Are housing circumstances associated with faster epigenetic ageing?

BACKGROUND: Numerous aspects of housing are associated with health. However, the pathways between housing and health, particularly the psychosocial elements of housing, are less well understood. Epigenetic information alongside social survey data offers an opportunity to explore biological ageing, measured using DNA methylation, as a potential pathway through which housing affects health. METHODS: We use data on housing and DNA methylation from the UK Household Longitudinal Study, linked with prior survey responses from the British Household Panel Survey, covering adults in Great Britain. We explore the association between epigenetic ageing and housing circumstances, both contemporary and historical, using hierarchical regression. RESULTS: We find that living in a privately rented home is related to faster biological ageing. Importantly, the impact of private renting (coefficient (SE) 0.046 years (0.011) vs owned outright, p<0.001) is greater than the impact of experiencing unemployment (coefficient 0.027 years (0.012) vs employed, p<0.05) or being a former smoker (coefficient 0.021 years (0.005) vs never smoker, p<0.001). When we include historical housing circumstances in the analysis, we find that repeated housing arrears and exposure to pollution/environmental problems are also associated with faster biological ageing. CONCLUSION: Our results suggest that challenging housing circumstances negatively affect health through faster biological ageing. However, biological ageing is reversible, highlighting the significant potential for housing policy changes to improve health.

Estimating the impact of Angelman syndrome on parental productivity in Australia using productivity-adjusted life years.

BACKGROUND: Angelman syndrome (AS) is a rare genetic condition characterized by global developmental delay, including severe intellectual disability. The parents of persons with AS experience increased stress, anxiety, and depression. This impacts parents' career choices and productivity. OBJECTIVE: To estimate, for the first time, the total productivity lost by the parents of persons with AS over a 10-year period in Australia and the corresponding cost to society. METHODS: A cost-of-illness model with simulated follow-up over a 10-year period was developed, with 2019 as the baseline year, facilitated by a Markov chain of life tables. The prevalence of persons with AS and their parents, the productivity-adjusted life years (PALYs) lost by parents, and the cost to society were estimated. Key data were obtained from a prospective cohort of AS families, peer-reviewed literature, and publicly available sources. RESULTS: The base-case productivity burden borne by the estimated 330 living parents of the 428 prevalent persons with AS totaled AUD$45.30 million, corresponding to a loss of 38.42% of PALYs per parent. CONCLUSIONS: Caring for a child with AS has a significant impact on the productivity of affected parents, with a large associated impact on the broader Australian economy.

The Cost of Raising Individuals with Fragile X or Chromosome 15 Imprinting Disorders in Australia.

The study characterised differences in costs associated with raising a child between four rare disorders and examined the associations between these costs with clinical severity. Caregivers of 108 individuals with Prader-Willi, Angelman (AS), Chromosome 15q Duplication and fragile X (FXS) syndromes completed a modified Client Services Receipt Inventory and participants completed intellectual/developmental functioning and autism assessments. AS incurred the highest yearly costs per individual ($AUD96,994), while FXS had the lowest costs ($AUD33,221). Intellectual functioning negatively predicted total costs, after controlling for diagnosis. The effect of intellectual functioning on total costs for those with AS was significantly different to the other syndromes. The study highlights the significant costs associated with these syndromes, particularly AS, linked with severity of intellectual functioning.

Effect of a Biopsychosocial Intervention or Postural Therapy on Disability and Health Care Spending Among Patients With Acute and Subacute Spine Pain: The SPINE CARE Randomized Clinical Trial.

