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Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data

BACKGROUND: Malnutrition is considered a major public health challenge and is associated with a range of health issues, including childhood stunting. Stunting is a reliable and well-recognized indicator of chronic childhood malnutrition. The objective of this study is to determine the risk factors a...

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Autores principales: Chowdhury, Tuhinur Rahman, Chakrabarty, Sayan, Rakib, Muntaha, Winn, Stephen, Bennie, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028076/
https://www.ncbi.nlm.nih.gov/pubmed/35449114
http://dx.doi.org/10.1186/s13690-022-00870-x
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author Chowdhury, Tuhinur Rahman
Chakrabarty, Sayan
Rakib, Muntaha
Winn, Stephen
Bennie, Jason
author_facet Chowdhury, Tuhinur Rahman
Chakrabarty, Sayan
Rakib, Muntaha
Winn, Stephen
Bennie, Jason
author_sort Chowdhury, Tuhinur Rahman
collection PubMed
description BACKGROUND: Malnutrition is considered a major public health challenge and is associated with a range of health issues, including childhood stunting. Stunting is a reliable and well-recognized indicator of chronic childhood malnutrition. The objective of this study is to determine the risk factors associated with stunting among 17,490 children below five years of age in Bangladesh. METHODS: Correlates of child stunting were examined using data generated by a cross-sectional cluster survey conducted in Bangladesh in 2019. The data includes a total of 17,490 children (aged < 5 years) from 64,400 households. Multiple logistic regressions were used to determine the risk factors associated with child stunting and severe stunting. RESULTS: The prevalence of stunting and severe stunting for children was 25.96% and 7.97%, respectively. Children aged 24 to < 36 months [Odds Ratio (OR) = 2.65, 95% CI: 2.30, 3.05] and aged 36 to < 48 months [OR = 2.33, 95% CI: 2.02, 2.69] had more risk of stunting compared to the children aged < 6 months. Children from Sylhet division had the greatest risk of stunting of all the eight divisions [OR = 1.26, 95% CI: 1.09, 1.46]. Children of secondary complete or higher educated mothers were less likely to develop stunting [OR = 0.66, 95% CI: 0.56, 0.79] compared with children of mothers having no education at all. Similarly, children of secondary complete or higher educated father [OR = 0.74, 95% CI: 0.63, 0.87] were found to have lower risk of stunting compared with children whose father hadn’t any education. Substantially lower risk of stunting was observed among children whose mother and father both completed secondary education or above [OR = 0.59, 95% CI: 0.52, 0.69]. Children from the richest households [OR = 0.49, 95% CI: 0.41, 0.58] had 51% lower odds of stunting compared to children from the poorest households. CONCLUSIONS: After controlling for socioeconomic and demographic factors, parental education and household position in the wealth index were found to be the most important determinants of child stunting in Bangladesh.
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spelling pubmed-90280762022-04-23 Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data Chowdhury, Tuhinur Rahman Chakrabarty, Sayan Rakib, Muntaha Winn, Stephen Bennie, Jason Arch Public Health Research BACKGROUND: Malnutrition is considered a major public health challenge and is associated with a range of health issues, including childhood stunting. Stunting is a reliable and well-recognized indicator of chronic childhood malnutrition. The objective of this study is to determine the risk factors associated with stunting among 17,490 children below five years of age in Bangladesh. METHODS: Correlates of child stunting were examined using data generated by a cross-sectional cluster survey conducted in Bangladesh in 2019. The data includes a total of 17,490 children (aged < 5 years) from 64,400 households. Multiple logistic regressions were used to determine the risk factors associated with child stunting and severe stunting. RESULTS: The prevalence of stunting and severe stunting for children was 25.96% and 7.97%, respectively. Children aged 24 to < 36 months [Odds Ratio (OR) = 2.65, 95% CI: 2.30, 3.05] and aged 36 to < 48 months [OR = 2.33, 95% CI: 2.02, 2.69] had more risk of stunting compared to the children aged < 6 months. Children from Sylhet division had the greatest risk of stunting of all the eight divisions [OR = 1.26, 95% CI: 1.09, 1.46]. Children of secondary complete or higher educated mothers were less likely to develop stunting [OR = 0.66, 95% CI: 0.56, 0.79] compared with children of mothers having no education at all. Similarly, children of secondary complete or higher educated father [OR = 0.74, 95% CI: 0.63, 0.87] were found to have lower risk of stunting compared with children whose father hadn’t any education. Substantially lower risk of stunting was observed among children whose mother and father both completed secondary education or above [OR = 0.59, 95% CI: 0.52, 0.69]. Children from the richest households [OR = 0.49, 95% CI: 0.41, 0.58] had 51% lower odds of stunting compared to children from the poorest households. CONCLUSIONS: After controlling for socioeconomic and demographic factors, parental education and household position in the wealth index were found to be the most important determinants of child stunting in Bangladesh. BioMed Central 2022-04-21 /pmc/articles/PMC9028076/ /pubmed/35449114 http://dx.doi.org/10.1186/s13690-022-00870-x Text en © The Author(s) 2022 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
Chowdhury, Tuhinur Rahman
Chakrabarty, Sayan
Rakib, Muntaha
Winn, Stephen
Bennie, Jason
Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title_full Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title_fullStr Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title_full_unstemmed Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title_short Risk factors for child stunting in Bangladesh: an analysis using MICS 2019 data
title_sort risk factors for child stunting in bangladesh: an analysis using mics 2019 data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028076/
https://www.ncbi.nlm.nih.gov/pubmed/35449114
http://dx.doi.org/10.1186/s13690-022-00870-x
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