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...

Descripción completa

Detalles Bibliográficos
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

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