Importance: Low back and neck pain are often self-limited, but health care spending remains high. Objective: To evaluate the effects of 2 interventions that emphasize noninvasive care for spine pain. Design, Setting, and Participants: Pragmatic, cluster, randomized clinical trial conducted at 33 centers in the US that enrolled 2971 participants with neck or back pain of 3 months' duration or less (enrollment, June 2017 to March 2020; final follow-up, March 2021). Interventions: Participants were randomized at the clinic-level to (1) usual care (n = 992); (2) a risk-stratified, multidisciplinary intervention (the identify, coordinate, and enhance [ICE] care model that combines physical therapy, health coach counseling, and consultation from a specialist in pain medicine or rehabilitation) (n = 829); or (3) individualized postural therapy (IPT), a postural therapy approach that combines physical therapy with building self-efficacy and self-management (n = 1150). Main Outcomes and Measures: The primary outcomes were change in Oswestry Disability Index (ODI) score at 3 months (range, 0 [best] to 100 [worst]; minimal clinically important difference, 6) and spine-related health care spending at 1 year. A 2-sided significance threshold of .025 was used to define statistical significance. Results: Among 2971 participants randomized (mean age, 51.7 years; 1792 women [60.3%]), 2733 (92%) finished the trial. Between baseline and 3-month follow-up, mean ODI scores changed from 31.2 to 15.4 for ICE, from 29.3 to 15.4 for IPT, and from 28.9 to 19.5 for usual care. At 3-month follow-up, absolute differences compared with usual care were -5.8 (95% CI, -7.7 to -3.9; P < .001) for ICE and -4.3 (95% CI, -5.9 to -2.6; P < .001) for IPT. Mean 12-month spending was $1448, $2528, and $1587 in the ICE, IPT, and usual care groups, respectively. Differences in spending compared with usual care were -$139 (risk ratio, 0.93 [95% CI, 0.87 to 0.997]; P = .04) for ICE and $941 (risk ratio, 1.40 [95% CI, 1.35 to 1.45]; P < .001) for IPT. Conclusions and Relevance: Among patients with acute or subacute spine pain, a multidisciplinary biopsychosocial intervention or an individualized postural therapy intervention, each compared with usual care, resulted in small but statistically significant reductions in pain-related disability at 3 months. However, compared with usual care, the biopsychosocial intervention resulted in no significant difference in spine-related health care spending and the postural therapy intervention resulted in significantly greater spine-related health care spending at 1 year. Trial Registration: ClinicalTrials.gov Identifier: NCT03083886.

Cold homes and mental health harm: Evidence from the UK Household Longitudinal Study.

Cold homes are associated with a range of serious health conditions as well as excess winter mortality. Despite a comparatively mild climate cold homes are a significant problem in the UK, with a recent estimate finding that over one-quarter of low-income households had been unable to adequately heat their home in winter 2022. The magnitude of cold housing in a country that benefits from a mild climate indicates indifference towards, or acceptance of, a significant minority of people living in inadequate conditions on the part of policy makers. Cold homes are therefore a source of social harm. Recent changes to the household energy price cap, the rising cost of living, the ongoing effects of the benefit cap, and below inflation uprating to social security benefits is likely to greatly exacerbate this issue. In this research we use data from the UK Household Longitudinal Study to explore whether living in a cold home causes mental health harm. We control for mental distress and housing temperature on entry to the survey in order to account for the potentially bi-directional relationship. Multilevel discrete-time event history models show that the transition into living in a home that is not suitably warm is associated with nearly double the odds of experiencing severe mental distress for those who had no mental distress at the beginning of the survey; and over three times the odds of severe mental distress for those previously on the borderline of severe mental distress. These results show the significant costs of failing to ensure that people are able to live in homes in which they are able to live comfortably by even the most basic standards. These costs will be felt not just individually, but also more broadly in terms of increased health spending and reduced working.

Estimated costs of preoperative evaluation of postmenopausal hysterectomy for prolapse at a safety-net hospital: an observational descriptive study.

BACKGROUND: In practice, preoperative evaluation prior to hysterectomy varies. Unnecessary preoperative evaluation may add cost and risk with little benefit to the patient. OBJECTIVE: This study aimed to describe practice patterns and the associated costs related to preoperative evaluations before hysterectomy for prolapse at a safety-net hospital. STUDY DESIGN: This was a retrospective cohort study of postmenopausal women who underwent a hysterectomy for prolapse. Nonfacility-associated cost data were obtained from the Centers for Medicare Services. The biopsy cost was estimated to be $172.55 and $125.23 for ultrasounds. RESULTS: A total of 505 postmenopausal cases were identified. Of those, 155 (31%) underwent a preoperative biopsy, 305 (60%) had an ultrasound, and 124 (25%) had both. Of those, 72.9% had an indication for a biopsy. A total of 64 biopsies and 216 ultrasounds lacked clear indication. Of those, 56 biopsies were performed for bleeding in cases with an endometrial thickness of <4 mm. The total cost of nonvalue-added testing was $42,576. CONCLUSION: Adherence to a strict preoperative algorithm would have saved $38,092 over the study period, although 0.50% of these biopsies would potentially have detected endometrial cancer preoperatively. These results underscore the value of clinical algorithms at teaching institutions.

