-132.

8. Overweight and lack of exercise linked to increased cancer risk. In: Weight control and physical activity. Lyon, International Agency for Research on Cancer, 2002 (IARC Handbooks of Cancer Prevention, Vol. 6).

9. Food, nutrition and the prevention of cancer: a global perspective. Washington, DC, World Cancer Research Fund/American Institute for Cancer Research, 1997.

10. Sharp L et al. Risk factors for squamous cell carcinoma of the oesophagus in women: a case-control study. British Journal of Cancer, 2001, 85:1667-1670.

11. Ferlay J et al. Globocan 2000: cancer incidence, mortality and prevalence worldwide. Version 1.0. Lyon, International Agency for Research on Cancer, 2001 (IARC CancerBase No. 5; available on the Internet at http://www-dep.iarc.fr/globocan/globocan.html).

12. Yu MC. Nasopharyngeal carcinoma: epidemiology and dietary factors. In: O’Neill IK, Chen J, Bartsch H, eds. Relevance to human cancer of N-nitroso compounds, tobacco smoke and mycotoxins. Lyon, International Agency for Research on Cancer, 1991:39-47 (IARC Scientific Publications, No. 105).

13. Some naturally occurring substances: food items and constituents, heterocyclic aromatic amines and mycotoxins. Lyon, International Agency for Research on Cancer, 1993 (IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Vol. 56).

14. World health statistics annual. Geneva, World Health Organization, 2001 (available on the Internet at http://www.who.int/whosis/).

15. Helicobacter and Cancer Collaborative Group. Gastric cancer and Helicobacter pylori: a combined analysis of 12 case-control studies nested within prospective cohorts. Gut, 2001, 49:347-353.

16. Palli D. Epidemiology of gastric cancer: an evaluation of available evidence. Journal of Gastroenterology, 2000, 35(Suppl. 12):S84-S89.

17. Cummings JH, Bingham SA. Diet and the prevention of cancer. British Medical Journal, 1998, 317:1636-1640.

18. Hardman AE. Physical activity and cancer risk. Proceedings of the Nutrition Society, 2001, 60:107-113.

19. Armstrong B, Doll R. Environmental factors and cancer incidence and mortality in different countries, with special reference to dietary practices. International Journal of Cancer, 1975, 15:617-631.

20. Norat T et al. Meat consumption and colorectal cancer risk: a dose-response meta-analysis of epidemiological studies. International Journal of Cancer, 2002, 98:241-256.

21. Howe GR et al. The relationship between dietary fat intake and risk of colorectal cancer: evidence from the combined analysis of 13 case-control studies. Cancer Causes and Control, 1997, 8:215-228.

22. Potter JD, Steinmetz K. Vegetables, fruit and phytoestrogens as preventive agents. In: Stewart BW, McGregor D, Kleihues P, eds. Principles of chemoprevention. Lyon, International Agency for Research on Cancer, 1996:61-90 (IARC Scientific Publications, No. 139).

23. Jacobs DR Jr et al. Whole-grain intake and cancer: an expanded review and meta-analysis. Nutrition and Cancer, 1998, 30:85-96.

24. Bueno de Mesquita HB, Ferrari P, Riboli E (on behalf of EPIC Working Group on Dietary Patterns). Plant foods and the risk of colorectal cancer in Europe: preliminary findings. In: Riboli E, Lambert R, eds. Nutrition and lifestyle: opportunities for cancer prevention. Lyon, International Agency for Research on Cancer, 2002:89-95 (IARC Scientific Publications, No. 156).

25. Fuchs CS et al. Dietary fiber and the risk of colorectal cancer and adenoma in women. New England Journal of Medicine, 1999, 340:169-176.

26. Michels KB et al. Prospective study of fruit and vegetable consumption and incidence of colon and rectal cancers. Journal of the National Cancer Institute, 2000, 92:1740-1752.

27. Schatzkin A et al. Lack of effect of a low-fat, high-fiber diet on the recurrence of colorectal adenomas. Polyp Prevention Trial Study Group. New England Journal of Medicine, 2000, 342:1149-1155.

28. Alberts DSet al. Lack of effect of a high-fiber cereal supplement on the recurrence of colorectal adenomas. Phoenix Colon Cancer Prevention Physicians’ Network. New England Journal of Medicine, 2000, 342:1156-1162.

29. Bonithon-Kopp C et al. Calcium and fibre supplementation in prevention of colorectal adenoma recurrence: a randomised intervention trial. European Cancer Prevention Organisation Study Group. Lancet, 2000, 356:1300-1306.

30. Terry P et al. Fruit, vegetables, dietary fiber, and risk of colorectal cancer. Journal of the National Cancer Institute, 2001, 93:525-533.

31. Giovannucci E et al. Alcohol, low-methionine, low-folate diets, and risk of colon cancer in men. Journal of the National Cancer Institute, 1995, 87:265-273.

32. Glynn SA et al. Alcohol consumption and risk of colorectal cancer in a cohort of Finnish men. Cancer Causes and Control, 1996, 7:214-223.

33. Giovannucci E et al. Multivitamin use, folate, and colon cancer in women in the Nurses’ Health Study. Annals of Internal Medicine, 1998, 129:517-524.

34. Nutritional Aspects of the Development of Cancer. Report of the Working Group on Diet and Cancer of the Committee on Medical Aspects of Food and Nutrition Policy. London, The Stationery Office, 1998 (Report on Health and Social Subjects, No. 48).

35. Baron JA et al. Calcium supplements and colorectal adenomas. Polyp Prevention Trial Study Group. Annals of the New York Academy of Sciences, 1999, 889:138-145.

36. Hepatitis viruses. Lyon, International Agency for Research on Cancer, 1994 (IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Vol. 59).

37. Saracco G. Primary liver cancer is of multifactorial origin: importance of hepatitis B virus infection and dietary aflatoxin. Journal of Gastroenterology and Hepatology, 1995, 10:604-608.

38. Parkin DM et al. Estimating the world cancer burden: globocan 2000. International Journal of Cancer, 2001, 94:153-156.

39. Michaud DS et al. Physical activity, obesity, height, and the risk of pancreatic cancer. Journal of the American Medical Association, 2001, 286:921-929.

40. Hennekens CH et al. Lack of effect of long-term supplementation with betacarotene on the incidence of malignant neoplasms and cardiovascular disease. New England Journal of Medicine, 1996, 334:1145-1149.

41. Omenn GS et al. Effects of a combination of beta carotene and vitamin A on lung cancer and cardiovascular disease. New England Journal of Medicine, 1996, 334:1150-1155.

42. Beta Carotene Cancer Prevention Study Group The Alpha-Tocopherol. The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers. New England Journal of Medicine, 1994, 330:1029-1035.

43. Key TJ, Verkasalo PK, Banks E. Epidemiology of breast cancer. Lancet Oncology, 2001, 2:133-140.

44. Collaborative Group on Hormonal Factors in Breast Cancer. Breast cancer and breastfeeding: collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50 302 women with breast cancer and 96 973 women without the disease. Lancet, 2002, 360:187-195.

45. Smith-Warner SA et al. Alcohol and breast cancer in women: a pooled analysis of cohort studies. Journal of the American Medical Association, 1998, 279:535-540.

46. Dorgan JF et al. Serum hormones and the alcohol-breast cancer association in postmenopausal women. Journal of the National Cancer Institute, 2001, 93:710-715.

47. Key TJ, Allen NE. Nutrition and breast cancer. Breast, 2001, 10(Suppl. 3):S9-S13.

48. Smith-Warner SA et al. Intake of fruits and vegetables and risk of breast cancer: a pooled analysis of cohort studies. Journal of the American Medical Association, 2001, 285:769-776.

49. Bergstrom A et al. Overweight as an avoidable cause of cancer in Europe. International Journal of Cancer, 2001, 91:421-430.

50. Key TJ, Pike MC. The dose-effect relationship between “unopposed” oestrogens and endometrial mitotic rate: its central role in explaining and predicting endometrial cancer risk. British Journal of Cancer, 1988, 57:205-212.

51. Schuurman AG et al. Animal products, calcium and protein and prostate cancer risk in The Netherlands Cohort Study. British Journal of Cancer, 1999, 80:1107-1113.

52. Chan JM et al. Dairy products, calcium, and prostate cancer risk in the Physicians’ Health Study. American Journal of Clinical Nutrition, 2001, 74:549-554.

53. Michaud DS et al. A prospective study on intake of animal products and risk of prostate cancer. Cancer Causes and Control, 2001, 12:557-567.

54. Heinonen OP et al. Prostate cancer and supplementation with alpha-tocopherol and beta-carotene: incidence and mortality in a controlled trial. Journal of the National Cancer Institute, 1998, 90:440-446.

55. Clark LC et al. Decreased incidence of prostate cancer with selenium supplementation: results of a double-blind cancer prevention trial. British Journal of Urology, 1998, 81:730-734.

56. Kristal AR, Cohen JH. Invited commentary: tomatoes, lycopene, and prostate cancer. How strong is the evidence? American Journal of Epidemiology, 2000, 151:124-127.

57. Bergstrom A et al. Obesity and renal cell cancer-a quantitative review. British Journal of Cancer, 2001, 85:984-990.

58. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva, World Health Organization, 2000 (WHO Technical Report Series, No. 894).

5.6 Recommendations for preventing dental diseases

5.6.1 Background

Oral health is related to diet in many ways, for example, through nutritional influences on cranio-facial development, oral cancer and oral infectious diseases. The purpose of this review, however, is to focus on the nutritional aspects of dental diseases. Dental diseases include dental caries, developmental defects of enamel, dental erosion and periodontal disease. Dental diseases are a costly burden to health care services, accounting for between 5% and 10% of total health care expenditures and exceeding the cost of treating cardiovascular disease, cancer and osteoporosis in industrialized countries (1). In low-income countries, the cost of traditional restorative treatment of dental disease would probably exceed the available resources for health care. Dental health promotion and preventive strategies are clearly more affordable and sustainable.

