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BACKGROUND: While policies to reduce smoking in many countries have been successful, disadvantaged groups (such as low-income groups) have only seen minor gains. People with disability are one such disadvantaged group and are more likely to smoke. However, evidence is limited on trends and inequalities in smoking for disabled people and on whether those also on low incomes are more likely to smoke. METHODS: We use annual data from 2001 to 2020 of the Household Income and Labour Dynamics in Australia survey. We use a Bayesian model to estimate smoking prevalence trends and inequalities for people with disability (2020, n = 1,370) and without disability (2020, n = 6,229) across the whole population and within income tertiles. To avoid reverse causation (smoking causing disability), we focus on younger people (15-44 years). RESULTS: Absolute reductions (per 100 people, [95% credible intervals]) in smoking were similar for people with (-13 [-16, -11]) and without disability (-15 [-16, -14]), with stable absolute but increasing relative inequalities. In the low-income group, absolute reductions in smoking prevalence for people with disability (-10 [-14, -6]) were smaller than in people without disability (-14 [-15, -12]), resulting in moderate evidence for increasing absolute inequalities (4 [0, 8]) and strong evidence for increasing relative inequalities. In high-income groups, disability-related absolute inequalities narrowed (-6 [-10, -3]), and relative inequalities were stable. CONCLUSIONS: Disabled people in Australia, especially those on low incomes, show signs of being left behind in efforts to reduce smoking.

ISSUE ADDRESSED: COVID-19 vaccination is the cornerstone of managing Australia's COVID-19 pandemic and the success of the vaccination program depends on high vaccination coverage. This paper examined differences in COVID-19 vaccination coverage and vaccine hesitancy for people with disability, long-term health conditions, and carers - subgroups that were prioritised in Australia's vaccination program. METHODS: Using data from 2400 Australians who participated in two waves of the Taking the Pulse of the Nation survey in April and May 2021, we described vaccination coverage and hesitancy among people with disability, severe mental health conditions, severe long-term health conditions, frequent need for assistance with everyday activities, and carers. RESULTS: Vaccination coverage was estimated to be 8.2% in the population overall and was similar for people with disability, those with frequent need for assistance, and carers. It was higher for people with severe long-term health conditions (13.4%) and lower for people with severe mental health conditions (4.3%). Vaccine hesitancy was high overall (35.6%) and was similarly high across the priority groups, with only small differences for people with disability, severe long-term health conditions and frequent need for assistance. CONCLUSIONS: This study highlights a lack of difference in vaccination coverage for people with disability, long-term health conditions, and carers compared to the general population. So what? Sub-optimal vaccination coverage for people in the priority groups leaves many people at significant risk of serious disease or death if exposed to COVID-19, particularly in light of easing of disease-control restrictions across Australia and the emergence of new variants.

Background: While emerging evidence shows increased mortality from COVID-19 among people with disability, evidence regarding whether there are disability-related inequalities in health during the pandemic is lacking. Objective: This study compares access to COVID-19 and non-COVID-19 related health care and mental health of people with and without disability. Methods: Longitudinal analysis of 12,703 adults (16–64 years) who participated in W9 (2017–2019) and the April and/or May COVID-19 special surveys of the UK Understanding Society study. Descriptive analyses and Poisson regression (adjusted for age, gender, ethnicity and financial stress) were conducted to estimate associations between disability (measured at Wave 9) and a number of different COVID-19-related health and health care outcomes (COVID-19 symptoms, testing and hospitalisation), mental health and loneliness, and non-COVID-19 related health care (e.g. outpatient and inpatient hospital care, prescription medications). Results: Results from the fully-adjusted regression models found that people with disability were more likely: to be hospitalised if symptomatic (adjusted PRR 3.0 95% 1.07–8.43); to experience current symptoms of psychological distress (PRR 1.15, 95% CI 1.05–1.26) and to report being lonely (PRR 1.75, 95% CI 1.46–2.09) compared to non-disabled people. People with disability reported much higher levels of comorbidities than people without disability. However, inability to access health care and treatment were similar. Conclusions: As the UK opens up, it is important that health care services and social policy address the poor mental health and social isolation of people with disability so that the inequalities occurring early in the pandemic do not become further entrenched.

Background: Little is known about the exposure of youth with disability to cyber victimisation. Objective: /Hypothesis: To estimate the prevalence of peer cyber and non-cyber victimisation in a nationally representative sample of 14-year-old adolescents with and without disability and to determine whether gender moderates the relationship between disability and exposure to victimisation. Methods: Secondary analysis of data collected in Wave 6 of the UK's Millennium Cohort Survey on 11,726 14-year-old adolescents living in the UK. Results: Adolescents with disability had higher prevalence of cyber and non-cyber victimisation than those with no disability. For cyber victimisation there was a statistically significant interaction between gender and disability, with evidence of increased cyber victimisation for adolescents with disability compared to those with no disability among girls, but not boys. For non-cyber victimisation there was no evidence of an interaction between gender and disability. Conclusions: The prevalence of both cyber and non-cyber victimisation was higher among adolescents with disability than those with no disability. The association between disability and risk of exposure to peer cyber victimisation appears to be moderated by gender.

Concern has been expressed about the extent to which people with disabilities may be particularly vulnerable to negative impacts of the 2020 COVID-19 pandemic. However, to date little published research has attempted to characterise or quantify the risks faced by people with/without disabilities in relation to COVID-19. We sought to compare the impact of the early stages of the COVID-19 pandemic and associated government responses among working age adults with and without disabilities in the UK on; COVID-19 outcomes, health and wellbeing, employment and financial security, health behaviours, and conflict and trust. We undertook secondary analysis of data collected in four UK longitudinal surveys; the Millennium Cohort Study, Next Steps, the British Cohort Study and the National Child Development Study. Combining analyses across surveys with random effects meta-analysis, there was evidence that people with disabilities were significantly more likely to report having had COVID-19 and had significantly increased levels of stress, less exercise, poorer sleep patterns, more conflict with their partner and others in their local area, and to have less trust in the government. While most outcomes did not differ significantly between participants with and without disability, the findings suggest that in the early days of COVID-19 a detrimental impact emerges for those with disabilities which is more pronounced among older people with disabilities. Future research is needed to determine the longer-term impact of the pandemic.

