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Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016

BACKGROUND: Despite significant economic growth and development, undernutrition among children remains a major public health challenge for low- and middle-income countries in the twenty-first century. In Millennium Development Goals, India committed halving the prevalence of underweight children by...

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Autores principales: Prusty, Ranjan Kumar, Bairwa, Mohan, Anwar, Fahmina, Mishra, Vijay Kumar, Patel, Kamalesh Kumar, Mangal, Daya Krishan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722359/
https://www.ncbi.nlm.nih.gov/pubmed/34980283
http://dx.doi.org/10.1186/s41043-021-00273-8
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author Prusty, Ranjan Kumar
Bairwa, Mohan
Anwar, Fahmina
Mishra, Vijay Kumar
Patel, Kamalesh Kumar
Mangal, Daya Krishan
author_facet Prusty, Ranjan Kumar
Bairwa, Mohan
Anwar, Fahmina
Mishra, Vijay Kumar
Patel, Kamalesh Kumar
Mangal, Daya Krishan
author_sort Prusty, Ranjan Kumar
collection PubMed
description BACKGROUND: Despite significant economic growth and development, undernutrition among children remains a major public health challenge for low- and middle-income countries in the twenty-first century. In Millennium Development Goals, India committed halving the prevalence of underweight children by 2015. This study aimed to explain the geographical variation in child malnutrition level and understand the socio-biomedical predictors of child nutrition in India. METHODS: We used the data from India’s National Family Health Survey 2015–2016. The survey provided estimates of stunting, wasting, and underweight at the national, state, and district level to measure nutritional status of under-five children. Level of stunting, wasting and underweight at the district level are considered as outcome variables. We have used variance inflation factor to check the multicollinearity between potential predictors of nutrition. In this study, we performed spatial analysis using ArcGIS and multiple linear regression analysis using Stata version 15. RESULTS: Five states (Uttar Pradesh, Bihar, Madhya Pradesh, Jharkhand and Meghalaya) had very high prevalence of stunting (40% and above). High prevalence of wasting was documented in Jharkhand, Madhya Pradesh, Chhattisgarh, and Karnataka (23 to 29%). Jharkhand, Madhya Pradesh, Maharashtra, and Chhattisgarh had the highest proportion of underweight children in the country. We found that electricity and clean fuel use in the household, use of iodized salt, and level of exclusive breastfeeding had significantly negative influence on the stunting level in the districts. The use of iodized salt has similar effect on the wasting status of under-five children in the districts (b: − 0.27, p < 0.10). Further, underweight level had a negative association with clean fuel use for cooking (b: − 0.17, p < 0.01), use of iodized salt (b: − 0.36, p < 0.10), breastfeeding within one hour (b: − 0.18, p < 0.10), semisolid/solid food within 6–8 months (b: − 0.11, p < 0.05) and Gross Domestic Product of the districts (b: − 0.53, p < 0.10). CONCLUSION: In the study, a variety of factors including electricity and clean fuel use in the household, use of iodized salt, level of exclusive breastfeeding, breastfeeding within one hour, semisolid/solid food within 6–8 months and Gross Domestic Product of the districts have a significant association with nutritional status of children.
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spelling pubmed-87223592022-01-06 Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016 Prusty, Ranjan Kumar Bairwa, Mohan Anwar, Fahmina Mishra, Vijay Kumar Patel, Kamalesh Kumar Mangal, Daya Krishan J Health Popul Nutr Research Article BACKGROUND: Despite significant economic growth and development, undernutrition among children remains a major public health challenge for low- and middle-income countries in the twenty-first century. In Millennium Development Goals, India committed halving the prevalence of underweight children by 2015. This study aimed to explain the geographical variation in child malnutrition level and understand the socio-biomedical predictors of child nutrition in India. METHODS: We used the data from India’s National Family Health Survey 2015–2016. The survey provided estimates of stunting, wasting, and underweight at the national, state, and district level to measure nutritional status of under-five children. Level of stunting, wasting and underweight at the district level are considered as outcome variables. We have used variance inflation factor to check the multicollinearity between potential predictors of nutrition. In this study, we performed spatial analysis using ArcGIS and multiple linear regression analysis using Stata version 15. RESULTS: Five states (Uttar Pradesh, Bihar, Madhya Pradesh, Jharkhand and Meghalaya) had very high prevalence of stunting (40% and above). High prevalence of wasting was documented in Jharkhand, Madhya Pradesh, Chhattisgarh, and Karnataka (23 to 29%). Jharkhand, Madhya Pradesh, Maharashtra, and Chhattisgarh had the highest proportion of underweight children in the country. We found that electricity and clean fuel use in the household, use of iodized salt, and level of exclusive breastfeeding had significantly negative influence on the stunting level in the districts. The use of iodized salt has similar effect on the wasting status of under-five children in the districts (b: − 0.27, p < 0.10). Further, underweight level had a negative association with clean fuel use for cooking (b: − 0.17, p < 0.01), use of iodized salt (b: − 0.36, p < 0.10), breastfeeding within one hour (b: − 0.18, p < 0.10), semisolid/solid food within 6–8 months (b: − 0.11, p < 0.05) and Gross Domestic Product of the districts (b: − 0.53, p < 0.10). CONCLUSION: In the study, a variety of factors including electricity and clean fuel use in the household, use of iodized salt, level of exclusive breastfeeding, breastfeeding within one hour, semisolid/solid food within 6–8 months and Gross Domestic Product of the districts have a significant association with nutritional status of children. BioMed Central 2022-01-03 /pmc/articles/PMC8722359/ /pubmed/34980283 http://dx.doi.org/10.1186/s41043-021-00273-8 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 Article
Prusty, Ranjan Kumar
Bairwa, Mohan
Anwar, Fahmina
Mishra, Vijay Kumar
Patel, Kamalesh Kumar
Mangal, Daya Krishan
Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title_full Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title_fullStr Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title_full_unstemmed Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title_short Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015–2016
title_sort socio-biomedical predictors of child nutrition in india: an ecological analysis from a nationally representative demographic and health survey, 2015–2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722359/
https://www.ncbi.nlm.nih.gov/pubmed/34980283
http://dx.doi.org/10.1186/s41043-021-00273-8
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