Although not life-threatening, dental diseases have a detrimental effect on quality of life in childhood through to old age, having an impact on self-esteem, eating ability, nutrition and health. In modern society, a significant role of teeth is to enhance appearance; facial appearance is very important in determining an individual’s integration into society, and teeth also play an essential role in speech and communication. Oral diseases are associated with considerable pain, anxiety and impaired social functioning (2, 3). Dental decay may result in tooth loss, which reduces the ability to eat a nutritious diet, the enjoyment of food, the confidence to socialize and the quality of life (4-6).

5.6.2 Trends

The amount of dental decay is measured using the dmf/DMF index, a count of the number of teeth or surfaces in a person’s mouth that are decayed, missing or filled as a result of caries in primary dentition/ permanent dentition. An additional dental status indicator is the proportion of the population who are edentulous (have no natural teeth).

In most low-income countries, the prevalence rate of dental caries is relatively low and more than 90% of caries are untreated. Available data (7) show that the mean number of decayed, missing or filled permanent teeth (DMFT) at age 12 years in low-income countries is 1.9, 3.3 in middle-income countries and 2.1 in high-income countries (Table 12).

Data on the level of dental caries in the permanent dentition of 12-yearolds show two distinct trends. First, a fall in the prevalence of dental caries in developed countries, and second an increase in the prevalence of the disease in some developing countries that have increased their consumption of sugars and have not yet been introduced to the presence of adequate amounts of fluoride. Despite the marked overall decline in dental caries over the past 30 years, the prevalence of dental caries remains unacceptably high in many developed countries. Even in countries with low average DMFT scores, a significant proportion of children have relatively high levels of dental caries. Moreover, there is some indication that the favourable trends in levels of dental caries in permanent teeth have come to a halt (8).

Table 12. Trends in levels of dental caries in 12-year-olds (mean DMFT per person aged 12 years)

Country or area

Year

DMFT

Year

DMFT

Year

DMFT

Industrialized countries

Australia

1956

9.3

1982

2.1

1998

0.8

Finland

1975

7.5

1982

4.0

1997

1.1

Japan

1975

5.9

1993

3.6

1999

2.4

Norway

1940

12.0

1979

4.5

1999

1.5

Romania

1985

5.0

1991

4.3

1996

3.8

Switzerland

1961-1963

9.6

1980

1.7

1996

0.8

United Kingdom

1983

3.1

1993

1.4

1996-1997

1.1

United States

1946

7.6

1980

2.6

1998

1.4

Developing countries

Chile

1960

2.8

1978

6.6

1996

4.1

Democratic Republic of the Congo

1971

0.1

1982

0.3

1987

0.4-1.1

French Polynesia

1966

6.5

1986

3.2

1994

3.2

Islamic Republic of Iran

1974

2.4

1976

4.9

1995

2.0

Jordan

1962

0.2

1981

2.7

1995

3.3

Mexico

1975

5.3

1991

2.5-5.1

1997

2.5

Morocco

1970

2.6

1980

4.5

1999

2.5

Philippines

1967

1.4

1981

2.9

1998

4.6

Uganda

1966

0.4

1987

0.5

1993

0.4

DMFT, decayed, missing, filled permanent teeth.

Source: reference 7.

Many developing countries have low decayed, missing, filled primary teeth (dmft) values but a high prevalence of dental caries in the primary dentition. Data on 5-year-old children in Europe suggest that the trend towards reduced prevalence of dental decay has halted (9-11). In children aged 5-7 years, average dmft values of below 2.0 have been reported for Denmark, England, Finland, Italy, Netherlands and Norway (12). Higher dmft values were reported recently for Belarus (4.7) (13), Hungary (4.5) (14), Romania (4.3) (15) and the Russian Federation (4.7) (16).

Being free from caries at age 12 years does not imply being caries-free for life. The mean DMFT in countries of the European Union after 1988 varied between 13.4 and 20.8 at 35-44 years (17). The WHO guidelines on oral health state that at age 35-44 years a DMFT score of 14 or above is considered high. In most developing countries, the level of caries in adults of this age group is lower, for example, 2.1 in China (18) and 5.7 in Niger (19). Few data are available on the prevalence and severity of root caries in older adults, but with the increasingly ageing population and greater retention of teeth, the problem of root caries is likely to become a significant public health concern in the future.

The number of edentulous persons has declined over the past 20-30 years in several industrialized countries (3). Despite overall gains however, there is still a large proportion of older adults who are edentulous or partially dentate and as the population continues to age tooth loss will affect a growing number of persons worldwide. Table 13 summarizes the available information on the prevalence of edentulousness in old-age populations throughout the world.

Dental erosion is a relatively new dental problem in many countries throughout the world, and is related to diet. There is anecdotal evidence that prevalence is increasing in industrialized countries, but there are no data over time to indicate patterns of this disease. There are insufficient data available to comment on worldwide trends; in some populations, however, it is thought that approximately50%of children are affected (20).

5.6.3 Diet and dental disease

Nutritional status affects the teeth pre-eruptively, although this influence is much less important than the post-eruptive local effect of diet on the teeth (21). Deficiencies of vitamins D and A and protein-energy malnutrition have been associated with enamel hypoplasia and salivary gland atrophy (which reduces the mouth’s ability to buffer plaque acids), which render the teeth more susceptible to decay. In developing countries, in the absence of dietary sugars, undernutrition is not associated with dental caries. Undernutrition coupled with a high intake of sugars may exacerbate the risk of caries.

There is some evidence to suggest that periodontal disease progresses more rapidly in undernourished populations (22); the important role of nutrition in maintaining an adequate host immune response may explain this observation. Apart from severe vitamin C deficiency, which may result in scurvy-related periodontitis, there is little evidence at present for an association between diet and periodontal disease. Current research is investigating the potential role of the antioxidant nutrients in periodontal disease. Poor oral hygiene is the most important risk factor in the development of periodontal disease (21). Undernutrition exacerbates the severity of oral infections (e.g. acute necrotizing ulcerative gingivitis) and may eventually lead to their evolution into life-threatening diseases such as noma, a dehumanizing oro-facial gangrene (23).

Table 13. Prevalence of edentulousness in older people throughout the world

Country or area

Prevalence of edentulousness (%)

Age group (years)

African Region

Gambia

6

65 +

Madagascar

25

65-74

Region of the Americas

Canada

58

65 +

United Sates

26

65-69

South-East Asian Region

India

19

65-74

Indonesia

24

65 +

Sri Lanka

37

65-74

Thailand

16

65 +

European Region

Albania

69

65 +

Austria

15

65-74

Bosnia and Herzegovina

78

65 +

Bulgaria

53

65 +

Denmark

27

65-74

Finland

41

65 +

Hungary

27

65-74

Iceland

15

65-74

Italy

19

65-74

Lithuania

14

65-74

Poland

25

65-74

Romania

26

65-74

Slovakia

44

65-74

Slovenia

16

65 +

United Kingdom

46

65 +

Eastern Mediterranean Region

Egypt

7

65 +

Lebanon

20

64-75

Saudi Arabia

31-46

65 +

Western Pacific Region

Cambodia

13

65-74

China

11

65-74

Malaysia

57

65 +

Singapore

21

65 +

Source: reference 7.

Dental caries occur because of demineralization of enamel and dentine by organic acids formed by bacteria in dental plaque through the anaerobic metabolism of sugars derived from the diet (24). Organic acids increase the solubility of calcium hydroxyapatite in the dental hard tissues and demineralization occurs. Saliva is super-saturated with calcium and phosphate at pH 7 which promotes remineralization. If the oral pH remains high enough for sufficient time then complete remineralization of enamel may occur. If the acid challenge is too great, however, demineralization dominates and the enamel becomes more porous until finally a carious lesion forms (25). The development of caries requires the presence of sugars and bacteria, but is influenced by the susceptibility of the tooth, the bacterial profile, and the quantity and quality of the saliva.

Dietary sugars and dental caries

There is a wealth of evidence from many different types of investigation, including human studies, animal experiments and experimental studies in vivo and in vitro to show the role of dietary sugars in the etiology of dental caries (21). Collectively, data from these studies provide an overall picture of the cariogenic potential of carbohydrates. Sugars are undoubtedly the most important dietary factor in the development of dental caries. Here, the term “sugars” refers to all monosaccharides and disaccharides, while the term “sugar” refers only to sucrose. The term “free sugars” refers to all monosaccharides and disaccharides added to foods by the manufacturer, cook or consumer, plus sugars naturally present in honey, fruit juices and syrups. The term “fermentable carbohydrate” refers to free sugars, glucose polymers, oligosaccharides and highly refined starches; it excludes non-starch polysaccharides and raw starches.

Worldwide epidemiological studies have compared sugar consumption and levels of dental caries at the between-country level. Sreebny (26, 27) correlated the dental caries experience (DMFT) of 12-year-olds with data on sugar supplies of 47 countries and found a significant correlation (+0.7); 52% of the variation in the level of caries was explained by the per capita availability of sugar. In countries with a consumption level of sugar <18 kg per person per year caries experience was consistently <DMFT3. A later analysis by Woodward & Walker (28) did not find a similar association for developed countries. Sugar availability nevertheless accounted for 28% of the variation in levels of dental caries; 23 out of 26 countries with a per capita sugar availability <50g per day had a mean DMFT score for 12-year olds of <3, whereas only half of the countries with sugar availability above this level had achieved a DMFT score that was<3.

