Understanding suicidal transitions in Australian adults: protocol for the LifeTrack prospective longitudinal cohort study.

BACKGROUND: The factors that influence transition from suicidal ideation to a suicide attempt or remission of suicidal thoughts are poorly understood. Despite an abundance of research on risk factors for suicidal ideation, no large-scale longitudinal population-based studies have specifically recruited people with suicidal ideation to examine the mechanisms underlying critical transitions to either suicide attempt or recovery from suicidal ideation. Without longitudinal data on the psychological, behavioural, and social determinants of suicide attempt and the remission of suicidal ideation, we are unlikely to see major gains in the prevention of suicide. AIM: The LifeTrack Project is a population-based longitudinal cohort study that aims to identify key modifiable risk and protective factors that predict the transition from suicidal ideation to suicide attempt or remission of suicidal ideation. We will assess theory-informed risk and protective factors using validated and efficient measures to identify distinct trajectories reflecting changes in severity of suicidal ideation and transition to suicide attempt over three years. METHODS: A three-year prospective population-based longitudinal cohort study will be conducted with adults from the general Australian population who initially report suicidal ideation (n = 842). Eligibility criteria include recent suicidal ideation (past 30 days), aged 18 years or older, living in Australia and fluent in English. Those with a suicide attempt in past 30 days or who are unable to participate in a long-term study will be excluded. Participants will be asked to complete online assessments related to psychopathology, cognition, psychological factors, social factors, mental health treatment use, and environmental exposures at baseline and every six months during this three-year period. One week of daily measurement bursts (ecological momentary assessments) at yearly intervals will also capture short-term fluctuations in suicidal ideation, perceived burdensomeness, thwarted belongingness, capability for suicide, and distress. CONCLUSION: This study is intended to identify potential targets for novel and tailored therapies for people experiencing suicidal ideation and improve targeting of suicide prevention programs. Even modest improvements in current treatments may lead to important reductions in suicide attempts and deaths. STUDY REGISTRATION: Australian New Zealand Clinical Trials Registry identifier: ACTRN12623000433606.

Working out dads (WOD): a study protocol for a randomised controlled trial of a group-based peer support intervention for men experiencing mental health difficulties in early fatherhood.

BACKGROUND: Approximately one in ten men experience mental health difficulties during the early years of fatherhood, and these can have negative impacts on children and families. However, few evidence-based interventions targeting fathers' mental health are available. The aim of the trial is to evaluate the effectiveness and cost-effectiveness of Working Out Dads (WOD) - a facilitated peer support group intervention for fathers of young children, in reducing psychological distress and other mental health symptoms. METHODS: This trial will employ a parallel-arm randomised controlled trial (RCT) to evaluate the effectiveness and cost effectiveness of WOD peer support group intervention compared to usual care (a 30-min mental health and service focused phone consultation with a health professional). A total of 280 fathers of young children (aged 0-4 years) who are experiencing mental health difficulties and/or are at risk of poor mental health will be recruited. Randomisation and analyses will be at the level of the individual participant. The primary outcome is psychological distress symptoms, measured by the Kessler Psychological Distress Scale (K10) from baseline to 24 weeks post randomisation. A range of secondary outcomes will be assessed including suicidal ideation; mental health disorders, specific symptoms of depression, anxiety, and stress; social support, quality of life, health service use, and health care costs. Data will be collected at baseline, 10- and 24 weeks post-randomisation. DISCUSSION: This trial will examine the effectiveness of a novel group-based peer support intervention in reducing the psychological distress and other mental health symptoms of fathers compared to usual care. The economic and process evaluation will guide policy decision making along with informing the future implementation of WOD on a larger scale if effectiveness is demonstrated. TRIAL REGISTRATION: The current trial has been registered with ClinicalTrials.gov (Registration ID - NCT04813042 ). Date of Registration: March 22nd, 2021.

Cost of poor health to the labour market returns to education in Australia: another pathway for socio-economic inequality.

While several studies have estimated returns to education in Australia, there is limited evidence regarding the influence of health on the returns. This paper identifies how health affects returns to education in the labour market using the Heckman selection bias-corrected model. We measured health status using a self-rated health item with five response categories 'poor, fair, good, very good, and excellent'. The findings show that poor health or being unhealthy (defined as 'poor' or 'fair') interacts with education, such that the benefits of education (i.e. higher hourly wage rate) are curtailed in those with health problems; the adverse effect is stronger for those in lower skilled jobs. The estimated returns to an additional year of schooling on average over 2001-2017 is 7.43% and 6.88% for the healthy and unhealthy groups, respectively. Thus, the return for workers with poor health is 7.4% lower than the return for healthier workers (for each additional year of schooling). This gap in the returns is equivalent to a productivity loss of about $19-25 billion per year. The lower returns to education for workers with poor health likely results from lower productivity while at work rather than loss of working days as the estimate is based on an hourly wage rate (rather than days or hours absent from work). These lower returns may also be explained by unhealthy workers accepting lower paid jobs given the same levels of experience, skills and education that healthier counterparts have. The cost of poor health to labour market returns is further amplified in low-skilled occupations, a process which is likely to exacerbate socio-economic inequalities and undercut social mobility.

