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

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...

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Autores principales: Kamal, Mustafa, Md. Arifur Rahaman, Nandi, Ravi, Parupalli, V.L. Bharathi, Aravindakshan, Sreejith, Hossain, Md. Khaled, Krupnik, Timothy J.
Formato: Brochure
Lenguaje:Inglés
Publicado: TAFSSA 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/169973
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author Kamal, Mustafa
Md. Arifur Rahaman
Nandi, Ravi
Parupalli, V.L. Bharathi
Aravindakshan, Sreejith
Hossain, Md. Khaled
Krupnik, Timothy J.
author_browse Aravindakshan, Sreejith
Hossain, Md. Khaled
Kamal, Mustafa
Krupnik, Timothy J.
Md. Arifur Rahaman
Nandi, Ravi
Parupalli, V.L. Bharathi
author_facet Kamal, Mustafa
Md. Arifur Rahaman
Nandi, Ravi
Parupalli, V.L. Bharathi
Aravindakshan, Sreejith
Hossain, Md. Khaled
Krupnik, Timothy J.
author_sort Kamal, Mustafa
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
format Brochure
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language Inglés
publishDate 2024
publishDateRange 2024
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spelling CGSpace1699732025-05-04T09:21:37Z Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling Kamal, Mustafa Md. Arifur Rahaman Nandi, Ravi Parupalli, V.L. Bharathi Aravindakshan, Sreejith Hossain, Md. Khaled Krupnik, Timothy J. feeding habits agricultural production nutrition households 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. 2024-10 2025-01-26T03:40:06Z 2025-01-26T03:40:06Z Brochure https://hdl.handle.net/10568/169973 en Open Access application/pdf TAFSSA 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
spellingShingle feeding habits
agricultural production
nutrition
households
Kamal, Mustafa
Md. Arifur Rahaman
Nandi, Ravi
Parupalli, V.L. Bharathi
Aravindakshan, Sreejith
Hossain, Md. Khaled
Krupnik, Timothy J.
Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title_full Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title_fullStr Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title_full_unstemmed Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title_short Understanding dietary diversity gains from agronomic-nutritional interventions across age and gender: a longitudinal analysis using repeated measures ANOVA and mixed-effects modeling
title_sort understanding dietary diversity gains from agronomic nutritional interventions across age and gender a longitudinal analysis using repeated measures anova and mixed effects modeling
topic feeding habits
agricultural production
nutrition
households
url https://hdl.handle.net/10568/169973
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