Age and gender differences in the influence of social support on mental health: a longitudinal fixed-effects analysis using 13 annual waves of the HILDA cohort.

OBJECTIVES: Perceived social support is associated with better mental health. There has been limited attention to how these relationships are modified by age and gender. We assessed this topic using 13 years of cohort data. STUDY DESIGN: Prospective cohort study. METHODS: The outcome was the Mental Health Inventory-5 (MHI-5), a reliable and valid screening instrument for mood disorders. The main exposure was a social support scale composed of 10 items. We used longitudinal fixed-effects regression modelling to investigate within-person changes in mental health. Analytic models controlled for within-person sources of bias. We controlled for time-related factors by including them into regression modelling. RESULTS: The provision of higher levels of social support was associated with greater improvements in mental health for people aged under 30 years than for older age groups. The mental health of females appeared to benefit slightly more from higher levels of social support than males. Improvements in the MHI-5 were on a scale that could be considered clinically significant. CONCLUSIONS: The benefits of social support for young people may be connected to age-related transitions in self-identity and peer friendship networks. Results for females may reflect their tendency to place greater emphasis on social networks than males.

Perceptions of safety and exposure to violence in public places among working age adults with disabilities or long-term health conditions in the UK: cross sectional study.

OBJECTIVES: To examine perceptions of safety and exposure to violence in public places among working age adults with and without disabilities in the UK and to assess the extent to which any between-group differences may be moderated by gender and socio-economic situation. STUDY DESIGN: Cross-sectional study. METHODS: Secondary analysis of data collected in Wave 3 (2011-13) of Understanding Society. Data were extracted on a subsample of 5069 respondents aged 16 to 64 years (28% of whom had a disability/long-term health condition) who were administered a questionnaire module addressing experiences of harassment. Between-group comparisons were made on four self-reported indicators of safety. RESULTS: Respondents with disabilities/long-term health conditions were significantly more likely to have been attacked (adjusted OR 2.30, 95%CI 1.17-4.50, P < 0.05), insulted (adjusted OR 1.48, 95%CI 1.16-1.90, P < 0.01) and to feel unsafe in public places (adjusted OR 1.32, 95%CI 1.16-1.56, P < 0.01) over the previous 12 months. There were no statistically significant differences between groups with regard to self-reported avoidance of public places. These associations were moderated by both gender and poverty status, with the increased risk of exposure to violence among people with disabilities being greater for both women and people living in poverty. CONCLUSIONS: The data add further support to the growing evidence base suggesting that people with a disability/long-term health condition are at significantly increased risk of exposure to interpersonal violence, particularly if they are living in poverty or are women. As such, there is a clear need to develop interventions that are targeted to the particular circumstances and needs of these high risk groups.

Psychosocial job quality in a national sample of working Australians: A comparison of persons working with versus without disability.

OBJECTIVES: There is growing international policy interest in disability employment, yet there has been little investigation of job quality among people working with disability. This study uses Australian national data to compare the psychosocial job quality of people working with versus without disability. METHODS: We used 10 annual waves of data from a large representative Australian panel survey to estimate the proportion of the population experiencing poorer psychosocial job quality (overall and by individual 'adversities' of low job control, high demands, high insecurity, and low fairness of pay) by disability status and impairment type. We used logistic regression to examine the pooled cross-sectional associations between disability and job quality, adjusting for age, sex, education and job type. RESULTS: Those working with any disability showed approximately 25% higher odds of reporting one or more adversity at work (OR: 1.23, 95% CI: 1.15, 1.31), and this finding was consistent across impairment types with the exception of intellectual/developmental disability. Estimates were largely unchanged after adjustments. Similar results were found for reporting two or more adversities compared one or more. CONCLUSIONS: We observed that working people with a disability in Australia reported systematically poorer psychosocial job quality than those working without disability. These results suggest the need for further research to understand the reasons for these patterns, as well as policy and practice efforts to address this inequity.

Does disability status modify the association between psychosocial job quality and mental health? A longitudinal fixed-effects analysis.

BACKGROUND: People with disabilities have difficulties in obtaining work. However, evidence suggests that those with disabilities derive substantial mental health benefits from employment. This paper assesses how the relationship between work and mental health is influenced by psychosocial job quality for people working with a disability. METHODS: The study design was a longitudinal cohort with 13 annual waves of data collection, yielding a sample of 122,883 observations from 21,848 people. Fixed-effects within-person regression was used to control for time invariant confounding. The Mental Component Summary (MCS) of the Short Form 36 (SF-36) measure was used as the primary outcome measure. The main exposure was a six-category measure of psychosocial job quality and employment status (including 'not in the labour force' [NILF] and unemployment). Disability status ('no waves of disability reported' and 'all contributed waves with reported disability') was assessed as an effect modifier. We also conducted a secondary analysis on respondents contributing both disability and non-disability waves. RESULTS: For those with no disability, the greatest difference in mental health (compared to optimal employment) occurs when people have the poorest quality jobs (-2.12, 95% CI -2.48, -1.75, p < 0.001). The relative difference in mental health was less in relation to NILF and unemployment (-0.39 and -0.66 respectively). For those with consistent disability, the difference in mental health when employed in an optimal job was similar between the poorest quality jobs (-2.25, 95% CI -3.84, -0.65, p = 0.006), NILF (-2.84, 95% CI -4.49, -1.20, p = 0.001) or unemployment (-2.56, 95% CI -4.32, -0.80, p = 0.004). These results were confirmed by the secondary analysis. CONCLUSIONS: Efforts to improve psychosocial job quality may have significant mental health benefits for people with disabilities. This will contribute to the economic viability of disability employment insurance schemes in Australia and other high-income countries.

Psychosocial working conditions in a representative sample of working Australians 2001-2008: an analysis of changes in inequalities over time.

BACKGROUND: A number of widely prevalent job stressors have been identified as modifiable risk factors for common mental and physical illnesses such as depression and cardiovascular disease, yet there has been relatively little study of population trends in exposure to job stressors over time. The aims of this paper were to assess: (1) overall time trends in job control and security and (2) whether disparities by sex, age, skill level and employment arrangement were changing over time in the Australian working population. METHODS: Job control and security were measured in eight annual waves (2000-2008) from the Australian nationally-representative Household Income and Labour Dynamics of Australia panel survey (n=13 188 unique individuals for control and n=13 182 for security). Observed and model-predicted time trends were generated. Models were generated using population-averaged longitudinal linear regression, with year fitted categorically. Changes in disparities over time by sex, age group, skill level and employment arrangement were tested as interactions between each of these stratifying variables and time. RESULTS: While significant disparities persisted for disadvantaged compared with advantaged groups, results suggested that inequalities in job control narrowed among young workers compared with older groups and for casual, fixed-term and self-employed compared with permanent workers. A slight narrowing of disparities over time in job security was noted for gender, age, employment arrangement and occupational skill level. CONCLUSIONS: Despite the favourable findings of small reductions in disparities in job control and security, significant cross-sectional disparities persist. Policy and practice intervention to improve psychosocial working conditions for disadvantaged groups could reduce these persisting disparities and associated illness burdens.