Minimum Dietary Diversity for Women: Partitioning Misclassifications by Proxy Data Collection Methods using Weighed Food Records as the Reference in Ethiopia

Hanley-Cook, G. et al.;

Minimum Dietary Diversity for Women: Partitioning Misclassifications by Proxy Data Collection Methods using Weighed Food Records as the Reference in Ethiopia

Year of publication 2024

Place of publication Rome, Italy ;

Pages 10 p.

Author Hanley-Cook, G. et al.;

Publisher Elsevier B.V. ;

Product type Article

Full item page

Synopsis (short abstract) Food group consumption misclassifications by proxy data collection methods were mainly attributable to females overreporting consumption because of respondent biases or the criterion for foods to be counted, rather than the suboptimal development of the food list in Ethiopia. To obtain precise and accurate MDD-W estimates at the (sub)national level, rigorous context-specific food list development, questionnaire pilot testing, and enumerator training are recommended to mitigate identified biases.

Open access article. This article is academically peer reviewed and published externally.” This article is published in Original Research: Current Developments in Nutrition Volume 8, Issue 7, 103792, July 2024

Cite this content as:

Hanley-Cook, Giles T., et al. "Minimum Dietary Diversity for Women (MDD-W): Partitioning misclassifications by proxy data collection methods using weighed food records as the reference in Ethiopia." Current Developments in Nutrition (2024): 103792.

Language English

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Poor diets are a leading cause of death and disease, yet a chronic lack of dietary data jeopardizes effective, evidence-based actions on nutrition. The Minimum Dietary Diversity for Women (MDD-W) indicator is a simple, food group-based indicator that can be integrated into existing large-scale surveys with relative ease, enabling the collection of valuable data on dietary diversity. This can in turn inform policies and interventions to improve nutrition in low- and middle-income countries. As a low-cost, easy-to-collect and easy-to-interpret indicator, MDD-W has already been successfully integrated into several large-scale surveys, including the Demographic and Health Surveys (DHS) Program of the United States Agency for International Development (USAID), and the Gallup© World Poll. Including MDD-W in more multitopic surveys will strengthen the global knowledge base on diets, and help countries monitor and achieve their nutrition goals.

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Minimum Dietary Diversity for Women: Partitioning Misclassifications by Proxy Data Collection Methods using Weighed Food Records as the Reference in Ethiopia

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Original Research: Current Developments in Nutrition – Volume 8, Issue 3, 102097, March 2024

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Simple dietary data for better nutrition

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