Home foreclosure, health, and mental health: a systematic review of individual, aggregate, and contextual associations

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.

Obesity in U.S. low-income veterans:Prevalence, clinical characteristics, and homelessness

OBJECTIVE

Obesity is associated with lower socioeconomic status. To date, however, scarce research has examined the prevalence, comorbidity, and incremental burden of obesity in relation to medical, psychiatric, functional, and homelessness measures among low-income veterans.

METHODS

A nationally representative sample of 1004 low-income U.S. veterans was examined. Bivariate and multivariable analyses were conducted to assess relationships between obesity and medical and psychiatric comorbidities, functioning, and homelessness measures.

RESULTS

The prevalence estimate of obesity among low-income U.S. veterans was 38.2% (confidence interval (CI): 34.2; 42.2), which is higher than previously reported for the general U.S. veteran population. It was particularly high among young, females with children. Obesity was associated with co-occurring medical (chronic pain, diabetes, sleep disorders, high blood pressure, heart disease) and psychiatric (trauma- and anxiety-related) conditions, poor functioning, and current psychiatric medication use. Veterans with obesity were less likely to have current savings and more likely to have current debt. They also were more likely to have experienced evictions and foreclosures and less likely to use active coping or positive reframing as a means of dealing with stressful situations.

CONCLUSION

The prevalence of obesity among U.S. veterans is high. Specific demographic groups particularly vulnerable to developing obesity warrant targeted interventions. Modifying weight management programs, understanding coping styles, and assessing, monitoring, and treating obesity in low-income veterans may help improve overall health and quality of life in multiple domains.

Assets and depression in U.S. adults during the COVID-19 pandemic: a systematic review

PURPOSE

Mental health is shaped by social and economic contexts, which were altered during the COVID-19 pandemic. No study has systematically reviewed the literature on the relation between different assets and depression during the COVID-19 pandemic.

METHODS

We conducted a systematic review of the literature on financial (e.g. income/savings), physical (e.g., home ownership), and social (e.g., marital status, educational attainment) assets and depression in U.S. adults. For each asset type, we created binary comparisons to report on the direction of the relationship and described if each study reported insignificant, positive, negative, or mixed associations.

RESULTS

Among the 41 articles identified, we found that income was the most studied asset (n=34), followed by education (n=25), marital status (n=18), home ownership (n=5), and savings (n=4). 88%, 100%, and 100% of articles reported a significant association of higher income, home ownership, and higher savings, respectively, with less depression. The association between marital status and education with depression was more nuanced: 72% (13 of 18) studies showed that unmarried persons had greater risk of depression than married or cohabitating persons and 52% (13 of 25) of studies reported no significant difference in depression across educational groups.

CONCLUSION

This work adds to the literature a deeper understanding of how different assets relate to depression. In the context of largescale traumatic events, policies that maintain and protect access to social, physical, and financial assets may help to protect mental health.

Housing and Health in Older Adults With Low Income in the United States: An Integrative Review

PURPOSE

The current integrative review was conducted to understand the relationship between housing and health in older adults with low income in the United States.

METHOD

A literature search yielded 20 articles that met inclusion criteria. Key data elements were extracted from each article and a five-level social ecological model (SEM) was used as a framework to analyze the findings.

RESULTS

The analysis yielded themes associated with each SEM level: Interaction Between Housing and Personal Traits and Behaviors (individual level); Burdens and Benefits of Social Relationships (relational Level); Building Quality and Health (environmental level); Role of Housing Assistance (structural level); and Influence of Poverty and Structural and Systemic Racism (superstructural level).

CONCLUSION/IMPLICATIONS

Results clarify housing's role as a social determinant of health affecting older adults with low income and may help nurses tailor patient assessments and treatment plans to better identify and address housing-related health risks. [Journal of Gerontological Nursing, 50(3), 25-32.].

An Exploration of Rural Housing Insecurity as a Public Health Problem in California's Rural Northern Counties

Although widely acknowledged as an important social determinant of health, until recently researchers and policymakers have primarily approached housing insecurity as an urban issue, obscuring the visibility of its impacts in rural contexts, including the ways in which housing insecurity intersects with other health and structural inequities facing rural populations. Working to address this gap in the existing literature, this paper explores the experiences of housing insecurity in a rural context by reporting on an analysis of 210 in-depth interviews with 153 adults between the ages of 18-35, living in California's rural North State, a relatively overlooked far northern region of the state comprised of 12 north central and north eastern counties. Using in-depth qualitative interview data, we conducted an exploratory pattern-level analysis of participants' narratives structured by four dimensions of housing insecurity defined in the literature (housing affordability, housing stability, housing conditions, and neighborhood context). Drawing attention to the pervasiveness of rural housing insecurity within our sample, this analysis highlights the unique ways in which rurality creates distinct experiences not currently captured in the existing literature. Further research is needed across different types of rural communities to better understand the various ways that housing insecurity affects the everyday lives and health of rural residents. By grounding research within the experiences of rural residents, we are better able to respond to the crisis of rural housing insecurity and develop solutions that are tailored to rural residents' unique needs.

