Disability-related inequalities in the prevalence of loneliness across the lifespan: trends from Australia, 2003 to 2020.

BACKGROUND: Experiencing loneliness can be distressing and increasing evidence indicates that being lonely is associated with poor physical and mental health outcomes. Cross-sectional studies have demonstrated that people with disability have increased risk of experiencing loneliness compared to people without disability. However, we do not know if these inequalities have changed over time. This study investigated the prevalence of loneliness for people with disability in Australia annually from 2003 to 2020 to examine whether disability-related inequalities in loneliness have changed over time, and disaggregated results for subgroups of people with disability by age group, sex, and disability group. METHODS: We used annual data (2003-2020) from the Household, Income and Labour Dynamics in Australia Survey. Loneliness was measured by a single question assessing the subjective experience of loneliness. For each wave, we calculated population-weighted age-standardised estimates of the proportion of people experiencing loneliness for people with and without disability. We then calculated the absolute and relative inequalities in loneliness between people with and without disability for each wave. Analyses were stratified by 10-year age groups, sex, and disability group (sensory or speech, physical, intellectual or learning, psychological, brain injury or stroke, other). RESULTS: From 2003 to 2020, the prevalence of loneliness was greater for people with disability, such that people with disability were 1.5 to 1.9 times more likely to experience loneliness than people without disability. While the prevalence of loneliness decreased for people without disability between 2003 and 2020, the prevalence of loneliness did not decrease for people with disability during this period. Inequalities in loneliness were more substantial for people with intellectual or learning disabilities, psychological disability, and brain injury or stroke. CONCLUSION: This study confirms that people with disability have increased risk of loneliness compared to people without disability. We add to the existing evidence by demonstrating that disability-related inequalities in loneliness have persisted for two decades in Australia without improvement. Our findings indicate that addressing inequalities in loneliness for people with disability is a critical public health concern given that loneliness is associated with a wide range of poor health outcomes.

Disability and loneliness in the United Kingdom: cross-sectional and longitudinal analyses of trends and transitions.

BACKGROUND: Loneliness can have a detrimental impact on health, yet little is known about the association between disability and loneliness. METHODS: Secondary analysis of three waves of data collected between 2017 and 2020 by the UK's annual household panel study, Understanding Society. Direct age-standardisation was used to compare the prevalence of loneliness at each wave and the persistence of loneliness across all three waves for participants with/without disabilities aged 16-65 years. Transitional probabilities for the stability of loneliness, the stability of non-loneliness, the onset of loneliness and the offset of loneliness between consecutive waves were also estimated. RESULTS: At each wave, the prevalence of loneliness was significantly higher among respondents with disabilities than respondents without disabilities; these inequalities persisted with no evidence of change over time. The prevalence of persistent loneliness was 46% for respondents with disabilities compared with 22% for respondents without disabilities. Risk factors for the likelihood of persistent loneliness included disability, financial stress, not living as a couple, living in rented accommodation, being female and not being employed. The probability of the onset and stability of loneliness between successive waves were markedly higher for people with disabilities compared with people without disabilities. CONCLUSION: Adults with disabilities were more likely to experience loneliness, become lonely and remain lonely over time than their peers. Policies and interventions aimed at reducing loneliness should ensure that they are accessible and effective for people with disabilities. Further research is needed to explore the health outcomes of persistent loneliness among people with/without disabilities.

The double burden of poverty and marital loss on the mental health of older Australian women; a longitudinal regression analysis using 17 annual waves of the HILDA cohort.

