A structural equation modelling to explore the determinants of mental health disorders among reproductive-aged women in Nepal: a nation-wide cross-sectional survey

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Rahman, MA
Tohan, MM
Zaman, S
Islam, MA
Rahman, MS
Howlader, MH
Kundu, S
Griffith University Author(s)
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2024
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Abstract

Background Similar to other countries, reproductive-age women in Nepal frequently encounter diverse mental disorders, yet they receive inadequate screening and attention. This research seeks to address this gap by conducting a comprehensive examination of the prevalence and factors associated with mental disorders of reproductive-age women in Nepal.

Methods This study used the nationally representative Nepal Demographic and Health Survey 2022 dataset to examine the association between mental disorders and potential confounders. Screening tools for Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) were employed, and descriptive and inferential statistics, including linear regression and structural equation modeling, were utilized in the analysis.

Results The study found that 22% of Nepalese women aged 15 to 49 reported anxiety symptoms, while 5% reported depressive symptoms. The Structural Equation Modeling (SEM) reveals that anxiety had the most significant positive effect on depression (β = 0.683, p < 0.001), followed by emotional violence (β = 0.139, p < 0.001). Marital status (β = 0.072, p < 0.001) and the presence of genital discharge (β = 0.084, p < 0.001) or ulcer (β = 0.058, p < 0.001) in the last 12 months were also associated with higher levels of depression. Conversely, self-rated health status (β=-0.121, p < 0.001) was negatively associated with depression, indicating that better-perceived health was linked to lower levels of depression.

Conclusion Although the prevalence of anxiety symptoms is higher than that of depression, there is a positive relationship between these two. Consequently, it is crucial to address the identified factors contributing to anxiety and depression in this population group through behavioral and policy interventions to enhance the mental well-being of reproductive-age women.

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BMC Psychiatry

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24

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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Psychiatry (incl. psychotherapy)

Clinical sciences

Epidemiology

Clinical and health psychology

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Rahman, MA; Tohan, MM; Zaman, S; Islam, MA; Rahman, MS; Howlader, MH; Kundu, S, A structural equation modelling to explore the determinants of mental health disorders among reproductive-aged women in Nepal: a nation-wide cross-sectional survey, BMC Psychiatry, 2024, 24, pp. 867

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