Miyazaki & Morimoto (29) reported a significant correlation (r = +0.91) between sugar availability in Japan and DMFT at age 12 years between 1957 and 1987. Populations that had experienced a reduced sugar availability during the Second World War showed a reduction in dental caries which subsequently increased again when the restriction was lifted (30-32). Although the data pre-date the widespread use of fluoride dentifrice, Weaver (33) observed a reduction in dental caries between 1943 and 1949 in areas of northern England with both high and low concentrations of fluoride in drinking-water.

Isolated communities with a traditional way of life and a consistently low intake of sugars have very low levels of dental caries. As economic levels in such societies rise, the amount of sugar and other fermentable carbohydrates in the diet increases and this is often associated with a marked increase in dental caries. Examples of this trend have been reported among the Inuit in Alaska, USA (34), as well as in populations in Ethiopia (35), Ghana (36), Nigeria (37), Sudan (38), and on the Island of Tristan da Cunha, St Helena (39).

There is evidence to show that many groups of people with high exposure to sugars have levels of caries higher than the population average. Examples include children with chronic diseases requiring long-term sugar-containing medicines (40), and confectionery workers (41-44). Likewise, experience of dental caries has seldom been reported in groups of people who have a habitually low intake of sugars, for example, children of dentists (45, 46) and children in institutions where strict dietary regimens are inflicted (47, 48). A weakness of population studies of this type is that changes in intake of sugars often occur concurrently with changes in the intake of refined starches, making it impossible to attribute changes in dental caries solely to changes in the intake of sugars. An exception to this are the data from studies of children with hereditary fructose intolerance (HFI). Studies have shown that people with HFI have a low intake of sugars and a higher than average intake of starch, but have a low dental caries experience (49).

Human intervention studies are rare, and those that have been reported are now decades old and were conducted in the pre-fluoride era before the strong link between sugars intake and dental caries levels was established. It would not be possible to repeat such studies today because of ethical constraints. The Vipeholm study, conducted in an adult mental institution in Sweden between 1945 and 1953 (50), investigated the effects of consuming sugary foods of varying stickiness and at different times throughout the day on the development of caries. It was found that sugar, even when consumed in large amounts, had little effect on caries increment if it was ingested up to a maximum of four times a day at mealtimes only. Increased frequency of consumption of sugar between meals was, however, associated with a marked increase in dental caries. It was also found that the increase in dental caries activity disappears on withdrawal of sugar-rich foods. Despite the complicated nature of the study the conclusions are valid, although they apply to the pre-fluoride era. The Turku study was a controlled dietary intervention study carried out on adults in Finland in the 1970s which showed that almost total substitution of sucrose in the diet with xylitol (a non-cariogenic sweetener) resulted in an 85% reduction in dental caries over a 2-year period (51).

Numerous cross-sectional epidemiological studies have compared sugars intake with dental caries levels in many countries of the world. Those conducted before the early 1990s have been summarized by Rugg-Gunn (21). Nine out of 21 studies that compared amount of sugars consumed with caries increment found significant associations, while the other 12 did not. Moreover, 23 out of 37 studies that investigated the association between frequency of sugars consumption and caries levels found significant relationships, while 14 failed to find any such associations.

A cross-sectional study in the United States of 2514 people aged 9-29 years conducted between 1968 and 1970 found that the dental caries experience of adolescents eating the highest amounts of sugars (upper 15% of the sample) was twice that of those eating the lowest amounts (lower 15% of the sample) (52). Granath et al. (53) showed that intake of sugars was the most important factor associated with caries in the primary dentition of preschool children in Sweden. When the effects of oral hygiene and fluoride were kept constant, the children with a low intake of sugars between meals had up to 86% less caries than those with high intakes of sugars. Other studies have found fluoride exposure and oral hygiene to be more strongly associated with caries than sugars consumption (54, 55). A recent study in the United Kingdom of a representative sample of children aged 4-18 years showed no significant relationship between caries experience and level of intake of free sugars; in the age group 15-18 years, however, the upper band of free sugars consumers were more likely to have decay than the lower band (70% compared with 52%) (20).

Many other cross-sectional studies have shown a relationship between sugars consumption and levels of caries in the primary and/or permanent dentitions in countries or areas throughout the world, including China (56), Denmark (57), Madagascar (58, 59), Saudi Arabia (60), Sweden (61, 62), Thailand (63) and the United Kingdom (64).

When investigating the association between diet and the development of dental caries it is more appropriate to use a longitudinal study design in which sugars consumption habits over time are related to changes in dental caries experience. Such studies have shown a significant relationship between caries development and sugars intake (65-67). In a comprehensive study of over 400 children in England aged 11-12 years, a small but significant relationship was found between intake of total sugars and caries increment over 2 years (r = +0.2) (67). The Michigan Study in the United States investigated the relationship between sugars intake and dental caries increment over 3 years in children initially aged 10-15 years (66). A weak relationship was found between the amount of dietary sugars consumed and dental caries experience.

In a review of longitudinal studies, Marthaler (68) analysed the relationship between dietary sugars and caries activity in countries where the availability of sugars is high and the use of fluoride is extensive. He concluded that in modern societies that make use of prevention, the relationship between sugars consumption and dental caries was still evident (68). He also concluded that many older studies had failed to show a relationship between sugars intake and development of dental caries because they were of poor methodological design, used unsuitable methods of dietary analysis or were of insufficient power (68). Correlations between individuals’ sugars consumption and dental caries increments may be weak if the range of sugars intake in the study population is small. That is to say, that if all people within a population are exposed to the disease risk factor, the relationship between the risk factor and the disease will not be apparent (69).

Frequency and amount of sugars consumption. Several studies, including the above-mentioned Vipeholm study in Sweden, have indicated that caries experience increases markedly when the frequency of sugars intake exceeds four times a day (50, 70-72). The importance of frequency versus the total amount of sugars is difficult to evaluate as the two variables are hard to distinguish from each other. Data from animal studies have indicated the importance of frequency of sugars intake in the development of dental caries (73, 74). Some human studies have also shown that the frequency of sugars intake is an important etiological factor for caries development (75). Many studies have related the frequency of intake of sugars or sugars-rich food to caries development but have not simultaneously investigated the relationship between amount of sugars consumed and dental caries, and therefore no conclusion regarding the relative importance of these two variables can be drawn from these studies (76-78).

Animal studies have also shown a relationship between amount of sugars consumed and the development of dental caries (79-82). Several longitudinal studies in humans have indicated that the amount of sugars consumed is more important than the frequency (66, 67, 83, 84), while Jamel et al. (85) found that both the frequency and the amount of sugars intake are important.

The strong correlation between both the amount and frequency of sugars consumption has been demonstrated by several investigators in different countries (67, 86-88). It is therefore highly likely that, in terms of caries development, both variables are potentially important.

Relative cariogenicity of different sugars and food consistency. Therelative acidogenicity of different monosaccharides and disaccharides has been investigated in plaque pH studies, which have shown that lactose is less acidogenic than other sugars (89). Animal studies have provided no clear evidence that, with the exception of lactose, the cariogenicity of monosaccharides and disaccharides differs. The above-mentioned study in Turku, Finland, found no difference in caries development between subjects on diets sweetened with sucrose compared with those whose diet had been sweetened with fructose (51). Invert sugar (50% fructose + 50% glucose) is less cariogenic than sucrose (90).

The adhesiveness or stickiness of a food is not necessarily related to either oral retention time or cariogenic potential. For example, consumption of sugars-containing drinks (i.e. non-sticky) is associated with increased risk of dental caries (85, 88)

Potential impact of sugars reduction on other dietary components. It is important to consider the potential impact of a reduction in free sugars on other components of the diet. Simple, cross-sectional analysis of dietary data from populations has shown an inverse relationship between the intake of free sugars and the intake of fat (91), suggesting that reducing free sugars might lead to an increase in fat intake. There is, however, a growing body of evidence from studies over time that shows that changes in intake of fat and free sugars are not inversely related, and that reductions in intake of fat are offset by increases in intakes of starch rather than free sugars (92, 93). Cole-Hamilton et al. (94) found that the intake of both fat and added sugars simultaneously decreased as fibre intake increased. Overall dietary goals that promote increased intake of wholegrain staple foods, fruits and vegetables and a reduced consumption of free sugars are thus unlikely to lead to an increased consumption of fat.

Influence of fluoride. Fluoride undoubtedly protects against dental caries (95). The inverse relationship between fluoride in drinking-water and dental caries, for instance, is well established. Fluoride reduces caries in children by between 20% and 40%, but does not eliminate dental caries altogether.

Over 800 controlled trials of the effect of fluoride administration on dental caries have been conducted; collectively these studies demonstrate that fluoride is the most effective preventive agent against caries (95). Several studies have that indicated that a relationship between sugars intake and caries still exists in the presence of adequate fluoride exposure (33, 71, 96, 97). In two major longitudinal studies in children, the observed relationships between sugars intake and development of dental caries remained even after controlling for use of fluoride and oral hygiene practices (66, 67). As mentioned earlier, following a review of available longitudinal studies, Marthaler (68) concluded that, even when preventive measures such as use of fluoride are employed, a relationship between sugars intake and caries still exists. He also stated that in industrialized countries where there is adequate exposure to fluoride, no further reduction in the prevalence and severity of dental caries will be achieved unless the intake of sugars is reduced.

A recent systematic review that investigated the importance of sugars intake in caries etiology in populations exposed to fluoride concluded that where there is adequate exposure to fluoride, sugars consumption is a moderate risk factor for caries in most people; moreover sugars consumption is likely to be a more powerful indicator for risk of caries in persons who do not have regular exposure to fluoride. Thus, restricting sugars consumption still has a role to play in the prevention of caries in situations where there is widespread use of fluoride but this role is not as strong as it is without exposure to fluoride (98). Despite the indisputable preventive role of fluoride, there is no strong evidence of a clear relationship between oral cleanliness and levels of dental caries (99-100).