PURPOSE: Compared to men, older women have poorer mental health and are more vulnerable to poverty, especially when living alone. However, few studies have examined how gender, marital status and poverty are inter-related and are associated with mental health. This study examines the gendered associations between relative poverty, marital status and mental health in older Australians. METHODS: Drawing on 17 waves of the HILDA Survey, fixed-effects longitudinal regression analysis was utilised to examine the association between: (1) relative poverty (< 50% median household income) and mental health (MHI-5); (2) marital status and poverty, in a cohort of Australians aged 65 + years. We then examined effect modification of the association between relative poverty and mental health by marital status. RESULTS: Within-person associations, stratified by gender, showed that women in relative poverty reported poorer mental health than when not in relative poverty, however no association was observed for men. Being divorced/separated was associated with increased odds of relative poverty for women, but not men. Widowhood was strongly associated with relative poverty in women, and also among men, albeit a smaller estimate was observed for men. There was no evidence of effect modification of the relationship between relative poverty and mental health by marital status for either men or women. CONCLUSION: This study provides evidence that relative poverty is a major determinant of mental health in older Australian women. Addressing gender inequities in lifetime savings, as well as in division of acquired wealth post marital loss, may help reduce these disparities.

Gendered associations between household labour force participation and mental health using 17 waves of Australian cohort data.

PURPOSE: There is some evidence that employed women report more time pressure and work-life penalties than employed men and other women; however little is known about whether this exerts a mental health effect. This analysis examined associations between household labour force arrangements (household-employment configuration) and the mental health of men and women. METHODS: Seventeen waves of data from the Household Income and Labour Dynamics Survey (2001-2017) were used. Mental health was measured using the Mental Health Inventory (MHI-5). A six-category measure of household-employment configuration was derived: dual full-time employed, male-breadwinner, female-breadwinner, shared part-time employment (both part-time), male full-time/female part-time (modified male-breadwinner, MMBW), and female full-time/male part-time. Using fixed-effects regression methods, we examined the within-person effects of household-employment configuration on mental health after controlling for time-varying confounders. RESULTS: For men, being in the female-breadwinner configuration was associated with poorer mental health compared to being in the MMBW configuration (ß-1.98, 95% CI - 3.36, - 0.61). The mental health of women was poorer when in the male-breadwinner configuration, compared to when in the MMBW arrangement (ß-0.89, 95% CI - 1.56, - 0.22). CONCLUSION: These results suggest that the mental health of both men and women is poorer when not in the labour force, either as a man in the female-breadwinner arrangement, or as a woman in the male-breadwinner arrangement. These results are particularly noteworthy for women, because they pertain to a sizeable proportion of the population who are not in paid work, and highlight the need for policy reform to support women's labour force participation.

Breadwinners and Losers: Does the Mental Health of Mothers, Fathers, and Children Vary by Household Employment Arrangements? Evidence From 7 Waves of Data From the Longitudinal Study of Australian Children.

In Australia, as in many industrialized countries, the past 50 years have been marked by increasing female labor-force participation. It is popularly speculated that this might impose a mental-health burden on women and their children. This analysis aimed to examine the associations between household labor-force participation (household employment configuration) and the mental health of parents and children. Seven waves of data from the Longitudinal Study of Australian Children were used, comprising 2004-2016, with children aged 4-17 years). Mental health outcome measures were the Strengths and Difficulties Questionnaire (children/adolescents) and 6-item Kessler Psychological Distress Scale (parents). A 5-category measure of household employment configuration was derived from parental reports: both parents full-time, male-breadwinner, female-breadwinner, shared-part-time employment (both part-time) and father full-time/mother part-time (1.5-earner). Fixed-effects regression models were used to compare within-person effects, controlling for time-varying confounders. For men, the male-breadwinner configuration was associated with poorer mental health compared with the 1.5-earner configuration (ß = 0.21, 95% confidence interval: 0.05, 0.36). No evidence of association was observed for either women or children. This counters prevailing social attitudes, suggesting that neither children nor women are adversely affected by household employment configuration, nor are they disadvantaged by the extent of this labor-force participation. Men's mental health appears to be poorer when they are the sole household breadwinner.

The effect of gender on mental health service use: an examination of mediation through material, social and health-related pathways.

