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Changes in Job Security and Mental Health: An Analysis of 14 Annual Waves of an Australian Working-Population Panel Survey.
- Source :
-
American journal of epidemiology [Am J Epidemiol] 2021 Feb 01; Vol. 190 (2), pp. 207-215. - Publication Year :
- 2021
-
Abstract
- We examined whether job security improvements were associated with improvements in mental health in a large, nationally representative panel study in Australia. We used both within-person fixed effects (FE) and random effects (RE) regression to analyze data from 14 annual waves covering the calendar period of 2002-2015 (19,169 persons; 106,942 observations). Mental Health Inventory-5 scores were modeled in relation to self-reported job security (categorical, quintiles), adjusting for age, year, education, and job change in the past year. Both FE and RE models showed stepwise improvements in Mental Health Inventory-5 scores with improving job security, with stronger exposure-outcome relationships in the RE models and for men compared with women. The RE coefficients for improvements in job security in men were 2.06 (95% confidence interval (CI): 1.67, 2.46) for 1 quintile, steadily increasing for 2- (3.94 (95% CI: 3.54, 4.34)), 3- (5.82 (95% CI: 5.40, 6.24)), and 4-quintile (7.18 (95% CI: 6.71, 7.64)) improvements. The FE model for men produced slightly smaller coefficients, reaching a maximum of 5.55 (95% CI: 5.06, 6.05). This analysis, with improved causal inference over previous observational research, showed that improving job security is strongly associated with decreasing depression and anxiety symptoms. Policy and practice intervention to improve job security could benefit population mental health.<br /> (© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Subjects :
- Adolescent
Adult
Age Factors
Australia epidemiology
Educational Status
Female
Humans
Male
Middle Aged
Occupations statistics & numerical data
Risk Factors
Sex Factors
Socioeconomic Factors
Young Adult
Employment psychology
Employment statistics & numerical data
Mental Health statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1476-6256
- Volume :
- 190
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- American journal of epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 32242618
- Full Text :
- https://doi.org/10.1093/aje/kwaa038