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Estimating levels of energy and nutrient inadequacy in a population using household survey data

Open Meeting of the UN-CEAG (53rd Session of the United Nations Statistical Commission, 17 February 2022)







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    Estimating the prevalence of nutrient inadequacy from household consumption and expenditure surveys 2022
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    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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    The effect of sampling design on the reliability of estimates of the variance of distributions derived from household survey data: a simulation study 2007
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    On a regular basis, FAO produces estimates of the prevalence of undernourishment and related measures that require estimates of the frequency distribution of household per capita food consumption, expressed in terms of dietary energy (kilocalories).

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