Evidence map›Paper›PMID 41361795›Full record

ArticleAnnals of general psychiatry2025

Structural equation modeling of associated factors and regional variations in major depressive disorders and generalized anxiety disorders among reproductive-age Bangladeshi women: a nationally representative study.

Passakorn Suanrueang, Karl Peltzer

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Article in Annals of general psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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2 authors.

Passakorn SuanrueangDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand. passakorn27sr@gmail.com.ORCID http://orcid.org/0000-0002-1345-068X
Karl PeltzerDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-5980-0876

Funding

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6 · The paper itself

Abstract

backgroundThe study's objective was to (1) assess the prevalence among women and associated factors of major depressive disorder (MDD) and generalized anxiety disorder (GAD); (2) identify associated factors and regional variations in the relationship between GAD-7 and PHQ-9 scores; and (3) yield insights to support and strengthen mental health policy and service delivery in Bangladesh.

methodsData from 19,987 women (aged 15-49 years) who participated in the 2022 Bangladesh Demographic and Health Survey and completed the mental health module were analyzed. Descriptive statistics assessed MDD/GAD prevalence. SEM analyzed factors associated with psychological distress, and regional variations were examined via linear regression.

resultsAmong 2388 Bangladeshi women aged 15-49 who had MDD and/or GAD, who provided complete responses for all related variables, sociodemographic factors, resource-related determinants, and negative life events were significantly associated with higher levels of depression and anxiety. The path analysis model indicated that sociodemographic factors (β = 0.69), resource-related factors (β = 0.19), and negative life events (β = 0.05) contributed to depression (PHQ score: β = 0.81, p < 0.001) and anxiety (GAD score: β = 0.84, p < 0.001). Age (β = 0.21, p < 0.001) and marital status (β = 0.20, p < 0.001) were the strongest sociodemographic factors associated with psychological distress, while education (β = 0.41, p < 0.001) and wealth status (β = 0.41, p < 0.001) were the most important resource-related factors. The model demonstrated an acceptable to good fit (Chi-square = 240.67, df = 63, RMSEA = 0.050, GFI = 0.967, AGFI = 0.952, and CFI = 0.826). Regionally, Sylhet City indicated the strongest relationship between GAD and MDD (R

conclusionPath analysis highlighted a multidimensional approach to understanding psychological distress. Sociodemographic, resource factors, and negative life events as determinants collectively serve as associated factors of psychological distress among Bangladeshi females, highlighting the need for culturally tailored interventions with early anxiety screening and coping skills training to improve mental health outcomes.

Indexed as

BangladeshGeneralized anxiety disorderMajor depressive disorderNational surveyWomen

Identifiers

PMID41361795
PMCPMC12797580

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