The health impacts of housing-led regeneration: a prospective controlled study

Urban regeneration and mental health: Investigating the effects of an area-based intervention using a modified intention to treat analysis with alternative outcome measures

A quasi-experimental study of the mental health impacts of regeneration was carried out across fifteen communities in Glasgow, UK, grouped into five and then four types of intervention area. Regression modelling was undertaken to examine the effects of living in each type of area upon mental health (MCS-12 and SF-12 MH) and mental wellbeing (WEMWBS). Living in regeneration areas had no impacts on mental health or wellbeing, possibly due to incomplete implementation. Positive impacts from living in areas of housing improvement were not evident separately for areas of high-rise housing. Areas surrounding regeneration areas exhibited gains in mental health and wellbeing, contrary to notions of negative spillover. Moving between areas had negative effects, especially for those moving beyond the study areas. Changes in mental wellbeing appear less substantial compared with changes in mental health.

The impact of home energy efficiency interventions and winter fuel payments on winter- and cold-related mortality and morbidity in England: a natural equipment mixed-methods study

Background

England, and the UK more generally, has a large burden of winter- and cold-related mortality/morbidity in comparison with nearby countries in continental Europe. Improving the energy efficiency of the housing stock may help to reduce this, as well as being important for climate change and energy security objectives.

Objectives

To evaluate the impact of home energy efficiency (HEE) interventions on winter- and cold-related mortality/morbidity, including assessing the impact of winter fuel payments (WFPs) and fuel costs.

Design

A mixed-methods study – an epidemiological time-series analysis, an analysis of data on HEE interventions, the development and application of modelling methods including a multicriteria decision analysis and an in-depth interview study of householders.

Setting

England, UK.

Participants

The population of England. In-depth interviews were conducted with 12 households (2–4 participants each) and 41 individuals in three geographical regions.

Interventions

HEE interventions.

Main outcome measures

Mortality, morbidity and intervention-related changes to the home indoor environment.

Data sources

The Homes Energy Efficiency Database, mortality and hospital admissions data and weather (temperature) data.

Results

There has been a progressive decline in cold-related deaths since the mid-1970s. Since the introduction of WFPs, the gradient of association between winter cold and mortality [2.00%, 95% confidence interval (CI) 1.74% to 2.28%] per degree Celsius fall in temperature is somewhat weaker (i.e. that the population is less vulnerable to cold) than in earlier years (2.37%, 95% CI 0.22% to 2.53%). There is also evidence that years with above-average fuel costs were associated with higher vulnerability to outdoor cold. HEE measures installed in England in 2002–10 have had a relatively modest impact in improving the indoor environment. The gains in winter temperatures (around +0.09 °C on a day with maximum outdoor temperature of 5 °C) are associated with an estimated annual reduction of ≈280 cold-related deaths in England (an eventual maximum annual impact of 4000 life-years gained), but these impacts may be appreciably smaller than those of changes in indoor air quality. Modelling studies indicate the potential importance of the medium- and longer-term impacts that HEE measures have on health, which are not observable in short-term studies. They also suggest that HEE improvements of similar annualised cost to current WFPs would achieve greater improvements in health while reducing (rather than increasing) carbon dioxide emissions. In-depth interviews suggest four distinct householder framings of HEE measures (as home improvement, home maintenance, subsidised public goods and contributions to sustainability), which do not dovetail with current ‘consumerist’ national policy and may have implications for the uptake of HEE measures.

Limitations

The quantification of intervention impacts in this national study is reliant on various indirect/model-based assessments.

Conclusions

Larger-scale changes are required to the housing stock in England if the full potential benefits for improving health and for reaching increasingly important climate change mitigation targets are to be realised.

Future work

Studies based on data linkage at individual dwelling level to examine health impacts. There is a need for empirical assessment of HEE interventions on indoor air quality.

Funding

This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 6, No. 11. See the NIHR Journals Library website for further project information.