Early Onset of Distress Disorders and High-School Dropout: Prospective Evidence From a National Cohort of Australian Adolescents.

Prior research examining whether depression and anxiety lead to high-school dropout has been limited by a reliance on retrospective reports, the assessment of mental health at a single point in time (often remote from the time of high-school exit), and the omission of important measures of the social and familial environment. The present study addressed these limitations by analyzing 8 waves of longitudinal data from a cohort of Australian adolescents (n = 1,057) in the Household, Income and Labor Dynamics in Australia (HILDA) Survey (2001-2008). Respondents were followed from the age of 15 years through completion of or exit from high school. Discrete-time survival analysis was used to assess whether the early experience of a distress disorder (indicated by scores <50 on the 5-item Mental Health Inventory from the Short Form Health Survey) predicted subsequent high-school dropout, after controlling for household and parental socioeconomic characteristics and for tobacco smoking and alcohol consumption. Adolescents with a prior distress disorder had twice the odds of high-school dropout compared with those without (odds ratio = 1.99, 95% confidence interval: 1.24, 3.17). This association was somewhat attenuated but remained significant in models including tobacco and alcohol consumption (odds ratio = 1.74, 95% confidence interval: 1.74; 1.09, 2.78). These results suggest that improving the mental health of high-school students may promote better educational outcomes.

Online Recruitment: Feasibility, Cost, and Representativeness in a Study of Postpartum Women.

BACKGROUND: Online recruitment is feasible, low-cost, and can provide high-quality epidemiological data. However, little is known about the feasibility of recruiting postpartum women online, or sample representativeness. OBJECTIVE: The current study investigates the feasibility of recruiting a population of postpartum women online for health research and examines sample representativeness. METHODS: Two samples of postpartum women were compared: those recruited online as participants in a brief survey of new mothers (n=1083) and those recruited face-to-face as part of a nationally representative study (n=579). Sociodemographic, general health, and mental health characteristics were compared between the two samples. RESULTS: Obtaining a sample of postpartum women online for health research was highly efficient and low-cost. The online sample over-represented those who were younger (aged 25-29 years), were in a de facto relationship, had higher levels of education, spoke only English at home, and were first-time mothers. Members of the online sample were significantly more likely to have poor self-rated health and poor mental health than the nationally representative sample. Health differences remained after adjusting for sociodemographic differences. CONCLUSIONS: Potential exists for feasible and low-cost e-epidemiological research with postpartum populations; however, researchers should consider the potential influence of sample nonrepresentativeness.

Financial hardship, mastery and social support: Explaining poor mental health amongst the inadequately employed using data from the HILDA survey.

OBJECTIVE: This study analysed data from the Household Income and Labour Dynamics in Australia (HILDA) Survey to examine the relationship between employment status and mental health, and the mediating effects of financial hardship, mastery and social support. In addition, the study sought to explore the effects of duration of unemployment on mental health. METHODS: The primary analysis used three waves of data from the HILDA Survey with 4965 young adult respondents. Longitudinal population-averaged logistic regression models assessed the association of employment status and mental health, including the contribution of mastery, financial hardship and social support in explaining this association between employment groups (unemployed vs. employed; under employed vs. employed). Sensitivity analyses utilised a fixed-effects approach and also considered the full-range of working-age respondents. Regression analysis was used to explore the effect of duration of unemployment on mental health. RESULTS: Respondents' who identified as unemployed or underemployed were at higher risk of poor mental health outcomes when compared to their employed counterparts. This association was ameliorated when accounting for mastery, financial hardship and social support for the unemployed, and was fully mediated for the underemployed. The fixed-effects models showed the transition to unemployment was associated with a decline in mental health and that mastery in particular contributed to that change. The same results were found with a broader age range of respondents. Finally, the relationship between duration of unemployment and mental health was not linear, with mental health showing marked decline across the first 9 weeks of unemployment. CONCLUSIONS AND IMPLICATIONS: Mastery, social support and financial hardship are important factors in understanding the association of poor mental health with both unemployment and underemployment. Furthermore, the results suggest that the most deleterious effects on mental health may occur in the first two months of unemployment before plateauing. In order to prevent deterioration in mental health, these findings suggest intervention should commence immediately following job loss.

