AUTHOR=Chowdhury Mohammad Rocky Khan , Khan Hafiz T. A. , Rashid Mamunur , Mondal Md. Nazrul Islam , Bornee Farzana Akhter , Billah Baki TITLE=Prevalence and correlates of severe under-5 child anthropometric failure measured by the composite index of severe anthropometric failure in Bangladesh JOURNAL=Frontiers in Pediatrics VOLUME=10 YEAR=2022 URL=https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2022.978568 DOI=10.3389/fped.2022.978568 ISSN=2296-2360 ABSTRACT=Background

Although Bangladesh has made noticeable progress in reducing the prevalence of stunting, wasting, and being underweight among under-5 children, it has not been very successful in reducing overall severe anthropometric failure (SAF) among them. Therefore, the study aims to identify the prevalence and risk factors of SAF measured by the Composite Index of Severe Anthropometric Failure (CISAF) among under-5 children in Bangladesh.

Methods

Data was drawn from a cross-sectional Bangladesh Demographic Health Survey (BDHS) conducted in 2017–2018. A bivariate analysis (Chi-square test) and logistic regression analysis were used to estimate the unadjusted, and age and sex-adjusted prevalence of SAF. Odds ratio (OR) and confidence interval (CI) were assessed using logistic regression analysis to identify the various risk factor of SAF.

Results

The overall adjusted prevalence of under-5 child SAF was 11.3% (95% CI: 10.6–12.0) and it was highly prevalent among children of uneducated mothers (adjusted, 22%, 95% CI: 17.3–26.8). The key factors associated with SAF were children in the age group 24–35 months (OR: 2.43, 95% CI: 1.83–3.23), children born with low birth weight (OR: 3.14, 95% CI: 2.24–4.97), children of underweight mothers (OR: 1.82, 95% CI: 1.44–2.29), children of parents with no formal education (OR: 2.28, 95% CI: 1.56–3.31) and children from lower socio-economic status (OR: 2.25, 95% CI: 1.55–3.26).

Conclusion

Prioritizing and ensuring context-specific interventions addressing individual, community, public policy, and environment level risk factors from policy level to implementation to reduce structural and intermediary determinants of under-5 SAF.