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Journal of Public Health

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01-08-2021 | Malnutrition | Original Article

Analysing malnutrition status of urban children in Bangladesh: quantile regression modelling

Authors: Md. Momin Islam, Wasimul Bari

Published in: Journal of Public Health | Issue 4/2021

Abstract

Objective

This paper attempts to investigate the determinants of child malnutrition in Bangladesh by using a data set obtained from Urban Health Survey (UHS) 2013.

Study design and method

The UHS 2013 followed a stratified three-stage sampling procedure. Information on maternal and child characteristics was collected from the last child born preceding three years of survey. Robust quantile regression (QR) models have been used to find out potential factors responsible for child malnutrition of urban areas of Bangladesh using standardized stunting score as dependent variable.

Results

Place of residence (Domain), mother’s age at birth of index child, gender of the child, wealth index, education of mother, working status of mother, access to media, antenatal care, and place of delivery were found to have significant association with the malnutrition of children of urban areas of Bangladesh.

Conclusion

Some recommendations have been suggested to improve the nutrition status of children of urban areas of Bangladesh.

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Title: Analysing malnutrition status of urban children in Bangladesh: quantile regression modelling
Authors: Md. Momin Islam
Wasimul Bari
Publication date: 01-08-2021
Publisher: Springer Berlin Heidelberg
Keyword: Malnutrition
Published in: Journal of Public Health / Issue 4/2021
Print ISSN: 2198-1833
Electronic ISSN: 1613-2238
DOI: https://doi.org/10.1007/s10389-019-01191-0

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Analysing malnutrition status of urban children in Bangladesh: quantile regression modelling

Abstract

Objective

Study design and method

Results

Conclusion

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Results

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