Exploring the impact of housing insecurity on the health and wellbeing of children and young people in the United Kingdom: a qualitative systematic review.

BACKGROUND: Housing insecurity can be understood as experiencing or being at risk of multiple house moves that are not through choice and related to poverty. Many aspects of housing have all been shown to impact children/young people's health and wellbeing. However, the pathways linking housing and childhood health and wellbeing are complex and poorly understood. METHODS: We undertook a systematic review synthesising qualitative data on the perspectives of children/young people and those close to them, from the United Kingdom (UK). We searched databases, reference lists, and UK grey literature. We extracted and tabulated key data from the included papers, and appraised study quality. We used best fit framework synthesis combined with thematic synthesis, and generated diagrams to illustrate hypothesised causal pathways. RESULTS: We included 59 studies and identified four populations: those experiencing housing insecurity in general (40 papers); associated with domestic violence (nine papers); associated with migration status (13 papers); and due to demolition-related forced relocation (two papers). Housing insecurity took many forms and resulted from several interrelated situations, including eviction or a forced move, temporary accommodation, exposure to problematic behaviour, overcrowded/poor-condition/unsuitable property, and making multiple moves. Impacts included school-related, psychological, financial and family wellbeing impacts, daily long-distance travel, and poor living conditions, all of which could further exacerbate housing insecurity. People perceived that these experiences led to mental and physical health problems, tiredness and delayed development. The impact of housing insecurity was lessened by friendship and support, staying at the same school, having hope for the future, and parenting practices. The negative impacts of housing insecurity on child/adolescent health and wellbeing may be compounded by specific life circumstances, such as escaping domestic violence, migration status, or demolition-related relocation. CONCLUSION: Housing insecurity has a profound impact on children and young people. Policies should focus on reducing housing insecurity among families, particularly in relation to reducing eviction; improving, and reducing the need for, temporary accommodation; minimum requirements for property condition; and support to reduce multiple and long-distance moves. Those working with children/young people and families experiencing housing insecurity should prioritise giving them optimal choice and control over situations that affect them.

Reductions in the United Kingdom's Government Housing Benefit and Symptoms of Depression in Low-Income Households.

Housing security is an important determinant of mental ill health. We used a quasinatural experiment to evaluate this association, comparing the prevalence of mental ill health in the United Kingdom before and after the government's April 2011 reduction in financial support for low-income persons who rent private-sector housing (mean reduction of approximately £1,220 ($2,315) per year). Data came from the United Kingdom's Annual Population Survey, a repeated quarterly cross-sectional survey. We focused our analysis on renters in the private sector, disaggregating data between an intervention group receiving the government's Housing Benefit (n = 36,859) and a control group not receiving the Housing Benefit (n = 142,205). The main outcome was a binary measure of self-reported mental health problems. After controlling for preexisting time trends, we observed that between April 2011 and March 2013, the prevalence of depressive symptoms among private renters receiving the Housing Benefit increased by 1.8 percentage points (95% confidence interval: 1.0, 2.7) compared with those not receiving the Housing Benefit. Our models estimated that approximately 26,000 (95% confidence interval: 14,000, 38,000) people newly experienced depressive symptoms in association with the cuts to the Housing Benefit. We conclude that reducing housing support to low-income persons in the private rental sector increased the prevalence of depressive symptoms in the United Kingdom.

The impact of the housing crisis on self-reported health in Europe: multilevel longitudinal modelling of 27 EU countries.

BACKGROUND: Many EU nations experienced a significant housing crisis during the Great Recession of 2008-10. We evaluated the consequences of housing payment problems for people's self-reported overall health. METHODS: We used longitudinal data from the EU Statistics on Income and Living Conditions survey covering 27 countries from 2008 to 2010 to follow a baseline sample of persons who did not have housing debt and who were employed (45 457 persons, 136 371 person-years). Multivariate linear regression and multilevel models were used to evaluate the impact of transitions into housing arrears on self-reported health, correcting for the presence of chronic illness, health limitations, and other potential socio-demographic confounders. RESULTS: Persons who transitioned into housing arrears experienced a significant deterioration in self-reported overall health by - 0.03 U (95% CI - 0.01 to - 0.04), even after correcting for chronic illness, disposable income and employment status, and individual fixed effects. This association was independent and similar in magnitude to that for job loss (-0.02, 95% CI: -0.01 to - 0.04). We also found that the impact of housing arrears was significantly worse among renters, corresponding to a mean 0.11 unit additional drop in health as compared with owner-occupiers. These adverse associations were only evident in persons below the 75th percentile of disposable income. DISCUSSION: Our analysis demonstrates that persons who suffer housing arrears experience increased risk of worsening self-reported health, especially among those who rent. Future research is needed to understand the role of alternative housing support systems and available strategies for preventing the health consequences of housing insecurity.