Excess ingestion of fluoride during enamel formation can lead to dental fluorosis. This condition is observed particularly in countries that have high levels of fluoride in water supplies (95).

Starches and dental caries

Epidemiological studies have shown that starch is of low risk to dental caries. People who consume high-starch/low-sugars diets generally have low levels of caries, whereas people who consume low-starch/highsugars diets have high levels of caries (39, 48, 49, 51, 67, 101, 102). In Norway and Japan the intake of starch increased during the Second World War, yet the occurrence of caries was reduced.

The heterogeneous nature of starch (i.e. degree of refinement, botanical origin, raw or cooked) is of particular relevance when assessing its potential cariogenicity. Several types of experiment have shown that raw starch is of low cariogenicity (103-105). Cooked starch is about onethird to one-half as cariogenic as sucrose (106, 107). Mixtures of starch and sucrose are, however, potentially more cariogenic than starch alone (108). Plaque pH studies, using an indwelling oral electrode, have shown starch-containing foods reduce plaque pH to below 5.5, but starches are less acidogenic than sucrose. Plaque pH studies measure acid production from a substrate rather than caries development, and take no account of the protective factors found in some starch-containing foods or of the effect of foods on stimulation of salivary flow.

Glucose polymers and pre-biotics are increasingly being added to foods in industrialized countries. Evidence on the cariogenicity of these carbohydrates is sparse and comes from animal studies, plaque pH studies and studies in vitro which suggest that maltodextrins and glucose syrups are cariogenic (109-111). Plaque pH studies and experiments in vitro suggest that isomalto-oligosaccharides and gluco-oligosaccharides may be less acidogenic than sucrose (112-114). There is, however, evidence that fructo-oligosaccharides are as acidogenic as sucrose (115, 116).

Fruit and dental caries

As habitually consumed, there is little evidence to show that fruit is an important factor in the development of dental caries (67, 117-119). A number of plaque pH studies have found fruit to be acidogenic, although less so than sucrose (120-122). Animal studies have shown that when fruit is consumed in very high frequencies (e.g. 17 times a day) it may induce caries (123, 124), but less so than sucrose. In the only epidemiological study in which an association between fruit consumption and DMFT was found (125), fruit intakes were very high (e.g. 8 apples or 3 bunches of grapes per day) and the higher DMFT in fruit farm workers compared with grain farm workers arose solely from differences in the numbers of missing teeth.

Dietary factors which protect against dental caries

Some dietary components protect against dental caries. The cariostatic nature of cheese has been demonstrated in several experimental studies (126, 127), and in human observational studies (67) and intervention studies (128). Cow’s milk contains calcium, phosphorus and casein, all of which are thought to inhibit caries. Several studies have shown that the fall in plaque pH following milk consumption is negligible (129, 130). The cariostatic nature of milk has been demonstrated in animal studies (131, 132). Rugg-Gunn et al. (67) found an inverse relationship between the consumption of milk and caries increment in a study of adolescents in England. Wholegrain foods have protective properties; they require more mastication thereby stimulating increased saliva flow. Other foods that are good gustatory and/or mechanical stimulants to salivary flow include peanuts, hard cheeses and chewing gum. Both organic and inorganic phosphates (found in unrefined plant foods) have been found to be cariostatic in animal studies, but studies in humans have produced inconclusive results (133, 134). Both animal studies and experimental investigations in humans have shown that black tea extract increases plaque fluoride concentration and reduces the cariogenicity of a sugars-rich diet (135, 136).

Breastfeeding and dental caries

In line with the positive health effects of breastfeeding, epidemiological studies have associated breastfeeding with low levels of dental caries (137, 138). A few specific case studies have linked prolonged ad libitum and nocturnal breastfeeding to early childhood caries. Breastfeeding has the advantage that it does not necessitate the use of a feeder bottle, which has been associated with early childhood caries. A breastfed infant will also receive milk of a controlled composition to which additional free sugars have not been added. There are no benefits to dental health of feeding using a formula feed.

Dental erosion

Dental erosion is the progressive irreversible loss of dental hard tissue that is chemically etched away from the tooth surface by extrinsic and/or intrinsic acids by a process that does not involve bacteria. Extrinsic dietary acids include citric acid, phosphoric acid, ascorbic acid, malic acid, tartaric acid and carbonic acid found, for example, in fruits and fruit juices, soft drinks and vinegar. Erosion in severe cases leads to total tooth destruction (139). Human observational studies have shown an association between dental erosion and the consumption of a number of acidic foods and drinks, including frequent consumption of fruit juice, soft drinks (including sports drinks), pickles (containing vinegar), citrus fruits and berries (140-144). Age-related increases in dental erosion have been shown to be greater in those with the highest intake of soft drinks (20). Experimental clinical studies have shown that consumption of, or rinsing with, acidic beverages significantly lowers the pH of the oral fluids (121). Enamelis softened within one hour of exposure to cola but this may be reversed by exposure to milk or cheese (145, 146). Animal studies have shown that fruit and soft drinks cause erosion (124, 147), although fruit juices are significantly more destructive than whole fruits (148, 149).

5.6.4 Strength of evidence

The strength of the evidence linking dietary sugars to the risk of dental caries is in the multiplicity of the studies rather than the power of any individual study. Strong evidence is provided by the intervention studies (50, 51) but the weakness of these studies is that they were conducted in the pre-fluoride era. More recent studies also show an association between sugars intake and dental caries albeit not as strong as in the prefluoride era. However, in many developing countries people are not yet exposed to the benefits of fluoride.

Cross-sectional studies should be interpreted with caution because dental caries develop over time and therefore simultaneous measurements of disease levels and diet may not give a true reflection of the role of diet in the development of the disease. It is the diet several years earlier that may be responsible for current caries levels. Longitudinal studies (66, 67) that have monitored a change in caries experience and related this to dietary factors provide stronger evidence. Such studies have been conducted on populations with an overall high sugars intake but a low interindividual variation; this may account for the weak associations that have been reported.

The studies that overcome the problem of low variation in consumption of sugars are studies that have monitored dental caries following a marked change in diet, for example, those conducted on populations during the Second World War and studies of populations before and after the introduction of sugars into the diet. Such studies have shown clearly that changes in dental caries mirror changes in economic growth and increased consumption of free sugars. Sometimes changes in sugars consumption were accompanied by an increase in other refined carbohydrates. There are, however, examples where sugars consumption decreased and starch consumption increased yet levels of dental caries declined.

Strong evidence of the relationship between sugar availability and dental caries levels comes from worldwide ecological studies (26, 28). The limitations of these studies are that they use data on sugar availability and not actual intake, they do not measure frequency of sugars intake, and they assume that level of intake is equal throughout the population. Also, the values are for sucrose, yet many countries obtain a considerable amount of their total sugars from other sugars. These studies have only considered DMFT of 12-year-olds, not always from a representative sample of the population.

Caution needs to be applied when extrapolating the results of animal studies to humans because of differences in tooth morphology, plaque bacterial ecology, salivary flow and composition, and the form in which the diet is provided (usually powdered form in animal experiments). Nonetheless, animal studies have enabled the effect on caries of defined types, frequencies and amounts of carbohydrates to be studied.

Plaque pH studies measure plaque acid production, but the acidogenicity of a foodstuff cannot be taken as a direct measurement of its cariogenic potential. Plaque pH studies take no account of protective factors in foods, salivary flow and the effects of other components of the diet. Many of the plaque pH studies that show falls in pH below the critical value of 5.5 with fruits and cooked starchy foods have been conducted using the indwelling electrode technique. This electrode is recognized as being hypersensitive and non-discriminating, tending to give an “all or nothing” response to all carbohydrates (150).

Research has consistently shown that when annual sugar consumption exceeds 15 kg per person per year (or 40 g per person per day) dental caries increase with increasing sugar intake. When sugar consumption is below 10 kg per person per year (around 27 g per person per day), levels of dental caries are very low (26, 28, 29, 51, 151-158). Exposure to fluoride (i.e. where the proportion of fluoride in drinking-water is 0.7-1.0 ppm, or where over 90% of toothpastes available contain fluoride) increases the safe level of sugars consumption.

Tables 14-17 summarize the evidence relating to diet, nutrition and dental diseases.

Table 14. Summary of strength of evidence linking diet to dental caries

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Fluoride exposure (local and systematic)

Starch intake (cooked and raw starch foods, such as rice, potatoes and bread; excludes cakes, biscuits and snacks with added sugars)

Amount of free sugars
Frequency of free sugars

Probable

Hard cheese
Sugars-free chewing gum

Whole fresh fruit


Possible

Xylitol
Milk
Dietary fibre


Undernutrition

Insufficient

Whole fresh fruit


Dried fruits

Table 15. Summary of strength of evidence linking diet to dental erosion

Evidence

Decreased risk

No relationship

Increased risk

Convincing




Probable



Soft drinks and fruit juices

Possible

Hard cheese
Fluoride



Insufficient



Whole fresh fruit

Table 16. Summary of strength of evidence linking diet to enamel developmental defects

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Vitamin D


Excess fluoride

Probable



Hypocalcaemia

Table 17. Summary of strength of evidence linking diet to periodontal disease

Evidence

Decreased risk

No relationship

Increased risk

Convincing

Good oral hygiene


Deficiency of vitamin C

Probable




Possible



Undernutrition

Insufficient

Antioxidant nutrients

Vitamin E supplementation

Sucrose

5.6.5 Disease-specific recommendations

It is important to set a recommended maximum level for the consumption of free sugars; a low free sugars consumption by a population will translate into a low level of dental caries. Population goals enable the oral health risks of populations to be assessed and health promotion goals monitored.

