OBJECTIVES

This paper examines the associations of socio-economic and demographic correlates with malnutrition among women and investigates education and wealth-related inequalities in malnutrition among women by region.

DESIGN

We utilise a two-level mixed-effects logistic regression model to evaluate the associations and employ the concentration, Wagstaff and Erreygers's correction indices to measure socio-economic inequalities in malnutrition among women.

SETTING

Bangladesh Demographic and Health Survey data.

PARTICIPANTS

Non-pregnant women aged 15-49 years.

RESULTS

We find evidence of a significant cluster effect in the data. Women's age, marital status, total children ever born, education level, husband's/partner's education level, residence and wealth index appear to be significantly associated with women underweight and overweight/obesity status. Underweight status is higher among less-educated women and women from poor households, whereas overweight/obesity is more concentrated among higher educated women and women from wealthy households. The southwestern region of the country demonstrates lower education and wealth-related inequalities in malnutrition among women. In contrast, the central and the northeastern areas apparently experience the highest education and wealth-related inequalities in malnutrition among women. The regional differences in predicted probabilities of being underweight shrink at higher education level and the richest quintile, whereas the differences in overweight/obese diminish at the primary education level and lower quintile households.

CONCLUSIONS

Our findings strengthen the evidence base for effective regional policy interventions to mitigate education and wealth-related inequalities in malnutrition among women. There is a need for developing regional awareness programmes and establishing regional monitoring cells to ensure proper health and nutrition facilities in underprivileged regions.