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Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India

This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrit...

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Autores principales: Singh, Shri Kant, Chauhan, Alka, Sharma, Santosh Kumar, Puri, Parul, Pedgaonkar, Sarang, Dwivedi, Laxmi Kant, Taillie, Lindsey Smith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10420920/
https://www.ncbi.nlm.nih.gov/pubmed/37571415
http://dx.doi.org/10.3390/nu15153478
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author Singh, Shri Kant
Chauhan, Alka
Sharma, Santosh Kumar
Puri, Parul
Pedgaonkar, Sarang
Dwivedi, Laxmi Kant
Taillie, Lindsey Smith
author_facet Singh, Shri Kant
Chauhan, Alka
Sharma, Santosh Kumar
Puri, Parul
Pedgaonkar, Sarang
Dwivedi, Laxmi Kant
Taillie, Lindsey Smith
author_sort Singh, Shri Kant
collection PubMed
description This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels.
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spelling pubmed-104209202023-08-12 Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India Singh, Shri Kant Chauhan, Alka Sharma, Santosh Kumar Puri, Parul Pedgaonkar, Sarang Dwivedi, Laxmi Kant Taillie, Lindsey Smith Nutrients Article This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels. MDPI 2023-08-06 /pmc/articles/PMC10420920/ /pubmed/37571415 http://dx.doi.org/10.3390/nu15153478 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Singh, Shri Kant
Chauhan, Alka
Sharma, Santosh Kumar
Puri, Parul
Pedgaonkar, Sarang
Dwivedi, Laxmi Kant
Taillie, Lindsey Smith
Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title_full Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title_fullStr Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title_full_unstemmed Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title_short Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India
title_sort cultural and contextual drivers of triple burden of malnutrition among children in india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10420920/
https://www.ncbi.nlm.nih.gov/pubmed/37571415
http://dx.doi.org/10.3390/nu15153478
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