Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey

Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrit...

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Autores principales:	Oluwafemi Samson Balogun, Atta Muhammad Asif, Muhammad Akbar, Christophe Chesneau, Farrukh Jamal
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	child malnutrition CIAF multivariate logistic regression mother’s education socioeconomic status MCA Pediatrics RJ1-570
Acceso en línea:	https://doaj.org/article/3b1ab450705f4e608f4b0c4e91e89b6d
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spelling	oai:doaj.org-article:3b1ab450705f4e608f4b0c4e91e89b6d2021-11-25T17:14:30ZPrevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey10.3390/children81110102227-9067https://doaj.org/article/3b1ab450705f4e608f4b0c4e91e89b6d2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9067/8/11/1010https://doaj.org/toc/2227-9067Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the whole aggregate burden of malnutrition. The data were extracted from the Pakistan Demographic and Health Survey 2012–2013. Mothers’ education and socioeconomic statuses (SES) were assessed as important factors in malnutrition. Chi-squared analysis was used to check the bivariate association, and multiple logistic regression was used to identify the significant correlates of child malnutrition. Moreover, multiple correspondence analysis (MCA) was applied to strengthen the use of CIAF as an outcome variable. The study looked at 3071 children under the age of five, with 52.2% of them falling into the CIAF. Children of educated mothers had 43% fewer odds of being malnourished (OR (Odd Ratio) = 0.57, 95% CI (Confidence Interval) = 0.44–0.73). Additionally, a decreasing trend in malnutrition was found with increasing SES. There is a need to improve maternal education. Such programs focusing on increasing women’s autonomy in making home decisions should be established. Furthermore, long-term interventions for improving home SES and effective nutritional methods should be examined. For policymakers, the use of CIAF is suggested since it provides an estimate of the entire burden of undernutrition.Oluwafemi Samson BalogunAtta Muhammad AsifMuhammad AkbarChristophe ChesneauFarrukh JamalMDPI AGarticlechild malnutritionCIAFmultivariate logistic regressionmother’s educationsocioeconomic statusMCAPediatricsRJ1-570ENChildren, Vol 8, Iss 1010, p 1010 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	child malnutrition CIAF multivariate logistic regression mother’s education socioeconomic status MCA Pediatrics RJ1-570
spellingShingle	child malnutrition CIAF multivariate logistic regression mother’s education socioeconomic status MCA Pediatrics RJ1-570 Oluwafemi Samson Balogun Atta Muhammad Asif Muhammad Akbar Christophe Chesneau Farrukh Jamal Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
description	Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the whole aggregate burden of malnutrition. The data were extracted from the Pakistan Demographic and Health Survey 2012–2013. Mothers’ education and socioeconomic statuses (SES) were assessed as important factors in malnutrition. Chi-squared analysis was used to check the bivariate association, and multiple logistic regression was used to identify the significant correlates of child malnutrition. Moreover, multiple correspondence analysis (MCA) was applied to strengthen the use of CIAF as an outcome variable. The study looked at 3071 children under the age of five, with 52.2% of them falling into the CIAF. Children of educated mothers had 43% fewer odds of being malnourished (OR (Odd Ratio) = 0.57, 95% CI (Confidence Interval) = 0.44–0.73). Additionally, a decreasing trend in malnutrition was found with increasing SES. There is a need to improve maternal education. Such programs focusing on increasing women’s autonomy in making home decisions should be established. Furthermore, long-term interventions for improving home SES and effective nutritional methods should be examined. For policymakers, the use of CIAF is suggested since it provides an estimate of the entire burden of undernutrition.
format	article
author	Oluwafemi Samson Balogun Atta Muhammad Asif Muhammad Akbar Christophe Chesneau Farrukh Jamal
author_facet	Oluwafemi Samson Balogun Atta Muhammad Asif Muhammad Akbar Christophe Chesneau Farrukh Jamal
author_sort	Oluwafemi Samson Balogun
title	Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
title_short	Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
title_full	Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
title_fullStr	Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
title_full_unstemmed	Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey
title_sort	prevalence and potential determinants of aggregate anthropometric failure among pakistani children: findings from a community health survey
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3b1ab450705f4e608f4b0c4e91e89b6d
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Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey

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