Urban-rural differences in the associated factors of severe under-5 child undernutrition based on the composite index of severe anthropometric failure (CISAF) in Bangladesh

Anik, Asibul Islam, Chowdhury, Mohammad Rocky Khan, Khan, Hafiz T.A. ORCID: https://orcid.org/0000-0002-1817-3730, Mondal, Md Nazrul Islam, Perera, Nirmala K. P. and Kader, Manzur (2021) Urban-rural differences in the associated factors of severe under-5 child undernutrition based on the composite index of severe anthropometric failure (CISAF) in Bangladesh. BMC Public Health, 21.

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Abstract

Introduction
Severe undernutrition among under-5 children is usually assessed using single or conventional indicators (i.e., severe stunting, severe wasting, and/or severe underweight). But these conventional indicators partly overlap, thus not providing a comprehensive estimate of the proportion of malnourished children in the population. Incorporating all these conventional nutritional indicators, the Composite Index of Severe Anthropometric Failure (CSIAF) provides six different undernutrition measurements and estimates the overall burden of severe undernutrition with a more comprehensive view. This study applied the CISAF indicators to investigate the prevalence of severe under-5 child undernutrition in Bangladesh and its associated socioeconomic factors in the rural-urban context.

Methods
This study extracted the children dataset from the 2017–18 Bangladesh Demographic Health Survey (BDHS), and the data of 7661 children aged under-5 were used for further analyses. CISAF was used to define severe undernutrition by aggregating conventional nutritional indicators. Bivariate analysis was applied to examine the proportional differences of variables between non-severe undernutrition and severe undernutrition group. The potential associated socioeconomic factors for severe undernutrition were identified using the adjusted model of logistic regression analysis.

Results
The overall prevalence of severe undernutrition measured by CISAF among the children under-5 was 11.0% in Bangladesh (rural 11.5% vs urban 9.6%). The significant associated socioeconomic factors of severe undernutrition in rural areas were children born with small birth weight (AOR: 2.84), children from poorest households (AOR: 2.44), and children aged < 36 months, and children of uneducated mothers (AOR: 2.15). Similarly, in urban areas, factors like- children with small birth weight (AOR: 3.99), children of uneducated parents (AOR: 2.34), poorest households (APR: 2.40), underweight mothers (AOR: 1.58), mothers without postnatal care (AOR: 2.13), and children’s birth order ≥4 (AOR: 1.75), showed positive and significant association with severe under-5 undernutrition.

Conclusion
Severe undernutrition among the under-5 children dominates in Bangladesh, especially in rural areas and the poorest urban families. More research should be conducted using such composite indices (like- CISAF) to depict the comprehensive scenario of severe undernutrition among the under-5 children and to address multi-sectoral intervening programs for eradicating severe child undernutrition.

Item Type: Article
Identifier: 10.1186/s12889-021-12038-3
Additional Information: The following article [Anik, A.I., Chowdhury, M.R.K., Khan, H.T.A. et al. Urban-rural differences in the associated factors of severe under-5 child undernutrition based on the composite index of severe anthropometric failure (CISAF) in Bangladesh. BMC Public Health 21, 2147 (2021). https://doi.org/10.1186/s12889-021-12038-3] is published under the terms of the Creative Commons Attribution 4.0 license (https://creativecommons.org/licenses/by/4.0) and appears in the journal BMC Public Health. DOI: 10.1186/s12889-021-12038-3
Keywords: CIAF, CISAF, severe child undernutrition, maternal & child health, urban-rural disparity, Bangladesh
Subjects: Medicine and health > Health promotion and public health
Related URLs:
Depositing User: Hafiz T.A. Khan
Date Deposited: 16 Oct 2021 06:24
Last Modified: 30 Aug 2024 08:45
URI: https://repository.uwl.ac.uk/id/eprint/8348

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