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.

Preventing lost-to-follow up diagnostic imaging in ambulatory care: evaluation of an electronic notification tool.

OBJECTIVE: Missed or cancelled imaging tests may be invisible to the ordering clinician and result in diagnostic delay. We developed an outpatient results notification tool (ORNT) to alert physicians of patients' missed radiology studies. DESIGN: Randomised controlled evaluation of a quality improvement intervention. SETTING: 23 primary care and subspecialty ambulatory clinics at an urban academic medical centre. PARTICIPANTS: 276 physicians randomised to intervention or usual care. MAIN OUTCOME MEASURE: 90-day test completion of missed imaging tests. RESULTS: We included 3675 radiology tests in our analysis: 1769 ordered in the intervention group and 1906 in the usual care group. A higher per cent of studies were completed for intervention compared with usual care groups in CT (20.7% vs 15.3%, p=0.06), general radiology (19.6% vs 12.0%, p=0.02) and, in aggregate, across all modalities (18.1% vs 16.1%, p=0.03). In the multivariable regression model adjusting for sex, age and insurance type and accounting for clustering with random effects at the level of the physician, the intervention group had a 36% greater odds of test completion than the usual care group (OR: 1.36 (1.097-1.682), p=0.005). In the Cox regression model, patients in the intervention group were 1.32 times more likely to complete their test in a timely fashion (HR: 1.32 (1.10-1.58), p=0.003). CONCLUSIONS: An electronic alert that notified the responsible clinician of a missed imaging test ordered in an ambulatory clinic reduced the number of incomplete tests at 90 days. Further study of the obstacles to completing recommended diagnostic testing may allow for the development of better tools to support busy clinicians and their patients and reduce the risk of diagnostic delays.

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.

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.

Housing and health: new evidence using biomarker data.

BACKGROUND: The link between housing and health is well established and long-standing, however much of the evidence relies on self-reported health measures. While these are useful, the availability of biomarker data allows us to add to this evidence using objective indicators of health. METHODS: In this paper, we use C-reactive protein (CRP), a biomarker associated with infection and stress, alongside information relating to housing details, demographic characteristics and health behaviours taken from the UK Household Longitudinal Study. Hierarchical linear regression models estimate CRP for individual housing characteristics, and all available housing characteristics, controlling for confounders. RESULTS: Results indicate that housing tenure, type, cost burden and desire to stay in current home are associated with CRP. Private renters have significantly higher (worse) CRP than owners with a mortgage. In terms of housing type, respondents living in detached homes had lower CRP than those in semidetached or terraced houses, or those living in flats. Housing cost burden is associated with lower CRP, although further analysis indicates that this is the case only for low-income renters. Desire to stay in current home is significantly associated with higher CRP. CONCLUSIONS: A number of housing characteristics were associated with CRP. These results further support an important role for housing in health.

The Great Recession and inequalities in access to health care: a study of unemployment and unmet medical need in Europe in the economic crisis.

Background: Unmet medical need (UMN) had been declining steadily across Europe until the 2008 Recession, a period characterized by rising unemployment. We examined whether becoming unemployed increased the risk of UMN during the Great Recession and whether the extent of out-of-pocket payments (OOP) for health care and income replacement for the unemployed (IRU) moderated this relationship. Methods: We used the European Survey on Income and Living Conditions (EU-SILC) to construct a pseudo-panel (n = 135 529) across 25 countries to estimate the relationship between unemployment and UMN. We estimated linear probability models, using a baseline of employed people with no UMN, to test whether this relationship is mediated by financial hardship and moderated by levels of OOP and IRU. Results: Job loss increased the risk of UMN [ß = 0.027, 95% confidence interval (CI) 0.022-0.033] and financial hardship exacerbated this effect. Fewer people experiencing job loss lost access to health care in countries where OOPs were low or in countries where IRU is high. The results are robust to different model specifications. Conclusions: Unemployment does not necessarily compromise access to health care. Rather, access is jeopardized by diminishing financial resources that accompany job loss. Lower OOPs or higher IRU protect against loss of access, but they cannot guarantee it. Policy solutions should secure financial protection for the unemployed so that resources do not have to be diverted from health.