The health impacts of energy performance investments in low-income areas: a mixed-methods approach

Background

Cold homes and fuel poverty contribute to health inequalities in ways that could be addressed through energy efficiency interventions.

Objectives

To determine the health and psychosocial impacts of energy performance investments in low-income areas, particularly hospital admissions for cardiorespiratory conditions, prevalence of respiratory symptoms and mental health status, hydrothermal conditions and household energy use, psychosocial outcomes, cost consequences to the health system and the cost utility of these investments.

Design

A mixed-methods study comprising data linkage (25,908 individuals living in 4968 intervention homes), a field study with a controlled pre-/post-test design (intervention,n = 418; control,n = 418), a controlled multilevel interrupted time series analysis of internal hydrothermal conditions (intervention,n = 48; control,n = 40) and a health economic assessment.

Setting

Low-income areas across Wales.

Participants

Residents who received energy efficiency measures through the intervention programme and matched control groups.

Main outcome measures

Primary outcomes – emergency hospital admissions for cardiorespiratory conditions, self-reported respiratory symptoms, mental health status, indoor air temperature and indoor relative humidity. Secondary outcomes – emergency hospital admissions for chronic obstructive pulmonary disease-related cardiorespiratory conditions, excess winter admissions, health-related quality of life, subjective well-being, self-reported fuel poverty, financial stress and difficulties, food security, social interaction, thermal satisfaction and self-reported housing conditions.

Methods

Anonymously linked individual health records for emergency hospital admissions were analysed using mixed multilevel linear models. A quasi-experimental controlled field study used a multilevel repeated measures approach. Controlled multilevel interrupted time series analyses were conducted to estimate changes in internal hydrothermal conditions following the intervention. The economic evaluation comprised cost–consequence and cost–utility analyses.

Data sources

The Patient Episode Database for Wales 2005–14, intervention records from 28 local authorities and housing associations, and scheme managers who delivered the programme.

Results

The study found no evidence of changes in physical health. However, there were improvements in subjective well-being and a number of psychosocial outcomes. The household monitoring study found that the intervention raised indoor temperature and helped reduce energy use. No evidence was found of substantial increases in indoor humidity levels. The health economic assessment found no explicit cost reductions to the health service as a result of non-significant changes in emergency admissions for cardiorespiratory conditions.

Limitations

This was a non-randomised intervention study with household monitoring and field studies that relied on self-response. Data linkage focused on emergency admissions only.

Conclusion

Although there was no evidence that energy performance investments provide physical health benefits or reduce health service usage, there was evidence that they improve social and economic conditions that are conducive to better health and improved subjective well-being. The intervention has been successful in reducing energy use and improving the living conditions of households in low-income areas. The lack of association of emergency hospital admissions with energy performance investments means that we were unable to evidence cost saving to health-service providers.

Future work

Our research suggests the importance of incorporating evaluations with follow-up into intervention research from the start.

Funding

The National Institute for Health Research Public Health Research programme.

The short-term health and psychosocial impacts of domestic energy efficiency investments in low-income areas: a controlled before and after study

BACKGROUND

Research suggests that living in fuel poverty and cold homes contributes to poor physical and mental health, and that interventions targeted at those living in poor quality housing may lead to health improvements. However, little is known about the socio-economic intermediaries and processes that contribute to better health. This study examined the relationship between energy efficiency investments to homes in low-income areas and mental and physical health of residents, as well as a number of psychosocial outcomes likely to be part of the complex relationship between energy efficiency measures and health outcomes.

METHODS

A quasi-experimental field study with a controlled pretest-posttest design was conducted (intervention n = 364; control n = 418) to investigate the short-term health and psychosocial impacts of a domestic energy efficiency programme that took place across Wales between 2013 and 2015. Survey data were collected in the winters before and after installation of energy efficiency measures, including external wall insulation. The study used a multilevel modelling repeated measures approach to analyse the data.