PURPOSE: We aimed to understand how much of the gender difference in mental health service use could be due to the joint mediation of employment, behavioural and material factors, social support and mental health need. METHODS: We used data from employed individuals aged 18-65 years who participated in the 2015-2017 waves of the Household, Income and Labour Dynamics in Australia survey. The exposure (male, female) and confounders were measured in 2015, mediators in 2016 and the outcome-whether a person had seen a mental health professional in the previous year-was measured in 2017. We estimated natural mediation effects using weighted counterfactual predictions from a logistic regression model. RESULTS: Men were less likely to see a mental health care provider than women. The total causal effect on the risk difference scale was - 0.045 (95% CI - 0.056, - 0,034). The counterfactual of men taking the mediator values of women explained 28% (95% CI 1.7%, 54%) of the total effect, with the natural direct effect estimated to represent an absolute risk difference of - 0.033 (95% CI - 0.048, - 0.018) and the natural indirect effect - 0.012 (95% CI - 0.022, - 0.0027). CONCLUSION: Gendered differences in the use of mental health services could be reduced by addressing inequalities in health, employment, material and behavioural factors, and social support.

The cumulative effect of living with disability on mental health in working-age adults: an analysis using marginal structural models.

PURPOSE: Previous studies have shown that acquiring a disability is associated with a reduction in mental health, but they have not considered the cumulative impact of having a disability on mental health. We used acquisition of a non-psychological disability to estimate the association of each additional year lived with disability on mental health (measured using the Mental Component Summary score of the Short Form Health Survey). METHODS: We used the first 13 waves of data (years 2001-2013) from the Household, Income and Labour Dynamics in Australia Survey. The sample included 4113 working-age (18-65 years) adults who were disability-free at waves 1 and 2. We fitted marginal structural models with inverse probability weights to estimate the association of each additional year of living with disability on mental health, employing multiple imputation to handle the missing data. RESULTS: Of the 4113 participants, 7.7 percent acquired a disability. On average, each additional year lived with disability was associated with a decrease in the mean Mental Component Summary score (ß = - 0.42; 95% CI - 0.71, - 0.14). CONCLUSIONS: This study provides evidence that each additional year lived with non-psychological disability is associated with a decline in mental health among working-age Australians.

Mental health of adolescents: variations by borderline intellectual functioning and disability.

Adolescence is a period of elevated stress for many young people, and it is possible that the challenges of adolescence are different for vulnerable groups. We aimed to document the depressive and anxiety symptoms, emotional-behavioural difficulties and suicidal/self-harming behaviours among adolescents with borderline intellectual functioning (BIF) or a disability, compared to those with neither disability nor BIF. Data were drawn from the nationally representative Longitudinal Study of Australian Children. Participants were 2950 adolescents with complete data for waves 3-6 (years 2008-2014), aged 14-15 years in 2014. Anxiety and depression symptoms and self-harming/suicidal thought/behaviours were self-reported. Emotional-behavioural difficulties items came from the Strengths and Difficulties Questionnaire, and were parent-, and adolescent-reported. Results of logistic regression analyses indicate that the emotional-behavioural difficulties of adolescents with either a disability or BIF, were worse than for those with neither disability nor BIF. While adolescents with a disability reported more anxiety symptoms, no clear associations were observed for self-harming/suicidal thoughts/behaviours or depressive symptoms for those with either BIF or a disability. Adolescents with BIF or a disability are at higher risk of poor mental health than those with neither disability nor BIF, and it is vital that factors contributing to these differences are identified in order to reduce these mental health inequalities.

Neighborhood Disadvantage and Body Mass Index: A Study of Residential Relocation.

Natural experiments, such as longitudinal observational studies that follow-up residents as they relocate, provide a strong basis to infer causation between the neighborhood environment and health. In this study, we examined whether changes in the level of neighborhood disadvantage were associated with changes in body mass index (BMI) after residential relocation. This analysis included data from 928 residents who relocated between 2007 and 2013, across 4 waves of the How Areas in Brisbane Influence Health and Activity (HABITAT) study in Brisbane, Australia. Neighborhood disadvantage was measured using a census-derived composite index. For individual-level data, participants self-reported their height, weight, education, occupation, and household income. Data were analyzed using multilevel, hybrid linear models. Women residing in less disadvantaged neighborhoods had a lower BMI, but there was no association among men. Neighborhood disadvantage was not associated with within-individual changes in BMI among men or women when moving to a new neighborhood. Despite a growing body of literature suggesting an association between neighborhood disadvantage and BMI, we found this association may not be causal among middle-aged and older adults. Observing associations between neighborhood socioeconomic disadvantage and BMI over the life course, including the impact of residential relocation at younger ages, remains a priority for future research.

