Housing Policies and Health Inequalities

A Systematic Review of the Impact of Energy Insecurity on Mental Health During the COVID-19 Pandemic

Energy is an increasingly important social and public health concern. It is essential for good health and a prerequisite for basic needs in the household. Public health emergencies like COVID-19 have been known to be associated with mental health crises such as increased levels of loneliness, depression, and anxiety. A systematic search of the PubMed, Semantic Scholar, and ScienceDirect databases was conducted. After duplicate removal, title, abstract, and content screening, retrieval, and quality assessment, 11 studies met the criteria for this systematic review of articles. This study highlighted that the COVID-19 pandemic created a mental health crisis associated with various factors, particularly energy insecurity. The social implications for this study show that it is important for individuals and the public health community to recognize the impact that energy insecurity has on the population more specifically recognizing how energy insecurity affects mental health. Public health measures should focus on getting direct help to households that are struggling to keep the home at a safe temperature and pay their energy bills.

Housing instability patterns among low-income, urban Black young adults in California and associations with mental health outcomes: baseline data from a randomized waitlist-controlled trial

BACKGROUND

Deep-rooted racial residential segregation and housing discrimination have given rise to housing disparities among low-income Black young adults in the US. Most studies have focused on single dimensions of housing instability, and thus provide a partial view of how Black young adults experience multiple, and perhaps overlapping, experiences of housing instability including homelessness, frequent moves, unaffordability, or evictions. We aimed to illuminate the multiple forms of housing instability that Black young adults contend with and examine relationships between housing instability and mental health outcomes.

METHODS

Using baseline data from the Black Economic Equity Movement (BEEM) guaranteed income trial with 300 urban low-income Black young adults (aged 18-24), we conducted a three-stage latent class analysis using nine housing instability indicators. We identified distinct patterns by using fit indices and theory to determine the optimal number of latent classes. We then used multinomial logistic regression to identify subpopulations disproportionately represented within unstable housing patterns. Finally, we estimated associations between housing experience patterns and mental health outcomes: depression, anxiety, and hope.

RESULTS

We found high prevalence of housing instability with 27.3% of participants reporting experiences of homelessness in the prior year and 39.0% of participants reporting multiple measures of housing instability. We found the 4-class solution to be the best fitting model for the data based on fit indices and theory. Latent classes were characterized as four housing experience patterns: 1) more stably housed, 2) unaffordable and overcrowded housing, 3) mainly unhoused, and 4) multiple dimensions of housing instability. Those experiencing unaffordable and overcrowded housing and being mainly unhoused were more than four times as likely to have symptoms of depression (Unaffordable: aOR = 4.57, 95% CI: 1.64, 12.72; Unhoused: aOR = 4.67, 95% CI:1.18, 18.48) and more than twice as likely to report anxiety (Unaffordable: aOR = 2.28, 95% CI: 1.03, 5.04; Unhoused: aOR = 3.36, 95% CI: 1.12, 10.05) compared to the more stably housed pattern. We found that hope scores were similarly high across patterns.

CONCLUSIONS

High prevalence of housing instability and mental health challenges among low-income Black young adults demands tailored interventions to reduce instability, given widening racial disparities and implications for future well-being into adulthood.

Housing tenure and disability in the UK: trends and projections 2004-2030

Introduction

Housing is a major influence on health. Housing tenure is associated with housing conditions, affordability, and security and is an important dimension of housing. In the UK there have been profound changes in both housing conditions and the distribution of households by tenure over the past century, that is during the lifetimes of the current population.

Methods

We firstly reviewed and summarise changes in housing conditions, housing policy and tenure distribution as they provide a context to possible explanations for health variations by housing tenure, including health related selection into different tenure types. We then use 2015-2021 data from a large nationally representative UK survey to analyse associations between housing tenure and self-reported disability among those aged 40-69 controlling for other socio-demographic factors also associated with health. We additionally examine changes in the association between housing tenure and self-reported disability in the population aged 25 and over in the first two decades of the 21st century and project trends forward to 2030.

