How has welfare to work reform affected the mental health of single parents in Australia?

Concerns raised about the inadequacy of income support payments in Australia have chiefly centred on the increased poverty experienced by highly vulnerable recipients, such as single parents. This poverty not only increases the risk of social exclusion, but has broader implications for health and wellbeing.This research was funded through a grant - ARC Grant #DP120101887

Incidence of self-reported brain injury and the relationship with substance abuse: findings from a longitudinal community survey

BACKGROUND: Traumatic or serious brain injury (BI) has persistent and well documented adverse outcomes, yet 'mild' or 'moderate' BI, which often does not result in hospital treatment, accounts for half the total days of disability attributed to BI. There are currently few data available from community samples on the incidence and correlates of these injuries. Therefore, the study aimed to assess the 1) incidence of self-reported mild (not requiring hospital admission) and moderate (admitted to hospital)) brain injury (BI), 2) causes of injury 3) physical health scores and 4) relationship between BI and problematic alcohol or marijuana use. METHODS: An Australian community sequential-cohort study (cohorts aged 20-24, 40-44 and 60-64 years at wave one) used a survey methodology to assess BI and substance use at baseline and four years later. RESULTS: Of the 7485 wave one participants, 89.7% were re-interviewed at wave two. There were 56 mild (230.8/100000 person-years) and 44 moderate BI (180.5/100000 person-years) reported between waves one and two. Males and those in the 20-24 year cohort had increased risk of BI. Sports injury was the most frequent cause of BI (40/100) with traffic accidents being a greater proportion of moderate (27%) than mild (7%) BI. Neither alcohol nor marijuana problems at wave one were predictors of BI. BI was not a predictor of developing substance use problems by wave two. CONCLUSIONS: BI were prevalent in this community sample, though the incidence declined with age. Factors associated with BI in community samples differ from those reported in clinical samples (e.g. typically traumatic brain injury with traffic accidents the predominate cause). Further, detailed evaluation of the health consequences of these injuries is warranted

Longitudinal cohort study describing persistent frequent attenders in Australian primary healthcare

Objectives: To describe patterns of frequent attendance in Australian primary care, and identify the prospective risk factors for persistent frequent attendance. Design, setting and participants: This study draws on data from the Personality and Total Health (PATH) Through Life Project, a representative community cohort study of residents from the Canberra region of Australia. Participants were assessed on 3 occasions over 8 years. The survey assessed respondents’ experience of chronic physical conditions, self-reported health, symptoms of common mental disorders, personality, life events, sociodemographic characteristics and self-reported medication use. A balanced sample was used in analysis, comprising 1734 respondents with 3 waves of data. The survey data for each respondent were individually linked to their administrative health service use data which were used to generate an objective measure of general practitioner (GP) consultations in the 12 months surrounding their interview date. Main outcome measures: Respondents in the (approximate) highest decile of attenders on number of GP consultations over a 12-month period at each time point were defined as frequent attenders (FAs). Results: Baseline FAs (8.4%) were responsible for 33.4% of baseline consultations, while persistent FAs (3.6%) for 15.5% of all consultations over the 3 occasions. While there was considerable movement between FA status over time, consistency was greater than expected by chance alone. While there were many factors that differentiated non-FAs from FAs in general, persistent frequent attendance was specifically associated with gender, baseline reports of depression, self-reported physical conditions and disability, and medication use. Conclusions: The degree of persistence in GP consultations was limited. The findings of this study contribute to our understanding of the risk factors that predict subsequent persistent frequent attendance in primary care. However, further detailed investigation of longitudinal patterns of frequent attendance and consideration of time-varying determinants of frequent attendance is required

The role of financial hardship, mastery and social support in the association between employment status and depression: Results from an Australian longitudinal cohort study

