Changes in Job Security and Mental Health: An Analysis of 14 Annual Waves of an Australian Working-Population Panel Survey.

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.

Does the effect of disability acquisition on mental health differ by employment characteristics? A longitudinal fixed-effects analysis.

PURPOSE: Longitudinal studies have suggested a causal relationship between disability acquisition and mental health, but there is substantial heterogeneity in the magnitude of the effect. Previous studies have provided evidence that socioeconomic characteristics can buffer the effect but have not examined the role of employment characteristics. METHODS: We used data from 17 annual waves of the Household, Income and Labour Dynamics in Australia Survey to compare the mental health of working age individuals before and after disability acquisition, using the Mental Health Inventory, a subscale of the SF-36 health questionnaire. Linear fixed-effects regression models were used to estimate the effect of disability acquisition on mental health. We tested for effect modification by two characteristics of people's employment prior to disability acquisition: occupational skill level and contract type. Multiple imputation using chained equations was used to handle missing data. RESULTS: Disability acquisition was associated with a substantial decline in mental health score (estimated mean difference: - 4.3, 95% CI - 5.0, - 3.5). There was evidence of effect modification by occupational skill level, with the largest effects seen for those in low-skilled jobs (- 6.1, 95% CI - 7.6, - 4.5), but not for contract type. CONCLUSIONS: The findings highlight the need for social and health policies that focus on increasing employment rates, improving the sustainability of employment, and providing employment services and education and training opportunities for people who acquire a disability, particularly for people in low-skilled occupations, to reduce the mental health inequalities experienced by people with disabilities.

Does social support modify the effect of disability acquisition on mental health? A longitudinal study of Australian adults.

PURPOSE: Disability acquisition in adulthood is associated with deterioration in mental health. Social support may act as a "buffer" against poor mental health following disability acquisition. We tested the hypothesis that women and men with low social support experienced larger declines in mental health on acquisition of a disability compared to women and men with high social support. METHODS: We assessed whether social support, measured both prior and subsequent to disability acquisition, modified the association between disability acquisition and mental health using 14 annual waves of data from the Household, Income and Labour Dynamics in Australia Survey. Participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (2200 participants, 15,724 observations). Fixed-effects linear regression models were used to estimate average differences in mental health between waves with and without disability, for women and men separately. We tested for effect measure modification of the association by social support, including a three-way interaction between disability and social support prior and subsequent to disability acquisition. RESULTS: Though the effects of disability acquisition on mental health were much larger for women, for both women and men there was a consistent pattern of association with social support. There was evidence that social support modified the association between disability acquisition and mental health, with the largest effects for those experiencing a change from high to low social support subsequent to disability and for people with consistently low social support. CONCLUSIONS: These findings highlight the importance of developing new policy and practice strategies to improve the mental health of people with disabilities, including interventions to promote social support at the time of disability acquisition.

Changes in Job Control and Perceptions of General Health: A Longitudinal Analysis of Australian Workers, 2005 to 2017.

OBJECTIVE: This longitudinal study of Australian workers explores a possible causal relationship between job control and general health. METHODS: Our sample included 105,017 observations (18,574 persons) over 13 annual waves from working age participants with information on job control, general health, and other sociodemographic and health factors. Three complementary longitudinal modeling approaches were used to explore the causal relationship. RESULTS: There was a strong stepwise, mostly exposure to outcome, relationship between increasing job control and general health. Cumulative exposure to low job control resulted in increasingly worse general health. Taken together, these findings provide good evidence of a causal relationship between low job control and general health. CONCLUSION: This analysis with improved causal inference over previous research showed that change in job control is strongly associated with change in general health.

Mental Health Following Acquisition of Disability in Adulthood--The Impact of Wealth.

BACKGROUND: Acquisition of a disability in adulthood has been associated with a reduction in mental health. We tested the hypothesis that low wealth prior to disability acquisition is associated with a greater deterioration in mental health than for people with high wealth. METHODS: We assess whether level of wealth prior to disability acquisition modifies this association using 12 waves of data (2001-2012) from the Household, Income and Labour Dynamics in Australia survey--a population-based cohort study of working-age Australians. Eligible participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (1977 participants, 13,518 observations). Fixed-effects linear regression was conducted with a product term between wealth prior to disability (in tertiles) and disability acquisition with the mental health component score of the SF-36 as the outcome. RESULTS: In models adjusted for time-varying confounders, there was evidence of negative effect measure modification by prior wealth of the association between disability acquisition and mental health (interaction term for lowest wealth tertile: -2.2 points, 95% CI -3.1 points, -1.2, p<0.001); low wealth was associated with a greater decline in mental health following disability acquisition (-3.3 points, 95% CI -4.0, -2.5) than high wealth (-1.1 points, 95% CI -1.7, -0.5). CONCLUSION: The findings suggest that low wealth prior to disability acquisition in adulthood results in a greater deterioration in mental health than among those with high wealth.