Results

Results show that associations between housing tenure and disability by tenure were stronger than for any other indicator of socio-economic position considered with owner-occupiers having the best, and social renters the worst, health. Differences were particularly marked in reported mental health conditions and in economic activity, with 28% of social renters being economically inactive due to health problems, compared with 4% of owner-occupiers. Rates of disability have increased over time, and become increasingly polarised by tenure. By 2020 the age standardised disability rate among tenants of social housing was over twice as high as that for owner occupiers, with projections indicating further increases in both levels, and differentials in, disability by 2030.

Discussion

These results have substantial implications for housing providers, local authorities and for public health.

How Housing Stress Affect Health Care Costs: A Panel Data Study

As housing prices in China continue to escalate and the limitations of the "personal unlimited liability system" for housing loans become more evident, the financial stress on families has significantly increased. This stress not only impacts the physical and mental health of family members but also results in rising health care costs. This paper presents empirical research examining how housing stress influences changes in household health care costs through a panel data analysis. The study is based on the China Family Panel Study (CFPS) database and employs a panel two-way fixed effect model alongside a mediating effect model to examine the impact of housing stress, family income, and health status on health care costs. The findings reveal a significant positive correlation between housing stress and health care costs; specifically, for every 1% point increase in housing stress, health care costs rise by 0.141. Robustness tests and propensity score matching (PSM) further validate these findings, even after addressing endogeneity issues. Mediation effect analysis indicates that for every 1% point increase in housing stress, household disposable income decreases by 1.749, and health status declines by 0.468, thereby increasing household health care costs. Heterogeneity analysis demonstrates that housing stress has a more pronounced impact on health care costs among western, eastern, urban, and rental households. The government should implement various measures, such as promoting a "personal limited liability system" mortgage policy, reducing housing prices, and ensuring equal rights to rent and purchase, to alleviate housing stress, enhance family income, and improve residents' health status. These actions would contribute to the promotion of both the housing market and medical care, supporting the sustainable development of the health care sector and ultimately improving long-term social welfare.

Cold, dark and malnourished: a cross-sectional analysis of the relationship between energy poverty and household burden of malnutrition in sub-Saharan Africa

OBJECTIVE

Energy poverty contributes to the general well-being of households; however, there is representational paucity on its role in household nutrition across sub-Saharan Africa (SSA). This study examined the influence of different domains of energy poverty and a Multidimensional Energy Poverty Index (MEPI) on household burden of malnutrition in SSA.

SETTING

Secondary data from the most recent Demographic and Health Survey conducted in 18 SSA countries were analysed.

DESIGN

A cross-sectional design was used to examine the relationship between household energy poverty and household burden of malnutrition.

METHODS

Different dimensions of household energy poverty and an MEPI were computed from the sources of energy used for cooking, lighting, entertainment and accessing information by households. Household burden of malnutrition was coded as a binary categorical dependent variable using indicators of undernutrition, overnutrition and anaemia among women of reproductive age (15-49 years) and children under five years in the household.

RESULTS

More than nine in ten households were energy poor in terms of cooking fuel and about three in four were energy poor in terms of lighting. Considering the various domains of energy poverty, lack of electricity for lighting, using biofuels, not owning a refrigerator/freezer, not owning a television/radio and not owning a mobile phone were associated with increased odds of a household experiencing undernutrition. Similarly, deprivation in these domains was associated with a lower likelihood of households experiencing overnutrition, the only exception being using biofuels. Overall, households that were most energy poor on the MEPI were more likely to be undernourished and double and triple burden malnutrition households but less likely to suffer from overnutrition.

CONCLUSION

These results highlight the complex and multifaceted nature of the relationship between energy poverty and household burden of malnutrition and provides guidance for appropriate interventions to address energy poverty and malnutrition in SSA.

A happy home? Socio-economic inequalities in depressive symptoms and the role of housing quality in nine European countries

BACKGROUND

This study examines the prevalence of and socio-economic inequalities in depressive symptoms in nine high-income European countries, focusing in particular on the role of housing quality.

METHODS

Using the European Social Survey, a concentration index of depressive symptoms in each country is estimated. The role of housing quality is assessed by examining the risk factors associated with the concentration index, using the Recentred Influence Function method. To contextualise the housing quality results, other predictors of inequalities in depressive symptoms inequalities are also quantified and discussed.