RESULTS

The energy efficiency programme was not associated with improvements in physical and mental health (using the SF-12v2 physical and mental health composite scales) or reductions in self-reported respiratory and asthma symptoms. However, the programme was associated with improved subjective wellbeing (B = 0.38, 95% CI 0.12 to 0.65), as well as improvements in a number of psychosocial outcomes, including increased thermal satisfaction (OR = 3.83, 95% CI 2.40 to 5.90), reduced reports of putting up with feeling cold to save heating costs (OR = 0.49, CI = 0.25 to 0.94), fewer financial difficulties (B = -0.15, 95% CI -0.25 to -0.05), and reduced social isolation (OR = 0.32, 95% CI 0.13 to 0.77).

CONCLUSION

The study showed that investing in energy efficiency in low-income communities does not lead to self-reported health improvements in the short term. However, investments increased subjective wellbeing and were linked to a number of psychosocial intermediaries that are conducive to better health. It is likely that better living conditions contribute to improvements in health outcomes in the longer term. Better understanding of the impacts on recipients of energy efficiency schemes, could improve targeting of future fuel poverty policies.

Housing Policies and Health Inequalities

A large body of literature shows the link between inadequate housing conditions and poor physical and mental health. The aim of this paper is to summarize the research on the impact of local housing policies on health inequalities, focusing on the issues of access to housing and fuel poverty as studied in the SOPHIE project. Our case studies in Spain showed that people facing housing insecurity, experienced intense levels of mental distress. We found that access to secure and adequate housing can improve the health of these populations, therefore, public policies that address housing instability and their consequences are urgently needed. Housing conditions related to fuel poverty are associated with poorer health and are unevenly distributed across Europe. We found possible positive effects of façade insulation interventions on cold-related mortality in women living in social housing; but not in men. Policies on housing energy efficiency can reduce the health consequences of fuel poverty, but need to be free to users, target the most vulnerable groups and be adaptable to their needs.

Changes in Health Following Housing Improvement in a Vulnerable Population in Spain

The objective of this study is to compare changes in health among a sample of families living in substandard dwellings or with housing affordability problems assisted by Caritas Diocesana de Barcelona, according to the improvement of their socioeconomic and housing situation during the study period. A quasi-experimental study was performed, including 232 families assisted by Caritas who were interviewed in 2012 and one year later. Participants could have received a set of interventions, including relocation and different types of economic subsidies. Regression models were fitted to identify the association of participants' changes in self-rated general health and mental health between baseline and follow-up with improvements across three dimensions: socioeconomic situation and housing affordability, physical housing characteristics, and neighborhood. An improvement in self-reported health status was associated with having found a job and reporting fewer problems in meeting monthly housing costs. Mental health improved among participants with an increased household income, with a reduction in the perceived risk of losing their house, and with reduced housing-related material deprivations. The study shows that health gains can derive from improvements in housing conditions, especially those related to housing affordability.

Opportunities for longitudinal data linkage in Scotland

Scotland has existing data resources which are competitive internationally and available to researchers from elsewhere. The Scottish Informatics and Linkage Collaboration (SILC) was recently launched, allowing data sets to be linked within and between sectors (e.g. health to non-health). The purpose of this review article is to introduce and define key terms in data linkage, to describe the emerging data linkage resources available in Scotland and to describe the opportunities available in Scotland to researchers internationally. The review is aimed at researchers internationally who are interested in data linkage using Scottish data resources. The review makes particular reference to longitudinal health data but emphasises that linkage to non-health data allows research questions to be considered that were previously not answerable. The review is focused on longitudinal data resources (e.g. cohort studies and repeated measures designs), since they are usually the focus of data linkage research. The review concludes that any intended data linkage for research should be driven by a clear research question. The infrastructure already available and the launch of SILC will accelerate research in Scotland and generate new research questions that previously could not be considered.

Can housing improvements cure or prevent the onset of health conditions over time in deprived areas?

