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

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.

Authors

Institutions

Publication Details

Journal
PLOS mental health.
Published
2025-11-03
DOI
https://doi.org/10.1371/journal.pmen.0000460
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Dongmei Zhou, Jamie T. Mullins, Deepshikha Batheja, Srishti Goel et al.
PLOS mental health.
Workplace Health and Well-being
article

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

Dongmei Zhou, Jamie T. Mullins, Deepshikha Batheja, Srishti Goel, R. Bhagawati, Sarojini Hirshleifer
article en

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.

PLOS mental health.Vol. 2(11)
University of California, Riverside (US), Indian School of Business (IN), Shanghai Jiao Tong University (CN), University of Massachusetts Amherst (US), Karnataka Health Promotion Trust (IN)
Openalex Percentile: Top 51%
Workplace Health and Well-being
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.