The best available evidence indicates that the level of dental caries is low in countries where the consumption of free sugars is below 15-20 kg per person per year. This is equivalent to a daily intake of 40-55 g per person and the values equate to 6-10% of energy intake. It is of particular importance that countries which currently have low consumption of free sugars (<15-20 kg per person per year) do not increase consumption levels. For countries with high consumption levels it is recommended that national health authorities and decision-makers formulate countryspecific and community-specific goals for reduction in the amount of free sugars, aiming towards the recommended maximum of no more than 10% of energy intake.

In addition to population targets given in terms of the amount of free sugars, targets for the frequency of free sugars consumption are also important. The frequency of consumption of foods and/or drinks containing free sugars should be limited to a maximum of four times per day.

Many countries that are currently undergoing nutrition transition do not have adequate exposure to fluoride. There should be promotion of adequate fluoride exposure via appropriate vehicles, for example, affordable toothpaste, water, salt and milk. It is the responsibility of national health authorities to ensure implementation of feasible fluoride programmes for their country. Research into the outcome of alternative community fluoride programmes should be encouraged.

In order to minimize the occurrence of dental erosion, the amount and frequency of intake of soft drinks and juices should be limited. Elimination of undernutrition prevents enamel hypoplasia and the other potential effects of undernutrition on oral health (e.g. salivary gland atrophy, periodontal disease, oral infectious diseases).

References

1. Sheiham A. Dietary effects on dental diseases. Public Health Nutrition, 2001, 4:569-591.

2. KellyMet al. Adult dental health survey: oral health in the United Kingdom 1998. London, The Stationery Office, 2000.

3. Chen M et al. Comparing oral health systems: a second international collaborative study. Geneva, World Health Organization, 1997.

4. Steele JG et al. National Diet and Nutrition Survey: people aged 65 years and over. Vol. 2. Report of the oral health survey. London, The Stationery Office, 1998.

5. Joshipura KJ, Willett WC, Douglass CW. The impact of edentulousness on food and nutrient intake. Journal of the American Dental Association, 1996, 127:459-467.

6. Moynihan PJ et al. Intake of non-starch polysaccharide (dietary fibre) in edentulous and dentate persons: an observational study. British Dental Journal, 1994, 177:243-247.

7. Global Oral Health Data Bank. Geneva, World Health Organization, 2001.

8. Fejerskov O, Baelum V. Changes in prevalence and incidence of the major oral diseases. In: Guggenheim B, Shapiro H, eds. Oral biology at the turn of the century. Truth, misconcepts and challenges. Zurich, Karger, 1998:1-9.

9. Pitts NB, Evans DJ. The dental caries experience of 5-year-old children in the United Kingdom. Surveys coordinated by the British Association for the Study of Community Dentistry in 1995/96. Community Dental Health, 1997, 14:47-52.

10. Poulsen S. Dental caries in Danish children and adolescents 1988-94. Community Dentistry and Oral Epidemiology, 1996, 24:282-285.

11. Frencken JE, Kalsbeek H, Verrips GH. Has the decline in dental caries been halted? Changes in caries prevalence amongst 6- and 12-year-old children in Friesland, 1973-1988. International Dental Journal, 1990, 40:225-230.

12. Marthaler TM, O’Mullane DM, Vrbic V. The prevalence of dental caries in Europe 1990-1995. ORCA Saturday Afternoon Symposium 1995. Caries Research, 1996, 30:237-255.

13. Leous P, Petersen PE. Oral health status and oral health behaviour of children in Belarus. Copenhagen, WHO Regional Office for Europe, 2000.

14. Szöke J, Petersen PE. Evidence of dental caries decline among children in an East European country (Hungary). Community Dentistry and Oral Epidemiology, 2000, 28:155-160.

15. Petersen PE, Rusu M. Oral health status of children in Romania, 2000. Copenhagen, WHO Regional Office for Europe, 2001.

16. Kuzmina EM. Oral health status of children and adults in the Russian Federation. Moscow, Ministry of Health and WHO Collaborating Centre for Preventive Oral Care, 1999.

17. O’Mullane DM, ed. Oral health systems in European Union Countries - Biomed project. Cork, University of Cork, 1996.

18. Wang HY et al. The second national survey of oral health status of children and adults in China. International Dental Journal, 2002, 52:283-290.

19. Petersen PE, Kaka M. Oral health status of children and adults in the Republic of Niger, Africa. International Dental Journal, 1999, 49:159-164.

20. Walker A et al. National Diet and Nutrition Survey: young people aged 4 to 18 years. Vol. 2. Report of the oral health survey. London, The Stationery Office, 2000.

21. Rugg-Gunn AJ. Nutrition and dental health. Oxford, Oxford Medical Publications, 1993.

22. Enwonwu CO. Interface of malnutrition and periodontal diseases. American Journal of Clinical Nutrition, 1995, 61(Suppl.):430-436.

23. Enwonwu CO, Phillips RS, Falkler WA. Nutrition and oral infectious diseases: state of the science. Compendium of Continuing Education in Dentistry, 2002, 23:431-436.

24. Arens U, ed. Oral health - diet and other factors: the Report of the British Nutrition Foundation’s Task Force. Amsterdam, Elsevier Science Publishing Company, 1999.

25. Arends J, ten Bosch JJ. In vivo de- and remineralisation of dental enamel. In: Leach SA, ed. Factors relating to demineralisation and remineralisation of the teeth. Oxford, IRL Press, 1986:1-11.

26. Sreebny LM. Sugar availability, sugar consumption and dental caries. Community Dentistry and Oral Epidemiology, 1982, 10:1-7.

27. Sreebny LM. Sugar and human dental caries. World Review of Nutrition and Dietetics, 1982, 40:19-65.

28. Woodward M, Walker AR. Sugar consumption and dental caries: evidence from 90 countries. British Dental Journal, 1994, 176:297-302.

29. Miyazaki H, Morimoto M. Changes in caries prevalence in Japan. European Journal of Oral Sciences, 1996, 104:452-458.

30. Marthaler TM. Epidemiological and clinical dental findings in relation to intake of carbohydrates. Caries Research, 1967, 1:222-238.

31. Takeuchi M. Epidemiological study on dental caries in Japanese children before, during and after World War II. International Dental Journal, 1961, 11:443-457.

32. Sognnaes RF. Analysis of wartime reduction of dental caries in European children. American Journal of Diseases of Childhood, 1948, 75:792-821.

33. Weaver R. Fluorine and wartime diet. British Dental Journal, 1950, 88:231-239.

34. Bang G, Kristoffersen T. Dental caries and diet in an Alaskan Eskimo population. Scandinavian Journal of Dental Research, 1972, 80:440-444.

35. Olsson B. Dental health situation in privileged children in Addis Ababa, Ethiopia. Community Dentistry and Oral Epidemiology, 1979, 7:37-41.

36. MacGregor AB. Increasing caries incidence and changing diet in Ghana. International Dental Journal, 1963, 13:516-522.

37. Sheiham A. The prevalence of dental caries in Nigerian populations. British Dental Journal, 1967, 123:144-148.

38. Emslie RD. A dental health survey in the Republic of the Sudan. British Dental Journal, 1966, 120:167-178.

39. Fisher FJ. A field study of dental caries, periodontal disease and enamel defects in Tristan da Cunha. British Dental Journal, 1968, 125:447-453.

40. Roberts IF, Roberts GJ. Relation between medicines sweetened with sucrose and dental disease. British Medical Journal, 1979, 2:14-16.

41. Masalin K, Murtamaa H, Meurman JH. Oral health of workers in the modern Finnish confectionery industry. Community Dentistry and Oral Epidemiology, 1990, 18:126-130.

42. Petersen PE. Dental health among workers at a Danish chocolate factory. Community Dentistry and Oral Epidemiology, 1983, 11:337-341.

43. Katayama T et al. Incidence and distribution of Strep mutans in plaque from confectionery workers. Journal of Dental Research, 1979, 58:2251.

44. Anaise JZ. Prevalence of dental caries among workers in the sweets industry in Israel. Community Dentistry and Oral Epidemiology, 1978, 6:286-289.

45. Bradford EW, Crabb HSM. Carbohydrates and the incidence of caries in the deciduous dentition. In: Hardwick JL, Dustin A, Held HR, eds. Advances in fluoride research and dental caries prevention. London, Pergamon, 1963:319-323.

46. Bradford EW, Crabb HSM. Carbohydrate restriction and caries incidence: a pilot study. British Dental Journal, 1961, 111:273-279.

47. Silverstein SJ et al. Dental caries prevalence in children with a diet free of refined sugar. American Journal of Public Health, 1983, 73:1196-1199.

48. Harris R. Biology of the children of Hopewood House, Bowral, Australia. IV. Observations on dental caries experience extending over 5 years (1957-61). Journal of Dental Research, 1963, 42:1387-1399.

49. Newbrun E et al. Comparison of dietary habits and dental health of subjects with hereditary fructose intolerance and control subjects. Journal of the American Dental Association, 1980, 101:619-626.

50. Gustafsson BE et al. The Vipeholm dental caries study. The effect of different levels of carbohydrate intake on caries activity in 436 individuals observed for 5 years. Acta Odontologica Scandinavica, 1954, 11:232-364.

51. Scheinin A, Makinen KK, Ylitalo K. Turku sugar studies. V. Final report on the effect of sucrose, fructose and xylitol diets on the caries incidence in man. Acta Odontologica Scandinavica, 1976, 34:179-198.

52. Garn SM et al. Relationships between sugar-foods and DMFT in 1968-1970. Ecology of Food and Nutrition, 1980, 9:135-138.

53. Granath LE et al. Variation in caries prevalence related to combinations of dietary and oral hygiene habits and chewing fluoride tablets in 4-year-old children. Caries Research, 1978, 12:83-92.

