Evidence map›Paper›PMID 42897370›Full record

ArticleDiscover mental health2026

Assessing the associated factors of anxiety and depression among the adult population to harness the demographic dividend in Nepal using the socio-ecological model.

Om Chandra Thasineku, Yogendra Bahadur Gurung, Dhanendra Veer Shakya, Sudesh Pandit

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Article in Discover mental health, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Om Chandra ThasinekuResearch Centre for Educational Innovation and Development (CERID), Tribhuvan University, Kathmandu, Nepal.ORCID http://orcid.org/0009-0002-3621-3051
Yogendra Bahadur GurungTribhuvan University, Kathmandu, Nepal.ORCID http://orcid.org/0000-0002-7233-5104
Dhanendra Veer ShakyaCentral Department of Population Studies, Tribhuvan University, Kathmandu, Nepal.ORCID http://orcid.org/0009-0001-8334-1075
Sudesh PanditTribhuvan University, Prithvi Narayan Campus, Pokhara, Nepal. sudesh.pandit@prnc.tu.edu.np.ORCID https://orcid.org/0009-0006-1457-9107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnxiety and depression are major global public health concerns and a growing mental health burden among working-age adults, potentially hindering low- and middle-income countries from realizing the demographic dividend. This study aims to examine associated factors with anxiety and depression among adults using a socio-ecological model.

methodsThis study used secondary data from the Demographic and Health Survey (DHS) 2022 of Nepal among adults aged 15-49 years. Anxiety and depression were measured using GAD-7 and PHQ-9 and categorized as binary outcomes. Multivariable binary logistic regression was performed using complex sample analysis, accounting for stratification, clustering, and sampling weights to identify associated factors.

resultsThe prevalence of anxiety and depression was higher among women (21.9% and 21.1%, respectively) than among men (11.3% and 11.1%, respectively). Among women, higher odds of anxiety and depression were observed among widowed/divorced/separated (AOR = 1.813 for anxiety;1.850 for depression), smokers (AOR = 1.615;1.528), those in the poorer wealth group (AOR = 2.033;1.848), and residents of Karnali province (AOR = 1.831;1.667) compared to their respective reference groups. Similarly, among men, higher odds were found among widowed/divorced/separated (AOR = 3.980;2.844), smokers (AOR = 1.583;1.354), those in the poorer wealth group (AOR = 2.094;2.280), and residents of Karnali province (AOR = 4.190;6.079), compared to their respective reference groups, respectively.

conclusionsHarnessing demographic dividend requires prioritizing mental health through a comprehensive multisectoral approach that addresses not only existing individual-level anxiety and depression but also underlying interpersonal, community and societal factors such as structural disparities, economic inequalities, and uneven development across regions through coordinated actions across health, education, employment, social protection, culture-sensitive, and region-specific responsive strategies.

Indexed as

AdultsAnxietyDemographic dividendDepressionMental healthNepal

Identifiers

PMID42897370
PMCPMC13680341

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.