The impact of housing insecurity on mental health, sleep and hypertension: Analysis of the UK Household Longitudinal Study and linked data, 2009-2019.

BACKGROUND: Housing insecurity is an escalating problem in the UK but there is limited evidence about its health impacts. Using nationally representative panel data and causally focussed methods, we examined the effect of insecure housing on mental health, sleep and blood pressure, during a period of government austerity. METHODS: We used longitudinal survey data (2009-2019, n = 11,164 individuals with annual data) from the UK Household Longitudinal Study. Outcomes were probable common mental disorder (GHQ-12), sleep disturbance due to worry, and new diagnoses of hypertension. The primary exposure was housing payment problems in the past year. Using doubly robust marginal structural models with inverse probability of treatment weights, we estimated absolute and relative health effects of housing payment problems, and population attributable fractions. In stratified analyses we assessed potentially heterogeneous impacts across the population, and potential modifying effects of government austerity measures. A negative control analysis was conducted to detect bias due to unmeasured confounding. RESULTS: Housing payment problems were associated with a 2.5 percentage point increased risk of experiencing a common mental disorder (95% CI 1.1%, 3.8%) and 2.0% increased risk of sleep disturbance (95% CI 0.7%, 3.3%). Estimates were larger for renters, younger people, less educated, households with children, and people living in areas most affected by austerity-related cuts to housing support services. We did not find consistent evidence for an association with hypertension (risk difference = 0.4%; 95% CI -0.1%, 0.9%). The negative control analysis was not indicative of unmeasured confounding. CONCLUSIONS: Housing payment problems were associated with worse mental health and sleep disturbance in a large UK sample. Households at risk of falling into rent or mortgage arrears need more support, especially in areas where housing support services have been diminished. Substantial investment is urgently needed to improve supply of social and affordable housing.

Mental health impact of cuts to local government spending on cultural, environmental and planning services in England: a longitudinal ecological study.

BACKGROUND: Over the past decade, there have been significant and unequal cuts to local authority (LA) budgets, across England. Cultural, environmental and planning (CEP) budgets have been cut by 17% between 2011 and 2019. This funding supports services such as parks, leisure centres, community development and libraries, all of which have potential to influence population mental health. We therefore investigated whether cuts to CEP services have affected mental health outcomes and the extent to which they have contributed to mental health inequalities between areas. METHODS: Using fixed effects regression applied to longitudinal LA-level panel data in England, we assessed whether trends in CEP spend were associated with trends in mental health outcomes, between 2011 and 2019. The exposure was CEP spend and the primary outcome was the LA-average Small Area Mental Health Index (SAMHI). Additionally, we considered subcategories of CEP spend as secondary exposures, and antidepressant prescription rate and self-reported anxiety levels as secondary outcomes, both aggregated to LA-level. We adjusted all models for confounders and conducted subgroup analysis to examine differential mental health effects of spending cuts based on the level of area deprivation. RESULTS: The average decrease in CEP spend of 15% over the period was associated with a 0.036 (95% CI: 0.005, 0.067) increase in SAMHI score, indicating worsening mental health. Amongst subcategories of CEP spending, cuts to planning and development services impacted mental health trends the most, with a 15% reduction in spend associated with a 0.018 (95% CI: 0.005, 0.031) increase in the SAMHI score. The association between cuts in CEP and deteriorating mental health was greater in more affluent areas. CONCLUSION: Cuts to spending on cultural, environmental, planning and development services were associated with worsening population mental health in England. Impacts were driven by cuts to planning and development services in particular. Reinvesting in these services may contribute to improved public mental health.

Inequalities in local government spending on cultural, environmental and planning services: a time-trend analysis in England, Scotland, and Wales.

BACKGROUND: Local government provides Cultural, Environmental, and Planning (CEP) services, such as parks, libraries, and waste collection, that are vital for promoting health and wellbeing. There have been significant changes to the funding of these services over the past decade, most notably due to the UK government's austerity programme. These changes have not affected all places equally. To understand potential impacts on health inequalities, we investigated geographical patterning of recent CEP spending trends. METHODS: We conducted a time trend analysis using routinely available data on local government expenditure. We used generalised estimating equations to determine how expenditure trends varied across 378 local authorities (LAs) in Great Britain between 2009/10 and 2018/19 on the basis of country, deprivation, rurality, and local government structure. We investigated the gross expenditure per capita on CEP services, and the CEP expenditure as a proportion of total local authority budgets. We present the estimated annual percentage change in these spend measures. RESULTS: Expenditure per capita for CEP services reduced by 36% between 2009/10 and 2018/19. In England, the reduction in per capita spending was steepest in the most deprived quintile of areas, falling by 7.5% [95% CI: 6.0, 8.9] per year, compared to 4.5% [95% CI: 3.3, 5.6] per year in the least deprived quintile. Budget cuts in Scotland and Wales have been more equitable, with similar trends in the most and least deprived areas. Welsh LAs have reduced the proportion of total LA budget spent on CEP services the most (-4.0% per year, 95% CI: -5.0 to -2.9), followed by Scotland (-3.0% per year, 95% CI: -4.2 to -1.7) then England (-1.4% per year, 95% CI: -2.2 to -0.6). In England, rural and unitary LAs reduced their share of spending allocated to CEP more than urban and two-tier structured LAs, respectively. CONCLUSION: Funding for cultural, environmental and planning services provided by local government in the UK has been cut dramatically over the last decade, with clear geographical inequalities. Local areas worst affected have been those with a higher baseline level of deprivation, those with a single-tier local government structure, and English rural local authorities. The inequalities in cuts to these services risk widening geographical inequalities in health and wellbeing.