Housing and health: an updated glossary.

Recent crises have underscored the importance that housing has in sustaining good health and, equally, its potential to harm health. Considering this and building on Howden-Chapman's early glossary of housing and health and the WHO Housing and Health Guidelines, this paper introduces a range of housing and health-related terms, reflecting almost 20 years of development in the field. It defines key concepts currently used in research, policy and practice to describe housing in relation to health and health inequalities. Definitions are organised by three overarching aspects of housing: affordability (including housing affordability stress (HAS) and fuel poverty), suitability (including condition, accessibility and sustainable housing) and security (including precarious housing and homelessness). Each of these inter-related aspects of housing can be either protective of, or detrimental to, health. This glossary broadens our understanding of the relationship between housing and health to further promote interdisciplinarity and strengthen the nexus between these fields.

Alcohol and tobacco consumption: What is the role of economic security?

AIMS: To better understand the longstanding inequalities concerning alcohol and tobacco use, we aimed to quantify the effect of household economic security on alcohol and tobacco consumption and expenditure. DESIGN: Longitudinal analysis using data from the Household, Income and Labour Dynamics in Australia survey (2001-2018). SETTING: Australia PARTICIPANTS: A nationally representative cohort of 24 134 adults aged 25-64 years (187 378 observations). MEASUREMENTS: Tobacco and alcohol use (Yes/No), frequency of use of each per week, household expenditure on each per week, household weekly income (Consumer Price Index [CPI]-adjusted), employment security (based on conditions of employment) and housing affordability (housing costs relative to household income). FINDINGS: At baseline, one-quarter of the sample used tobacco and 87% used alcohol. Annual increases in household income were associated with the increased use of both tobacco and alcohol for people in households in the lowest 40% of the national income distribution (OR = 1.13, 95% CI = 1.03-1.23 and OR = 1.12, 95% CI = 1.04-1.20, respectively) with no similar income effect observed for higher-income households. In relation to smoking, the odds of a resident's tobacco use increased when their household was unemployed (OR = 1.32, 95% CI = 1.07-1.62). In relation to alcohol, the odds of use decreased when households were insecurely employed or unemployed, or housing costs were unaffordable (OR = 0.87, 95% CI = 0.77-0.98, OR = 0.66, 95% CI = 0.55-0.80 and OR = 0.84, 95% CI = 0.75-0.93, respectively). This was also reflected in the reduced odds of risky drinking (defined in accordance with Australian guidelines) when housing became unaffordable or households became unemployed (OR = 0.90, 95% CI = 0.81-0.99; OR = 0.82, 95% CI = 0.69-0.98, respectively). CONCLUSIONS: In Australia, smoking and drinking appear to exhibit different socio-behavioural characteristics and household unemployment appears to be a strong determinant of smoking.

The Shifting Risk of Homelessness among Persons with a Disability: Insights from a National Policy Intervention.

Persons with a disability are at a far higher risk of homelessness than those without. The economic, social and health challenges faced by disabled people are addressed, in Australia, by the recently implemented National Disability Insurance Scheme (NDIS). Using nationally representative, longitudinal household panel data, we construct the Index of Relative Homelessness Risk (IRHR) to track how the risk of homelessness for disabled persons has changed since the introduction of the NDIS. We find that, overall, fewer persons with a disability face moderate risk of homelessness but that many more face high risk. We conclude that the NDIS has not effectively protected disabled people from the risk of homelessness. We reflect on the implications of these findings for policy interventions.

Mental health and prolonged exposure to unaffordable housing: a longitudinal analysis.