RESULTS

Our results indicate that inequalities in depressive symptoms are concentrated among poorer respondents both in each country and in total. Austria and Belgium have the lowest inequalities and France has the highest. No geographic pattern is evident. Housing problems are associated with higher inequalities in six of the nine countries in the sample. While no association is evident for indicators of socio-economic status such as years of education and income, financial strain is significant.

CONCLUSIONS

This study is the first to estimate the degree of socio-economic inequality in depressive symptoms across European countries. The association between poor housing and poorer inequalities suggests that housing has a role to play lowering depressive symptoms inequalities.

Assessing the impact of energy and fuel poverty on health: a European scoping review

BACKGROUND

The burden of energy and fuel poverty (EFP) in Europe is increasing in the face of the cost-of-living crisis, the Russian invasion of Ukraine, the coronavirus disease 2019 (COVID-19) pandemic and the climate emergency. While the health impacts of EFP are often the driving reason for addressing it, EFP's association with health is poorly delineated. This review aims to scope the evidence of EFP's association with health in Europe.

METHODS

A scoping review based on Arksey and O'Malley's framework was conducted using search terms relevant to EFP, health and Europe. Five databases were searched, in addition to hand searching. Review selection was performed by two independent reviewers, and articles were thematically analyzed.

RESULTS

Thirty-five articles published between January 2000 and March 2022 were included. The literature varied in definitions and measurements of EFP and in the health indicators examined. The review revealed a negative association between EFP and health, specifically, general unspecified poor health (9 articles), excess winter mortality (3 articles), communicable diseases (3 articles), non-communicable diseases (11 articles), mental health (15 articles) and well-being (12 articles). While women were reported to be at a higher risk of EFP than men, children and older adults were identified as particularly vulnerable to EFP's adverse health repercussions.

CONCLUSIONS

This scoping review illustrates a significant and complex association between EFP and various domains of health. Though heterogeneity across research makes it difficult to compare findings, our review supports the use of health as a justification to address EFP and urges public health to be more involved in EFP mitigation.

Determinants of self-reported health status during COVID-19 lockdown among surveyed Ecuadorian population: A cross sectional study

OBJECTIVE

To examine the associations of sociodemographic, socioeconomic, and behavioral factors with depression, anxiety, and self-reported health status during the COVID-19 lockdown in Ecuador. We also assessed the differences in these associations between women and men.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a cross-sectional survey between July to October 2020 to adults who were living in Ecuador between March to October 2020. All data were collected through an online survey. We ran descriptive and bivariate analyses and fitted sex-stratified multivariate logistic regression models to assess the association between explanatory variables and self-reported health status.

RESULTS

1801 women and 1123 men completed the survey. Their median (IQR) age was 34 (27-44) years, most participants had a university education (84%) and a full-time public or private job (63%); 16% of participants had poor health self-perception. Poor self-perceived health was associated with being female, having solely public healthcare system access, perceiving housing conditions as inadequate, living with cohabitants requiring care, perceiving difficulties in coping with work or managing household chores, COVID-19 infection, chronic disease, and depression symptoms were significantly and independently associated with poor self-reported health status. For women, self-employment, having solely public healthcare system access, perceiving housing conditions as inadequate, having cohabitants requiring care, having very high difficulties to cope with household chores, having COVID-19, and having a chronic disease increased the likelihood of having poor self-reported health status. For men, poor or inadequate housing, presence of any chronic disease, and depression increased the likelihood of having poor self-reported health status.

CONCLUSION

Being female, having solely public healthcare system access, perceiving housing conditions as inadequate, living with cohabitants requiring care, perceiving difficulties in coping with work or managing household chores, COVID-19 infection, chronic disease, and depression symptoms were significantly and independently associated with poor self-reported health status in Ecuadorian population.