BACKGROUND

There is a need for more evidence linking particular housing improvements to changes in specific health conditions. Research often looks at generic works over short periods.

METHODS

We use a longitudinal sample (n = 1933) with a survey interval of 2-5 years. Multivariate logistic regression is used to calculate the odds ratios of developing or recovering from six health conditions according to receipt of four types of housing improvements.

RESULTS

Receipt of fabric works was associated with higher likelihood of recovery from mental health problems and circulatory conditions. Receipt of central heating was also associated with higher likelihood of recovery form circulatory conditions. No evidence was found for the preventative effects of housing improvements.

CONCLUSIONS

Health gain from housing improvements appears most likely when targeted at those in greatest health need. The health impacts of area-wide, non-targeted housing improvements are less clear in our study.

[Child health environment in the context of relocating of camp site families to social housing]

INTRODUCTION

Housing interventions aimed at overcoming poverty can lead to changes in the health status of children by modifying risk factors in their physical and social environment

OBJECTIVE

the aim was to identify children's environmental health factors to change with the relocation of families from slums to public housing.

SUBJECTS AND METHOD

A cross-sectional study was conducted in children ages 2-8 years old of families relocated to public housing (n=115) who were compared to children residing in slums (n=88) in Santiago, Chile. Family socioeconomic characteristics, indoor environment and neighborhoods were collected. It was included respiratory symptoms, accidents and maternal-child care of children. χ2, Fisher and Mann-Whitney test were used to compare groups.

RESULTS

There were differences in households related to pets keeping, presence of humidity/molds in homes, types of fuels, and perceived safety problems in neighborhoods (p<0.05). The families from slums reported higher tenancy of pets (73.8% v/s 32.2%%), humidity/molds in homes (43.,2% v/s 18.3%), use of wood for heating (39.8% v/s 0.0%), compared with families of public housing. Residents of public housing perceived more safety problems in neighborhood, and children have more asthma related symptoms and have lower diversity of accidents in home.

CONCLUSION

Among the factors studied, indoor air quality and safety in neighborhoods could be linked to changes from the relocation of families. This reinforces the need to deepen the positive and negative influences of residential mobility of these groups focused on child welfare perspective.

Developing empirically supported theories of change for housing investment and health

The assumption that improving housing conditions can lead to improved health may seem a self-evident hypothesis. Yet evidence from intervention studies suggests small or unclear health improvements, indicating that further thought is required to refine this hypothesis. Articulation of a theory can help avoid a black box approach to research and practice and has been advocated as especially valuable for those evaluating complex social interventions like housing. This paper presents a preliminary theory of housing improvement and health based on a systematic review conducted by the authors. Following extraction of health outcomes, data on all socio-economic impacts were extracted by two independent reviewers from both qualitative and quantitative studies. Health and socio-economic outcome data from the better quality studies (n = 23/34) were mapped onto a one page logic models by two independent reviewers and a final model reflecting reviewer agreement was prepared. Where there was supporting evidence of links between outcomes these were indicated in the model. Two models of specific improvements (warmth & energy efficiency; and housing led renewal), and a final overall model were prepared. The models provide a visual map of the best available evidence on the health and socio-economic impacts of housing improvement. The use of a logic model design helps to elucidate the possible pathways between housing improvement and health and as such might be described as an empirically based theory. Changes in housing factors were linked to changes in socio-economic determinants of health. This points to the potential for longer term health impacts which could not be detected within the lifespan of the evaluations. The developed theories are limited by the available data and need to be tested and refined. However, in addition to providing one page summaries for evidence users, the theory may usefully inform future research on housing and health.

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Theories of health impacts of complex interventions are valuable but poorly developed.

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Including socio-economic data may explain why health impacts are observed or not.

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A theory of healthy housing improvement was prepared using systematic review data.

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Quantitative and qualitative data on health and socio-economic impacts were used.