PURPOSE: When housing is insufficient, or poor quality, or unaffordable there are well established health effects. Despite the pervasiveness of housing affordability problems (widely referred to as Housing Affordability Stress-HAS), little quantitative work has analysed long-term mental health effects. We examine the mental health effects of (prolonged and intermittent) patterns of exposure to housing affordability problems. METHODS: We analysed a large, nationally representative longitudinal population sample of individuals, following them over five-year periods to assess the relative mental health effects of different patterns of exposure to housing affordability problems. To maximise the number of observations and the robustness of findings, we used 15 years (2002-2016) of data, across three pooled exposure windows. Longitudinal regression analysis with Mundlak adjustment was used to estimate the association between prolonged (constant over a 5-year period) and intermittent exposure to HAS, and mental health (as measured using the SF-36 MCS). RESULTS: We found that, on average, both prolonged and intermittent exposure were associated with lower mental health (Beta = - 1.338 (95% CI - 2.178-0.488) and Beta = - 0.516 (95% CI - 0.868-0.164), respectively). When we additionally adjusted for baseline mental health, thereby accounting for initial mental health status, coefficients were attenuated but remained significant. CONCLUSIONS: Both prolonged and intermittent exposure to HAS negatively impact mental health, irrespective of baseline mental health. Interventions that target affordable housing would benefit population mental health. Mental health interventions should be designed with people's housing context in mind.

Do financial hardship and social support mediate the effect of unaffordable housing on mental health?

PURPOSE: Unaffordable housing has a negative impact on mental health; however, little is known about the causal pathways through which it transmits this effect. We examine the role of financial hardship and social support as mediators of this relationship. METHODS: We identified households where housing costs changed from affordable to unaffordable across two waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey (2014-2015). The sequential causal mediation analysis was used to decompose the total effect of unaffordable housing on mental health into the portion attributable to financial hardship and social support [natural indirect effect (NIE)] and the portion not occurring through measured pathways [natural direct effect (NDE)]. Mental health was measured using the Mental Health Inventory (MHI) and Kessler psychological distress (KPD) scale. Baseline covariates included age, sex, household income, financial hardship, social support, marital status and employment status. Bootstrapping with 1000 replications was used to calculate 95% confidence intervals (CIs). Multiple imputations using chained equations were applied to account for missing data. RESULTS: Unaffordable housing led to a change in mean mental health score on the MHI scale (- 1.3, 95% CI: - 2.1, - 0.6) and KPDS scale (0.9, 95% CI: 0.4, 1.4). Financial hardship accounted for 54% of the total effect on MHI scale and 53% on KPD scale. Collectively, financial hardship and social support explained 68% of the total effect on MHI scale and 67% on KPD scale, respectively. CONCLUSIONS: In conclusion, the negative mental health effect of unaffordable housing is largely mediated through increased financial hardship.

How Does Household Residential Instability Influence Child Health Outcomes? A Quantile Analysis.

At the core of housing and welfare research is a premise that stable residential environments are important to children's health and development. The relationship between housing stability and health outcomes for children is, however, complex; stable housing situations are sometimes associated with poorer health outcomes, and some children may be more or less resilient to residential instability. The Longitudinal Study of Australian Children (LSAC) dataset enables us to longitudinally follow the housing and health of more than 10,000 children and their families. We employ a quantile analysis technique, a currently underutilized tool for testing associations across the distribution of an outcome, to test whether exposure to housing instability has a differential impact on children's health dependent on their initial health status. Our findings suggest that the health outcomes of residential instability are highly dependent on children's initial health status.

The 'double precarity' of employment insecurity and unaffordable housing and its impact on mental health.

This paper describes who is most likely to experience household employment insecurity and housing affordability stress - double precarity - and estimates the degree to which housing affordability mediates the effect of employment insecurity on mental health. We use a cohort of 24,201 participants in 2016 Household, Income and Labour Dynamics in Australia survey (6.2 repeated measures on average). We estimate the likelihood of onset of household employment insecurity, housing affordability stress and change in housing costs using longitudinal regression analyses for socio-demographic groups. We assess mediation by estimating how much exposure variable coefficients attenuate with inclusion of a mediator in fixed effects regression models. We also apply causal mediation methods to fixed-effects regression models to better account for exposure-mediator interaction and meet strict model assumptions. If people's households become insecurely employed, there are five times greater odds of them also experiencing housing affordability stress (OR 4.99 95%CI 4.21-5.90). Key cohorts within the population are shown to be especially vulnerable to double precarity - notably single parents (OR 2.91, 95%CI 1.94-4.35) and people who live alone (OR 4.42, 95% CI 3.03-6.45) (compared to couples), and people who are recently separated or divorced (OR 2.59, 95%CI 1.81-3.70). Mediation analysis confirms that household employment insecurity has a small, negative effect on mental health (Beta -0.24, 95%CI -0.38-0.11 on a 1 to 100-point scale with 10-point standard deviation). Estimates from casual mediation analyses suggest housing affordability accounts for 20% of the total effect; likely concentrated in the lowest and highest strata of income. Employment and housing insecurity represent a form of double precarity for people in households with a single income. When we consider the impact on mental health, we find evidence of a causal relationship between insecure employment onset and mental health, around one fifth of which is mediated by changing housing cost and onset of affordability stress.