Large inequalities in health and well-being exist between people with and without disability, in part due to poor socio-economic circumstances, and potentially also related to societal factors including issues associated with accessibility and participation. To better understand the contribution of societal factors, we used a unique longitudinal survey of disability in Great Britain to quantify the extent to which barriers to participation contribute to poorer health and well-being. We used data from 2354 individuals who participated in three waves of the Life Opportunities Survey between 2009 and 2014 and compared five health and well-being outcomes (self-rated health, anxiousness, life satisfaction, life worth, happiness) between adults who acquired an impairment and those who remained disability-free. Causal mediation analysis was conducted to quantify how much of the effect of disability acquisition on each outcome was explained by barriers to participation in employment, economic life, transport, community, leisure and civic activities, social contact, and accessibility. People who recently acquired a disability had poorer health and well-being compared to people with no disability. Barriers to participation explained 15% of inequalities in self-rated health, 28% for anxiousness, 32% for life satisfaction, 37% for life worth, and 70% for happiness. A substantial proportion of the inequalities in health and well-being experienced by people with recently acquired disability were socially produced, driven by barriers to participation in different life domains. Furthermore, there was evidence that barriers to participation mediated the effect of well-being measured to a greater extent than the more clinically aligned measures, self-reported health and anxiousness. These findings highlight modifiable factors amenable to public health interventions that could lead to substantial improvements in health and well-being for people with disability.

Background: While emerging evidence shows increased mortality from COVID-19 among people with disability, evidence regarding whether there are disability-related inequalities in health during the pandemic is lacking. Objective: This study compares access to COVID-19 and non-COVID-19 related health care and mental health of people with and without disability. Methods: Longitudinal analysis of 12,703 adults (16–64 years) who participated in W9 (2017–2019) and the April and/or May COVID-19 special surveys of the UK Understanding Society study. Descriptive analyses and Poisson regression (adjusted for age, gender, ethnicity and financial stress) were conducted to estimate associations between disability (measured at Wave 9) and a number of different COVID-19-related health and health care outcomes (COVID-19 symptoms, testing and hospitalisation), mental health and loneliness, and non-COVID-19 related health care (e.g. outpatient and inpatient hospital care, prescription medications). Results: Results from the fully-adjusted regression models found that people with disability were more likely: to be hospitalised if symptomatic (adjusted PRR 3.0 95% 1.07–8.43); to experience current symptoms of psychological distress (PRR 1.15, 95% CI 1.05–1.26) and to report being lonely (PRR 1.75, 95% CI 1.46–2.09) compared to non-disabled people. People with disability reported much higher levels of comorbidities than people without disability. However, inability to access health care and treatment were similar. Conclusions: As the UK opens up, it is important that health care services and social policy address the poor mental health and social isolation of people with disability so that the inequalities occurring early in the pandemic do not become further entrenched.

Background: Little is known about the exposure of youth with disability to cyber victimisation. Objective: /Hypothesis: To estimate the prevalence of peer cyber and non-cyber victimisation in a nationally representative sample of 14-year-old adolescents with and without disability and to determine whether gender moderates the relationship between disability and exposure to victimisation. Methods: Secondary analysis of data collected in Wave 6 of the UK's Millennium Cohort Survey on 11,726 14-year-old adolescents living in the UK. Results: Adolescents with disability had higher prevalence of cyber and non-cyber victimisation than those with no disability. For cyber victimisation there was a statistically significant interaction between gender and disability, with evidence of increased cyber victimisation for adolescents with disability compared to those with no disability among girls, but not boys. For non-cyber victimisation there was no evidence of an interaction between gender and disability. Conclusions: The prevalence of both cyber and non-cyber victimisation was higher among adolescents with disability than those with no disability. The association between disability and risk of exposure to peer cyber victimisation appears to be moderated by gender.

BACKGROUND: Exposure to discrimination can have a negative impact on health. There is little robust evidence on the prevalence of exposure of people with disabilities to discrimination, the sources and nature of discrimination they face, and the personal and contextual factors associated with increased risk of exposure. METHODS: Secondary analysis of de-identified cross-sectional data from the three waves of the UK's 'Life Opportunities Survey'. RESULTS: In the UK (i) adults with disabilities were over three times more likely than their peers to be exposed to discrimination, (ii) the two most common sources of discrimination were strangers in the street and health staff and (iii) discrimination was more likely to be reported by participants who were younger, more highly educated, who were unemployed or economically inactive, who reported financial stress or material hardship and who had impairments associated with hearing, memory/speaking, dexterity, behavioural/mental health, intellectual/learning difficulties and breathing. CONCLUSIONS: Discrimination faced by people with disabilities is an under-recognised public health problem that is likely to contribute to disability-based health inequities. Public health policy, research and practice needs to concentrate efforts on developing programs that reduce discrimination experienced by people with disabilities.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic may have a greater impact on people with disabilities than non-disabled people. Our aim was to compare the short-term impact of the 2020 COVID-19 pandemic and first lockdown on the employment and financial security of working age adults with and without disabilities in the UK. METHODS: Secondary analysis of data collected in Wave 9 and the special April, May and June COVID-19 monthly surveys of 'Understanding Society', the UK's main annual household panel study. RESULTS: During the first 3 months of the introduction of the COVID-19 lockdown in the UK, respondents with disability were more likely than their peers to be working reduced hours and experience higher levels of financial stress. These differences were attenuated, but not eliminated, when estimates were adjusted to take account of pre-lockdown financial status. CONCLUSIONS: Working age adults with disability were particularly disadvantaged by the financial impact of the COVID-19 lockdown in the UK. The UN Secretary-General António Guterres has stated the need for a disability-inclusive COVID-19 government response. The results of our analysis suggest that these pleas have either not been heeded, or if measures have been implemented, they have so far been ineffectual in the UK.