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Warmth, affordability & suitable space provision may mediate health impacts of housing.

Physical and mental health outcomes following housing improvements: evidence from the GoWell study

BACKGROUND

Existing research points towards physical and mental health gains from housing improvements, but findings are inconsistent and often not statistically significant. The detailed characteristics and variability of housing improvement works are problematic and studies are often small, not experimental, with short follow-up times.

METHODS

A quasi-experimental design was used to assess the impact on physical health and mental health (using SF-12v2 Physical and Mental health component summary scales) of four types of housing improvement works-central heating, 'Secured By Design' front doors, fabric works, kitchens and bathrooms-both singly and in pairwise combinations. A longitudinal sample of 1933 residents from 15 deprived communities in Glasgow, UK was constructed from surveys carried out in 2006, 2008 and 2011. Sociodemographic characteristics and changes in employment status were taken into account.

RESULTS

Fabric works had positive associations with physical health (+2.09, 95% CI 0.13 to 4.04) and mental health (+1.84, 95% CI 0.04 to 3.65) in 1-2 years. Kitchens and bathrooms had a positive association with mental health in 1-2 years (+2.58, 95% CI 0.79 to 4.36). Central heating had a negative association with physical health (-2.21, 95% CI -3.74 to -0.68). New front doors had a positive association with mental health in <1 year (+5.89, 95% CI 0.65 to 11.14) and when provided alongside kitchens and bathrooms (+4.25, 95% CI 1.71 to 6.80). Gaining employment had strong associations with physical health (+7.14, 95% CI 4.72 to 9.55) as well as mental health (+5.50, 95% CI 3.27 to 7.73).

CONCLUSIONS

Fabric works may provide insulation benefits and visual amenity benefits to residents. Front doors may provide important security benefits in deprived communities. Economic regeneration is important alongside property-led regeneration.

Economic analysis of the health impacts of housing improvement studies: a systematic review

BACKGROUND

Economic evaluation of public policies has been advocated but rarely performed. Studies from a systematic review of the health impacts of housing improvement included data on costs and some economic analysis. Examination of these data provides an opportunity to explore the difficulties and the potential for economic evaluation of housing.

METHODS

Data were extracted from all studies included in the systematic review of housing improvement which had reported costs and economic analysis (n=29/45). The reported data were assessed for their suitability to economic evaluation. Where an economic analysis was reported the analysis was described according to pre-set definitions of various types of economic analysis used in the field of health economics.

RESULTS

25 studies reported cost data on the intervention and/or benefits to the recipients. Of these, 11 studies reported data which was considered amenable to economic evaluation. A further four studies reported conducting an economic evaluation. Three of these studies presented a hybrid 'balance sheet' approach and indicated a net economic benefit associated with the intervention. One cost-effectiveness evaluation was identified but the data were unclearly reported; the cost-effectiveness plane suggested that the intervention was more costly and less effective than the status quo.

CONCLUSIONS

Future studies planning an economic evaluation need to (i) make best use of available data and (ii) ensure that all relevant data are collected. To facilitate this, economic evaluations should be planned alongside the intervention with input from health economists from the outset of the study. When undertaken appropriately, economic evaluation provides the potential to make significant contributions to housing policy.

An evaluation of an urban renewal program and its effects on neighborhood resident's overall wellbeing using concept mapping

Urban renewal programs aim to improve physical and socioeconomic position of neighborhoods. However, due to the intervention's complexity, there is often little evidence of their impact on health and health inequalities. This study aimed to identify the perception of a group of neighborhood residents towards a large-scale urban renewal program in Barcelona and to explore its effects and importance on their wellbeing using concept mapping methodology. Our results indicate that the majority of urban renewal projects within the initiative, including improved walkability, construction of new public spaces and more community programs, have positive and important effects on the overall wellbeing of participants. This study presents an innovative method that diverts from traditional outcome-based evaluations studies often used within this field.