Impact of cuts to local authority spending on cultural, environmental and planning services on inequalities in childhood obesity in England: A longitudinal ecological study.

BACKGROUND: Almost 20% of children in England are living with obesity by the end of primary school, with marked and growing inequalities driven by increasing prevalence in more deprived areas. Neighbourhood environments are upstream determinants of childhood weight status. Cultural, Environmental and Planning (CEP) services delivered by local authorities (LAs) in England include various services that contribute to these local environments, e.g. leisure centres, parks, playgrounds, libraries, community safety and environmental protection. Children in deprived areas potentially benefit most from the provision of these universal services. Spending on CEP services has been cut dramatically over the past decade, especially in more deprived areas. Given the potential link between these services and childhood obesity, we examined whether recent cuts in LA spending on CEP services are associated with trends and inequalities in obesity. METHODS: We compiled annual data (2009-2017) on CEP spending in 324 LAs in England, from Ministry of Housing, Communities and Local Government reports. Obesity prevalence data for Year 6 children were obtained from the National Child Measurement Programme, for LAs and Middle-layer Super Output Areas (MSOAs). Following descriptive and pooled OLS analyses, we used fixed effects panel regression to estimate associations between CEP spending and obesity prevalence, within LAs over time, adjusting for potential confounding by local economic conditions and spending on other public services. Final models included an interaction term between area deprivation (2015 IMD) and year to account for differential background trends in obesity across deprivation levels. We tested for effect modification by deprivation and, using MSOA-level obesity data, explored associations between spending and within-LA obesity inequalities. RESULTS: In unadjusted pooled OLS analyses, areas with higher CEP spending had higher prevalence of obesity, reflecting the strong social gradient in childhood obesity and the higher levels of central government funding allocated to more deprived areas. Deprivation, other spend, and local economic conditions explained this relationship. In the fixed effects analysis, designed to isolate average within-area change in obesity associated with changing spend, we observed a 0.10 percentage point increase in obesity prevalence for each 10% reduction in spend (95%CI: 0.04,0.15; p < 0.001), but this disappeared after accounting for differential background trends in obesity across deprivation levels (-0.02; 95%CI: 0.07,0.03; p = 0.39). Similar results were observed for obesity inequalities, although sensitivity analyses suggest spending on Environmental Services in particular may affect inequalities in urban local authorities. CONCLUSIONS: CEP spending levels may influence local childhood obesity risk, but the increasing prevalence and widening inequalities in obesity of the past decade seem to have been driven mainly by factors other than CEP spending cuts, that are also unevenly distributed across deprivation levels. The influence of specific services might be obscured by grouping CEP services for analysis.

Impact of selective licensing schemes for private rental housing on mental health and social outcomes in Greater London, England: a natural experiment study.

OBJECTIVES: To assess primary impact of selective Licensing (SL), an area-based intervention in the private rented housing market, on individual self-reported anxiety and neighbourhood mental health (MHI-Mental Healthcare Index) and secondary impacts on antisocial behaviour (ASB), population turnover and self-reported well-being. DESIGN: Difference-in-difference (DiD) was used to evaluate effects of SL schemes initiated 2012-2018. 921 intervention areas (lower super output areas) were matched 3:1 using propensity scores derived from sociodemographic and housing variables (N=3.684 including controls). Average treatment effect on treated (ATT) was calculated for multiple time period DiD in area-level analyses. Canonical DiD was used for individual-level analysis by year of treatment initiation while adjusting for age, sex, native birth and occupational class. SETTING: Intervention neighbourhoods and control areas in Greater London, UK, 2011-2019. PARTICIPANTS: We sampled 4474 respondents renting privately in intervention areas (N=17 347 including controls) in Annual Population Survey and obtained area-level MHI population data. INTERVENTIONS: Private landlords in SL areas must obtain a licence from the local authority, allow inspection and maintain minimum housing standards. RESULTS: ATT after 5 years was significantly lower for MHI (-7.5%, 95% CI -5.6% to -8.8%) than controls. Antidepressant treatment days per population reduced by -5.4% (95% CI -3.7% to -7.3), mental health benefit receipt by -9.6% (95% CI -14% to -5.5%) and proportion with depression by -12% (95% CI -7.7% to -16.3%). ASB reduced by -15% (95% CI -21% to -8.2%). Population turnover increased by 26.5% (95% CI 22.1% to 30.8%). Sensitivity analysis suggests overlap with effects of London 2012 Olympic regeneration. No clear patterns were observed for self-reported anxiety. CONCLUSIONS: We found associations between SL and reductions in area-based mental healthcare outcomes and ASB, while population turnover increased. A national evaluation of SL is feasible and necessary.

