Evidence map›Paper›PMID 41662114›Full record

ArticlePLOS mental health2025

Incidence of depression and anxiety among working men and women: Evidence from a cross-sectional survey in Indian call centers.

Srishti Goel, Rishiraj Bhagawati, Dong Zhou, Jamie Mullins, Sarojini Hirshleifer, Deepshikha Batheja

Abstract read
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Article in PLOS mental health, 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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1 · What the graph read from it

What it found

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2 · The registry

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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

6 authors.

Srishti GoelEconomics, One Health Trust, Bangalore, Karnataka, India.
Rishiraj BhagawatiDevelopment Studies, One Health Trust, Bangalore, Karnataka, India.
Dong ZhouDepartment of Cultural Industry and Management, Shanghai Jiao Tong University, Shanghai, China.
Jamie MullinsDepartment of Resource Economics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
Sarojini HirshleiferEconomics Department, University of California, Riverside, California, United States of America.
Deepshikha BathejaEconomics, One Health Trust, Bangalore, Karnataka, India.ORCID https://orcid.org/0000-0002-4991-2938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employee mental well-being, supported by a positive work environment is crucial to enhancing firm productivity and sustaining long-term growth. However, research on the mental well-being of working populations in developing countries remains limited. This study examines the mental health status and key predictors of depression and anxiety in working men and women in India, one of the world's most populous countries. For this, we collected quantitative data from 2,698 individuals using self-administered online surveys. We used bivariate and multivariate regressions to analyze the predictors of depression and anxiety in working men and women. We also used Ordinary Least Squares (OLS) method to assess the association between gender and depression and anxiety. Finally, we assessed the role of personal stressors, work stressors, use of social media and siblings to understand the gender differences in anxiety and depression using OLS regression methods. Around 23% of female and 17% of male workers in our sample reported symptoms of either depression or anxiety, or both. Key predictors of mental health issues of the working population in the call centers included younger age, financial difficulties and, conflicts with supervisors, with additional mental health predictors of experience of domestic violence, unmarried status, and lack of siblings for women. Our regression results suggest that women in our sample exhibited 0.13 standard deviations higher depression and 0.26 standard deviations higher anxiety than men. Furthermore, women experiencing high personal and work-related stress, along with frequent social media use, reported the highest levels of depression and anxiety. Lastly, we find that relative to men without siblings, men with siblings report lower depression levels, and women without siblings report higher anxiety. These insights underscore the need for targeted interventions to support the mental health of working populations, particularly among women in developing contexts.

Identifiers

PMID41662114
PMCPMC12798410

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