Housing improvements for health and associated socio-economic outcomes

BACKGROUND

The well established links between poor housing and poor health indicate that housing improvement may be an important mechanism through which public investment can lead to health improvement. Intervention studies which have assessed the health impacts of housing improvements are an important data resource to test assumptions about the potential for health improvement. Evaluations may not detect long term health impacts due to limited follow-up periods. Impacts on socio-economic determinants of health may be a valuable proxy indication of the potential for longer term health impacts.

OBJECTIVES

To assess the health and social impacts on residents following improvements to the physical fabric of housing.

SEARCH METHODS

Twenty seven academic and grey literature bibliographic databases were searched for housing intervention studies from 1887 to July 2012 (ASSIA; Avery Index; CAB Abstracts; The Campbell Library; CINAHL; The Cochrane Library; COPAC; DH-DATA: Health Admin; EMBASE; Geobase; Global Health; IBSS; ICONDA; MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; NTIS; PAIS; PLANEX; PsycINFO; RIBA; SCIE; Sociological Abstracts; Social Science Citations Index; Science Citations Index expanded; SIGLE; SPECTR). Twelve Scandinavian grey literature and policy databases (Libris; SveMed+; Libris uppsök; DIVA; Artikelsök; NORART; DEFF; AKF; DSI; SBI; Statens Institut for Folkesundhed; Social.dk) and 23 relevant websites were searched. In addition, a request to topic experts was issued for details of relevant studies. Searches were not restricted by language or publication status.

SELECTION CRITERIA

Studies which assessed change in any health outcome following housing improvement were included. This included experimental studies and uncontrolled studies. Cross-sectional studies were excluded as correlations are not able to shed light on changes in outcomes. Studies reporting only socio-economic outcomes or indirect measures of health, such as health service use, were excluded. All housing improvements which involved a physical improvement to the fabric of the house were included. Excluded interventions were improvements to mobile homes; modifications for mobility or medical reasons; air quality; lead removal; radon exposure reduction; allergen reduction or removal; and furniture or equipment. Where an improvement included one of these in addition to an included intervention the study was included in the review. Studies were not excluded on the basis of date, location, or language.

DATA COLLECTION AND ANALYSIS

Studies were independently screened and critically appraised by two review authors. Study quality was assessed using the risk of bias tool and the Hamilton tool to accommodate non-experimental and uncontrolled studies. Health and socio-economic impact data were extracted by one review author and checked by a second review author. Studies were grouped according to broad intervention categories, date, and context before synthesis. Where possible, standardized effect estimates were calculated and statistically pooled. Where meta-analysis was not appropriate the data were tabulated and synthesized narratively following a cross-study examination of reported impacts and study characteristics. Qualitative data were summarized using a logic model to map reported impacts and links to health impacts; quantitative data were incorporated into the model.

MAIN RESULTS

Thirty-nine studies which reported quantitative or qualitative data, or both, were included in the review. Thirty-three quantitative studies were identified. This included five randomised controlled trials (RCTs) and 10 non-experimental studies of warmth improvements, 12 non-experimental studies of rehousing or retrofitting, three non-experimental studies of provision of basic improvements in low or mIddle Income countries (LMIC), and three non-experimental historical studies of rehousing from slums. Fourteen quantitative studies (42.4%) were assessed to be poor quality and were not included in the synthesis. Twelve studies reporting qualitative data were identified. These were studies of warmth improvements (n = 7) and rehousing (n = 5). Three qualitative studies were excluded from the synthesis due to lack of clarity of methods. Six of the included qualitative studies also reported quantitative data which was included in the review.Very little quantitative synthesis was possible as the data were not amenable to meta-analysis. This was largely due to extreme heterogeneity both methodologically as well as because of variations in the intervention, samples, context, and outcome; these variations remained even following grouping of interventions and outcomes. In addition, few studies reported data that were amenable to calculation of standardized effect sizes. The data were synthesised narratively.Data from studies of warmth and energy efficiency interventions suggested that improvements in general health, respiratory health, and mental health are possible. Studies which targeted those with inadequate warmth and existing chronic respiratory disease were most likely to report health improvement. Impacts following housing-led neighbourhood renewal were less clear; these interventions targeted areas rather than individual households in most need. Two poorer quality LMIC studies reported unclear or small health improvements. One better quality study of rehousing from slums (pre-1960) reported some improvement in mental health. There were few reports of adverse health impacts following housing improvement. A small number of studies gathered data on social and socio-economic impacts associated with housing improvement. Warmth improvements were associated with increased usable space, increased privacy, and improved social relationships; absences from work or school due to illness were also reduced.Very few studies reported differential impacts relevant to equity issues, and what data were reported were not amenable to synthesis.

