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ArticleMethodology design of the regional Sub-Saharan Africa Total Diet Study in Benin, Cameroon, Mali and Nigeria 2017
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No results found.The core food model was described more than three decades ago, and has been used ever since to identify main food contributors to dietary intakes for both nutrients and other food chemicals. The Sub-Saharan Africa Total Diet Study (SSA-TDS) uses this model to describe the food consumption habits of some selected populations of Benin, Cameroon, Mali, and Nigeria, prior to use in the completion of quantitative risk assessments with regard to food chemicals. Food consumption data were derived from food expenditure data contained in national household budget surveys that were provided by the national institutes of statistics in each country. A classification of African foods was established for the purpose of the study and core foods were selected, so as to reflect 96 ± 1% of the average national total diet expressed in weight. Populations from eight study centers were selected by national stakeholders. This approach involves the purchase of 4020 individual foods, prepared as consumed and pooled into 335 food composite samples, for analysis of mycotoxins, PAHs, PCBs and dioxins, pesticides, metals and trace elements, PFAs, and BFRs. This sampling plan aims to provide a representative, cost effective, and replicable approach for deterministic dietary exposure assessments in developing countries. -
ArticleCross-context equivalence and agreement of healthy diet metrics for national and global monitoring: a multicountry analysis of cross-sectional quantitative 24-hour dietary intake studies 2024
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No results found.The impacts of diets on public health are well recognized, yet most countries do not have surveillance systems for monitoring diets at scale. This is constrained, in part, by the lack of universally accepted healthy diet metrics. Timely national dietary intake data are crucial to assess more immediate progress toward international initiatives’ indicators, identify within-country disparities, permit valid cross-country comparisons, and inform high-level decisions on nutrition-specific and nutrition-sensitive actions. -
Book (series)Estimating the prevalence of nutrient inadequacy from household consumption and expenditure surveys 2022
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No results found.Malnutrition is pervasive in both low- and middle-income countries. Yet, there is a scarcity of food intake data collected at the individual level to describe diets, determine the prevalence of inadequate nutrient consumption in populations, and shed light on how diets contribute to the malnutrition burden. In the absence of nationally representative individual-level food intake surveys, particularly in low- and middle-income countries, dietary data collected in household consumption and expenditure surveys (HCES) are being used as a second-best option to make inferences on the food and nutrient consumption of populations. This paper proposes an innovative approach to estimate variability in nutrient intake that uses food data collected in HCES to estimate the prevalence of nutrient inadequacy in a country. This method builds on the approach developed by FAO to estimate the indicator of inequality used in the Prevalence of Undernourishment used in the global monitoring of food insecurity.
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