Poverty and health: exploring the links between financial stress and emotional stress in Australia

Protecting mental health during periods of financial stress: Evidence from the Australian Coronavirus Supplement income support payment

This paper investigates whether the Australian government's Coronavirus Supplement, a temporary income support payment for unemployed jobseekers during the height of the COVID-19 pandemic, protected mental health (frequency of feeling anxious or depressed during the past week) by lowering financial stress (how comfortable people are in paying for essential services). We use unique nationally representative repeated cross-sectional data on 3843 unemployed Australian adults over the period April 6, 2020 to May 10, 2021. We find that the Coronavirus Supplement payment significantly reduced reported financial stress, and lower financial stress was associated with lower mental distress. Though the Coronavirus Supplement was designed to reduce financial stress, we find the Supplement was also successful in protecting community mental health indirectly via its ability to reduce financial stress. The findings provide support for income support packages to protect mental health during economic shocks. However, transitory support measures also tend have short-lived positive effects on mental health, suggesting that more permanent income support reform may have longer-term mental health benefits.

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.

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.

Psychosocial predictors of nicotine dependence among women during their mid-sixties

Although there is considerable research demonstrating the prospective association between earlier maladaptive personal attributes and later nicotine dependence, there is less work on the psychosocial mediators of this relationship. Maladaptive personal attributes appear in the form of depression, anxiety, and interpersonal sensitivity. This study was designed to assess the prospective relationship between earlier maladaptive personal attributes (mean age = 40) and later nicotine dependence ( age = 65.2) within an understudied female community sample. The participants were given self-administered questionnaires. The results supported a model by which earlier maladaptive personal attributes predicted later nicotine dependence through several indirect pathways. In addition to cigarette smoking, several domains mediated the relation of earlier maladaptive personal attributes and later nicotine dependence. These domains included internal factors (ie, later maladaptive personal attributes), interpersonal factors (ie, marital/partner conflict), later contextual factors (ie, family financial difficulty). Our multidimensional longitudinal findings have important implications for the prevention and treatment of nicotine dependence. The results identify earlier and later significant psychosocial risk factors to be targeted, and suggest the timing of interventions to reduce or eliminate nicotine dependence.

The Nature of Falling Among Community Dwelling Seniors

This paper analyses data pertaining to falls from a 1995 random survey of 1,285 seniors living in the Capital Regional District of British Columbia. In the preceding six months, 211 (16.5%) people reported falling at least once. The overall rate for women was 18.6 per hundred compared with 13.3 for men. The study also examined relationships between falling and an array of demographic, health, psychological and psychosocial variables. The likelihood of falling increased directly with age and chronic illness, as well as indirectly with age, SES, and gender via chronic illness (i.e. older, poorer women tend to have more chronic illness which then leads to a higher incidence of falling). In turn, falling was directly related to increased dependence, and through it indirectly related to health satisfaction, mental health and a measure of life satisfaction.

Inequalities in the transition of cerebrovascular disease mortality in New South Wales, Australia 1969-1996

With reference to epidemiological transition theory, this paper examines change in cerebrovascular disease mortality in Australia's most populous state in the 28 year period, 1969-1996. The hypotheses were that in the context of overall stroke mortality decline over the period, marital status, occupational status and spatial differences decreased. However, while overall mortality declined, differentials increased. The reasons for this are considered, with particular implications for epidemiological transition theory and for the targeting of populations at risk in policy terms.

Socioeconomic status and health in Australia

Consistent with international evidence, the findings of Australian research show that socioeconomically disadvantaged groups experience significantly higher mortality and morbidity rates. Despite marked improvements in the health of all segments of the Australian population in recent decades, during this same period there has also been an increase in socioeconomically related mortality inequalities for some conditions. Socioeconomically disadvantaged groups are more likely to engage in health-damaging behaviours, experience poorer psychosocial health, make less use of the healthcare system for preventive purposes, and have a more adverse risk factor profile. These are the main contributing factors to the poorer physiological health of low socioeconomic groups. At present, our knowledge of how socioeconomic status and health are related is limited. A necessary step in improving our understanding of this issue is to draw together all the empirical evidence and use it as the basis for developing a theory of socioeconomic health inequalities. We present a conceptual framework to facilitate this process.

Income non-reporting: implications for health inequalities research

OBJECTIVES

To determine whether, in the context of a face to face interview, socioeconomic groups differ in their propensity to provide details about the amount of their personal income, and to discuss the likely consequences of any differences for studies that use income based measures of socioeconomic position.

DESIGN AND SETTING

The study used data from the 1995 Australian Health Survey. The sample was selected using a stratified multi-stage area design that covered urban and rural areas across all States and Territories and included non-institutionalised residents of private and non-private dwellings. The response rate was 91.5% for selected dwellings and 97.0% for persons within dwellings. Data were collected using face to face interviews. Income response, the dependent measure, was binary coded (0 if income was reported and 1 for refusals, "don't knows" and insufficient information). Socioeconomic position was measured using employment status, occupation, education and main income source. The socioeconomic characteristics of income non-reporters were initially examined using sex specific age adjusted proportions with 95% confidence intervals. Multivariate analysis was performed using logistic regression.

PARTICIPANTS

Persons aged 15-64 (n = 33,434) who were reportedly in receipt of an income from one or more sources during the data collection reference period.

RESULTS

The overall rate of income non-response was 9.8%. Propensity to not report income increased with age (15-29 years 5.8%, 30-49 10.6%, 50-64 13.8%). No gender differences were found (men 10.2%, women 9.3%). Income non-response was not strongly nor consistently related to education or occupation for men, although there was a suggested association among these variables for women, with highly educated women and those in professional occupations being less likely to report their income. Strong associations were evident between income non-response, labour force status and main income source. Rates were highest among the employed and those in receipt of an income from their own business or partnership, and lowest among the unemployed and those in receipt of a government pension or benefit (which excluded the unemployed).

CONCLUSION

Given that differences in income non-reporting were small to moderate across levels of the education and occupation variables, and that propensity to not report income was greater among higher socioeconomic groups, estimates of the relation between income and health are unlikely to be affected by socioeconomic variability in income non-response. Probability estimates from a logistic regression suggested that higher rates of income non-reporting among employed persons who received their income from a business or partnership were not attributable to socio-economic factors. Rather, it is proposed that these higher rates were attributable to recall effects, or concerns about having one's income information disclosed to taxation authorities. Future studies need to replicate this analysis to determine whether the results can be inferred to other survey and data collection contexts. The analysis should also be extended to include an examination of the relation between socio-economic position and accuracy of income reporting. Little is known about this issue, yet it represents a potential source of bias that may have important implications for studies that investigate the association between income and health.