BACKGROUND: While emerging evidence shows increased mortality from COVID-19 among people with disability, evidence regarding whether there are disability-related inequalities in health during the pandemic is lacking. OBJECTIVE: This study compares access to COVID-19 and non-COVID-19 related health care and mental health of people with and without disability. METHODS: Longitudinal analysis of 12,703 adults (16-64 years) who participated in W9 (2017-2019) and the April and/or May COVID-19 special surveys of the UK Understanding Society study. Descriptive analyses and Poisson regression (adjusted for age, gender, ethnicity and financial stress) were conducted to estimate associations between disability (measured at Wave 9) and a number of different COVID-19-related health and health care outcomes (COVID-19 symptoms, testing and hospitalisation), mental health and loneliness, and non-COVID-19 related health care (e.g. outpatient and inpatient hospital care, prescription medications). RESULTS: Results from the fully-adjusted regression models found that people with disability were more likely: to be hospitalised if symptomatic (adjusted PRR 3.0 95% 1.07-8.43); to experience current symptoms of psychological distress (PRR 1.15, 95% CI 1.05-1.26) and to report being lonely (PRR 1.75, 95% CI 1.46-2.09) compared to non-disabled people. People with disability reported much higher levels of comorbidities than people without disability. However, inability to access health care and treatment were similar. CONCLUSIONS: As the UK opens up, it is important that health care services and social policy address the poor mental health and social isolation of people with disability so that the inequalities occurring early in the pandemic do not become further entrenched.

OBJECTIVES: There is evidence that disability acquisition causes a decline in mental health, but few studies have examined the causal mechanisms through which the effect operates. This study used a novel approach to mediation analysis to quantify interventional indirect effects (IIEs) through employment and income. DESIGN AND SETTING: We used four waves of longitudinal data (2011-2014) from the Household, Income and Labour Dynamics in Australia Survey, a nationally representative survey of Australian households. PARTICIPANTS: Working aged individuals who acquired a disability (n=233) were compared with those who remained disability-free in all four waves (n=5419). PRIMARY OUTCOME MEASURE: Self-reported mental health was measured using the Mental Health Inventory subscale of the Short Form 36 general health questionnaire, which measures symptoms of depression, anxiety and psychological well-being. STATISTICAL ANALYSIS: We conducted a causal mediation analysis quantifying IIEs of disability acquisition on mental health operating through two distinct mediators: employment status and income. We used multiple imputation with 50 imputed datasets to account for missing data. RESULTS: The total causal effect of disability acquisition on mental health was estimated to be a 4.8-point decline in mental health score (estimated mean difference: -4.8, 95% CI -7.0 to -2.7). The IIE through employment was estimated to be a 0.5-point difference (-0.5, 95% CI -1.0 to 0.0), accounting for 10.6% of the total effect, whereas there was no evidence that income explained any of the effects. CONCLUSIONS: This study estimated that disability-related mental health inequalities could be reduced by 10.6% if employment rates were the same for people with disability as those without disability. The results suggest that employment is implicated in the relationship between disability acquisition and mental health and that more research is needed to understand the influence of other aspects of emplo

BACKGROUND: Little is known about the exposure of youth with disability to cyber victimisation. OBJECTIVE: /Hypothesis: To estimate the prevalence of peer cyber and non-cyber victimisation in a nationally representative sample of 14-year-old adolescents with and without disability and to determine whether gender moderates the relationship between disability and exposure to victimisation. METHODS: Secondary analysis of data collected in Wave 6 of the UK's Millennium Cohort Survey on 11,726 14-year-old adolescents living in the UK. RESULTS: Adolescents with disability had higher prevalence of cyber and non-cyber victimisation than those with no disability. For cyber victimisation there was a statistically significant interaction between gender and disability, with evidence of increased cyber victimisation for adolescents with disability compared to those with no disability among girls, but not boys. For non-cyber victimisation there was no evidence of an interaction between gender and disability. CONCLUSIONS: The prevalence of both cyber and non-cyber victimisation was higher among adolescents with disability than those with no disability. The association between disability and risk of exposure to peer cyber victimisation appears to be moderated by gender.

Objectives: To estimate levels of COVID-19 vaccine hesitancy among working-age adults with disabilities in the United Kingdom. Study design: Cross-sectional survey. Methods: Secondary analysis of data collected on a nationally representative sample of 10,114 respondents aged 16–64 years . Results: The adjusted relative risk for hesitancy among respondents with a disability was 0.92 (95% CI 0.67–1.27). There were stronger associations between gender and hesitancy and ethnic status and hesitancy among participants with a disability. The most common reasons cited by people with disabilities who were hesitant were: concern about the future effects of the vaccine, not trusting vaccines and concern about the side effects of vaccination. Conclusions: The higher rates of vaccine hesitancy among women with disabilities and among people from minority ethnic groups with disabilities are concerning.

OBJECTIVES: To estimate levels of COVID-19 vaccine hesitancy among working-age adults with disabilities in the United Kingdom. STUDY DESIGN: Cross-sectional survey. METHODS: Secondary analysis of data collected on a nationally representative sample of 10,114 respondents aged 16-64 years. RESULTS: The adjusted relative risk for hesitancy among respondents with a disability was 0.92 (95% CI 0.67-1.27). There were stronger associations between gender and hesitancy and ethnic status and hesitancy among participants with a disability. The most common reasons cited by people with disabilities who were hesitant were: concern about the future effects of the vaccine, not trusting vaccines and concern about the side effects of vaccination. CONCLUSIONS: The higher rates of vaccine hesitancy among women with disabilities and among people from minority ethnic groups with disabilities are concerning.

Objectives: We sought to estimate risk of poor self-rated health (SRH) following exposure to disability-related and other forms of overt discrimination in a cohort of working age adults. Study design: The study design is a population-based cohort survey. Methods: Secondary analysis of data collected in Waves 1 and 2 of the UK's Life Opportunities Survey which at Wave 2 involved the participation of 12,789 working age adults. Adjusted prevalence rate ratios were used to estimate the impact of exposure to disability and non-disability discrimination on two measures of SRH at Wave 2, controlling for SRH status at Wave 1. Results: Exposure to disability discrimination in the previous year was reported by 3.9% of working age British adults. Other forms of discrimination were reported less frequently (age: 3.7%, ethnicity: 2.5%, gender: 1.6%, religion: 0.8%, sexual orientation: 0.4%). In all analyses, there were stronger associations between exposure to disability discrimination and poor SRH at Wave 2 when compared with exposure to other forms of discrimination. Conclusions: Disability discrimination represents a violation of human rights. It is also likely to be a major contributor to the health inequities experienced by working age adults with disability.

