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Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
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Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
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Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey

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Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey
Journal Article

Burden and Correlates of Child Undernutrition Based on the Composite Index of Anthropometric Failure (CIAF) in Bangladesh: Evidence From the 2019 Multiple Indicator Cluster Survey

2025
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Overview
Despite economic growth and poverty reduction, child undernutrition is still widespread in Bangladesh. This study aimed to evaluate both the burden and correlates of undernutrition among children under five in Bangladesh using the Composite Index of Anthropometric Failure (CIAF). Data were obtained from the 2019 Multiple Indicator Cluster Survey (MICS), comprising a weighted sample of 21,885 children collected through a nationally representative cross‐sectional survey between January and June 2019. The study applied a two‐stage stratified cluster sampling technique. To determine the factors influencing CIAF, a generalized linear mixed model (GLMM) was employed, accounting for clustering effects. The adjusted odds ratio (AOR) was derived, accompanied by its corresponding 95% CI, and a significance threshold of p < 0.05 was used to identify significant predictors of CIAF. The study revealed an overall CIAF prevalence of 37.2% (95% CI: 36.6%–37.9%). The prevalence of combined stunting and underweight was 11.9%, wasting and underweight 4.2%, and concurrent stunting, wasting and underweight 3.3%. Children aged 24–59 months, multiple births, birth size smaller than average, children of mothers with below primary education (AOR: 2.02; 95% CI: 1.59–2.57), received no ANC visits (AOR: 1.23; 95% CI: 1.04–1.46), children delivered at home, and children from lower socio‐economic families had significantly higher odds of undernutrition compared with other counterparts (AOR: 1.70; 95% CI: 1.37–2.11). In Bangladesh, more than one‐third of under‐five children suffer from undernutrition, hindering the potential of millions. Urgent policy action is needed to address undernutrition, particularly among socio‐economically disadvantaged children and those in the Sylhet division. Strengthening nutritional programs, maternal education, financial stability and healthcare access is crucial. The study recommends adopting CIAF as a national indicator to measure child undernutrition and guide comprehensive strategies to achieve the Sustainable Development Goals. Nearly 40% of under‐five children in Bangladesh face the risk of undernutrition, highlighting a major public health concern. Undernutrition affects both boys and girls equally, showing no significant gender disparity. Significant geographical disparities in undernutrition exist between urban and rural regions across all administrative divisions. Undernutrition is more prevalent among older‐age children, those from the poorest socio‐economic families, delivered at home, children whose mothers received no ANC visits, and those born with smaller birth sizes.

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