Living on the edge: precariousness and why it matters for health.

The post-war period in Europe, between the late 1940s and the 1970s, was characterised by an expansion of the role of by the state, protecting its citizens from risks of unemployment, poverty, homelessness, and food insecurity. This security began to erode in the 1980s as a result of privatisation and deregulation. The withdrawal of the state further accelerated after the 2008 financial crisis, as countries began pursuing deep austerity. The result has been a rise in what has been termed 'precariousness'. Here we review the development of the concept of precariousness and related phenomena of vulnerability and resilience, before reviewing evidence of growing precariousness in European countries. It describes a series of studies of the impact on precariousness on health in domains of employment, housing, and food, as well as natural experiments of policies that either alleviate or worsen these impacts. It concludes with a warning, drawn from the history of the 1930s, of the political consequences of increasing precariousness in Europe and North America.

The impact of housing payment problems on health status during economic recession: A comparative analysis of longitudinal EU SILC data of 27 European states, 2008-2010.

Although the recent Great Recession had its origins in the housing sector, the short-term health impact of the housing crisis is not well understood. We used longitudinal data to evaluate the impact of housing payment problems on health status among home-owners and renters in 27 European states. Multi-level and fixed-effects models were applied to a retrospective cohort drawn from the EU Statistics on Income and Living Conditions survey of employed persons, comprising those without housing arrears in the base year 2008 and followed through to 2010 (n=45,457 persons, 136,371 person-years). Multi-variate models tested the impact of transitioning into housing payment arrears on self-reported health (0-worst to 4-best), adjusting for confounders including age, sex, baseline health, and individual fixed effects. Transitioning into housing arrears was associated with a significant deterioration in the health of renters (-0.09 units, 95% CI -0.05 to -0.13), but not owners (0.00, 95% CI -0.05 to 0.06), after adjusting for individual fixed effects. This effect was independent of and greater than the impact of job loss for the full sample (-0.05, 95% CI -0.002 to -0.09). The magnitude of this association varied across countries; the largest adverse associations were observed for renters in Belgium, Austria, and Italy. There was no observed protective association of differing categories of social protection or of the housing regulatory structure for renters. Women aged 30 and over who rented appeared to have worse self-reported health when transitioning into arrears than other groups. Renters also fared worse in those countries where house prices were escalating. We therefore find that housing payment problems are a significant risk factor for worse-self reported health in persons who are renting their homes. Future research is needed to understand potential sources of health resilience among renters, especially at a time when housing prices are rising in many European states.

Data Resource Profile: The European Union Statistics on Income and Living Conditions (EU-SILC).

Social and economic policies are inextricably linked with population health outcomes in Europe, yet few datasets are able to fully explore and compare this relationship across European countries. The European Union Statistics on Income and Living Conditions (EU-SILC) survey aims to address this gap using microdata on income, living conditions and health. EU-SILC contains both cross-sectional and longitudinal elements, with nationally representative samples of individuals 16 years and older in 28 European Union member states as well as Iceland, Norway and Switzerland. Data collection began in 2003 in Belgium, Denmark, Ireland, Greece, Luxembourg and Austria, with subsequent expansion across Europe. By 2011, all 28 EU member states, plus three others, were included in the dataset. Although EU-SILC is administered by Eurostat, the data are output-harmonized so that countries are required to collect specified data items but are free to determine sampling strategies for data collection purposes. EU-SILC covers approximately 500,000 European residents for its cross-sectional survey annually. Whereas aggregated data from EU-SILC are publicly available [http://ec.europa.eu/eurostat/web/income-and-living-conditions/data/main-tables], microdata are only available to research organizations subject to approval by Eurostat. Please refer to [http://epp.eurostat.ec.europa.eu/portal/page/portal/microdata/eu_silc] for further information regarding microdata access.