Purpose This prospective international study aimed to assess the changes in employment, and predictors thereof, and associated change in mental health quality of life in people with multiple sclerosis (MS). Methods People with MS were recruited online through social media, forums and newsletters to complete an online English-language survey in 2012 and again in 2015, to assess changes in employment and clinical characteristics. Results 1276 people with MS of working age were included of whom 35.9% were employed full time, 25.6% part-time, 3.1% were unemployed and seeking employment, 19.7% were retired due to disability and 15.7% were not in the labour force. Part/full time employment decreased from 61.4 to 57.1% of the sample 2.5 years later, and 25.5% experienced some change in employment status. Lower level of education and higher level of disability at baseline predicted loss of employment at follow-up. 62.0% of the sample indicated that MS impacted on employment over their lifetime, associated with a lower level of education and progressive MS at time of diagnosis. Retiring due to disability was predictive of a decreased mental health related QOL score. Conclusion Employment status was negatively impacted by MS for most participants. We showed for the first time that employment loss was prospectively associated with poorer mental health related quality of life. Employment support including vocational services, reasonable flexibility in the workplace, and legal protection against discrimination should be widely available to assist people with MS, especially for those with progressive onset MS, higher disability and lower levels of education who are at higher risk of employment loss.

BACKGROUND: International comparisons of social inequalities in health outcomes and behaviors are challenging. Due to the level of disaggregation often required, data can be sparse and methods to make adequately powered comparisons are lacking. We aimed to illustrate the value of a hierarchical Bayesian approach that partially pools country-level estimates, reducing the influence of sampling variation and increasing the stability of estimates. We also illustrate a new way of simultaneously displaying the uncertainty of both relative and absolute inequality estimates. METHODS: We used the 2014 European Social Survey to estimate smoking prevalence, absolute, and relative inequalities for men and women with and without disabilities in 21 European countries. We simultaneously display smoking prevalence for people without disabilities (x-axis), absolute (y-axis), and relative inequalities (contour lines), capturing the uncertainty of these estimates by plotting a 2-D normal approximation of the posterior distribution from the full probability (Bayesian) analysis. RESULTS: Our study confirms that across Europe smoking prevalence is generally higher for people with disabilities than for those without. Our model shifts more extreme prevalence estimates that are based on fewer observations, toward the European mean. CONCLUSIONS: We demonstrate the utility of partial pooling to make adequately powered estimates of inequality, allowing estimates from countries with smaller sample sizes to benefit from the increased precision of the European average. Including uncertainty on our inequality plot provides a useful tool for evaluating both the geographical patterns of variation in, and strength of evidence for, differences in social inequalities in health.

OBJECTIVES: We sought to estimate risk of poor self-rated health (SRH) following exposure to disability-related and other forms of overt discrimination in a cohort of working age adults. STUDY DESIGN: The study design is a population-based cohort survey. METHODS: Secondary analysis of data collected in Waves 1 and 2 of the UK's Life Opportunities Survey which at Wave 2 involved the participation of 12,789 working age adults. Adjusted prevalence rate ratios were used to estimate the impact of exposure to disability and non-disability discrimination on two measures of SRH at Wave 2, controlling for SRH status at Wave 1. RESULTS: Exposure to disability discrimination in the previous year was reported by 3.9% of working age British adults. Other forms of discrimination were reported less frequently (age: 3.7%, ethnicity: 2.5%, gender: 1.6%, religion: 0.8%, sexual orientation: 0.4%). In all analyses, there were stronger associations between exposure to disability discrimination and poor SRH at Wave 2 when compared with exposure to other forms of discrimination. CONCLUSIONS: Disability discrimination represents a violation of human rights. It is also likely to be a major contributor to the health inequities experienced by working age adults with disability.

OBJECTIVE: To assess the effect of the Australian Disability Support Pension (DSP) on the symptomology of depression and anxiety over and above the effects of reporting a disability itself. METHODS: We used the Household Income Labour Dynamics in Australia (HILDA) survey from 2004 to 2017. We used fixed effects regression to understand mental health differences (using the Mental Health Inventory-5 [MHI-5]) when a person reported: i) a disability; or ii) a disability and receiving the DSP) compared to when they reported no disability. The models controlled for time-varying changes in the severity of the disability and other time-related confounders. RESULTS: There was a 2.97-point decline (95%CI -3.26 to -2.68) in the MHI-5 when a person reported a disability compared to waves in which they reported no disability and 4.48-point decline (95%CI -5.75 to -3.22) when a person reported both a disability and being on the DSP compared to waves in which they reported neither. CONCLUSIONS: Results suggest that accessing and being in receipt of the DSP can impact the mental health of people with disabilities. Implications for public health: Government income support policies should address the unintended adverse consequences in already vulnerable populations.

Objectives A considerable proportion of the working population reports a disability. These workers may be at risk of adverse outcomes, including longer periods of sickness absence. This study examined the causal effect of disability on sickness absence and the role of psychosocial job stressors and gender as effect modifiers. Methods Data on paid and unpaid sick leave, disability (yes/no) and psychosocial job stressors were available from 2005 to 2017 from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Negative binomial models were used to model the rate of sickness absence in a year. Results In the random effects model, workers with disability had 1.20 greater rate of sickness absence in a year [95% confidence interval (CI) 1.17-1.23, P<0.001] after adjustment for confounders. The rate was slightly lower in the fixed effects model. There was evidence of multiplicative interaction of the effect by gender and job control. The effect of disability on sickness absence was greater among men than women, and higher for people with low job control compared to those with high job control. Conclusions There is a need for more research about the factors that can reduce sickness leave among workers with disabilities.

