Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019

<h4>Introduction</h4> Early childhood is a vital part of human life because most of the brain developments occur in this particular period. Early childhood disability is a significant global public health burden, which can negatively impact the children’s quality of life and their overal...

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Autores principales:	Shilpi Rani Saha, Md. Mobarak Hossain Khan
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/259afc9363a94d27a8220ff338ba5087
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spelling	oai:doaj.org-article:259afc9363a94d27a8220ff338ba50872021-11-11T07:14:38ZRisk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 20191932-6203https://doaj.org/article/259afc9363a94d27a8220ff338ba50872021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568190/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Introduction</h4> Early childhood is a vital part of human life because most of the brain developments occur in this particular period. Early childhood disability is a significant global public health burden, which can negatively impact the children’s quality of life and their overall productivity. It is also a major social and economic problem in Bangladesh. Therefore, it is very important to understand the associated factors for early childhood disability, which may help disability prevention, better management and policy formulation. The main objective of this study is to investigate the child, family, and community-level factors associated with early childhood disability in Bangladesh. <h4>Methods</h4> A cross sectional nationally representative data was derived from Multiple Indicator Cluster Survey (MICS), 2019. A total of 14,072 Bangladeshi children under five years of age were selected for this study. Various types of statistical analysis (simple, bivariate, multivariable) were performed. To assess the bivariate relationship between chosen categorical variables (independent) and early childhood disability (dependent), a chi-square test was used. The multivariable ordinal logistic regression was used to find out the association of disability with child, family, and community-level factors. <h4>Results</h4> The results show that 2.0% of the children have at least one disability and 0.8% have more disabilities. Several factors namely not attending in early childhood education [Odds Ratio (OR) = 0.65; 95% confidence interval (CI) = 0.13–1.17 Ρ = 0.01], having mother’s functional difficulty (OR = 1.23; 95% (CI) = 0.58–1.88 Ρ <0.001), unhappy mother’s life (OR = 0.85; 95% CI = 0.30–1.39 Ρ <0.001), parents without internet access (OR = 0.68; 95% CI = 0.06–1.29 Ρ = 0.03) and parents using mobile phone (OR = 0.52; 95% CI = 0.09–0.95 Ρ = 0.02) were found to be important for early childhood disability in Bangladesh. <h4>Conclusion</h4> Early childhood disability is still neglected in Bangladesh and further epidemiological studies are recommended. The findings of this study may help policy makers and relevant stakeholders to develop interventions for reducing the overall burden of early childhood disability.Shilpi Rani SahaMd. Mobarak Hossain KhanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shilpi Rani Saha Md. Mobarak Hossain Khan Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
description	<h4>Introduction</h4> Early childhood is a vital part of human life because most of the brain developments occur in this particular period. Early childhood disability is a significant global public health burden, which can negatively impact the children’s quality of life and their overall productivity. It is also a major social and economic problem in Bangladesh. Therefore, it is very important to understand the associated factors for early childhood disability, which may help disability prevention, better management and policy formulation. The main objective of this study is to investigate the child, family, and community-level factors associated with early childhood disability in Bangladesh. <h4>Methods</h4> A cross sectional nationally representative data was derived from Multiple Indicator Cluster Survey (MICS), 2019. A total of 14,072 Bangladeshi children under five years of age were selected for this study. Various types of statistical analysis (simple, bivariate, multivariable) were performed. To assess the bivariate relationship between chosen categorical variables (independent) and early childhood disability (dependent), a chi-square test was used. The multivariable ordinal logistic regression was used to find out the association of disability with child, family, and community-level factors. <h4>Results</h4> The results show that 2.0% of the children have at least one disability and 0.8% have more disabilities. Several factors namely not attending in early childhood education [Odds Ratio (OR) = 0.65; 95% confidence interval (CI) = 0.13–1.17 Ρ = 0.01], having mother’s functional difficulty (OR = 1.23; 95% (CI) = 0.58–1.88 Ρ <0.001), unhappy mother’s life (OR = 0.85; 95% CI = 0.30–1.39 Ρ <0.001), parents without internet access (OR = 0.68; 95% CI = 0.06–1.29 Ρ = 0.03) and parents using mobile phone (OR = 0.52; 95% CI = 0.09–0.95 Ρ = 0.02) were found to be important for early childhood disability in Bangladesh. <h4>Conclusion</h4> Early childhood disability is still neglected in Bangladesh and further epidemiological studies are recommended. The findings of this study may help policy makers and relevant stakeholders to develop interventions for reducing the overall burden of early childhood disability.
format	article
author	Shilpi Rani Saha Md. Mobarak Hossain Khan
author_facet	Shilpi Rani Saha Md. Mobarak Hossain Khan
author_sort	Shilpi Rani Saha
title	Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
title_short	Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
title_full	Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
title_fullStr	Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
title_full_unstemmed	Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019
title_sort	risk factors for early childhood disability in bangladesh: evidence from multiple indicator cluster survey 2019
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/259afc9363a94d27a8220ff338ba5087
work_keys_str_mv	AT shilpiranisaha riskfactorsforearlychildhooddisabilityinbangladeshevidencefrommultipleindicatorclustersurvey2019 AT mdmobarakhossainkhan riskfactorsforearlychildhooddisabilityinbangladeshevidencefrommultipleindicatorclustersurvey2019
_version_	1718439382729359360

Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019

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