Eviction as a social determinant of pregnancy health: County-level eviction rates and adverse birth outcomes in the United States

Access to housing is an important manifestation of structural racism and discrimination, and birth outcomes show wide health disparities, but few studies have examined eviction and birth outcomes. This multilevel study merged data from the Eviction Lab on 2015 eviction judgements and records with the National Center for Health Statistics natality dataset. The analytic sample included 2,950,965 births across 5924 counties in 45 states. Outcomes of interest were low birthweight (<2500 g; LBW) and preterm birth (<37 weeks gestation; PTB). We fit generalised estimating equations to account for clustering within county and a logistic distribution to estimate the odds ratio of LBW or PTB associated with the county-level eviction rate, with control for individual- and county-level characteristics. Results were calculated separately for non-Hispanic white, non-Hispanic black and Hispanic mothers. After adjustment for covariates, living in the counties in the highest quartile of eviction was associated with a 12-13% increased odds of LBW. The magnitude of association with PTB was not as large. Non-Hispanic black women were more likely to live in counties in the highest quartile of eviction rate (43%, vs. 23% for white women and 23% for Hispanic women) or filing rate (44%, vs. 23% for white and 18% for Hispanic). The association between eviction rate and LBW/PTB was strongest for black women, while there was essentially no association among Hispanic women. Housing instability may be a key social determinant of poor birth outcomes and should be considered in state and local maternal and child health policy and programming.

Extreme Temperature and Mortality by Educational Attainment in Spain, 2012-2018

Extreme temperatures are a threat to public health, increasing mortality in the affected population. Moreover, there is substantial research showing how age and gender shape vulnerabilities to this environmental risk. However, there is only limited knowledge on how socioeconomic status (SES), operationalized using educational attainment, stratifies the effect of extreme temperatures on mortality. Here, we address this link using Poisson regression and administrative data from 2012 to 2018 for 50 Spanish Provinces on individuals aged above 65 matched with meteorological data provided by the E-OBS dataset. In line with previous studies, results show that hot and cold days increase mortality. Results on the interaction between SES and extreme temperatures show a positive and significant effect of exposure to heat and cold for individuals with medium and low SES level. Conversely, for high SES individuals we do not find evidence of a robust association with heat or cold. We further investigate how the local climate moderates these associations. A warmer climate increases risks with exposures to low temperatures and vice versa for hot temperatures in the pooled sample. Moreover, we observe that results are mostly driven by low SES individuals being particularly vulnerable to heat in colder climates and cold in warmer climates. In conclusion, results highlight how educational attainment stratifies the effect of extreme temperatures and the relevance of the local climate in shaping risks of low SES individuals aged above 65.

Housing Stability and Access to General Healthcare and Reproductive Healthcare Among Women in Ohio

Background

The relationship between housing instability and reproductive healthcare is understudied. We examined the association between housing insecurity and access and utilization of general healthcare, contraceptive healthcare, and abortion care.

Methods

Using data from a population-representative survey of adult reproductive-age Ohio women (N = 2,529), we assessed housing insecurity (not paying rent/mortgage on time in the past year). We examined associations between housing insecurity and the following outcomes: (1) not being able to access general healthcare in the past year; (2) experiencing delays or difficulties in accessing contraceptive healthcare in the past year; and (3) ever having an abortion. We used unadjusted and adjusted logistic regression models. We selected confounders a priori and included age, socioeconomic status, and healthcare status.

Results

Overall, 10.6% of Ohio women of adult reproductive age experienced housing insecurity. Approximately 27.5% of respondents were not able to access general healthcare and 10.4% experienced delays or difficulties in accessing contraceptive care. Compared to housing-secure respondents, housing-insecure women were less able to access general healthcare (adjusted odds ratio [aOR]:2.16; 95% confidence interval [CI]:1.45–3.23) and more likely to experience delays or difficulties when accessing contraceptive care (aOR:1.74; 95% CI:1.00-3.04). Insecure housing was not statistically associated with ever having an abortion (aOR:1.76; 95% CI:0.93–3.34).

Conclusions

In this study, recent housing insecurity was associated with poorer access to general and contraceptive healthcare. Studies utilizing multidimensional measures of housing insecurity and other material insecurity measures are needed to further explore the relationship between material insecurity and access to general and contraceptive care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10995-022-03492-5.

