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Inequality in child undernutrition among urban population in India: a decomposition analysis

BACKGROUND: With increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life. This study analyses child undernutrition among urban poor and non-poor and decomposes t...

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Autores principales: Singh, S. K., Srivastava, Shobhit, Chauhan, Shekhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713021/
https://www.ncbi.nlm.nih.gov/pubmed/33272222
http://dx.doi.org/10.1186/s12889-020-09864-2
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author Singh, S. K.
Srivastava, Shobhit
Chauhan, Shekhar
author_facet Singh, S. K.
Srivastava, Shobhit
Chauhan, Shekhar
author_sort Singh, S. K.
collection PubMed
description BACKGROUND: With increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life. This study analyses child undernutrition among urban poor and non-poor and decomposes the contribution of various factors influencing socio-economic inequality. This paper uses data from two recent rounds of National Family Health Survey (NFHS-3&4) conducted during 2005–06 and 2015–16. METHODS: The concentration index (CI) and the concentration curve (CC) measure socio-economic inequality in child growth in terms of stunting, wasting, and underweight. Wagstaff decomposition further analyses key contributors in CI by segregating significant covariates into five groups-mother’s factor, health-seeking factors, environmental factors, child factors, and socio-economic factors. RESULTS: The prevalence of child undernutrition was more pronounced among children from poor socio-economic strata. The concentration index decreased for stunting (− 0.186 to − 0.156), underweight (− 0.213 to − 0.162) and wasting (− 0.116 to − 0.045) from 2005 to 06 to 2015–16 respectively. The steepness in growth was more among urban poor than among urban non-poor in every age interval. Maternal education contributed about 19%, 29%, and 33% to the inequality in stunting, underweight and wasting, respectively during 2005–06. During 2005–06 as well as 2015–16, maternal factors (specifically mother’s education) were the highest contributory factors in explaining rich-poor inequality in stunting as well as underweight. More than 85% of the economic inequality in stunting, underweight, and wasting among urban children were explained by maternal factors, environmental factors, and health-seeking factors. CONCLUSION: All the nutrition-specific and nutrition-sensitive interventions in urban areas should be prioritized, focusing on urban poor, who are often clustered in low-income slums. Rich-poor inequality in child growth calls out for integration and convergence of nutrition interventions with policy interventions aimed at poverty reduction. There is also a need to expand the scope of the Integrated Child Development Services (ICDS) program to provide mass education regarding nutrition and health by making provisions of home visits of workers primarily focusing on pregnant and lactating mothers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09864-2.
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spelling pubmed-77130212020-12-03 Inequality in child undernutrition among urban population in India: a decomposition analysis Singh, S. K. Srivastava, Shobhit Chauhan, Shekhar BMC Public Health Research Article BACKGROUND: With increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life. This study analyses child undernutrition among urban poor and non-poor and decomposes the contribution of various factors influencing socio-economic inequality. This paper uses data from two recent rounds of National Family Health Survey (NFHS-3&4) conducted during 2005–06 and 2015–16. METHODS: The concentration index (CI) and the concentration curve (CC) measure socio-economic inequality in child growth in terms of stunting, wasting, and underweight. Wagstaff decomposition further analyses key contributors in CI by segregating significant covariates into five groups-mother’s factor, health-seeking factors, environmental factors, child factors, and socio-economic factors. RESULTS: The prevalence of child undernutrition was more pronounced among children from poor socio-economic strata. The concentration index decreased for stunting (− 0.186 to − 0.156), underweight (− 0.213 to − 0.162) and wasting (− 0.116 to − 0.045) from 2005 to 06 to 2015–16 respectively. The steepness in growth was more among urban poor than among urban non-poor in every age interval. Maternal education contributed about 19%, 29%, and 33% to the inequality in stunting, underweight and wasting, respectively during 2005–06. During 2005–06 as well as 2015–16, maternal factors (specifically mother’s education) were the highest contributory factors in explaining rich-poor inequality in stunting as well as underweight. More than 85% of the economic inequality in stunting, underweight, and wasting among urban children were explained by maternal factors, environmental factors, and health-seeking factors. CONCLUSION: All the nutrition-specific and nutrition-sensitive interventions in urban areas should be prioritized, focusing on urban poor, who are often clustered in low-income slums. Rich-poor inequality in child growth calls out for integration and convergence of nutrition interventions with policy interventions aimed at poverty reduction. There is also a need to expand the scope of the Integrated Child Development Services (ICDS) program to provide mass education regarding nutrition and health by making provisions of home visits of workers primarily focusing on pregnant and lactating mothers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09864-2. BioMed Central 2020-12-03 /pmc/articles/PMC7713021/ /pubmed/33272222 http://dx.doi.org/10.1186/s12889-020-09864-2 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Singh, S. K.
Srivastava, Shobhit
Chauhan, Shekhar
Inequality in child undernutrition among urban population in India: a decomposition analysis
title Inequality in child undernutrition among urban population in India: a decomposition analysis
title_full Inequality in child undernutrition among urban population in India: a decomposition analysis
title_fullStr Inequality in child undernutrition among urban population in India: a decomposition analysis
title_full_unstemmed Inequality in child undernutrition among urban population in India: a decomposition analysis
title_short Inequality in child undernutrition among urban population in India: a decomposition analysis
title_sort inequality in child undernutrition among urban population in india: a decomposition analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713021/
https://www.ncbi.nlm.nih.gov/pubmed/33272222
http://dx.doi.org/10.1186/s12889-020-09864-2
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