Objectives: We sought to estimate risk of poor self-rated health (SRH) following exposure to disability-related and other forms of overt discrimination in a cohort of working age adults. Study design: The study design is a population-based cohort survey. Methods: Secondary analysis of data collected in Waves 1 and 2 of the UK's Life Opportunities Survey which at Wave 2 involved the participation of 12,789 working age adults. Adjusted prevalence rate ratios were used to estimate the impact of exposure to disability and non-disability discrimination on two measures of SRH at Wave 2, controlling for SRH status at Wave 1. Results: Exposure to disability discrimination in the previous year was reported by 3.9% of working age British adults. Other forms of discrimination were reported less frequently (age: 3.7%, ethnicity: 2.5%, gender: 1.6%, religion: 0.8%, sexual orientation: 0.4%). In all analyses, there were stronger associations between exposure to disability discrimination and poor SRH at Wave 2 when compared with exposure to other forms of discrimination. Conclusions: Disability discrimination represents a violation of human rights. It is also likely to be a major contributor to the health inequities experienced by working age adults with disability.

PURPOSE: Longitudinal studies have suggested a causal relationship between disability acquisition and mental health, but there is substantial heterogeneity in the magnitude of the effect. Previous studies have provided evidence that socioeconomic characteristics can buffer the effect but have not examined the role of employment characteristics. METHODS: We used data from 17 annual waves of the Household, Income and Labour Dynamics in Australia Survey to compare the mental health of working age individuals before and after disability acquisition, using the Mental Health Inventory, a subscale of the SF-36 health questionnaire. Linear fixed-effects regression models were used to estimate the effect of disability acquisition on mental health. We tested for effect modification by two characteristics of people's employment prior to disability acquisition: occupational skill level and contract type. Multiple imputation using chained equations was used to handle missing data. RESULTS: Disability acquisition was associated with a substantial decline in mental health score (estimated mean difference: - 4.3, 95% CI - 5.0, - 3.5). There was evidence of effect modification by occupational skill level, with the largest effects seen for those in low-skilled jobs (- 6.1, 95% CI - 7.6, - 4.5), but not for contract type. CONCLUSIONS: The findings highlight the need for social and health policies that focus on increasing employment rates, improving the sustainability of employment, and providing employment services and education and training opportunities for people who acquire a disability, particularly for people in low-skilled occupations, to reduce the mental health inequalities experienced by people with disabilities.

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.

BACKGROUND: Risk factors for chronic disease include smoking, hazardous alcohol consumption, physical inactivity, unhealthy body mass index and poor diet (SNAP factors). In multiple sclerosis (MS) SNAP factors are associated with health outcomes such as disability in cross-sectional studies, but longitudinal data are lacking. OBJECTIVE: The objective of this study was to assess whether a combined SNAP risk score predicts disability worsening. METHODS: Longitudinal self-reported data from two time-points 2.5 years apart from an international survey of 1225 people with MS were used in linear regression models adjusted for potential confounding. Disability worsening was measured using the patient-derived Multiple Sclerosis Severity Score. RESULTS: The majority (62%) had two or more risk factors, with insufficient fruit and vegetable intake (83%), unhealthy body mass index (42%) and physical inactivity (33%) most common. Some SNAP factors at follow-up were associated with disability at follow-up (cross-sectionally), and in addition there was some evidence that increasing risk factors was associated with disability worsening over the 2.5 year study period. Baseline SNAP score was not predictive of disability worsening at follow-up, however. CONCLUSION: Known risk factors for morbidity and mortality were common and associated with disability cross-sectionally, but not prospectively. Further studies using longer time frames, objective measures and interventions may elucidate potential benefits from changes in risk factors on MS outcomes.

BACKGROUND: Little is known about the prevalence of emotional difficulties and self-harm among adolescents with a disability. OBJECTIVE: Our aims were: (1) to estimate the prevalence of emotional difficulties and self-harm among British adolescents with and without disability; (2) to determine whether prevalence varies by gender, severity of disability and type of functional limitation associated with disability. METHODS: Secondary analysis of age 14 data from the UK's Millennium Cohort Study. RESULTS: Adolescents with disability reported significantly higher rates of emotional difficulties and self-harm than their non-disabled peers. Among participants with and without disability, prevalence rates were notably higher among girls for most outcomes. The strength of the association between disability and emotional difficulties and self-harm was greater for: maternal report of adolescent emotional difficulties; disabled adolescents with moderate/severe activity limitations; and adolescents with psychosocial impairments. CONCLUSIONS: There is a clear need for providers of all mental health services to ensure that reasonable accommodations are made to services to ensure that they are responsive to the specific needs of adolescents with disabilities. Further research is needed to determine the extent to which our results can be generalised to adolescents in other settings, to specific subgroups of adolescents with disabilities, to other measures of emotional difficulties and to other informants. Future research is also needed to further explore the consistency and determinants of the intersection between gender by disability regarding adolescent mental health.

Employment is a fundamental Social Determinant of Health known to have large impacts on mental health and other health outcomes. Across many countries of the world, people with disabilities are much more likely to be unemployed and looking for work than those without disabilities. The deprivation of employment opportunities is likely to have notable impacts on the health of people with disabilities. In this commentary, we outline the concept of "disabling working environments," which are defined as the range of experiences that affect the likelihood of people with disabilities in obtaining and maintaining quality employment which may then affect a disabled person's health. Disabling working environments are comprised of the following three mutually reinforcing components: 1) Differential selection into work; 2) Selection into certain types of jobs and exposure to poor psychosocial working environments when in employment, and; 3) Differential selection out of work (e.g., leaving employment at an earlier age than those who do not have a disability). We argue that policy and intervention design should consider the life course effects of employment on the mental health of people with disabilities.

