Spatial patterns and determinants of anxiety, depressive symptoms and their co-occurrence among currently married women of reproductive age in Bangladesh

TL;DR

This study examines anxiety, depression, and their co-occurrence among married women in Bangladesh, identifying regional hotspots and risk factors.

Contribution

The study provides new insights into the spatial patterns and determinants of mental health symptoms among married women in Bangladesh.

Findings

Anxiety, depressive, and co-occurring symptoms are clustered in Rangpur, Sylhet, and Chittagong.

Higher wealth, intimate partner violence, and unemployment are linked to co-occurring symptoms.

Age, occupation, and reproductive history are significant risk factors for anxiety and depression.

Abstract

Mental health symptoms pose a significant vulnerability to stressful life events among currently married women, adversely impacting their overall well-being and quality of life. This study explores the spatial patterns and factors associated with anxiety, depressive symptoms and the co-occurrence of both symptoms among currently married women of reproductive age in Bangladesh. This study utilised data from 13,372 (weighted) currently married women aged 15–49 years in the Bangladesh Demographic and Health Survey (BDHS) 2022, which used a cross-sectional design. Multivariable logistic regression models determined the associated factors. Additionally, spatial distribution and hotspot analysis were conducted using ArcGIS version 10.8. The weighted prevalence of moderate to severe anxiety, depressive symptoms and co-occurrence of anxiety and depressive (CAD) symptoms among currently married women of reproductive age was 4.1% (95% confidence interval [CI]: 3.8%, 4.5%), 4.8% (95% CI: 4.7%, 5.4%) and 2.2% (95% CI: 2.1%, 2.6%), respectively. Clustering of anxiety symptoms (Moran’s I = 0.063, p < 0.001), depressive symptoms (I = 0.091, p < 0.001) and CAD symptoms (I = 0.082, p < 0.001) were observed, with hotspots in Rangpur, Sylhet and Chittagong regions. Logistics regression analysis shows that currently married women who were living in the Barishal, Khulna, Rangpur and Sylhet regions, who belong to households with a higher wealth index, who experienced high levels of intimate partner violence (IPV), have completed high school, who are sexually inactive and whose husbands are unemployed, were more likely to experience CAD symptoms. Additionally, currently married women of reproductive age, whose age was 25–34 years, who are labourers, whose pregnancies are terminated and who have ≥5 children ever born, are at a higher risk of having anxiety symptoms. Besides, currently married women aged 25–34 years and 35–44 years, who are underweight, were more likely to have depressive symptoms. The findings highlight a significant regional disparity in the burden of anxiety, depressive and CAD symptoms among currently married women of reproductive age in Bangladesh. These findings can help design site-specific programmes and actions for women in the hot spot areas of Rangpur, Sylhet and Chittagong.

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