The levonorgestrel intrauterine device in Australia: analysis of prescribing data 2008-2012.

BACKGROUND: Unplanned pregnancy is a significant problem in Australia. Local data pertaining to use of the levonorgestrel-releasing intra-uterine device (LNG-IUD), and associated factors are limited. The aim of this analysis was to calculate prescribing rates of the LNG-IUD in Australia, including trends in prescribing and associations with socio-demographic factors, in order to increase understanding regarding potential use. METHODS: We examined prescriptions for the LNG-IUD recorded in the national Pharmaceutical Benefits Scheme (PBS) from 2008 to 2012. Prescribing trends were examined according to patient age, remoteness of residential location, and proximity to relevant specialist health services. Associations between these factors and prescription rates were examined using poisson regression. Analyses were stratified by 5-year age-groups. RESULTS: Age-adjusted prescription rates rose from 11.50 per 1000 women aged 15-49 (95% CI: 11.41-11.59) in 2008 to 15.95 (95% CI:15.85-16.01) in 2012. Prescription rates increased most among 15-19-year-olds but remain very low at 2.76 per 1000 women (95% CI: 2.52-3.01). Absolute increases in prescriptions were greatest among 40-44-year-olds, rising from 16.73 per 1000 women in 2008 (95% CI: 16.12-17.34) to 23.77 in 2012 (95% CI: 22.58-24.29). Rates increased significantly within all geographical locations (p < 0.01). Non-metropolitan location was significantly associated with increased prescribing rates, the association diminishing with increasing age groups. CONCLUSIONS: Prescription of LNG-IUD in Australia is very low, especially among young women and those in major cities. Service providers and young women may benefit from targeted education outlining use of the LNG-IUD, strengthened training and referral pathways. Disparities in prescription according to location require further investigation.

Bullying Victimization and Racial Discrimination Among Australian Children.

OBJECTIVES: To compare the prevalence of bullying victimization and racial discrimination by ethnicity. METHODS: We completed a cross-sectional analysis of 3956 children aged 12 to 13 years from wave 5 (2011-2012) of the nationally representative Longitudinal Study of Australian Children. RESULTS: Bullying victimization and racial discrimination were weakly associated and differently patterned by ethnicity. Children from visible minorities reported less bullying victimization but more racial discrimination than did their peers with Australian-born parents. Indigenous children reported the highest risk of bullying victimization and racial discrimination. CONCLUSIONS: Peer victimization and racial discrimination each require specific attention as unique childhood stressors. A focus on general bullying victimization alone may miss unique stress exposures experienced by children from stigmatized ethnic backgrounds.

Socioeconomic position in young adulthood is associated with BMI in Australian families.

BACKGROUND: Low socioeconomic position (SEP) is associated with increased cardiovascular (CV) disease risk, but the relative importance of SEP in childhood and adulthood, and of changes in SEP between these two life stages, remains unclear. Studies of families may help clarify these issues. We aimed to assess whether SEP in young adulthood, or change in SEP from childhood to young adulthood, was associated with five continuously measured CV risk factors. METHODS: We used data from 286 adult Australian families from the Victorian Family Heart Study (VFHS), in which some offspring have left home (n = 364) and some remained at home (n = 199). SEP (defined as the Index of Relative Socioeconomic Disadvantage) was matched to addresses. We fitted variance components models to test whether young adult SEP and/or change in SEP was associated with systolic blood pressure, diastolic blood pressure, body mass index (BMI), total cholesterol or high-density lipoprotein cholesterol, after adjustment for parental SEP and within-family correlation. RESULTS: An increase in SEP of 100 SEIFA units from childhood to adulthood was associated with a lower BMI (ß = -0.49 kg/m(2), P < 0.01) only. CONCLUSIONS: These results suggest that a change in SEP in young adulthood is an important predictor of BMI, independent of childhood SEP.

Inequalities in socio-economic characteristics and health and wellbeing of men with and without disabilities: a cross-sectional analysis of the baseline wave of the Australian Longitudinal Study on Male Health.

