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The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India

BACKGROUND: Child malnutrition remains a major public health issue in India. Along with myriad upstream and social determinants of these adverse outcomes, recent studies have highlighted regional differences in mean child malnutrition rates. This research helps policy makers look between urban and r...

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Autores principales: Jain, Anoop, Rodgers, Justin, Kim, Rockli, Subramanian, S. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507104/
https://www.ncbi.nlm.nih.gov/pubmed/34641859
http://dx.doi.org/10.1186/s12939-021-01563-7
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author Jain, Anoop
Rodgers, Justin
Kim, Rockli
Subramanian, S. V.
author_facet Jain, Anoop
Rodgers, Justin
Kim, Rockli
Subramanian, S. V.
author_sort Jain, Anoop
collection PubMed
description BACKGROUND: Child malnutrition remains a major public health issue in India. Along with myriad upstream and social determinants of these adverse outcomes, recent studies have highlighted regional differences in mean child malnutrition rates. This research helps policy makers look between urban and rural communities and states to take a population-level approach to addressing the root causes of child malnutrition. However, one gap in this between-population approach has been the omission of households as a unit of analysis. Households could represent important sources of variation in child malnutrition within communities, districts, and states. METHODS: Using the fourth round of India’s National Family Health Survey from 2015 to 2016, we analyzed four and five-level multilevel models to estimate the proportion of variation in child malnutrition attributable to states, districts, communities, households, and children. RESULTS: Overall, we found that of the four levels that children were nested in (households, communities, districts, and states), the greatest proportion of variation in child height-for-age Z score, weight-for-age Z score, weight-for-height Z score, hemoglobin, birthweight, stunting, underweight, wasting, anemia, and low birthweight was attributable to households. Furthermore, we found that when the household level is omitted from models, the variance estimates for communities and children are overestimated. CONCLUSIONS: These findings highlight the importance of households as an important source of clustering and variation in child malnutrition outcomes. As such, policies and interventions should address household-level social determinants, such as asset and social deprivations, in order to prevent poor child growth outcomes among the most vulnerable households in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01563-7.
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spelling pubmed-85071042021-10-25 The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India Jain, Anoop Rodgers, Justin Kim, Rockli Subramanian, S. V. Int J Equity Health Research BACKGROUND: Child malnutrition remains a major public health issue in India. Along with myriad upstream and social determinants of these adverse outcomes, recent studies have highlighted regional differences in mean child malnutrition rates. This research helps policy makers look between urban and rural communities and states to take a population-level approach to addressing the root causes of child malnutrition. However, one gap in this between-population approach has been the omission of households as a unit of analysis. Households could represent important sources of variation in child malnutrition within communities, districts, and states. METHODS: Using the fourth round of India’s National Family Health Survey from 2015 to 2016, we analyzed four and five-level multilevel models to estimate the proportion of variation in child malnutrition attributable to states, districts, communities, households, and children. RESULTS: Overall, we found that of the four levels that children were nested in (households, communities, districts, and states), the greatest proportion of variation in child height-for-age Z score, weight-for-age Z score, weight-for-height Z score, hemoglobin, birthweight, stunting, underweight, wasting, anemia, and low birthweight was attributable to households. Furthermore, we found that when the household level is omitted from models, the variance estimates for communities and children are overestimated. CONCLUSIONS: These findings highlight the importance of households as an important source of clustering and variation in child malnutrition outcomes. As such, policies and interventions should address household-level social determinants, such as asset and social deprivations, in order to prevent poor child growth outcomes among the most vulnerable households in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01563-7. BioMed Central 2021-10-12 /pmc/articles/PMC8507104/ /pubmed/34641859 http://dx.doi.org/10.1186/s12939-021-01563-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jain, Anoop
Rodgers, Justin
Kim, Rockli
Subramanian, S. V.
The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title_full The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title_fullStr The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title_full_unstemmed The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title_short The relative importance of households as a source of variation in child malnutrition: a multilevel analysis in India
title_sort relative importance of households as a source of variation in child malnutrition: a multilevel analysis in india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507104/
https://www.ncbi.nlm.nih.gov/pubmed/34641859
http://dx.doi.org/10.1186/s12939-021-01563-7
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