54. Schröder U, Granath LE. Dietary habits and oral hygiene as predictors of caries in 3-year-old children. Community Dentistry and Oral Epidemiology, 1983, 11:308-311.

55. Hausen H, HeinonenOP, Paunio I. Modification of occurrence of caries in children by toothbrushing and sugar exposure in fluoridated and non-fluoridated area. Community Dentistry and Oral Epidemiology, 1981, 9:103-107.

56. Peng B et al. Oral health status and oral health behaviour of 12-year-old urban schoolchildren in the People’s Republic of China. Community Dental Health, 1997, 14:238-244.

57. Petersen PE. Oral health behaviour of 6-year-old Danish children. Acta Odontologica Scandinavica, 1992, 50:57-64.

58. Petersen PE, Razanamihaja N. Oral health status of children and adults in Madagascar. International Dental Journal, 1996, 46:41-47.

59. Petersen PE et al. Dental caries and dental health behaviour situation among 6- and 12-year-old urban schoolchildren in Madagascar. African Dental Journal, 1991, 5:1-7.

60. Al-Tamimi S, Petersen PE. Oral health situation of schoolchildren, mothers and schoolteachers in Saudi Arabia. International Dental Journal, 1998, 48:180-186.

61. Persson LA et al. Infant feeding and dental caries - a longitudinal study of Swedish children. Swedish Dental Journal, 1985, 9:201-206.

62. Stecksen-Blicks C, Holm AK. Dental caries, tooth trauma, malocclusion, fluoride usage, toothbrushing and dietary habits in 4-year-old Swedish children: changes between 1967 and 1992. International Journal of Paediatric Dentistry, 1995, 5:143-148.

63. Petersen PE et al. Oral health status and oral health behaviour of urban and rural schoolchildren in Southern Thailand. International Dental Journal, 2001, 51:95-102.

64. Hinds K, Gregory J. National Diet and Nutrition Survey: children aged 1.5-4.5 years. Vol. 2. Report of the dental survey. London, Her Majesty’s Stationery Office, 1995.

65. Stecksen-Blicks C, Gustafsson L. Impact of oral hygiene and use of fluorides on caries increment in children during one year. Community Dentistry and Oral Epidemiology, 1986, 14:185-189.

66. Burt BA et al. The effects of sugars intake and frequency of ingestion on dental caries increment in a three-year longitudinal study. Journal of Dental Research, 1988, 67:1422-1429.

67. Rugg-Gunn AJ et al. Relationship between dietary habits and caries increment assessed over two years in 405 English adolescent schoolchildren. Archives of Oral Biology, 1984, 29:983-992.

68. Marthaler T. Changes in the prevalence of dental caries: how much can be attributed to changes in diet? Caries Research, 1990, 24(Suppl.):3-15.

69. Rose G. The strategy of preventive medicine. Oxford, Oxford University Press, 1993.

70. Holbrook WP et al. Longitudinal study of caries, cariogenic bacteria and diet in children just before and after starting school. European Journal of Oral Sciences, 1995, 103:42-45.

71. Holt RD. Foods and drinks at four daily time intervals in a group of young children. British Dental Journal, 1991, 170:137-143.

72. Holbrook WP et al. Caries prevalence, Streptococcus mutans and sugar intake among 4-year-old urban children in Iceland. Community Dentistry and Oral Epidemiology, 1989, 17:292-295.

73. Firestone AR, Schmid R, Muhlemann HR. Effect of the length and number of intervals between meals on caries in rats. Caries Research, 1984, 18:128-133.

74. König KG, Schmid P, Schmid R. An apparatus for frequency-controlled feeding of small rodents and its use in dental caries experiments. Archives of Oral Biology, 1968, 13:13-26.

75. Karlsbeek H, Verrips GH. Consumption of sweet snacks and caries experience of primary school children. Caries Research, 1994, 28:477-483.

76. Sundin B, Granath L, Birkhed D. Variation of posterior approximal caries incidence with consumption of sweets with regard to other caries-related factors in 15-18-year-olds. Community Dentistry and Oral Epidemiology, 1992, 20:76-80.

77. Bjarnason S, Finnbogason SY, Noren JG. Sugar consumption and caries experience in 12- and 13-year-old Icelandic children. Acta Odontologica Scandinavica, 1989, 47:315-321.

78. Hankin JH, Chung CS, Kau MC. Genetic and epidemiological studies of oral characteristics in Hawaii’s school children: dietary patterns and caries prevalence. Journal of Dental Research, 1973, 52:1079-1086.

79. Hefti A, Schmid R. Effect on caries incidence in rats of increasing dietary sucrose levels. Caries Research, 1979, 13:298-300.

80. Mikx FH et al. Effect of Actinomyces viscosus on the establishment and symbiosis of Streptococcus mutans and Streptococcus sanguis on SPF rats on different sucrose diets. Caries Research, 1975, 9:1-20.

81. Guggenheim B et al. The cariogenicity of different dietary carbohydrates tested on rats in relative gnotobiosis with a Streptococcus producing extracellular polysaccharide. Helvetica Odontologica Acta, 1966, 10:101-113.

82. Gustafsson G et al. Experimental dental caries in golden hamsters. Odontolgisk Tidskrift, 1953, 61:386-399.

83. Szpunar SM, Eklund SA, Burt BA. Sugar consumption and caries risk in schoolchildren with low caries experience. Community Dentistry and Oral Epidemiology, 1995, 23:142-146.

84. Kleemola-Kujala E, Rasanen L. Relationship of oral hygiene and sugar consumption to risk of caries in children. Community Dentistry and Oral Epidemiology, 1982, 10:224-233.

85. Jamel HA et al. Sweet preference, consumption of sweet tea and dental caries: studies in urban and rural Iraqi populations. International Dental Journal, 1997, 47:213-217.

86. Rodrigues C, Watt RG, Sheiham A. The effects of dietary guidelines on sugar intake and dental caries in 3-year-olds attending nurseries. Health Promotion International, 1999, 14:329-335.

87. Cleaton-Jones P et al. Dental caries and sucrose intake in five South African pre-school groups. Community Dentistry and Oral Epidemiology, 1984, 12:381-385.

88. Ismail AI, Burt BA, Eklund SA. The cariogenicity of soft drinks in the United States. Journal of the American Dental Association, 1984, 109:241-245.

89. Jenkins GN, Ferguson DB. Milk and dental caries. British Dental Journal, 1966, 120:472-477.

90. Frostell G et al. Effect of partial substitution of invert sugar for sucrose in combination with Duraphat treatment on caries development in pre-school children: the Malmo Study. Caries Research, 1991, 25:304-310.

91. Gibney M et al. Consumption of sugars. American Journal of Clinical Nutrition, 1995, 62(Suppl.1):178-194 (erratum appears in American Journal of Clinical Nutrition, 1997, 65:1572-1574).

92. Alexy U, Sichert-Hellert W, Kersting M. Fifteen-year time trends in energy and macronutrient intake in German children and adolescents: results of the DONALD study. British Journal of Nutrition, 2002, 87:595-604.

93. Fletcher ES, Adamson AJ, Rugg-Gunn AJ. Twenty years of change in the dietary intake and BMI of Northumbrian adolescents. Proceedings of the Nutrition Society, 2001, 60:171A-237A.

94. Cole-Hamilton I et al. A study among dietitians and adult members of their households of the practicalities and implications of following proposed dietary guidelines for the UK. British Dietetic Association Community Nutrition Group Nutrition Guidelines Project. Human Nutrition - Applied Nutrition, 1986, 40:365-389.

95. Fluorides and oral health. Report of a WHO Expert Committee on Oral Health Status and Fluoride Use. Geneva, World Health Organization, 1994 (WHO Technical Report Series, No. 846).

96. Künzel W, Fischer T. Rise and fall of caries prevalence in German towns with different F concentrations in drinking water. Caries Research, 1997, 31:166-173.

97. Beighton D, Adamson A, Rugg-Gunn A. Associations between dietary intake, dental caries experience and salivary bacterial levels in 12-year-old English schoolchildren. Archives of Oral Biology, 1996, 41:271-280.

98. Burt BA, Pai S. Sugar consumption and caries risk: a systematic review. Journal of Dental Education, 2001, 65: 1017-1023.

99. Sutcliffe P. Oral cleanliness and dental caries. In: Murray JJ, ed. The prevention of oral disease. Oxford, Oxford University Press, 1996:68-77.

100. Bellini HT, Arneberg P, von der Fehr FR. Oral hygiene and caries. A review. Acta Odontologica Scandinavica, 1981, 39:257-265.

101. Russell AL et al. Dental surveys in relation to nutrition. Public Health Reports, 1960, 75:717-723.

102. Afonsky D. Some observations on dental caries in central China. Journal of Dental Research, 1951, 30:53-61.

103. Brudevold F et al. Intraoral demineralisation and maltose clearance from wheat starch. Caries Research, 1985, 19:136-144.

104. Grenby TH. Effects of starch and sugar diets on dental caries. A comparison of two different methods of assessing caries in rodents. British Dental Journal, 1970, 128:575-578.

105. Grenby TH. The effects of some carbohydrates on experimental dental caries in the rat. Archives of Oral Biology, 1963, 8:27-30.

106. Bowen WH et al. A method to assess cariogenic potential of foodstuffs. Journal of the American Dental Association, 1980, 100:677-681.

107. Koulourides T et al. Cariogenicity of nine sugars tested with an intraoral device in man. Caries Research, 1976, 10:427-441.

108. Firestone AR, Schmid R, Muhlemann HR. Cariogenic effects of cooked wheat starch alone or with sucrose and frequency-controlled feeding in rats. Archives of Oral Biology, 1982, 27:759-763.

109. Grenby TH, Mistry M. Properties of maltodextrins and glucose syrups in experiments in vitro and in the diets of laboratory animals, relating to dental health. British Journal of Nutrition, 2000, 84:565-574.