AUTHORS' CONCLUSIONS

Housing investment which improves thermal comfort in the home can lead to health improvements, especially where the improvements are targeted at those with inadequate warmth and those with chronic respiratory disease. The health impacts of programmes which deliver improvements across areas and do not target according to levels of individual need were less clear, but reported impacts at an area level may conceal health improvements for those with the greatest potential to benefit. Best available evidence indicates that housing which is an appropriate size for the householders and is affordable to heat is linked to improved health and may promote improved social relationships within and beyond the household. In addition, there is some suggestion that provision of adequate, affordable warmth may reduce absences from school or work.While many of the interventions were targeted at low income groups, a near absence of reporting differential impacts prevented analysis of the potential for housing improvement to impact on social and economic inequalities.

A pre-and-post study of an urban renewal program in a socially disadvantaged neighbourhood in Sydney, Australia

BACKGROUND

Urban renewal programs aim to target both the physical and social environments to improve the social capital, social connectedness, sense of community and economic conditions of residents of the neighbourhoods. We evaluated the impact of an urban renewal program on the health and well-being of residents of a socially disadvantaged community in south-western Sydney, Australia.

METHODS

Pre- and post-urban renewal program surveys were conducted with householders by trained interviewers. The urban renewal program was conducted over 16 months and consisted of internal upgrades (including internal painting; replacement of kitchens, bathrooms and carpets; general maintenance), external upgrades (including property painting; new fencing, carports, letterboxes, concrete driveways, drainage and landscaping), general external maintenance, and social interventions such as community engagement activities, employment initiatives, and building a community meeting place. The questionnaire asked about demographic characteristics, self-reported physical activity, psychological distress, self-rated health, and perceptions of aesthetics, safety and walkability in the neighbourhood. We used the paired chi-square test (McNemars test) to compare paired proportions. A Bonferroni corrected p-value of <0.0013 denoted statistical significance.

RESULTS

Following the urban renewal program we did not find statistically significant changes in perceptions of aesthetics, safety and walkability in the neighbourhood. However, post-urban renewal, more householders reported there were attractive buildings and homes in their neighbourhood (18% vs 64%), felt that they belonged to the neighbourhood (48% vs 70%), that their area had a reputation for being a safe place (8% vs 27%), that they felt safe walking down their street after dark (52% vs 85%), and that people who came to live in the neighbourhood would be more likely to stay rather than move elsewhere (13% vs 54%). Changes in psychological distress and self-rated health were not statistically significant.

CONCLUSIONS

We found an increase, in the short-term, in the proportion of householders reporting improvements in some aspects of their immediate neighbourhood following the urban renewal program. It will be important to repeat the survey in the future to determine whether these positive changes are sustained.

Exploring the relationships between housing, neighbourhoods and mental wellbeing for residents of deprived areas

BACKGROUND

Housing-led regeneration has been shown to have limited effects on mental health. Considering housing and neighbourhoods as a psychosocial environment, regeneration may have greater impact on positive mental wellbeing than mental ill-health. This study examined the relationship between the positive mental wellbeing of residents living in deprived areas and their perceptions of their housing and neighbourhoods.

