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Journal of Public Health

Erschienen in:

08.01.2020 | Original Article

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

verfasst von: Md. Momin Islam, Wasimul Bari

Erschienen in: Journal of Public Health | Ausgabe 4/2021

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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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Titel: Analysing malnutrition status of urban children in Bangladesh: quantile regression modelling
verfasst von: Md. Momin Islam
Wasimul Bari
Publikationsdatum: 08.01.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Public Health / Ausgabe 4/2021
Print ISSN: 2198-1833
Elektronische ISSN: 1613-2238
DOI: https://doi.org/10.1007/s10389-019-01191-0

Springer Medizin

Abstract

Objective

Study design and method

Results

Conclusion

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