Objective: To report the methodology and summary data of the Health Outcomes and Lifestyle In a Sample of people with Multiple sclerosis (HOLISM) longitudinal and validation cohorts. We report (1) data on participation, socio-demographics, disease characteristics, medication use, modifiable lifestyle risk factor exposures, and health outcomes of the HOLISM longitudinal cohort 2.5-years post enrolment; (2) attrition at this 2.5-year wave; and (3) baseline characteristics of the associated HOLISM validation cohort. Methods: The HOLISM longitudinal study recruited people internationally with self-reported diagnosed multiple sclerosis (MS) through web 2.0 platforms and MS society newsletters. Participants, first recruited in 2012, were invited 2.5-years later to participate in a follow-up survey. At both time points, participants completed a comprehensive online questionnaire of socio-demographics, modifiable lifestyle exposures, and health outcomes using validated and researcher-designed tools. The same methodology was used to recruit a new sample: the HOLISM validation cohort. Characteristics were explored using summary measures. Results: Of 2,466 people with MS at baseline, 1,401 (56.8%) provided data at 2.5-year follow-up. Attrition was high, likely due to limited amount of contact information collected at baseline. Completion of the 2.5-year wave was associated with healthier lifestyle, and better health outcomes. Participants completing follow-up had diverse geographical location, were predominantly female, married, unemployed or retired. At 2.5-year follow-up, nearly 40% were overweight or obese, most were physically active, non-smokers, consumed little alcohol, used vitamin D/omega-3 supplements, and 42% reported current disease-modifying drug use. Thirty percentage of reported cane or gait disability, while 13% relied on major mobility supports (Patient Determined Disease Steps). Approximately half the respondents reported a comorbidity, 63% screened positive f

OBJECTIVES: Across high-income countries, unemployment rates among workers with disabilities are disproportionately high. The aim of this study was to identify characteristics of employment associated with dropping out of work and assess whether these were different for workers with versus without disabilities. METHODS: Using a longitudinal panel study of working Australians (2001 to 2015), the current study estimated Kaplan-Meier curves and Cox proportional hazard regression models to identify predictors of leaving employment, including psychosocial job quality, employment arrangement, and occupational skill level. Effect modification by disability status of the relationship between employment-related factors and exit from the labour market were assessed by including interaction terms and assessing model fit with a likelihood ratio test. Models were adjusted for a range of socio-demographic and health related factors. RESULTS: Compared to those without disability, those with disability had a greater risk of leaving employment (HR 1.26, 95% CI 1.18 to 1.35, p<0.001). Other predictors of exit from work included low-skilled occupation (HR 1.18, 95% CI 1.07 to 1.29, p = 0.001), being in a job with low psychosocial job quality (HR 1.11, 95% CI 1.03 to 1.19, p = 0.007), and casual, labour hire or fixed-term contract employment (HR 1.58, 95% CI 1.48 to 1.69, p<0.001). There was no effect modification by disability status. CONCLUSIONS: More research is needed to understand the experiences of workers with disabilities who stay in and leave employment.

BACKGROUND: Societies face the challenge of keeping people active as they age. Walkable neighborhoods have been associated with physical activity, but more rigorous analytical approaches are needed. OBJECTIVES: We used longitudinal data from adult residents of Brisbane, Australia (40-65 years of age at baseline) to estimate effects of changes in neighborhood characteristics over a 6-y period on the likelihood of walking for transport. METHODS: Analyses included 2,789-9,747 How Areas Influence Health and Activity (HABITAT) cohort participants from 200 neighborhoods at baseline (2007) who completed up to three follow-up questionnaires (through 2013). Principal components analysis was used to derive a proxy measure of walkability preference. Environmental predictors were changes in street connectivity, residential density, and land use mix within a one-kilometer network buffer. Associations with any walking and minutes of walking were estimated using logistic and linear regression, including random effects models adjusted for time-varying confounders and a measure of walkability preference, and fixed effects models of changes in individuals to eliminate confounding by time-invariant characteristics. RESULTS: Any walking for transport (vs. none) was increased in association with an increase in street connectivity (+10 intersections, fixed effects OR=1.19; 95% confidence interval (CI): 1.07, 1.32), residential density (+5 dwellings/hectare, OR=1.10; 95% CI: 1.05, 1.15), and land-use mix (10% increase, OR=1.12; 95% CI: 1.00, 1.26). Associations with minutes of walking were positive based on random effects models, but null for fixed effects models. The association between land-use mix and any walking appeared to be limited to participants in the highest tertile of increased street connectivity (fixed effects OR=1.17; 95% CI: 0.99, 1.35 for a 1-unit increase in land-use mix; interaction p-value=0.05). CONCLUSIONS: Increases in street connectivity, residential density, and l

OBJECTIVE: Among working-age Australian adults with a disability, we assess the association between disability-based discrimination and both overall health and psychological distress. METHODS: Using data from the 2015 Australian Bureau of Statistics Survey of Disability, Ageing and Carers we estimated the proportion of working-age women and men (15-64 years) with disability who report disability-based discrimination by socio-demographic characteristics and assessed the association between disability-based discrimination and self-reported health and psychological distress. RESULTS: Nearly 14% of Australians with disability reported disability-based discrimination in the previous year. Disability-based discrimination was more common among people living in more disadvantaged circumstances (unemployed, low income, lower-status occupations), younger people and people born in English-speaking countries. Disability-based discrimination was associated with higher levels of psychological distress (OR: 2.53, 95%CI: 2.11, 3.02) and poorer self-reported health (OR: 1.63, 95%CI: 1.37, 1.95). CONCLUSION: Disability-based discrimination is a prevalent, important determinant of health for Australians with disability. Implications for public health: Disability-based discrimination is an under-recognised public health problem that is likely to contribute to disability-based health inequities. Public health policy, research and practice needs to concentrate efforts on developing policy and programs that reduce discrimination experienced by Australians with disability.

