# Sociodemographic Factors Attributed to the Double Burden of Malnutrition in Urban Bangladesh

## TL;DR

This study finds that many urban Bangladeshi children and adolescents face both undernutrition and overweight, with younger children and lower-income families being most affected.

## Contribution

The study identifies sociodemographic factors linked to the double burden of malnutrition in urban Bangladesh using national survey data.

## Key findings

- DBM prevalence was 45.2% at the population level and 16.6% at the household level.
- Younger children had 56% higher odds of DBM than adolescents at the population level.
- Children from lower-middle and middle SES households had higher DBM odds at the household level.

## Abstract

Background: There is a high prevalence of the double burden of malnutrition (DBM) in children and adolescents in South Asia. This research aims to explore which sociodemographic factors are attributed to DBM in urban Bangladesh, a South Asian country. Methods: We conducted secondary analyses of data obtained from the national survey of childhood obesity among school-age children in Bangladesh (2012–2013). The sample includes 4140 children (aged 5–9 years) and adolescents (10–19 years) randomly recruited from the city corporation (urban) areas in all administrative divisions. At the population level, DBM was defined as the coexistence of underweight and overweight/obesity among children and adolescents. At the household level, DBM was defined as maternal underweight co-occurring with child overweight/obesity within the same mother-child dyad. A multivariable logistic regression model was fitted to estimate odds ratios and 95% confidence intervals. A rapid policy review was conducted to understand the implication of the results obtained from the analysis. Results: The prevalence of DBM at the population level was 45.2% (95% CI: 42.5–45.5%), ranging between 40.0% and 47.6% across seven divisions (p < 0.001). At the household level, DBM prevalence was 16.6% (95% CI: 14.7–18.7%), ranging between 14.0% and 19.0% across seven divisions (p = 0.015). At the population level, DBM odds were 56% higher among younger children (5–9 years) than adolescents (10–19 years) (OR: 1.56; 95% CI: 1.37–1.78), and this association was found in four divisions. At the household level (mother-child pairs), DBM odds were 64% higher in younger children than adolescents (OR: 1.64; 95% CI:1.38–1.95); and higher in children living at a lower-middle socioeconomic status (SES) and middle SES, than upper SES. The policy review revealed that Bangladesh has made substantial commitments to improve nutrition; however, reference to DBM is absent from policy documents. Conclusions: The prevalence of DBM is high among children in urban areas in Bangladesh, disproportionately affecting younger children and households with low SES. In the current policy space, Bangladesh should revise national nutrition frameworks to recognize DBM as a public health priority and implement region-sensitive strategies for preventing and reducing malnutrition among school-aged children.