BACKGROUND: Internationally, men with disabilities have higher rates of social and economic disadvantage and poorer health and wellbeing than men without disabilities. No single study has provided comprehensive, population-level information about the magnitude of such differences among adult men using a well-validated instrument to measure disability. METHODS: We analysed baseline data from Ten to Men - an Australian longitudinal study of male health. Ten to Men used a stratified multi-stage cluster random sample design to recruit a national sample of males aged 10 to 55 years residing in private dwellings. Data were collected between October 2013 and July 2014 from 15,988 males. This analysis was restricted to 18-55 year old participants with data available on age and disability (n = 13,569). We compared the demographic, socio-economic characteristics and health and wellbeing of men with and without disabilities using chi squared tests for proportions and t tests for continuous variables. Linear regression adjusted for age was used to assess the association between disability status and health and wellbeing, which were measured using the SF-12 mental and physical health component scores and the Personal Wellbeing Index. RESULTS: Men with disabilities were older and more likely to be born in Australia, speak English at home, be Aboriginal and Torres Strait Islander and were less likely to be married or de facto, or to live in urban areas. They were less likely to have completed secondary school, be employed and live in affordable housing, and were more likely to live on low incomes, in more socio-economically disadvantaged areas, and in rental accommodation and to experience shortages of money. Among employed men, those with disabilities were less likely to be in high skilled jobs, worked less hours on average, and were more likely to report that they would prefer to work more. Men with disabilities had lower levels of social support and community participation and poorer mental and physical health and overall wellbeing. CONCLUSION: Adult men with disabilities experience marked social and economic disadvantage and poorer health and wellbeing. Improving the health and wellbeing of disabled men should be a priority for public health researchers and policy-makers.

Sickness absence and psychosocial job quality: an analysis from a longitudinal survey of working Australians, 2005-2012.

Sickness absence is associated with adverse health, organizational, and societal outcomes. Using data from a longitudinal cohort study of working Australians (the Household, Income and Labour Dynamics in Australia (HILDA) Survey), we examined the relationship between changes in individuals' overall psychosocial job quality and variation in sickness absence. The outcome variables were paid sickness absence (yes/no) and number of days of paid sickness absence in the past year (2005-2012). The main exposure variable was psychosocial job quality, measured using a psychosocial job quality index (levels of job control, demands and complexity, insecurity, and perceptions of unfair pay). Analysis was conducted using longitudinal fixed-effects logistic regression models and negative binomial regression models. There was a dose-response relationship between the number of psychosocial job stressors reported by an individual and the odds of paid sickness absence (1 adversity: odds ratio (OR) = 1.26, 95% confidence interval (CI): 1.09, 1.45 (P = 0.002); 2 adversities: OR = 1.28, 95% CI: 1.09, 1.51 (P = 0.002); ≥3 adversities: OR = 1.58, 95% CI: 1.29, 1.94 (P < 0.001)). The negative binomial regression models also indicated that respondents reported a greater number of days of sickness absence in response to worsening psychosocial job quality. These results suggest that workplace interventions aiming to improve the quality of work could help reduce sickness absence.

Employment arrangements and mental health in a cohort of working Australians: are transitions from permanent to temporary employment associated with changes in mental health?

We investigated whether being in temporary employment, as compared with permanent employment, was associated with a difference in Short Form 36 mental health and whether transitions from permanent employment to temporary employment were associated with mental health changes. We used fixed-effects regression in a nationally representative Australian sample with 10 waves of data collection (2001-2010). Interactions by age and sex were tested. Two forms of temporary employment were studied: "casual" (no paid leave entitlements or fixed hours) and "fixed-term contract" (a defined employment period plus paid leave). There were no significant mental health differences between temporary employment and permanent employment in standard fixed-effects analyses and no significant interactions by sex or age. For all age groups combined, there were no significant changes in mental health following transitions from stable permanent employment to temporary employment, but there was a significant interaction with age (P = 0.03) for the stable-permanent-to-casual employment transition, because of a small transition-associated improvement in mental health for workers aged 55-64 years (ß = 1.61, 95% confidence interval: 0.34, 2.87; 16% of the standard deviation of mental health scores). Our analyses suggest that temporary employment is not harmful to mental health in the Australian context and that it may be beneficial for 55- to 64-year-olds transitioning from stable permanent employment to casual employment.