110. Moynihan PJ et al. Effect of glucose polymers in water, milk and a milk substitute on plaque pH in vitro. International Journal of Paediatric Dentistry, 1996, 6:19-24.

111. Grenby TH. The effect of glucose syrup on dental caries in the rat. Caries Research, 1972, 6:52-69.

112. Koga T et al. Effects of panose on glucan synthesis and cellular adherence by Streptococcus mutans. Microbiology and Immunology, 1988, 32:25-31.

113. Ooshima T et al. The caries inhibitory effect of GOS-sugar in vitro and rat experiments. Microbiology and Immunology, 1988, 32:1093-1105.

114. Roberts KR, Hayes ML. Effects of 2-deoxy-D-glucose and other sugar analogues on acid production from sugars by human dental plaque bacteria. Scandinavian Journal of Dental Research, 1980, 88:201-209.

115. Moynihan PJ et al. Acidogenic potential of fructo-oligosaccharides: incubation studies and plaque pH studies. Caries Research, 2001, 35:265-316.

116. Hartemink R et al. Degradation and fermentation of fructo-oligosaccharides by oral streptococci. Journal of Applied Bacteriology, 1995, 79:551-557.

117. Clancy KL et al. Snack food intake of adolescents and caries development. Journal of Dental Research, 1977, 56:568-573.

118. Martinsson T. Socio-economic investigation of school children with high and low caries frequency. 3. A dietary study based on information given by the children. Odontologisk Revy, 1972, 23:93-113.

119. Savara BS, Suher T. Dental caries in children one to six years of age as related to socio-economic level, food habits and toothbrushing. Journal of Dental Research, 1955, 34:870-875.

120. Hussein I, Pollard MA, Curzon ME. A comparison of the effects of some extrinsic and intrinsic sugars on dental plaque pH. International Journal of Paediatric Dentistry, 1996, 6:81-86.

121. Imfeld TN. Identification of low caries risk dietary components. Zurich, Karger, 1983 (Monographs in Oral Science, Vol. 11).

122. Ludwig TG, Bibby BG. Acid production from different carbohydrate foods in plaque and saliva. Journal of Dental Research, 1957, 36:56-60.

123. Imfeld T et al. Cariogenicity of Milchschnitte (Ferrero-GmbH) and apple in program-fed rats. Caries Research, 1991, 25:352-358.

124. Stephan RM. Effects of different types of human foods on dental health in experimental animals. Journal of Dental Research, 1966, 45:1551-1561.

125. Grobler SR, Blignaut JB. The effect of a high consumption of apples or grapes on dental caries and periodontal disease in humans. Clinical Preventive Dentistry, 1989, 11:8-12.

126. Moynihan PJ, Ferrier S, Jenkins GN. The cariostatic potential of cheese: cooked cheese-containing meals increase plaque calcium concentration. British Dental Journal, 1999, 187:664-667.

127. Rugg-Gunn AJ et al. The effect of different meal patterns upon plaque pH in human subjects. British Dental Journal, 1975, 139:351-356.

128. Gedalia I et al. Dental caries protection with hard cheese consumption. American Journal of Dentistry, 1994, 7:331-332.

129. Rugg-Gunn AJ, Roberts GJ, Wright WG. Effect of human milk on plaque pH in situ and enamel dissolution in vitro compared with bovine milk, lactose and sucrose. Caries Research, 1985, 19:327-334.

130. Frostell G. Effects of milk, fruit juices and sweetened beverages on the pH of dental plaques. Acta Odontologica Scandinavica, 1970, 28:609-622.

131. Bowen WH et al. Influence of milk, lactose-reduced milk, and lactose on caries in desalivated rats. Caries Research, 1991, 25:283-286.

132. Reynolds EC, Johnson IH. Effect of milk on caries incidence and bacterial composition of dental plaque in the rat. Archives of Oral Biology, 1981, 26:445-451.

133. Nizel AE, Harris RS. The effects of phosphates on experimental dental caries: a literature review. Journal of Dental Research, 43(Suppl. 6):1123-1136.

134. Craig GC. The use of a calcium sucrose phosphates-calcium orthophosphate complex as a cariostatic agent. British Dental Journal, 1975, 138:25-28.

135. Lingstrom P, Wu CD, Wefel JS. In vivo effects of black tea infusion on dental plaque. Journal of Dental Research, 2000, 79:594.

136. Linke HAB et al. Effect of black tea on caries formation in hamsters. Journal of Dental Research, 2000, 79:594.

137. Silver DH. A longitudinal study of infant feeding practice, diet and caries, related to social class in children aged 3 and 8-10 years. British Dental Journal, 1987, 163:296-300.

138. Holt RD, Joels D, Winter GB. Caries in pre-school children. The Camden study. British Dental Journal, 1982, 153:107-109.

139. Meurman JH, ten Cate JM. Pathogenesis and modifying factors of dental erosion. European Journal of Oral Sciences, 1996, 104:199-206.

140. Millward A et al. The distribution and severity of tooth wear and the relationship between erosion and dietary constituents in a group of children. International Journal of Paediatric Dentistry, 1994, 4:151-157.

141. Järvinen VK, Rytomaa II, Heinonen OP. Risk factors in dental erosion. Journal of Dental Research, 1991, 70:942-947.

142. Linkosalo E, Markkanen H. Dental erosions in relation to lactovegetarian diet. Scandinavian Journal of Dental Research, 1985, 93:436-441.

143. Stabholz A et al. Tooth enamel dissolution from erosion or etching and subsequent caries development. Journal of Pedodontics, 1983, 7:100-108.

144. Thomas AE. Further observations on the influence of citrus fruit juices on human teeth. New York State Dental Journal, 1957, 23:424-430.

145. Gedalia I et al. Enamel softening with Coca-Cola and rehardening with milk or saliva. American Journal of Dentistry, 1991, 4:120-122.

146. Gedalia I et al. Tooth enamel softening with a cola type drink and rehardening with hard cheese or stimulated saliva in situ. Journal of Oral Rehabilitation, 1991, 18:501-506.

147. Holloway PJ, Mellanby M, Stewart RJC. Fruit drinks and tooth erosion. British Dental Journal, 1958, 104:305-309.

148. Grenby TH, Mistry M, Desai T. Potential dental effects of infants fruit drinks studied in vitro. British Journal of Nutrition, 1990, 64:273-283.

149. Miller CD. Erosion of molar teeth by acid beverages. Journal of Nutrition, 1950, 41:63-71.

150. Edgar WM. Prediction of the cariogenicity of various foods. International Dental Journal, 1985, 35:190-194.

151. Ruxton CH, Garceau FJ, Cottrell RC. Guidelines for sugar consumption in Europe. Is a quantitative approach justified? European Journal of Clinical Nutrition, 1999, 53:503-513.

152. Rodrigues CS. Dietary guidelines, sugar intake and caries increment. A study in Brazilian nursery school children [Thesis]. London, University of London, 1997.

153. Sheiham A. Sugars and dental decay. Lancet, 1983, 1:282-284.

154. Buttner. Zuckeraufnahme und Karies. [Sugar intake and caries.] In: Cremer HD, ed. Grundfragen der Ernährungswissenschaft. [Basics of nutrition.] Freiburg im Breisgau, Rombach, 1971:175-191. [Cited by Marthaler TM. In: Guggenheim B, ed. Health and sugar substitutes. Proceedings of the European Research Group for Oral Biology Conference on Sugar Substitutes, Geneva, Switzerland, 30 October - 1 November, 1978. Basel, Karger, 1979:27-34.]

155. Takeuchi M. On the epidemiological principles in dental caries attack. Bulletin of the Tokyo Dental College, 1962, 3:96-111.

156. Takahashi K. Statistical study on caries incidence in the first molar in relation to the amount of sugar consumption. Bulletin of the Tokyo Dental College, 1961, 2:44-57.

157. Schulerud A. Dental caries and nutrition during wartime in Norway. Oslo, Fabritius og Snners Trykkeri, 1950.

158. Knowles EM. The effects of enemy occupation on the dental condition of children in the Channel Islands. Monthly Bulletin of the Ministry of Health and the Public Health Laboratory Service, 1946:161-172.

5.7 Recommendations for preventing osteoporosis

5.7.1 Background

Osteoporosis is a disease affecting many millions of people around the world. It is characterized by low bone mass and micro-architectural deterioration of bone tissue, leading to bone fragility and a consequent increase in risk of fracture (1, 2).

The incidence of vertebral and hip fractures increases exponentially with advancing age (while that of wrist fractures levels off after the age of 60 years) (3). Osteoporosis fractures are a major cause of morbidity and disability in older people and, in the case of hip fractures, can lead to premature death. Such fractures impose a considerable economic burden on health services worldwide (4).

5.7.2 Trends

Worldwide variation in the incidence and prevalence of osteoporosis is difficult to determine because of problems with definition and diagnosis. The most useful way of comparing osteoporosis prevalence between populations is to use fracture rates in older people. However, because osteoporosis is usually not life-threatening, quantitative data from developing countries are scarce. Despite this, the current consensus is that approximately 1.66 million hip fractures occur each year worldwide, that the incidence is set to increase four-fold by 2050 because of the increasing numbers of older people, and that the age-adjusted incidence rates are many times higher in affluent developed countries than in sub-Saharan Africa and Asia (5-7).

In countries with a high fracture incidence, rates are greater among women (by three- to four-fold). Thus, although widely regarded in these countries as a disease that affects women, 20% of symptomatic spine fractures and 30% of hip fractures occur in men (8). In countries where fracture rates are low, men and women are more equally affected (7, 9-11). The incidence of vertebral and hip fractures in both sexes increases exponentially with age. Hip-fracture rates are highest in Caucasian women living in temperate climates, are somewhat lower in women from Mediterranean and Asian countries, and are lowest in women in Africa (9, 10, 12). Countries in economic transition, such as Hong Kong Special Administrative Region (SAR) of China, have seen significant increases in age-adjusted fracture rates in recent decades, while the rates in industrialized countries appear to have reached a plateau (13, 14).