Objective There is robust epidemiological and clinical evidence of the harmful effects of unemployment on psychological well-being, but the mechanisms through which this occurs is still strongly debated. In addition, there is even less evidence on the impact of underemployment on mental health. Using longitudinal data collected from a cohort of 20–24 years old, the present study examines a range of employed states and investigates the role of mastery, financial hardship and social support in the relationship between labour status and depression. Method Responses were from the Personality and Total Health (PATH) Through Life Project: A representative, community-based survey conducted in Canberra and Queanbeyan (NSW) in Australia, where respondents (n=2404) in their early twenties were followed for 8 years. Depression was measured using the self-report Goldberg Depression Scale, with the likely presence of depression being indicated by scores 7 or greater. Results The analyses identified unemployment and underemployment as significant predictors of depression, compared to their employed counterparts. Both unemployment and underemployment remained significantly correlated with depression even after accounting for sociodemographic, economic and psychological variables. Social support, financial hardship and a sense of personal control (mastery) all emerged as important mediators between unemployment and depression. Conclusions Both unemployment and underemployment were associated with increased risk of depression. The strength of this relationship was attenuated but remained significant after accounting for key variables (mastery, financial hardship and social support), and extensive sociodemographic and health covariates, indicating that no or inade­quate employment contributes to poorer mental health over and above these factors

The contribution of financial hardship, socioeconomic position and physical health to mental health problems among welfare recipients

Recent changes to income support payments for single parents have prompted public debate about the financial adequacy of Newstart allowance and other welfare payments. Currently, the Newstart Allowance for a single person with no dependents is $501.00 per fortnight. The inadequacy of these payments has been highlighted by studies estimating that recipients of unemployment payments spend 122% of their income on daily living expenses, and 75% of Newstart recipients are reported to live in extreme poverty. Given that common psychiatric disorders occur more frequently among welfare recipients relative to the general population, and that financial hardship and socioeconomic disadvantage are key correlates of mental disorders, the types of welfare reforms recently introduced can have real implications for population health and wellbeing.This research was funded through a grant - ARC Grant #DP120101887

Social disadvantage and individual vulnerability: a longitudinal investigation of welfare receipt and mental health in Australia

OBJECTIVE: To examine longitudinal associations between mental health and welfare receipt among working-age Australians. METHOD: We analysed 9 years of data from 11,701 respondents (49% men) from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Mental health was assessed by the mental health subscale from the Short Form 36 questionnaire. Linear mixed models were used to examine the longitudinal associations between mental health and income support adjusting for the effects of demographic and socio-economic factors, physical health, lifestyle behaviours and financial stress. Within-person variation in welfare receipt over time was differentiated from between-person propensity to receive welfare payments. Random effect models tested the effects of income support transitions. RESULTS: Socio-demographic and financial variables explained the association between mental health and income support for those receiving student and parenting payments. Overall, recipients of disability, unemployment and mature age payments had poorer mental health regardless of their personal, social and financial circumstances. In addition, those receiving unemployment and disability payments had even poorer mental health at the times that they were receiving income support relative to the times when they were not. The greatest reductions in mental health were associated with transitions to disability payments and parenting payments for single parents. CONCLUSIONS: The poor mental health of welfare recipients may limit their opportunities to gain work and participate in community life. In part, this seems to reflect their adverse social and personal circumstances. However, there remains evidence of a direct link between welfare receipt and poor mental health that could be due to factors such as welfare stigma or other adverse life events coinciding with welfare receipt for those receiving unemployment or disability payments. Understanding these factors is critical to inform the next stage of welfare reform.PB was funded by NHMRC fellowship 525410. This paper was funded by the Australian Research Council grant DP120101887 and uses unit record data from the HILDA Survey. The HILDA project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA)

Mental health selection and income support dynamics: multiple spell discrete-time survival analyses of welfare receipt

