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Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18

BACKGROUND: Over the last two decades, Bangladesh has made progress in reducing the percentage of stunted children under age 5 years from 51% in 2004 to 31% in 2017. Such reduction has created a source for new research to understand its contributing factors. The present study aims to identify such c...

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Autores principales: Kumar, Pradeep, Rashmi, Rashmi, Muhammad, T., Srivastava, Shobhit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594170/
https://www.ncbi.nlm.nih.gov/pubmed/34784935
http://dx.doi.org/10.1186/s12889-021-12178-6
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author Kumar, Pradeep
Rashmi, Rashmi
Muhammad, T.
Srivastava, Shobhit
author_facet Kumar, Pradeep
Rashmi, Rashmi
Muhammad, T.
Srivastava, Shobhit
author_sort Kumar, Pradeep
collection PubMed
description BACKGROUND: Over the last two decades, Bangladesh has made progress in reducing the percentage of stunted children under age 5 years from 51% in 2004 to 31% in 2017. Such reduction has created a source for new research to understand its contributing factors. The present study aims to identify such crucial factors which contributed in reducing the percentage of under-five stunting status of children from 2004 to 2017–18. METHODS: The study used data from the Bangladesh Demographic and Health Surveys (BDHS), conducted in 2004 and in 2017–18, focused on children under-5-years of age (U5). The sample sizes were n = 6375 children included in the 2004 survey and n = 8312 children included in the 2017–18 survey. Descriptive analysis and bivariate analysis were conducted for a general characterization of the samples. Logistic regression was used to find out the significant factors contributing to the prevalence of stunting among U5 children. Furthermore, the Fairlie decomposition technique was used to identify the crucial factors that contributed to the reduction of stunting. RESULTS: The prevalence of stunting among U5 children has declined significantly, from 49.8 to 30.7% between the two survey periods (2004 and 2017–18). Estimates of decomposition analysis show that overall, the selected variables explained 50.6% of the decrease in the prevalence of stunting. Mother’s characteristics such as age at first birth, education level, working status and BMI (body mass index) status were the primary contributors of this change. Father’s characteristics, such as education explained 9% of this change. CONCLUSION: The results of the study highlight the importance of increasing maternal education and reducing inter-household wealth inequality to improve nutritional status of U5 children. In order to achieve further reduction in stunting, among U5 children in Bangladesh, this paper calls for policymakers to develop effective programs to improve maternal education, raise parental awareness of parents regarding children’s height and weight, and aim to significantly reduce inter-household inequalities.
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spelling pubmed-85941702021-11-16 Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18 Kumar, Pradeep Rashmi, Rashmi Muhammad, T. Srivastava, Shobhit BMC Public Health Research BACKGROUND: Over the last two decades, Bangladesh has made progress in reducing the percentage of stunted children under age 5 years from 51% in 2004 to 31% in 2017. Such reduction has created a source for new research to understand its contributing factors. The present study aims to identify such crucial factors which contributed in reducing the percentage of under-five stunting status of children from 2004 to 2017–18. METHODS: The study used data from the Bangladesh Demographic and Health Surveys (BDHS), conducted in 2004 and in 2017–18, focused on children under-5-years of age (U5). The sample sizes were n = 6375 children included in the 2004 survey and n = 8312 children included in the 2017–18 survey. Descriptive analysis and bivariate analysis were conducted for a general characterization of the samples. Logistic regression was used to find out the significant factors contributing to the prevalence of stunting among U5 children. Furthermore, the Fairlie decomposition technique was used to identify the crucial factors that contributed to the reduction of stunting. RESULTS: The prevalence of stunting among U5 children has declined significantly, from 49.8 to 30.7% between the two survey periods (2004 and 2017–18). Estimates of decomposition analysis show that overall, the selected variables explained 50.6% of the decrease in the prevalence of stunting. Mother’s characteristics such as age at first birth, education level, working status and BMI (body mass index) status were the primary contributors of this change. Father’s characteristics, such as education explained 9% of this change. CONCLUSION: The results of the study highlight the importance of increasing maternal education and reducing inter-household wealth inequality to improve nutritional status of U5 children. In order to achieve further reduction in stunting, among U5 children in Bangladesh, this paper calls for policymakers to develop effective programs to improve maternal education, raise parental awareness of parents regarding children’s height and weight, and aim to significantly reduce inter-household inequalities. BioMed Central 2021-11-16 /pmc/articles/PMC8594170/ /pubmed/34784935 http://dx.doi.org/10.1186/s12889-021-12178-6 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
Kumar, Pradeep
Rashmi, Rashmi
Muhammad, T.
Srivastava, Shobhit
Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title_full Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title_fullStr Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title_full_unstemmed Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title_short Factors contributing to the reduction in childhood stunting in Bangladesh: a pooled data analysis from the Bangladesh demographic and health surveys of 2004 and 2017–18
title_sort factors contributing to the reduction in childhood stunting in bangladesh: a pooled data analysis from the bangladesh demographic and health surveys of 2004 and 2017–18
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594170/
https://www.ncbi.nlm.nih.gov/pubmed/34784935
http://dx.doi.org/10.1186/s12889-021-12178-6
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