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

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>I</i> = 0.063, <i>p</i> < 0.001), depressive symptoms (<i>I</i> = 0.091, <i>p</i> < 0.001) and CAD symptoms (<i>I</i> = 0.082, <i>p</i> < 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.

Authors

Institutions

Publication Details

Journal
Cambridge Prisms Global Mental Health
Published
2025-12-22
DOI
https://doi.org/10.1017/gmh.2025.10121
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Satyajit Kundu, Md. Aslam Hossain, Md. Yeasin Arafat
Cambridge Prisms Global Mental Health
Maternal Mental Health During Pregnancy and Postpartum
article

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

Satyajit Kundu, Md. Aslam Hossain, Md. Yeasin Arafat
article en

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>I</i> = 0.063, <i>p</i> < 0.001), depressive symptoms (<i>I</i> = 0.091, <i>p</i> < 0.001) and CAD symptoms (<i>I</i> = 0.082, <i>p</i> < 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.

Cambridge Prisms Global Mental HealthVol. 13
Griffith University (AU), Islamic University (BD), University of Rajshahi (BD)
United States Agency for International Development
Gender equality
Openalex Percentile: Top 27%
Maternal Mental Health During Pregnancy and Postpartum
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.