Housing and health in vulnerable social groups: an overview and bibliometric analysis

Previous studies have confirmed that poor living conditions can lead to a wide range of health problems. However, in the context of the COVID-19 pandemic, vulnerable groups in unstable housing are more susceptible to disease. This study aims to systematically examine the housing and health problems of vulnerable groups using a bibliometric approach to explore how housing causes health problems, types of health illnesses, and coping strategies. It is found that the poor housing mechanism, persistent inequalities, and poor housing environments have a significant impact on the health of vulnerable groups. Therefore, the government must make concerted efforts across all sectors to ensure that the housing and health care needs of vulnerable groups are improved, and that housing security standards and related policies are improved; targeted safety plans are formulated with community as the carrier, taking into account the characteristics of vulnerable groups; and new information technology is widely used to provide medical convenience for vulnerable groups. It is hoped that the research in this paper can arouse social attention to the health of vulnerable groups and improve their health from the perspective of housing, so as to point out the direction for solving the housing health problems of vulnerable groups in the future.

Policy Modelling for Ambitious Energy Efficiency Investment in the EU Residential Buildings

This paper presents the challenges of increasing the energy efficiency investments in European Union (EU) residential buildings in the context of achieving climate neutrality by 2050. The paper presents the results of the PRIMES buildings model in key energy policy applications to support cost-effective and fair policy making in buildings across Europe. The model covers, in detail, the building sector for all the EU Member States (MS), segmenting the buildings into many categories. The approach proposed includes non-market barriers in conventional microeconomic modelling, which combined with idiosyncratic preferences can capture poor energy efficiency choices and still represent rational behaviours. The model includes a detailed portrayal of policies specific to the sector, comprising economic and regulatory policies as well as institutional measures. The results of the model show that the removal of non-market barriers is of great importance in reducing energy consumption and increasing both the pace and the depth of renovation investment. However, the institutional measures alone are not enough to induce energy efficiency improvement to the scale required to achieve the climate neutrality objectives. Economic (i.e., subsidies) or regulatory measures (i.e., energy performance standards) are also required to decrease emissions and energy consumption in buildings and the paper compares different configurations thereof. The optimum policy mix obviously derives from a compromise among various aims including the cost-effectiveness of the policy budget and the distributional impacts across building and consumer types.

Linking Energy Poverty with Thermal Building Regulations and Energy Efficiency Policies in Portugal

Energy-poverty (EP) must be considered an energy-related issue since buildings are a central part of people’s daily lives. Thus, it has an important role in energy-related policy implementation. Even though the European Union (EU) has endorsed general energy efficiency through the Energy Efficiency Directive and Energy Performance of Buildings Directive recast, it was the Clean Energy Package for all Europeans that clearly highlighted EP. The growing concerns with EP have also been emphasised in subsequent directives and initiatives. Despite some regulatory framework and the milder climate situation, the proportion of the population experiencing thermal discomfort in southern and eastern European countries, namely in the winter season, is relatively high, reflecting the poor thermal performance of building stock, low family incomes and high energy prices, among others. The current work analysed the EP evolution in Portugal in the EU context, and the Thermal Building Regulations and Energy Efficiency Policies developed, aiming to add insight into the effectiveness of those policies concerning EP mitigation in Portugal as an EU Member state. Moreover, a critical debate on the potential to lower the EP Portuguese situation was also an objective to pursue. It is plausible to admit that reducing EP by acting on residential building stock, namely through the increase of energy efficiency and comfort, plays a key role in improving the living conditions, namely of vulnerable households and deprived areas. This will also decrease energy consumption and dependence while further promoting a smarter, sustainable and inclusive society, contributing to economic growth.

Spatial distribution of neighborhood-level housing prices and its association with all-cause mortality in Seoul, Korea (2013-2018): A spatial panel data analysis

Housing prices are known to be a relevant indicator of the socioeconomic position of the neighborhood. In a society where the market system mainly drives housing prices, residents' spatial patterning is formulated according to their socioeconomic position. Dividing the 2013-2018 entire study period into three periods, we explored the spatial distribution of housing prices and all-cause mortality and their association in Seoul, the country's capital city. The government authorities' data and 2015 census data were used for the study. We mapped the spatial distribution of housing prices and all-cause mortality and investigated the changes in distribution. We conducted a pooled ordinary least square (OLS) and spatial panel regression analysis to estimate housing prices elasticity of all-cause mortality. We also explored the possible mediating role of housing prices on the educational composition's effect on all-cause mortality. We found the common trends of increasing spatial patterning of housing prices and all-cause mortality. The magnitude of spatial patterning was far greater in housing prices than all-cause mortality. A pooled OLS regression analysis found that a 1% increase in housing price was associated with a 0.11% reduction in all-cause mortality after controlling the explanatory variables. Attenuation in the regression coefficient's magnitude was found after adding the neighborhood's educational composition to the model. As a result of spatial panel analysis, we found a direction and scale similar to the housing price elasticity of all-cause mortality in the final pooled OLS model. The results suggested that spatial health inequality in Korea's urban space mainly stems from socioeconomic inequality.

