EBSCO Logo
Connecting you to content on EBSCOhost
Results
Title

Depression, Anxiety and Stress Symptoms among Afghan Healthcare Workers: A Cross-Sectional Analytical Study.

Authors

Samsoor, Ali Ahmad; Stanikzai, Muhammad Haroon

Abstract

Background: Decades of conflict and cycles of disasters in Afghanistan have caused enormous impacts on health, the economy, and even national security. Objectives: We aimed to assess the levels of depression, anxiety, and stress symptoms and their determinants among Afghan healthcare workers. Methods: A cross-sectional study of 830 Afghan healthcare workers working in public and private hospitals was conducted between May and July 2021. We employed a non-probability sampling method to select our subjects. The questionnaire was composed of sections on sociodemographic information, working conditions, and Depression, Anxiety, and Stress Scale-21 (DASS-21). Multivariable linear regression models were fitted using SPSS 21 to identify determinants of mental health symptoms among Afghan healthcare workers at a 5% significance level. Results: Of all participants, 52.3% (435) had symptoms of depression, 48.8% (405) anxiety, and 46.9% (389) stress. The likelihood of mental health symptoms was higher among those who worked in an urban setting (P = 0.001), were physically inactive (P = <0.001), had a decrease in income or an unpaid salary in the past six months (P = <0.001), thinking of leaving Afghanistan (P = <0.001), had medical comorbidity (P = <0.001), and being single (P = 0.048)]. Conclusion: This study highlights the important findings about the psychological health of healthcare workers in Afghanistan. These findings suggest rapid, actionable, and locally relevant interventions to assure potential improvements in working and living conditions for the health staff.

Subjects

AFGHANISTAN; COMPETENCY assessment (Law); MENTAL depression risk factors; RISK assessment; CROSS-sectional method; PUBLIC hospitals; RESEARCH funding; PROPRIETARY hospitals; STATISTICAL sampling; QUESTIONNAIRES; WORK environment; SOCIOECONOMIC factors; ANXIETY; MULTIVARIATE analysis; POPULATION geography; DESCRIPTIVE statistics; JOB stress; DATA analysis software; MENTAL depression; REGRESSION analysis; PHYSICAL activity; COMORBIDITY; WELL-being

Publication

Indian Journal of Occupational & Environmental Medicine, 2024, Vol 28, Issue 2, p154

ISSN

0973-2284

Publication type

Academic Journal

DOI

10.4103/ijoem.ijoem_34_24

EBSCO Connect | Privacy policy | Terms of use | Copyright | Manage my cookies
Journals | Subjects | Sitemap
© 2025 EBSCO Industries, Inc. All rights reserved