Breast cancer screening of women aged 70-74 years: results from a natural experiment across Australia.

There is a lack of evidence regarding the optimal age at which to cease mammographic screening for breast cancer. This ecological study compared Australian state and territory level screening participation rates and cancer outcomes from 1996 to 2005 to identify the extent to which screening women aged 70-74 results in smaller, earlier stage breast cancers. With each 10 % absolute increase in screening participation, there was no significant difference in cancer incidence, but the incidence of large cancers was 8 % lower (IRR = 0.92, 95 % CI 0.90-0.94, p < 0.001); there was some evidence of reduced nodal involvement at diagnosis (IRR 0.97, 95 % CI 0.95-0.99, p = 0.004) but this estimate was sensitive to assumptions regarding missing data. Increased mammographic screening of women aged 70-74 years reduces the incidence of large (>15 mm) cancers-and possibly cancers with nodal involvement-without a concomitant increase in overall cancer incidence.

Examining variation in the relationship between disability and physical activity across Australian local government areas.

Understanding the relationship between disability and physical activity and whether it differs across local government jurisdictions may aid in the development of placed-based approaches to reducing disability-related inequalities in physical activity. The objectives of this study were to examine the association between disability and physical activity and assess whether this association varied between Australian Local Government Areas. The sample included 13,315 participants aged 18-64 years from the Household Income and Labour Dynamics Australia Survey, 2017. Participants self-reported disability and physical activity. Linear mixed-effects models estimated the association between disability and physical activity. People with disability reported less physical activity per week. We did not find evidence that this association varied across LGAs. Our findings do not add evidence towards local government-based approaches in Australia to reducing physical activity inequalities between people with and without a disability.

AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes.

INTRODUCTION: While Cumulus - a semi-automated method for measuring breast density - is utilised extensively in research, it is labour-intensive and unsuitable for screening programmes that require an efficient and valid measure on which to base screening recommendations. We develop an automated method to measure breast density (AutoDensity) and compare it to Cumulus in terms of association with breast cancer risk and breast cancer screening outcomes. METHODS: AutoDensity automatically identifies the breast area in the mammogram and classifies breast density in a similar way to Cumulus, through a fast, stand-alone Windows or Linux program. Our sample comprised 985 women with screen-detected cancers, 367 women with interval cancers and 4,975 controls (women who did not have cancer), sampled from first and subsequent screening rounds of a film mammography screening programme. To test the validity of AutoDensity, we compared the effect estimates using AutoDensity with those using Cumulus from logistic regression models that tested the association between breast density and breast cancer risk, risk of small and large screen-detected cancers and interval cancers, and screening programme sensitivity (the proportion of cancers that are screen-detected). As a secondary analysis, we report on correlation between AutoDensity and Cumulus measures. RESULTS: AutoDensity performed similarly to Cumulus in all associations tested. For example, using AutoDensity, the odds ratios for women in the highest decile of breast density compared to women in the lowest quintile for invasive breast cancer, interval cancers, large and small screen-detected cancers were 3.2 (95% CI 2.5 to 4.1), 4.7 (95% CI 3.0 to 7.4), 6.4 (95% CI 3.7 to 11.1) and 2.2 (95% CI 1.6 to 3.0) respectively. For Cumulus the corresponding odds ratios were: 2.4 (95% CI 1.9 to 3.1), 4.1 (95% CI 2.6 to 6.3), 6.6 (95% CI 3.7 to 11.7) and 1.3 (95% CI 0.9 to 1.8). Correlation between Cumulus and AutoDensity measures was 0.63 (P < 0.001). CONCLUSIONS: Based on the similarity of the effect estimates for AutoDensity and Cumulus inmodels of breast density and breast cancer risk and screening outcomes, we conclude that AutoDensity is a valid automated method for measuring breast density from digitised film mammograms.