Assessing the impact of selective licencing schemes for private rental housing on mental health and well-being: protocol for a mixed-method natural experiment study in Greater London, UK.

INTRODUCTION: The UK private rental housing market has poorer quality housing compared with other sectors and is subjected to calls for better regulation. Poor quality housing poses risks to mental and physical health, and housing improvement can potentially benefit health and well-being. Local authorities have powers to implement selective licencing (SL) schemes in specific localities. Such schemes involve landlord registration, payment of licence fees, local authority inspection and requirements that landlords conduct any necessary renovation works to ensure housing standards are met. We aim to evaluate SL in Greater London and to test the feasibility of a national evaluation. METHODS AND ANALYSIS: We will measure individual-level and area-level impacts of SL in Greater London between 2011 and 2019. A difference-in-differences approach with propensity score-matched controls will be used. We propose to exploit data from the Annual Population Survey (APS) and health and social benefit registers to measure mental health and well-being at individual (self-reported anxiety) and area (Small Area Mental Health Index) level. We estimate 633 APS participants in our intervention groups compared with 1899 participants in control areas (1:3 ratio of intervention to control). Secondary outcomes will be self-reported well-being and residential stability at the individual level and incidence of police-recorded antisocial behaviour calls and population turnover at the area level. The study size of the area-level analyses will be 3684 lower layer super output areas (including controls). Qualitative semistructured interviews with lead implementers in several London boroughs will produce insights into variations and commonalities between schemes. ETHICS AND DISSEMINATION: Ethical approval was obtained from London School of Hygiene and Tropical Medicine's Ethics Committee (reference number 26481) and London Borough of Hackney. All interviewees will be asked for informed written consent. Study findings will be published in a peer-reviewed journal.

Impact of cuts to local government spending on Sure Start children's centres on childhood obesity in England: a longitudinal ecological study.

BACKGROUND: Childhood obesity is rising in disadvantaged areas in England. Sure Start children's centres provide community-based services for children <5 years and their parents, including many services that can support healthy weight, directly or indirectly. Since 2010, austerity-driven cuts to local authority (LA) budgets have led to substantially reduced public expenditure on Sure Start services. We assessed whether childhood obesity prevalence has increased more since 2010 in those areas in England that experienced greater cuts to spending on Sure Start. METHODS: This longitudinal ecological study covers the period 2010/2011-2017/2018. Our exposure was LA expenditure on Sure Start, using Department for Education data. Our main outcome was LA obesity prevalence at age 4-5 years, using National Child Measurement Programme data. We used fixed-effects panel regression to quantify the association between change in spending and change in the prevalence of childhood obesity. RESULTS: Spending on Sure Start children's centres decreased on average 53% over the study period, with deeper cuts in more deprived LAs. Each 10% spending cut was associated with a 0.34% relative increase in obesity prevalence the following year (95% CI 0.15% to 0.53%). We estimated there were an additional 4575 children with obesity (95% CI 1751 to 7399) and 9174 overweight or obese (95% CI 2689 to 15 660) compared with expected numbers had funding levels been maintained. CONCLUSIONS: Cuts to spending on Sure Start children's centres were associated with increased childhood obesity. With deprived areas experiencing bigger spending cuts, reinvesting in these services may, alongside wider benefits for child development, contribute to reducing inequalities in childhood obesity.

Local government funding and life expectancy in England: a longitudinal ecological study.

