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Small Area Variations in Dietary Diversity Among Children in India: A Multilevel Analysis of 6-23-Month-Old Children.
Jain, Anoop; Wang, Weiyu; James, K S; Sarwal, Rakesh; Kim, Rockli; Subramanian, S V.
Afiliação
  • Jain A; Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.
  • Wang W; Harvard Center for Population and Development Studies, Cambridge, MA, United States.
  • James KS; International Institute for Population Sciences, Mumbai, India.
  • Sarwal R; National Institution for Transforming India (NITI) Aayog, Government of India, New Delhi, India.
  • Kim R; Division of Health Policy and Management, College of Health Science, Korea University, Seoul, South Korea.
  • Subramanian SV; Harvard Center for Population and Development Studies, Cambridge, MA, United States.
Front Nutr ; 8: 791509, 2021.
Article em En | MEDLINE | ID: mdl-35252284
ABSTRACT
Dietary diversity is an important indicator of child malnutrition. However, little is known about the geographic variation of diet indicators across India, particularly within districts and across states. As such, the purpose of this paper was to elucidate the small area variations in diet indicators between clusters within districts of India. Overall, we found that clusters were the largest source of variation for children not eating grains, roots, and tubers, legumes and nuts, dairy, vitamin A-rich vegetables and fruits, and other vegetables and fruits. We also found positive correlations between the district percent and cluster standard deviations of children not breastfeeding or eating grains, roots, and tubers, but negative correlations between the district percent and cluster standard deviation for the remaining seven outcomes. These findings underscore the importance of targeting clusters to improve child dietary diversity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article