What matters for working fathers? Job characteristics, work-family conflict and enrichment, and fathers' postpartum mental health in an Australian cohort.

One in ten fathers experience mental health difficulties in the first year postpartum. Unsupportive job conditions that exacerbate work-family conflict are a potential risk to fathers' mental health given that most new fathers (95%) combine parenting with paid work. However, few studies have examined work-family conflict and mental health for postpartum fathers specifically. The aim of the present study was to identify the particular work characteristics (e.g., work hours per week, job quality) associated with work-family conflict and enrichment, and fathers' mental health in the postpartum period. Survey data from 3243 fathers of infants (aged 6-12 months) participating in the Longitudinal Study of Australian Children were analysed via path analysis, considering key confounders (age, education, income, maternal employment, maternal mental health and relationship quality). Long and inflexible work hours, night shift, job insecurity, a lack of autonomy and more children in the household were associated with increased work-family conflict, and this was in turn associated with increased distress. Job security, autonomy, and being in a more prestigious occupation were positively associated with work-family enrichment and better mental health. These findings from a nationally representative sample of Australian fathers contribute novel evidence that employment characteristics, via work-family conflict and work-family enrichment, are key determinants of fathers' postnatal mental health, independent from established risk factors. Findings will inform the provision of specific 'family-friendly' conditions protective for fathers during this critical stage in the family life-cycle, with implications for their wellbeing and that of their families.

How financial hardship is associated with the onset of mental health problems over time.

PURPOSE: Poor mental health has been consistently linked with the experience of financial hardship and poverty. However, the temporal association between these factors must be clarified before hardship alleviation can be considered as an effective mental health promotion and prevention strategy. We examined whether the longitudinal associations between financial hardship and mental health problems are best explained by an individual's current or prior experience of hardship, or their underlying vulnerability. METHODS: We analysed nine waves (years: 2001-2010) of nationally representative panel data from the Household, Income, and Labour Dynamics in Australia survey (n = 11,134). Two components of financial hardship (deprivation and cash-flow problems) and income poverty were coded into time-varying and time-invariant variables reflecting the contemporaneous experience of hardship (i.e., current), the prior experience of hardship (lagged/12 months), and any experience of hardship during the study period (vulnerability). Multilevel, mixed-effect logistic regression models tested the associations between these measures and mental health. RESULTS: Respondents who reported deprivation and cash-flow problems had greater risk of mental health problems than those who did not. Individuals vulnerable to hardship had greater risk of mental health problems, even at the times they did not report hardship. However, their risk of mental health problems was greater on occasions when they did experience hardship. CONCLUSIONS: The results are consistent with the argument that economic and social programmes that address and prevent hardship may promote community mental health.

Socioeconomic differences in antidepressant use in the PATH Through Life Study: evidence of health inequalities, prescribing bias, or an effective social safety net?

BACKGROUND: Depression is more common amongst those who are economically disadvantaged. However there is inconsistent evidence concerning the relationship between socioeconomic position and antidepressant use. Moreover, evidence of greater antidepressant use amongst those of lower socioeconomic position may reflect their greater psychiatric morbidity, a prescribing bias towards pharmacological treatments, or provide evidence of an effective social safety net. This study investigates these issues whilst addressing methodological limitations of earlier studies. METHOD: Data were from a large, random community survey of Australian adults (N=4493) with linked administrative data for primary-care service use. Depression was measured using the Patient Health Questionnaire, with other measures of current mental health and history of depression included in analysis. Multiple personal indicators and a combined measure of social disadvantage were considered. A series of analyses systematically examined competing explanations for socioeconomic differences in depression and antidepressant treatment. RESULTS: Markers of socioeconomic disadvantage were associated with a greater likelihood of antidepressant use. This finding was not attributable to the higher rates of depression amongst the disadvantaged. A similar pattern of results was evident for non-pharmaceutical treatments (primary care consultations). Socioeconomic position was not associated with use of complementary medications for depression, not covered by Australia's social safety net. LIMITATIONS: Analysis did not consider specialist mental health services. CONCLUSIONS: Socially disadvantaged respondents reported greater antidepressant use and service use after controlling for current depression symptoms. This pattern of findings suggests Australia's universal health-care system and social safety net may help address potential inequalities in health care.

Private health insurance, mental health and service use in Australia.