The impact of persistent poor housing conditions on mental health: A longitudinal population-based study.

Living with housing problems increases the risk of mental ill health. Housing problems tend to persist over time but little is known about the mental health consequences of living with persistent housing problems. We investigated if persistence of poor housing affects mental health over and above the effect of current housing conditions. We used data from 13 annual waves of the British Household Panel Survey (1996 to 2008) (81,745 person/year observations from 16,234 individuals) and measured the persistence of housing problems by the number of years in the previous four that a household experienced housing problems. OLS regression models and lagged-change regression models were used to estimate the effects of past and current housing conditions on mental health, as measured by the General Health Questionnaire. Interaction terms tested if tenure type modified the impact of persistent poor housing on mental health. In fully adjusted models, mental health worsened as the persistence of housing problems increased. Adjustment for current housing conditions attenuated, but did not explain, the findings. Tenure type moderated the effects of persistent poor housing on mental health, suggesting that those who own their homes outright and those who live in social housing are most negatively affected. Persistence of poor housing was predictive of worse mental health, irrespective of current housing conditions, which added to the weight of evidence that demonstrates that living in poor quality housing for extended periods of time has negative consequences for mental health.

Poor housing quality: Prevalence and health effects.

Housing is a central component of productive, healthy, and meaningful lives, and a principle social determinant of health and well-being. Surprisingly, though, evidence on the ways that housing influences health in Australia is poorly developed. This stems largely from the fact that the majority of the population are accommodated in good quality housing. The dominance of a "good housing paradigm" means that households living in poor quality and unhealthy housing are doubly disadvantaged-by the quality of their housing and because policy makers in Australia do not acknowledge the health effects of housing. In this article, we examine the relationship between health outcomes and quality of housing. We base our analysis on data from the Household Income and Labour Dynamics in Australia (HILDA) survey, a panel dataset that is representative across Australia. We find a sizeable, policy-important, and to date under-acknowledged cohort of Australians whose health is influenced by poor-condition dwellings.

Housing tenure and affordability and mental health following disability acquisition in adulthood.

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 in unaffordable housing. Future research should test whether providing secure, affordable housing when people acquire a disability prevents deterioration in mental health.

Does employment security modify the effect of housing affordability on mental health?

This paper uses longitudinal data to examine the interrelationship between two central social determinants of mental health - employment security and housing affordability. Data from ten annual waves of the longitudinal Household, Income and Labour Dynamics in Australia (HILDA) survey (which commenced in 2000/1 and is ongoing) were analysed using fixed-effects longitudinal linear regression. Change in the SF-36 Mental Component Summary (MCS) score of working age individuals (25-64 years) (51,885 observations of 10,776 people), associated with changes in housing affordability was examined. Models were adjusted for income, age, survey year, experience of serious injury/illness and separation/divorce. We tested for an additive interaction between the security of a household's employment arrangements and housing affordability. People in insecurely employed households appear more vulnerable than people in securely employed households to negative mental health effects of housing becoming unaffordable. In adjusted models, people in insecurely employed households whose housing became unaffordable experienced a decline in mental health (B=-1.06, 95% CI -1.75 to -0.38) while people in securely employed households experienced no difference on average. To progress our understanding of the Social Determinants of Health this analysis provides evidence of the need to bridge the (largely artificial) separation of social determinants, and understand how they are related.

Intersections between disability, type of impairment, gender and socio-economic disadvantage in a nationally representative sample of 33,101 working-aged Australians.

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.