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GAIN Discussion Paper n°9 FOOD GROUP DIVERSITY AND NUTRIENT ADEQUACY DIETARY DIVERSITY AS A PROXY FOR MICRONUTRIENT ADEQUACY FOR DIFFERENT AGE AND SEX GROUPS IN MEXICO AND CHINA GAIN Discussion Paper Series n°9 June, 2021 Mary Arimond, Doris Wiesmann, Sonia Rodríguez Ramírez, Teresa Shamah Levy, Sheng Ma, Zhiyong Zou, Anna Herforth, and Ty Beal GAIN Discussion Paper n°9 ABOUT GAIN The Global Alliance for Improved Nutrition (GAIN) is a Swiss-based foundation launched at the UN in 2002 to tackle the human suffering caused by malnutrition. Working with governments, businesses and civil society, we aim to transform food systems so that they deliver more nutritious food for all people, especially the most vulnerable. Recommended citation Arimond M, Wiesmann D, Ramírez SR, Levy TS, Ma S, Zou Z, Herforth A, and Beal T. Food group diversity and nutrient adequacy: Dietary diversity as a proxy for micronutrient adequacy for different age and sex groups in Mexico and China. Global Alliance for Improved Nutrition (GAIN). Discussion Paper #9. Geneva, Switzerland, 2021. DOI: https://doi.org/10.36072/dp.9 © The Global Alliance for Improved Nutrition (GAIN) This work is available under the Creative Commons Attribution-Non-Commercial-Share Alike 4.0 IGO licence (CC BY-NC-SA 4.0 IGO; https://creativecommons.org/licenses/by-nc-sa/4.0/). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that GAIN endorses any specific organisation, products or services. The use of the GAIN logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons license. The contribution of third parties do not necessarily represent the view or opinion of GAIN. Acknowledgements We thank María Concepción, Medina-Zacarias, Andrys Valdez-Sánchez, Ruyi Li, and Hanxu Shi for supporting data cleaning and processing and Stella Nordhagen and Flaminia Ortenzi for reviewing drafts of this manuscript. This work was supported by the Government of Canada, as part of the Business Platform for Nutrition Research (BPNR) hosted by the Global Alliance for Improved Nutrition, and the Global Diet Quality Project which is financially supported by the Rockefeller Foundation and the Swiss Federal Department Of Foreign Affairs. Cover photo credit: © Shutterstock/lunamarina GAIN DISCUSSION PAPER SERIES The GAIN Discussion Paper series is designed to spark discussion and debate and to inform action on topics of relevance to improving the consumption of nutritious, safe foods for all, especially the most vulnerable. The Global Alliance for Improved Nutrition (GAIN) Rue de Varembé 7 1202 Geneva Switzerland T: +41 22 749 18 50 E: info@gainhealth.org www.gainhealth.org 1 GAIN Discussion Paper n°9 SUMMARY Poor diet quality is a major cause of morbidity and mortality at all country income levels. Yet to date, low-cost, feasible metrics for population-level assessment and monitoring of diet quality are scarce. High-quality diets are safe, meet nutrient needs for healthy growth and development at all ages, and reduce risks of non-communicable disease. While comprehensive metrics covering multiple dimensions are desirable, there is also a role for simpler indicators reflecting nutrient adequacy. This is particularly so in contexts where diets lack diversity and deliver inadequate micronutrients. To meet these needs, several simple food group diversity indicators have been developed. These include the Minimum Dietary Diversity (MDD) indicator for infants and young children, and a similar indicator, MDD-W, developed for women of reproductive age. However, there is demand for indicators for other demographic groups. This paper thus tests the relevance and performance of the MDD-W indicator and its underlying 10-point food group diversity score (FGDS) for various demographic groups using data from two large upper-middle- income countries, Mexico and China. We found that the FGDS was consistently and reasonably strongly associated with a summary measure of micronutrient adequacy in both countries and for all age groups. The MDD-W cut-off of five or more food groups allows expression of the indicator in terms of population prevalence meeting this minimum, rather than as a score. This may have advantages for communication and target setting. However, while this cut-off worked well for most demographic groups in Mexico, it did not in China. We conclude that when more resource- intensive measurement is infeasible, FGDS is a meaningful proxy indicator of micronutrient adequacy for diverse demographic groups and in diverse country income settings. The issue of universal cut-offs remains challenging and unresolved, and additional studies in middle- income countries and with diverse age groups are warranted. KEY MESSAGES • Low-cost, feasible, population-level indicators of diet quality are needed for all demographic groups and for a variety of country income levels. • A simple 10-food group dietary diversity score was consistently associated with micronutrient adequacy for all age and sex groups (two years and older) in two upper middle-income countries (China and Mexico). • A cut-off of five or more food groups, currently in use for women of reproductive age, gave inconsistent results across the two countries. • When low-cost dietary measurement is an imperative, a simple 10-food group score can be recommended as a proxy indicator of micronutrient adequacy of the diet, for all groups two years of age and older. 2 GAIN Discussion Paper n°9 Acronyms AUC Area under the receiver operating characteristic curve BMI Body mass index BMR Basal metabolic rate CHNS China Health and Nutrition Survey ENSANUT Encuesta Nacional de Salud y Nutrición (Mexican National Health and Nutrition Survey) FGDS A food group score with one point for each of ten food groups MDD-W Minimum dietary diversity indicator for women of reproductive age MPA Mean probability of adequacy across eleven micronutrients NRV Nutrient reference value PA Probability of adequacy ROC Receiver operating characteristic WRA Women of reproductive age, defined as 15–49 years 3
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