Factsheet

Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling

author(s) Kamal, Mustafa - Md. Arifur Rahaman - Nandi, Ravi - Parupalli, V.L. Bharathi - Aravindakshan, Sreejith - Hossain, Md. Khaled - Krupnik, Timothy J.
from CGIAR - Consortium of International Agricultural Research Centers
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themes
regions
  • Southern Asia
  • Asia
  • World
citation

Kamal, M., Rahaman, M. A., Nandi, R., Parupalli, B., Aravindakshan, S., Hossain, M. K., & Krupnik, T. J. (2024). Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: A longitudinal analysis using repeated measures ANOVA and mixed-effects modeling. Research Note 35. TAFSSA. https://hdl.handle.net/10883/35366
Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling

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Abstract

This brief presents the results of the Diet Quality Questionnaire (DQQ), examining the influence of age, gender, and agronomic-nutritional interventions across a longitudinal study from January 2023 to February 2024. Data were collected over five discrete time points, capturing dietary patterns and quality across three major agricultural production seasons—Rabi, Kharif I, and Kharif II—in Bangladesh.

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