The Association of Energy Poverty with Health and Wellbeing in Children in a Mediterranean City

Children have been identified as being particularly vulnerable to energy poverty (EP), but little empirical research has addressed the effect of EP on children’s health and wellbeing, especially in southern Europe. In this work we aimed to provide an in-depth description of the distribution of EP by sociodemographic, socioeconomic and housing characteristics, as well as to analyse the association between EP and health and wellbeing in children in Barcelona. We performed a cross-sectional study using data from the Barcelona Health Survey for 2016 (n = 481 children under 15 years). We analysed the association between EP and health outcomes through prevalence differences and prevalence ratios (PR) and their 95% confidence interval (CI), using Poisson regression models with robust variance. In Barcelona, 10.6% of children were living in EP and large inequalities were found by sociodemographic, socioeconomic and housing characteristics. EP was strongly associated with poor health in children (PR (95% CI): 7.70 (2.86, 20.72)). Living in EP was also associated with poor mental health (PR (95% CI): 2.46 (1.21, 4.99)) and with more cases of asthma (PR (95% CI): 4.19 (1.47, 11.90)) and overweight (PR (95% CI): 1.50 (1.05, 2.15)) in children. It is urgent to develop specific measures to avoid such serious and unfair health effects on children.

The association of energy poverty with health, health care utilisation and medication use in southern Europe

Energy poverty (EP) is defined as the inability of a household to secure a socially and materially required level of energy services in the home. The main objective of this study was to analyse the association between EP and distinct indicators of health status, health services utilisation and medication use in southern Europe, using the city of Barcelona as a case study. We conducted a cross-sectional study using the data of the Barcelona Health Survey for 2016 (n = 3519, 53.3% women). We calculated EP percentages according to age, country of birth and social class. We analysed the association between EP and 26 health-related indicators through prevalence ratios (PR), and quantified the impact of EP on health at the population level by calculating the percentage of population attributable risk (PAR%). In Barcelona, 13.3% of women and 11.3% of men experienced EP. The most frequently affected groups were people born in low- and middle-income countries, those from more disadvantaged social classes, and women aged 65 years and older. We found a strong association between EP and worse health status, as well as higher use of health services and medication. For example, compared with women without EP, those with EP reported poor mental health 1.9 (95% CI: 1.6-2.4) times more frequently. Compared with men without EP, those with EP reported poor mental health 2.1 (95% CI: 1.6-2.8) times more frequently. The combination of high EP prevalence and the strong association between EP and negative health outcomes resulted in high PAR%, indicating the striking impact of EP on health and health services at the population level. EP is an important public health problem in southern European urban contexts that should be included in policy priorities in order to address its structural causes and minimise its unfair and avoidable health effects.

Gender-based approach on the social impact and mental health in Spain during COVID-19 lockdown: a cross-sectional study

OBJECTIVE

Lockdown has impacts on people's living conditions and mental health. The study aims to assess the relations between social impact and mental health among adults living in Spain during COVID-19 lockdown measures, taking a gender-based approach into account.

DESIGN, SETTING AND PARTICIPANTS

We conducted a cross-sectional study among adults living in Spain during the lockdown of COVID-19 with an online survey from 8 April to 28 May 2020. The main variable was mental health measured by Generalized Anxiety Disorder Scale for anxiety and the Patient Health Questionnaire for depression. Sex-stratified multivariate ordinal logistic regression models were constructed to assess the association between social impact variables, anxiety and depression.

