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Book (stand-alone)FAO/Intake joint meeting report on Dietary Data Collection, Analysis and Use
Taking Stock of Country Experiences and Promising Practices in Low- and Middle-Income Countries
2020Also available in:
No results found.Dietary data provide critical information to guide the design of evidence-based nutrition and agriculture policies and programmes. Such information is especially crucial in low- and middle-income countries (LMICs). In addition to having the highest levels of undernutrition globally, these countries are now also seeing dramatic changes in dietary patterns, with diets shifting increasingly away from a “traditional diet”, towards a diet more heavily influenced by processed, packaged and energy-dense foods with little nutrient content. As a method for collecting data on what people eat, nationally representative, quantitative 24-hour dietary recall surveys are considered the gold standard, but they are expensive, time-consuming and require specialized technical expertise to carry out. Thus, despite the clear need for dietary data in LMICs, the number of such countries with nationwide dietary data available to guide the design of policies and programmes remains relatively low. This report provides a summary and highlights from a technical meeting on “Dietary Data Collection, Analysis and Use: Taking Stock of Country Experiences and Promising Practices in Low- and Middle-Income Countries”, jointly convened by the Food and Agriculture Organization of the United Nations and the Intake Center for Dietary Assessment, on December 11–13, 2019 at FAO headquarters in Rome, Italy. The meeting, which brought together experts from 20 LMICs across different regions of the world, aimed overall to promote South–South learning, cross-regional networking, and the sharing of experiences with national (or large-scale), government-led, government-owned, quantitative 24-hour dietary recall surveys in LMICs. -
Book (series)Methodological issues in the estimation of the prevalence of undernourishment based on dietary energy consumption data: A review and clarification 2014
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No results found.Sukhatme had in the early 1960’s originally formulated the estimate of the proportion of undernourished in a population (PU) within a bivariate distribution framework where dietary energy consumption (DEC) and dietary energy requirement (DER) are considered as random variables. However, in the absence of data on DEC and DER of individuals expressed in the form of bivariate distribution, Sukhatme had suggested a formula that considers the part of the distribution of DEC below a cut-off point repr esenting the lower limit of the distribution of DER as an estimate of PU. However, this univariate approach has been criticised as yielding an underestimate of the magnitude of the prevalence undernourishment in a population. In response to this critic, Sukhatme has attempted to justify the approach by invoking the theory of intra-individual changes in DER. As this theory has led to a controversy rather than a clarification of the univariate approach, doubts regarding its validity still prevail. Following a review of these developments including the concept of DER, this article shows that the formulation of PU within the bivariate distribution framework is inappropriate. Subsequently, the relevance of the univariate approach is clarified. Finally, the article addresses certain issues relating to practical estimation of the prevalence measures based on household rather than individual data pertaining to DEC. -
DocumentHousehold Consumption and Expenditure Surveys and the prevalence of nutrient inadequacy 2022
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