BACKGROUND: Previous studies suggest that poor psychosocial job quality is a risk factor for mental health problems, but they use conventional regression analytic methods that cannot rule out reverse causation, unmeasured time-invariant confounding and reporting bias. METHODS: This study combines two quasi-experimental approaches to improve causal inference by better accounting for these biases: (i) linear fixed effects regression analysis and (ii) linear instrumental variable analysis. We extract 13 annual waves of national cohort data including 13 260 working-age (18-64 years) employees. The exposure variable is self-reported level of psychosocial job quality. The instruments used are two common workplace entitlements. The outcome variable is the Mental Health Inventory (MHI-5). We adjust for measured time-varying confounders. RESULTS: In the fixed effects regression analysis adjusted for time-varying confounders, a 1-point increase in psychosocial job quality is associated with a 1.28-point improvement in mental health on the MHI-5 scale (95% CI: 1.17, 1.40; P < 0.001). When the fixed effects was combined with the instrumental variable analysis, a 1-point increase psychosocial job quality is related to 1.62-point improvement on the MHI-5 scale (95% CI: -0.24, 3.48; P = 0.088). CONCLUSIONS: Our quasi-experimental results provide evidence to confirm job stressors as risk factors for mental ill health using methods that improve causal inference.

Background: Disability among adolescents is associated with both poorer mental health (MH) and higher levels of bullying-victimization. Bullying, therefore, conceivably mediates the association between disability and MH. Quantifying this pathway is challenging as the exposure (disability), mediator (bullying) and outcome (MH) are subjective, and subject to dependent measurement error if the same respondent reports on two or more variables. Methods: Utilizing the counterfactual and potential outcomes approaches to causal mediation, we decomposed the total effect of disability on MH into natural indirect effects (through bullying) and natural direct effects (not through bullying) using a sample of 3409 adolescents. As the study included data from multiple informants (teacher, parent, adolescent) on the outcome (MH, as measured on the Strengths and Difficulties Questionnaire) and two informants (adolescent, parent) on the mediator (bullying), we assessed the influence of dependent measurement error. Results: For preferred analysis (using parent-reported bullying and adolescent-reported MH), the total effect was a 2.18 [95% confidence interval (CI): 0.66-3.40] lower MH score for adolescents with a disability, compared with those with no disability (strength of association equivalent to 37% of the standard deviation for MH). Bullying explained 46% of the total effect. Use of adolescent-reported bullying with adolescent-reported MH produced similar results (37% mediation, 95% CI: 12-74%). Conclusions: Disability exerts a detrimental effect on adolescent MH, and a large proportion of this appears to operate through bullying. This finding does not appear to be spurious due to dependent measurement error.

Background: Disability among adolescents is associated with both poorer mental health (MH) and higher levels of bullying-victimization. Bullying, therefore, conceivably mediates the association between disability and MH. Quantifying this pathway is challenging as the exposure (disability), mediator (bullying) and outcome (MH) are subjective, and subject to dependent measurement error if the same respondent reports on two or more variables. Methods: Utilizing the counterfactual and potential outcomes approaches to causal mediation, we decomposed the total effect of disability on MH into natural indirect effects (through bullying) and natural direct effects (not through bullying) using a sample of 3409 adolescents. As the study included data from multiple informants (teacher, parent, adolescent) on the outcome (MH, as measured on the Strengths and Difficulties Questionnaire) and two informants (adolescent, parent) on the mediator (bullying), we assessed the influence of dependent measurement error. Results: For preferred analysis (using parent-reported bullying and adolescent-reported MH), the total effect was a 2.18 [95% confidence interval (CI): 0.66-3.40] lower MH score for adolescents with a disability, compared with those with no disability (strength of association equivalent to 37% of the standard deviation for MH). Bullying explained 46% of the total effect. Use of adolescent-reported bullying with adolescent-reported MH produced similar results (37% mediation, 95% CI: 12-74%). Conclusions: Disability exerts a detrimental effect on adolescent MH, and a large proportion of this appears to operate through bullying. This finding does not appear to be spurious due to dependent measurement error.

OBJECTIVES: There is evidence of a causal relationship between disability acquisition and poor mental health, but the substantial heterogeneity in the magnitude of the effect is poorly understood and may be aetiologically informative. This study aimed to identify demographic and socioeconomic factors that modify the effect of disability acquisition on mental health. DESIGN AND SETTING: The Household, Income and Labour Dynamics in Australia Survey is a nationally representative longitudinal survey of Australian households that has been conducted annually since 2001. Four waves of data were included in this analysis, from 2011 to 2014. PARTICIPANTS: Individuals who acquired a disability (n=387) were compared with those who remained disability-free in all four waves (n=7936). PRIMARY OUTCOME MEASURE: Mental health was measured using the mental health subscale of the Short Form 36 (SF-36) general health questionnaire, which measures symptoms of depression, anxiety and psychological well-being. METHODS: Linear regression models were fitted to estimate the effect of disability acquisition on mental health, testing for effect modification by key demographic and socioeconomic characteristics. To maximise causal inference, we used a propensity score approach with inverse probability of treatment weighting to control for confounding and multiple imputation using chained equations to assess the impact of missing data. RESULTS: On average, disability acquisition was associated with a 5-point decline in mental health score (estimated mean difference: -5.1, 95% CI -7.2 to -3.0). There was strong evidence that income and relationship status modified the effect, with more detrimental effects in the lowest (-12.5, 95% CI -18.5 to -6.5) compared with highest income quintile (-1.1, 95% CI -4.9 to 2.7) and for people not in a relationship (-8.8, 95% CI -12.9 to -4.8) compared with those who were (-3.7, 95% CI -6.1 to -1.4). CONCLUSIONS: Our results suggest that the detrimental effect o

PURPOSE: Disability acquisition in adulthood is associated with deterioration in mental health. Social support may act as a "buffer" against poor mental health following disability acquisition. We tested the hypothesis that women and men with low social support experienced larger declines in mental health on acquisition of a disability compared to women and men with high social support. METHODS: We assessed whether social support, measured both prior and subsequent to disability acquisition, modified the association between disability acquisition and mental health using 14 annual waves of data from the Household, Income and Labour Dynamics in Australia Survey. Participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (2200 participants, 15,724 observations). Fixed-effects linear regression models were used to estimate average differences in mental health between waves with and without disability, for women and men separately. We tested for effect measure modification of the association by social support, including a three-way interaction between disability and social support prior and subsequent to disability acquisition. RESULTS: Though the effects of disability acquisition on mental health were much larger for women, for both women and men there was a consistent pattern of association with social support. There was evidence that social support modified the association between disability acquisition and mental health, with the largest effects for those experiencing a change from high to low social support subsequent to disability and for people with consistently low social support. CONCLUSIONS: These findings highlight the importance of developing new policy and practice strategies to improve the mental health of people with disabilities, including interventions to promote social support at the time of disability acquisition.