RESULTS

A total of 7053 people completed this survey. A total of 31.2% of women and 17.7% of men reported anxiety. Depression levels were reported in 28.5% of women and 16.7% of men. A higher proportion of anxiety and depression levels was found in the younger population (18-35 years), especially in women. Poorer mental health was mainly related to fear of COVID-19 infection, with higher anxiety levels especially in women (adjusted ordinal OR (aOR): 4.23, 95% CI 3.68 to 4.87) and worsened economy with higher levels of depression in women (aOR: 1.51, 95% CI 1.24 to 1.84), and perceived inadequate housing to cope with lockdown was especially associated with anxiety in men (aOR: 2.53, 95% CI 1.93 to 3.44).

CONCLUSION

The social impact of the lockdown is related to gender, age and socioeconomic conditions. Women and young people had worse mental health outcomes during lockdown. It is urgent to establish strategies for public health emergencies that include mental health and its determinants, taking a gender-based approach into account, in order to reduce health inequities.

The effects of cohousing model on people's health and wellbeing: a scoping review

Background

Housing is a social determinant of health. Extensive research has highlighted its adverse effects on health. However, less is known about the effects of cohousing typology on health, which has the potential to create lively social networks and healthy communities and environments. We report the findings of a scoping study designed to gather and synthesise all known evidence on the relationship between cohousing and wellbeing and health.

Method

Using the scoping review method, we conducted a literature review in PubMed, ProQuest, Scopus, Web of Science, Science Direct and JSTOR in May 2019 and selected articles published from 1960 onwards, with no geographical limit and no design restrictions. Retrieved articles underwent three sequential screening phases. The results were described through a narrative synthesis of the evidence.

Results

Of the 2560 articles identified, we selected 25 full-text articles analysing 77 experiences. All of them were conducted in high-income countries. Ten studies analysed the impact of cohousing on physical and mental health or quality of life and wellbeing. Eight of the 10 studies found a positive association. In addition, 22 studies analysed one or more psychosocial determinants of health (such as social support, sense of community and physical, emotional and economic security) and most found a positive association. Through these determinants, quality of life, wellbeing and health could be improved. However, the quality of the evidence was low.

Discussion

The cohousing model could enhance health and wellbeing mediated by psychosocial determinants of health. However, extreme caution should be exercised in drawing any conclusions due to the dearth of data identified and the designs used in the included studies, with most being cross-sectional or qualitative studies, which precluded causal-based interpretations. Because housing is a major social determinant of health, more evidence is needed on the impact of this model on health through both psychosocial and material pathways.

Affordable, Social, and Substandard Housing and Mortality: The EPIPorto Cohort Study, 1999-2019

Objectives. To examine the association between residence in different housing typologies and all-cause and cause-specific mortality, and to compare with the 25 × 25 risk factors defined by the World Health Organization.Methods. We used data from EPIPorto cohort (Porto, Portugal; n = 2485). We georeferenced and matched participants to a housing type-conventional, affordable, social, or substandard housing (locally called ilhas). We used Poisson regression models to estimate mortality rates and associations.Results. Age- and sex-adjusted mortality rates (per 100 000 person-years) were 713 (95% confidence interval [CI] = 584, 863) for individuals residing in conventional housing, and 1019 (95% CI = 637, 1551), 1200 (95% CI = 916, 1551), and 1239 (95% CI = 839, 1772) for individuals residing in affordable housing, social housing, and ilhas, respectively. After further adjustment, the associations between mortality and residence in social housing (rate ratio [RR] = 1.59; 95% CI = 1.22, 2.06) and in ilhas (RR = 1.64; 95% CI = 1.12, 2.33) remained. The association between disadvantaged housing and mortality was stronger than that observed for well-established risk factors such as hypertension, sedentariness, heavy drinking, manual occupation, or obesity.Conclusions. Disadvantaged housing is a major risk factor for mortality that should be accounted for by health policies and surveillance systems.

Energy poverty and health: Trends in the European Union before and during the economic crisis, 2007-2016

The aim of this study is to analyse the time trends in the European Union (EU) before and during the economic crisis in 1) the energy poverty (EP) prevalence; 2) the association between EP and health and 3) the impact of EP on health. We analyse trends among women and men in two EU macro regions, defined by a novel index of structural vulnerability to EP. The study shows how EP and its impact on health worsened during the economic crisis and identifies groups at higher risk such as women and people living in Mediterranean and Eastern European countries, which have been found to be countries with higher structural vulnerability to EP.