OBJECTIVE: To report on the private health insurance (PHI) status of individuals with and without a mental health problem, and examine whether PHI status is associated with access to psychological services. METHODS: This is a descriptive study of nationally representative population-based data collected in 2009 (HILDA) with participants aged 15-93 (n = 13,301). Key measures included: PHI status (categorised as 'hospital cover only', 'extras cover only', or 'both hospital and extras cover'); mental health status (categorised as 'have a mental health problem' or 'do not have a mental health problem' using the mental health index (MHI) of the medical outcomes study short form); mental health service use (access to a mental health professional (psychologist/psychiatrist) in the past 12 months categorised as 'yes' or 'no'). RESULTS: Individuals with a mental health problem were less likely to have PHI than those without a mental health problem. However, PHI was not associated with access to a mental health professional in the past 12 months. CONCLUSIONS: The findings suggest that while the discrepancy in PHI status is a marker of inequity between those with and without a mental health problem, it is not a key factor in facilitating access to mental health services.

The role of hardship in the association between socio-economic position and depression.

OBJECTIVE: It is well established that socio-economic position is associated with depression. The experience of financial hardship, having to go without the essentials of daily living due to limited financial resources, may explain the effect. However, there are few studies examining the link between financial hardship and diagnosable depression at a population level. The current paper addresses this gap and also evaluates the moderating effect of age. METHOD: Data were from 8841 participants aged 16-85 years in Australia's 2007 National Survey of Mental Health and Wellbeing. The 12-month prevalence of depressive episode was assessed using the Composite International Diagnostic Interview. Measures of socio-economic position included: financial hardship, education, labour-force status, occupational skill, household income, main source of income, and area-level disadvantage. RESULTS: Financial hardship was more strongly associated with depression than other socio-economic variables. Hardship was more strongly associated with current depression than with prior history of depression. The relative effect of hardship was strongest in late adulthood but the absolute effect of hardship was greatest in middle age. CONCLUSIONS: The results demonstrate the critical role of financial hardship in the association between socio-economic disadvantage and 12-month depressive episode, and suggest that social and economic policies that address inequalities in living standards may be an appropriate way to reduce the burden attributable to depression.

Poor mental health influences risk and duration of unemployment: a prospective study.

PURPOSE: The current paper aims to investigate the role of mental health in determining future employment status. Much of the previous longitudinal and prospective research has focused on how unemployment adversely influences mental health, while the reverse causal direction has received much less attention. METHODS: This study uses five waves of data from 5,846 respondents in the HILDA survey, a nationally representative household panel survey conducted annually since 2001. Prospective analyses followed a group of respondents who were not unemployed at baseline across four subsequent years and investigated whether baseline mental health was associated with subsequent unemployment. RESULTS: Baseline mental health status was a significant predictor of overall time spent unemployed for both men and women. Decomposing this overall effect identified sex differences. For women but not men, baseline mental health was associated with risk of experiencing any subsequent unemployment whereas for men but not women mental health was associated with the duration of unemployment amongst those who experienced unemployment. CONCLUSIONS: By following a group of respondents who were not unemployed over time, we showed that poor mental health predicted subsequent unemployment. On average, men and women who experienced symptoms of common mental disorders spent greater time over the next 4 years unemployed than those with better mental health but there were sex differences in the nature of this effect. These findings highlight the importance of mental health in the design and delivery of employment and welfare policy.

Prevalence of self-management versus formal service use for common mental disorders in Australia: findings from the 2007 National Survey of Mental Health and Wellbeing.

OBJECTIVE: To determine the proportion of Australian adults who use non-practitioner led support services and self-management strategies for common mental disorders. METHOD: Data were drawn from the 2007 National Survey of Mental Health and Wellbeing, a representative survey of 8841 Australian adults aged 16 to 85 years. This survey included the Composite International Diagnostic Instrument to obtain diagnosis of International Classification of Diseases (Version 10; ICD-10) mental disorders. Information about consultations with health professionals for mental health problems and the use of support services and self-management strategies was also collected. RESULTS: Half of all adults who met the criteria for an affective or anxiety disorder in the last 12 months reported using non-practitioner led support services and/or self-management strategies for their mental health problems. Six per cent used support services, including Internet and non-online support groups and telephone counselling, and 51.9% used self-management strategies such as doing 'more of the things you enjoy' to 'help deal with' their mental health problems. Of people with a 12-month common mental disorder, 24% used support services and/or self-management strategies without additional formal services; 29.3% used both. Of adults with a 12-month affective or anxiety disorder, 37% used neither formal services nor self-management strategies. A substantial proportion of people who reported using self-management strategies for their mental health did not have a diagnosable affective or anxiety disorder. CONCLUSIONS: The use of non-practitioner led support services and self-management strategies for mental health problems, with and without adjunct use of formal health services, is widespread in Australia. Future research is needed to investigate why people may select these strategies over formal services, or whether self-management reflects the presence of barriers to use of formal services.