5.7.3 Diet, physical activity and osteoporosis

Diet appears to have only a moderate relationship to osteoporosis, but calcium and vitamin D are both important, at least in older populations.

Calcium is one of the main bone-forming minerals and an appropriate supply to bone is essential at all stages of life. In estimating calcium requirements, most committees have used either a factorial approach, where calculations of skeletal accretion and turnover rates are combined with typical values for calcium absorption and excretion, or a variety of methods based on experimentally-derived balance data (15, 16). There has been considerable debate about whether current recommended intakes are adequate to maximize peak bone mass and to minimize bone loss and fracture risk in later life, and the controversies continue (2, 12, 15-17).

Vitamin D is obtained either from the diet or by synthesis in the skin under the action of sunlight. Overt vitamin D deficiency causes rickets in children and osteomalacia in adults, conditions where the ratio of mineral to osteoid inbone is reduced. Poor vitamin D status in the elderly, at plasma levels of 25-hydroxyvitamin D above those associated with osteomalacia, has been linked to age-related bone loss and osteoporotic fracture, where the ratio of mineral to osteoid remains normal.

Many other nutrients and dietary factors may be important for long-term bone health and the prevention of osteoporosis. Among the essential nutrients, plausible hypotheses for involvement with skeletal health, based on biochemical and metabolic evidence, can be made for zinc, copper, manganese, boron, vitamin A, vitamin C, vitamin K, the B vitamins, potassium and sodium (15). Evidence from physiological and clinical studies is largely lacking, and the data are often difficult to interpret because of potential size-confounding or bone remodelling transient effects.

5.7.4 Strength of evidence

For older people, there is convincing evidence for a reduction in risk for osteoporosis with sufficient intake of vitamin D and calcium together, and for an increase in risk with high consumption of alcohol and low body weight. Evidence suggesting a probable relationship, again in older people, supports a role for calcium and vitamin D separately, but none with fluoride.

Strength of evidence with fracture as outcome

There is considerable geographical variation in the incidence of fractures, and cultural variation in the intakes of nutrients associated with osteoporosis and the clinical outcome of fracture. In Table 18, where the evidence on risk factors for osteoporosis is summarized, it is important to note that the level of certainty is given in relation to fracture as the outcome, rather than apparent bone mineral density as measured by dual-energy X-ray absorptiometry or other indirect methods. Since the Consultation addressed health in terms of burden of disease, fractures were considered the more relevant end-point.

Table 18. Summary of strength of evidence linking diet to osteoporotic fractures

Evidence

Decreased risk

No relationship

Increased risk

Convincing
Older peoplea

Vitamin D
Calcium
Physical activity


High alcohol intake
Low body weight

Probable
Older peoplea


Fluorideb


Possible

Fruits and vegetablesc
Moderate alcohol intake
Soy products

Phosphorus

High sodium intake
Low protein intake (in older people)
High protein intake

a In populations with high fracture incidence only. Applies to men and women older than 50-60 years, with a low calcium intake and/or poor vitamin D status.

b At levels used to fluoridate water supplies. High fluoride intake causes fluorosis and may also alter bone matrix.

c Several components of fruits and vegetables are associated with a decreased risk at levels of intake within the normal range of consumption (e.g. alkalinity, vitamin K, phytoestrogens, potassium, magnesium, boron). Vitamin C deficiency (scurvy) results in osteopenic bone disease.

5.7.5 Disease-specific recommendations

In countries with a high fracture incidence, a minimum of 400-500 mg of calcium intake is required to prevent osteoporosis. When consumption of dairy products is limited, other sources of calcium include fish with edible bones, tortillas processed with lime, green vegetables high in calcium (e.g. broccoli, kale), legumes and by-products of legumes (e.g. tofu). The interaction between calcium intake and physical activity, sun exposure, and intake of other dietary components (e.g. vitamin D, vitamin K, sodium, protein) and protective phytonutrients (e.g. soy compounds), needs to be considered before recommending increased calcium intake in countries with low fracture incidence in order to be in line with recommendations for industrialized countries (18).

With regard to calcium intakes to prevent osteoporosis, the Consultation referred to the recommendations of the Joint FAO/WHO Expert Consultation on Vitamin and Mineral Requirements in Human Nutrition (18) which highlighted the calcium paradox. The paradox (that hip fracture rates are higher in developed countries where calcium intake is higher than in developing countries where calcium intake is lower) clearly calls for an explanation. To date, the accumulated data indicate that the adverse effect of protein, in particular animal (but not vegetable) protein, might outweigh the positive effect of calcium intake on calcium balance.

The report of the Joint FAO/WHO Expert Consultation on Vitamin and Mineral Requirements in Human Nutrition made it clear that the recommendations for calcium intakes were based on long-term (90 days) calcium balance data for adults derived from Australia, Canada, the European Union, the United Kingdom and the United States, and were not necessarily applicable to all countries worldwide. The report also acknowledged that strong evidence was emerging that the requirements for calcium might vary from culture to culture for dietary, genetic, lifestyle and geographical reasons. Therefore, two sets of allowances were recommended: one for countries with low consumption of animal protein, and another based on data from North America and Western Europes (18).

The following conclusions were reached:

References

1. Consensus Development Conference. Diagnosis, prophylaxis, and treatment of osteoporosis. American Journal of Medicine, 1993, 94:646-650.

2. Prentice A. Is nutrition important in osteoporosis? Proceedings of the Nutrition Society, 1997, 56:357-367.

3. Compston JE. Osteoporosis. In: Campbell GA, Compston JE, Crisp AJ, eds. The management of common metabolic bone disorders. Cambridge, Cambridge University Press, 1993:29-62.

4. Johnell O. The socioeconomic burden of fractures: today and in the 21st century. American Journal of Medicine, 1997, 103(Suppl. 2A):S20-S25.

5. Royal College of Physicians. Fractured neck of femur. Prevention and management. Summary and recommendations of a report of the Royal College of Physicians. Journal of the Royal College of Physicians, 1989, 23:8-12.

6. Cooper C, Campion G, Melton LJ. Hip fractures in the elderly: a world-wide projection. Osteoporosis International, 1992, 2:285-289.

7. Melton LJ III. Epidemiology of fractures. In: Riggs BL, Melton LJ III, eds. Osteoporosis: etiology, diagnosis, and management, 2nd ed. Philadelphia, Lippincott-Raven, 1995:225-247.

8. Eastell R et al. Management of male osteoporosis: report of the UK Consensus Group. Quarterly Journal of Medicine, 1998, 91:71-92.

9. Yan L et al. Epidemiological study of hip fracture in Shenyang, People’s Republic of China. Bone, 1999, 24:151-155.

10. Elffors L et al. The variable incidence of hip fracture in southern Europe: the MEDOS Study. Osteoporosis International, 1994, 4:253-263.

11. Maggi S et al. Incidence of hip fracture in the elderly: a cross-national analysis. Osteoporosis International, 1991, 1:232-241.

12. Osteoporosis: clinical guidelines for prevention and treatment. London, Royal College of Physicians, 1999.

13. Kannus P et al. Epidemiology of hip fractures. Bone, 1996, 18(Suppl.1): 57S-63S.

14. Lau EM, Cooper C. The epidemiology of osteoporosis: the oriental perspective in a world context. Clinical Orthopaedics and Related Research, 1996, 323:65-74.

15. Department of Health. Nutrition and bone health: with particular reference to calcium and vitamin D. Report of the Subgroup on Bone Health, Working Group on the Nutritional Status of the Population of the Committee on Medical Aspects of Food and Nutrition Policy. London, The Stationery Office, 1998 (Report on Health and Social Subjects, No. 49).

16. Standing Committee on the Scientific Evaluation of Dietary Reference Intakes, Food and Nutrition Board, Institute of Medicine. Dietary reference intakes for calcium, phosphorus, magnesium, vitamin D, and fluoride. Washington, DC, National Academy Press, 1997.

17. NIH Consensus Development Panel on Optimal Calcium Intake. Optimal calcium intake. NIH Consensus Conference. Journal of the American Medical Association, 1994, 272:1942-1948.

18. Vitamin and mineral requirements in human nutrition. Report of the Joint FAO/WHO Expert Consultation. Geneva, World Health Organization, (in press).


[4] A WHO Expert Consultation on Appropriate BMI for Asian Populations and its Implications for Policy and Intervention Strategies was held in Singapore from 8 to 11 July 2002 in order to: (i) review the scientific evidence on the relationship between BMI, body composition and risk factors in Asian populations; (ii) examine if population specific BMI cut-off points for overweight and obesity are necessary for Asian populations; (iii) examine the purpose and basis of ethnic-specific definitions; and iv) examine further research needs in this area. As one of its recommendations, the Consultation formed a Working Group to examine available data on the relationship between waist circumference and morbidity, and the interaction between BMI, waist circumference and health risk in order to define future research needs and develop recommendations for the use of additional waist measurements to further define risks.
[5] See also reference 5.
[6] The glycaemic index is calculated as the glycaemic response to a quantity of food containing a set amount, usually 50 g, of carbohydrate, expressed as a percentage of the glycaemic response following ingestion of a similar quantity of glucose or of carbohydrate in white bread.
[7] Specific amounts will depend on the analytical methodologies used to measure fibre.
[8] One unit is equivalent to approximately 10 g of alcohol and is provided by one glass of beer, wine or spirits.
[9] Poultry and fish (except Chinese-style salted fish) have been studied and found not to be associated with increased risk for cancer.

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