Sex-Specific Associations Between Area-Level Poverty and Cardiometabolic Dysfunction Among US Adolescents

OBJECTIVE

Cardiometabolic disease is the leading cause of mortality in the United States. Cardiometabolic function during adolescence predicts future cardiometabolic disease, yet few studies have examined early determinants of cardiometabolic function. Informed by evidence of sex differences in the prevalence and severity of cardiometabolic disorders and evidence of sexual dimorphism in the stress response, we examined sex differences in the association between living in poverty and cardiometabolic function during adolescence, a precursor of later cardiometabolic disorders.

METHODS

We linked data from 10 415 adolescents aged 12-19 in the National Health and Nutrition Examination Survey (1999-2012) with US Census-tract data on area-level poverty (percentage of the population living in poverty, grouped into quartiles). We parameterized cardiometabolic dysfunction by summing the z scores of 6 cardiometabolic biomarkers, grouped into quintiles. Hierarchical ordinal models estimated associations.

RESULTS

Compared with residents in low-poverty areas, residents in high-poverty areas had elevated odds of cardiometabolic dysfunction (highest quartile of poverty odds ratio [OR] = 1.27; 95% confidence interval [CI], 1.08-1.50). This association was more pronounced among boys than girls (highest quartile of poverty for boys: OR = 1.36; 95% CI, 1.10-1.70; highest quartile of poverty for girls: OR = 1.17; 95% CI, 0.94-1.47).

CONCLUSION

Our study supports the existence of sex-specific associations. These results highlight the potential for community-based programs, such as housing assistance, to improve population health.

Qualitative evaluation of an intervention to reduce energy poverty

OBJECTIVE

To evaluate the “ Energía, la justa ” program, aimed at reducing energy poverty in the city of Barcelona, from the point of view of the target population and the workers involved in the intervention.

METHODS

A qualitative, descriptive and exploratory pilot study was carried out, with a phenomenological approach. Twelve semi-structured interviews were conducted: to three users, three energy agents who performed interventions in the homes, and six professionals who participated in the program coordination. A thematic content analysis was carried out using Atlas-ti software . Interviews were conducted between October 2016 and March 2017.

RESULTS

Trust in a contact person (e.g. social workers) facilitated the participation, although there were difficulties reaching people who had illegal energy supplies, immigrant women or immigrants who subrent properties. Regarding implementation, home visits, energy efficiency advice and the relationship with energy agents were the best assessed aspects. However, not being able to carry out reforms in deteriorated dwellings was considered a limitation. The program also contributed to raise awareness on energy rights, to save on utility bills and to generate tranquility and social support.

CONCLUSIONS

Programs such as this one can promote energy empowerment and improve psychosocial status. However, strategies with a gender and equity perspective should be considered to reach other vulnerable groups.

Neighborhood Context, Homeownership and Home Value: An Ecological Analysis of Implications for Health

While homeownership has been linked to positive health outcomes there is limited evidence regarding the conditions under which it may be health protective. We present a conceptual model linking homeownership to health, highlighting key potential pathways. Using the Detroit Metropolitan Area as a case study, and data from the American Community Survey (2009-2013; 5-years estimates) and Michigan Department of Community Health, we tested the following questions: (1) Is neighborhood percentage non-Hispanic Black (NHB) associated with homeownership? (2) Is neighborhood percentage NHB associated with health? (3) Is the association between percentage NHB and health mediated by homeownership? (4) Does neighborhood housing value modify associations between percentage NHB and health, or between homeownership and health? Percentage NHB was associated with homeownership and health outcomes; Associations between percentage NHB and mortality, but not disability, were partially mediated by neighborhood homeownership. Neighborhood housing value modified associations between neighborhood homeownership and both disability and mortality, but not between percentage NHB and health outcomes. Findings are consistent with the thesis that health-promoting effects of homeownership may be contingent upon house values. These results add to a limited body of evidence suggesting that variations in homeownership may contribute to persistent racial and socioeconomic health inequities.