BACKGROUND The higher occurrence of common psychiatric disorders among welfare recipients has been attributed to health selection, social causation and underlying vulnerability. The aims of this study were to test for the selection effects of mental health problems on entry and re-entry to working-age welfare payments in respect to single parenthood, unemployment and disability. METHODS Nationally representative longitudinal data were drawn from the Household Income and Labour Dynamics in Australia survey. Multiple spell discrete-time survival analyses were conducted using multinomial logistic regression models to test if pre-existing mental health problems predicted transitions to welfare. Analyses were stratified by sex and multivariate adjusted for mental health problems, father’s occupation, socioeconomic position, marital status, employment history, smoking status and alcohol consumption, physical function and financial hardship. All covariates were modelled as either lagged effects or when a respondent was first observed to be at risk of income support. RESULTS Mental health problems were associated with increased risk of entry and re-entry to disability, unemployment and single parenting payments for women, and disability and unemployment payments for men. These associations were attenuated but remained significant after adjusting for contemporaneous risk factors. CONCLUSIONS Although we do not control for reciprocal causation, our findings are consistent with a health selection hypothesis and indicate that mental illness may be a contributing factor to later receipt of different types of welfare payments. We argue that mental health warrants consideration in the design and targeting of social and economic policies.This paper was funded by the Australian Research Council (ARC) grant DP120101887 and uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA)

Patterns of Welfare Attitudes in the Australian Population

The study of community attitudes toward welfare and welfare recipients is an area of increasing interest. This is not only because negative attitudes can lead to stigmatization and discrimination, but because of the relevance of social attitudes to policy decisions. We quantify the attitudes toward welfare in the Australian population using attitude data from a nationally representative survey (N = 3243). Although there was broad support for the social welfare system, negative attitudes are held toward those who receive welfare benefits. Using canonical correlation analysis we identify multivariate associations between welfare attitudes and respondent demographic characteristics. A primary attitudinal dimension of welfare positivity was found amongst those with higher levels of education, life instability, and personal exposure to the welfare system. Other patterns of negative welfare attitudes appeared to be motivated by beliefs that the respondent’s personal circumstances indicate their deservingness. Moreover, a previously unidentified and unconsidered subset of respondents was identified. This group had positive attitudes toward receiving government benefits despite having no recent experience of welfare. They did, however, possess many of the characteristics that frequently lead to welfare receipt. These results provide insights into not only how attitudinal patterns segment across the population, but are of relevance to policy makers considering how to align welfare reform with community attitudes

Out-of-pocket costs, primary care frequent attendance and sample selection : Estimates from a longitudinal cohort design

Acknowledgements: Thank you to the study participants, PATH Interviewers, Karen Maxwell and Trish Jacomb; and to the other PATH Chief Investigators: Kaarin Anstey, Helen Christensen, Anthony Jorm, Bryan Rodgers, Andrew Mackinnon, Simon Easteal and Nicolas Cherbuin. The PATH Through Life Study is funded by National Health and Medical Research Council Grants 973302, 179805 and 418039. Peter Butterworth is funded by ARC Future Fellowship FT13101444.Peer reviewedPostprin

Deriving prevalence estimates of depressive symptoms throughout middle and old age in those living in the community

BACKGROUND: There is considerable debate about the prevalence of depression in old age. Epidemiological surveys and clinical studies indicate mixed evidence for the association between depression and increasing age. We examined the prevalence of probable depression in the middle aged to the oldest old in a project designed specifically to investigate the aging process. METHODS: Community-living participants were drawn from several Australian longitudinal studies of aging that contributed to the Dynamic Analyses to Optimise Ageing (DYNOPTA) project. Different depression scales from the contributing studies were harmonized to create a binary variable that reflected "probable depression" based on existing cut-points for each harmonized scale. Weighted prevalence was benchmarked to the Australian population which could be compared with findings from the 1997 and 2007 National Surveys of Mental Health and Well-Being (NSMHWB). RESULTS: In the DYNOPTA project, females were more likely to report probable depression. This was consistent across age levels. Both NSMHWB surveys and DYNOPTA did not report a decline in the likelihood of reporting probable depression for the oldest old in comparison with mid-life. CONCLUSIONS: Inconsistency in the reports of late-life depression prevalence in previous epidemiological studies may be explained by either the exclusion and/or limited sampling of the oldest old. DYNOPTA addresses these limitations and the results indicated no change in the likelihood of reporting depression with increasing age. Further research should extend these findings to examine within-person change in a longitudinal context and control for health covariates.NHMRC (National Health and Medical Research Council of Australia