BACKGROUND: Underemployment (defined as when a person in paid employment works for fewer hours than their desired full working capacity) is increasingly recognised as a component of employment precarity. This paper sought to investigate the effects of underemployment on the mental health of people with disabilities. METHODS: Using 14 waves of the Household, Income and Labour Dynamics in Australia survey, we used fixed-effects models to assess whether the presence of a disability modified the association between underemployment and mental health. Both disability and underemployment were assessed as time-varying factors. Measures of effect measure modification were presented on the additive scale. RESULTS: The experience of underemployment was associated with a significantly greater decline in mental health when a person reported a disability (mean difference -1.38, 95% CI -2.20 to -0.57) compared with when they did not report a disability (mean difference -0.49, 95% CI -0.84 to -0.14). The combined effect of being underemployed and having a disability was nearly one point greater than the summed independent risks of having a disability and being underemployed (-0.89, 95% CI -1.75 to -0.03). CONCLUSION: People with disabilities are more likely to experience underemployment and more likely to have their mental health adversely affected by it. There is a need for more research and policy attention on how to ameliorate the effects of underemployment on the mental health of persons with disabilities.

Acquiring a disability in adulthood is associated with a reduction in mental health and access to secure and affordable housing is associated with better mental health. We hypothesised that the association between acquisition of disability and mental health is modified by housing tenure and affordability. We used twelve annual waves of data (2001-2012) (1913 participants, 13,037 observations) from the Household, Income and Labour Dynamics in Australia survey. Eligible participants reported at least two consecutive waves of disability preceded by two consecutive waves without disability. Effect measure modification, on the additive scale, was tested in three fixed-effects linear regression models (which remove time-invariant confounding) which included a cross-product term between disability and prior housing circumstances: housing tenure by disability; housing affordability by disability and, in a sub-sample (896 participants 5913 observations) with housing costs, tenure/affordability by disability. The outcome was the continuous mental component summary (MCS) of SF-36. Models adjusted for time-varying confounders. There was statistical evidence that prior housing modified the effect of disability acquisition on mental health. Our findings suggested that those in affordable housing had a -1.7 point deterioration in MCS (95% CI -2.1, -1.3) following disability acquisition and those in unaffordable housing had a -4.2 point reduction (95% CI -5.2, -1.4). Among people with housing costs, the largest declines in MCS were for people with unaffordable mortgages (-5.3, 95% CI -8.8, -1.9) and private renters in unaffordable housing (-4.0, 95% CI -6.3, -1.6), compared to a -1.4 reduction (95% CI -2.1, -0.7) for mortgagors in affordable housing. In sum, we used causally-robust fixed-effects regression and showed that deterioration in mental health following disability acquisition is modified by prior housing circumstance with the largest negative associations found for those i

BACKGROUND: It is well established that maternal age at childbirth has implications for women's mental health in the short term, however there has been little research regarding longer term implications and whether this association has changed over time. We investigated longer term mental health consequences for young mothers in Australia and contrasted the effects between three birth cohorts. METHODS: Using thirteen waves of data from 4262 women aged 40 years or above participating in the Household, Income and Labour Dynamics in Australia Survey, we compared the mental health of women who had their first child aged 15-19 years, 20-24 years, and 25 years and older. Mental health was measured using the mental health component summary score of the SF-36. We used random-effects linear regression models to generate estimates of the association between age at first birth and mental health, adjusted for early life socioeconomic characteristics (country of birth, parents' employment status and occupation) and later life socioeconomic characteristics (education, employment, income, housing tenure, relationship status and social support). We examined whether the association changed over time, testing for effect modification across three successive birth cohorts. RESULTS: In models adjusted for early life and later life socioeconomic characteristics, there was strong evidence of an association between teenage births and poor mental health, with mental health scores on average 2.76 to 3.96 points lower for mothers aged younger than 20 years than for mothers aged 25 years and older (Late Baby Boom (born 1936-1945): -3.96, 95% CI -5.38, -2.54; Early Baby Boom (born 1946-1955): -3.01, 95% CI -4.32, -1.69; Lucky Few (born 1956-1965): -2.76, 95% CI -4.34, -1.18), and evidence of an association for mothers aged 20-24 years compared to mothers aged 25 years and older in the most recent birth cohort only (-1.09, 95% CI -2.01, -0.17). There was some indication (though weak) that the as

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

BACKGROUND: People with disabilities are socio-economically disadvantaged and have poorer health than people without disabilities; however, little is known about the way in which disadvantage is patterned by gender and type of impairment. OBJECTIVES: 1. To describe whether socio-economic circumstances vary according to type of impairment (sensory and speech, intellectual, physical, psychological and acquired brain injury). 2. To compare levels of socio-economic disadvantage for women and men with the same impairment type. METHODS: We used a large population-based disability-focused survey of Australians, analyzing data from 33,101 participants aged 25-64. Indicators of socio-economic disadvantage included education, income, employment, housing vulnerability, and multiple disadvantage. Stratified by impairment type, we estimated: the population weighted prevalence of socio-economic disadvantage; the relative odds of disadvantage compared to people without disabilities; and the relative odds of disadvantage between women and men. RESULTS: With few exceptions, people with disabilities fared worse for every indicator compared to people without disability; those with intellectual and psychological impairments and acquired brain injuries were most disadvantaged. While overall women with disabilities were more disadvantaged than men, the magnitude of the relative differences was lower than the same comparisons between women and men without disabilities, and there were few differences between women and men with the same impairment types. CONCLUSIONS: Crude comparisons between people with and without disabilities obscure how disadvantage is patterned according to impairment type and gender. The results emphasize the need to unpack how gender and disability intersect to shape socio-economic disadvantage.