BACKGROUND: Since 2010, large reductions in funding for local government services have been introduced in England. These reductions in funding have potentially led to reduced provision of health-promoting public services. We aimed to investigate whether areas that showed a greater decline in funding also had more adverse trends in life expectancy and premature mortality. METHODS: In this longitudinal ecological study, we linked annual data from the Ministry of Housing, Communities, and Local Government on local government revenue expenditure and financing to 147 upper-tier local authorities in England between 2013 and 2017 with data from Public Health England, on male and female life expectancy at birth, male and female life expectancy at age 65 years, and premature (younger than 75 years) all-cause mortality rate for male and female individuals. Local authorities were excluded if their populations were too small or if changes in boundaries meant consistent data were not available. Using multivariable fixed-effects panel regression models, and controlling for local socioeconomic conditions, we estimated whether changes in local funding from 2013 were associated with changes in life expectancy and premature mortality. We included a set of alternative model specifications to test the robustness of our findings. FINDINGS: Between 2013 and 2017, mean per-capita central funding to local governments decreased by 33% or £168 per person (range -£385 to £1). Each £100 reduction in annual per person funding was associated over the study period 2013-17 with an average decrease in life expectancy at birth of 1·3 months (95% CI 0·7-1·9) for male individuals and 1·2 months (0·7-1·7) for female individuals; for life expectancy at age 65 years, the results show a decrease of 0·8 months (0·3-1·3) for male individuals and 1·1 months (0·7-1·5) for female individuals. Funding reductions were greater in more deprived areas and these areas had the worst changes in life expectancy. We estimated that cuts in funding were associated with an increase in the gap in life expectancy between the most and least deprived quintiles by 3% for men and 4% for women. Overall reductions in funding during this period were associated with an additional 9600 deaths in people younger than 75 years in England (3800-15 400), an increase of 1·25%. INTERPRETATION: Our findings indicate that cuts in funding for local government might in part explain adverse trends in life expectancy. Given that more deprived areas showed greater reductions in funding, our analysis suggests that inequalities have widened. Since the pandemic, strategies to address these adverse trends in life expectancy and reduce health inequalities could prioritise reinvestment in funding for local government services, particularly within the most deprived areas of England. FUNDING: National Institute for Health Research (NIHR) School for Public Health Research, NIHR Applied Research Collaboration North East and North Cumbria, NIHR Applied Research Collaboration North West Coast and Medical Research Council.

How does vulnerability to COVID-19 vary between communities in England? Developing a Small Area Vulnerability Index (SAVI).

BACKGROUND: During the initial wave of the COVID-19 epidemic in England, several population characteristics were associated with increased risk of mortality-including, age, ethnicity, income deprivation, care home residence and housing conditions. In order to target control measures and plan for future waves of the epidemic, public health agencies need to understand how these vulnerabilities are distributed across and clustered within communities. METHODS: We performed a cross-sectional ecological analysis across 6789 small areas in England. We assessed the association between COVID-19 mortality in each area and five vulnerability measures relating to ethnicity, poverty, prevalence of long-term health conditions, living in care homes and living in overcrowded housing. Estimates from multivariable Poisson regression models were used to derive a Small Area Vulnerability Index. RESULTS: Four vulnerability measures were independently associated with age-adjusted COVID-19 mortality. Each SD increase in the proportion of the population (1) living in care homes, (2) admitted to hospital in the past 5 years for a long-term health condition, (3) from an ethnic minority background and (4) living in overcrowded housing was associated with a 28%, 19% 8% and 11% increase in age-adjusted COVID-19 mortality rate, respectively. CONCLUSION: Vulnerability to COVID-19 was noticeably higher in the North West, West Midlands and North East regions, with high levels of vulnerability clustered in some communities. Our analysis indicates the communities who will be most at risk from a second wave of the pandemic.

Trends in inequalities in Children Looked After in England between 2004 and 2019: a local area ecological analysis.

OBJECTIVE: To assess trends in inequalities in Children Looked After (CLA) in England between 2004 and 2019, after controlling for unemployment, a marker of recession and risk factor for child maltreatment. DESIGN: Longitudinal local area ecological analysis. SETTING: 150 English upper-tier local authorities. PARTICIPANTS: Children under the age of 18 years. PRIMARY OUTCOME MEASURE: The annual age-standardised rate of children starting to be looked after (CLA rate) across English local authorities, grouped into quintiles based on their level of income deprivation. Slope indices of inequality were estimated using longitudinal segmented mixed-effects models, controlling for unemployment. RESULTS: Since 2008, there has been a precipitous rise in CLA rates and a marked widening of inequalities. Unemployment was associated with rising CLA rates: for each percentage point increase in unemployment rate, an estimated additional 9 children per 100 000 per year (95% CI 6 to 11) became looked after the following year. However, inequalities increased independently of the effect of unemployment. Between 2007 and 2019, after controlling for unemployment, the gap between the most and least deprived areas increased by 15 children per 100 000 per year (95% CI 4 to 26) relative to the 2004-2006 trend. CONCLUSIONS: The dramatic increase in the rate of children starting to be looked after has been greater in poorer areas and in areas more deeply affected by recession. But trends in unemployment do not explain the decade-long rise in inequalities, suggesting that other socioeconomic factors, including rising child poverty and reduced spending on children's services, may be fuelling inequalities. Policies to safely reduce the CLA rate should urgently address the social determinants of child health and well-being.