METHODS

A cross-sectional study of 3,911 residents in 15 deprived areas in Glasgow, Scotland. Positive mental wellbeing was measured using the Warwick-Edinburgh Mental Wellbeing Scale.

RESULTS

Using multivariate mulit-nomial logistic regressions and controlling for socio-demographic characteristics and physical health status, we found that several aspects of people's residential psychosocial environments were strongly associated with higher mental wellbeing. Mental wellbeing was higher when respondents considered the following: their neighbourhood had very good aesthetic qualities (RRR 3.3, 95% CI 1.9, 5.8); their home and neighbourhood represented personal progress (RRR 3.2 95% CI 2.2, 4.8; RRR 2.6, 95% CI 1.8, 3.7, respectively); their home had a very good external appearance (RRR 2.6, 95% CI 1.3, 5.1) and a very good front door (both an aesthetic and a security/control item) (RRR 2.1, 95% CI 1.2, 3.8); and when satisfaction with their landlord was very high (RRR 2.3, 95% CI 2.2,4.8). Perception of poor neighbourhood aesthetic quality was associated with lower wellbeing (RRR 0.4, 95% CI 0.3, 0.5).

CONCLUSIONS

This study has shown that for people living in deprived areas, the quality and aesthetics of housing and neighbourhoods are associated with mental wellbeing, but so too are feelings of respect, status and progress that may be derived from how places are created, serviced and talked about by those who live there. The implication for regeneration activities undertaken to improve housing and neighbourhoods is that it is not just the delivery of improved housing that is important for mental wellbeing, but also the quality and manner of delivery.

Material and meaningful homes: mental health impacts and psychosocial benefits of rehousing to new dwellings

OBJECTIVE

To establish whether rehousing people to new dwellings had impacts upon residents' mental health and psychosocial benefits derived from the home.

METHODS

A prospective controlled study across Scotland involving 723 householders (334 intervention; 389 control). Interviews were carried out just prior to the move, and 2 years thereafter.

RESULTS

Changes in self-reported psychosocial benefits were greater than changes in mental health. Respondents in family households appeared to have gained the most and those in older person households the least. For those in families, the most consistent effects flowed from improvements in space, privacy and change of location; for those in adult-only households, improvements in crime and safety mattered most. Gains in psychosocial benefits were associated with improved mental health (SF-36) scores.

CONCLUSIONS

Rehousing has substantial impacts on residential conditions and on psychosocial benefits, and lesser (possibly indirect) impacts upon mental health. Housing is a complex intervention applied to a heterogeneous group for a range of reasons. Hence its impacts result from different aspects of residential change for particular types of household.

The health impacts of housing improvement: a systematic review of intervention studies from 1887 to 2007

OBJECTIVES

We conducted a systematic review of the health impacts of housing improvement.

METHODS

Forty-two bibliographic databases were searched for housing intervention studies from 1887 to 2007. Studies were appraised independently by H. T. and S. T. or E. S. for sources of bias. The data were tabulated and synthesized narratively, taking into account study quality.

RESULTS

Forty-five relevant studies were identified. Improvements in general, respiratory, and mental health were reported following warmth improvement measures, but these health improvements varied across studies. Varied health impacts were reported following housing-led neighborhood renewal. Studies from the developing world suggest that provision of basic housing amenities may lead to reduced illness. There were few reports of adverse health impacts following housing improvement. Some studies reported that the housing improvement was associated with positive impacts on socioeconomic determinants of health.

CONCLUSIONS

Housing improvements, especially warmth improvements, can generate health improvements; there is little evidence of detrimental health impacts. The potential for health benefits may depend on baseline housing conditions and careful targeting of the intervention. Investigation of socioeconomic impacts associated with housing improvement is needed to investigate the potential for longer-term health impacts.

Housing and health

Heating improvements may hold most promise for developing healthy housing policy