Associations between a Novel Measure of Census Tract-Level Credit Insecurity and Frequent Mental Distress in US Urban Areas, 2020

Access to and utilization of consumer credit remains an understudied social determinant of health. We examined associations between a novel, small-area, multidimensional credit insecurity index (CII), and the prevalence of self-reported frequent mental distress across US cities in 2020. The census tract-level CII was developed by the Federal Reserve Bank of New York using Census population information and a nationally representative sample of anonymized Equifax credit report data. The CII was calculated for tracts in 766 cities displayed on the City Health Dashboard at the time of analysis, predominantly representing cities with over 50,000 residents. The CII combined data on tract-level participation in the formal credit economy with information on the percent of individuals without revolving credit, percent with high credit utilization, and percent with deep subprime credit scores. Tracts were classified as credit-assured, credit-likely, mid-tier, at-risk, or credit-insecure. We used linear regression to examine associations between the CII and a modeled tract-level measure of frequent mental distress, obtained from the CDC PLACES project. Regression models were adjusted for neighborhood economic and demographic characteristics. We examined effect modification by US region by including two-way interaction terms in regression models. In adjusted models, credit-insecure tracts had a modestly higher prevalence of frequent mental distress (prevalence difference = 0.38 percentage points; 95% CI = 0.32, 0.44), compared to credit-assured tracts. Associations were most pronounced in the Midwest. Local factors impacting credit access and utilization are often modifiable. The CII, a novel indicator of community financial well-being, may be an independent predictor of neighborhood health in US cities and could illuminate policy targets to improve access to desirable credit products and downstream health outcomes.

Moving upstream: healthcare partnerships addressing social determinants of health through community wealth building

BACKGROUND

Healthcare-based interventions addressing social needs such as food and housing generally fail to impact the upstream wealth and power inequities underlying those needs. However, a small number of US healthcare organizations have begun addressing these upstream inequities by partnering with community wealth building initiatives. These initiatives include community land trusts, resident-owned communities, and worker cooperatives, which provide local residents ownership and control over their housing and workplaces. While these partnerships represent a novel, upstream approach to the social determinants of health, no research has yet evaluated them.

METHODS

To assess the current state and key aspects of healthcare-community wealth building partnerships, we conducted a multiple case study analysis using semi-structured interviews with thirty-eight key informants across ten partnerships identified through the Healthcare Anchor Network. To analyze the interviews, we used a two-stage coding process. First, we coded responses based on the phase of the intervention to which they corresponded: motivation, initiation, implementation, or evaluation. Then we assessed responses within each aspect for common themes and variation on salient topics.

RESULTS

Partnerships were generally motivated by a combination of community needs, such as affordable housing and living wage jobs, and health system interests, such as workforce housing and supply chain resilience. Initiating projects required identifying external partners, educating leadership, and utilizing risk mitigation strategies to obtain health system buy-in. Implementation took various forms, with healthcare organizations providing financial capital in the form of grants and loans, social capital in the form of convening funders and other stakeholders, and/or capacity building support in the form of strategic planning or technical assistance resources. To evaluate projects, healthcare organizations used more process and community-level metrics rather than metrics based on individual health outcomes or returns on investment. Based on best practices from each partnership phase, we provide a roadmap for healthcare organizations to develop effective community wealth building partnerships.

CONCLUSIONS

Assessing healthcare partnerships with community wealth building organizations yields key strategies healthcare organizations can use to develop more effective partnerships to address the upstream causes of poor health.

In the wake of a crisis: Caught between housing and healthcare

Objective

To measure the association between housing insecurity and foregone medication due to cost among Medicare beneficiaries aged 65+ during the Recession.

Methods

Data came from Medicare beneficiaries aged 65+ years from the 2006-2012 waves of the Health and Retirement Study (HRS). Two-wave housing insecurity changes are evaluated as follows: (i) No insecurity, (ii) Persistent insecurity, (iii) Onset insecurity, and (iv) Onset security. We implemented a series of four weighted longitudinal General Estimating Equation (GEE) models, two minimally adjusted and two fully adjusted models, to estimate the probability of foregone medications due to cost between 2008 and 2012.

Results

Our study sample was restricted to non-proxy interviews of non-institutionalized Medicare beneficiaries aged 65+ in the 2006 wave (n = 9936) and their follow up visits (n = 8753; in 2008; n = 7464 in 2010; and n = 6594 in 2012). Results from our fully adjusted model indicated that the odds of foregone medication was 64% higher among individuals experiencing Onset insecurity versus No insecurity in 2008, and also generally larger for individuals experiencing Onset Insecurity versus Persistent Insecurity. Odds of foregone medication was also larger among females, minority versus non-Hispanic white adults, those reporting a chronic condition, those with higher medical expenditures, and those living in the South versus Northeast.

Conclusion

This study drew from nationally representative data to elucidate the disparate health and financial impacts of a crisis on Medicare beneficiaries who, despite health insurance coverage, displayed variability in foregone medication patterns. Our findings suggest that the onset of housing insecurity is most closely linked with unexpected acute economic shocks leading households with little time to adapt and forcing trade-offs in their prescription and other needs purchases. Both housing and healthcare policy implications exist from these findings including expansion of low-income housing units and rent relief post-recession as well as wider prescription drug coverage for Medicare adults.

"The trauma machine expands faster than our services": Health risks for unhoused people in an early-stage gentrifying area

While homelessness continues to be a prevalent problem throughout the United States, many urban neighborhoods are also concurrently experiencing an influx of affluent neighbors through gentrification, exposing the stark inequalities in housing access nationwide. Gentrification-induced changes in neighborhood dynamics have also been shown to affect the health of low-income and non-white groups, with high risks of trauma from displacement and exposure to violent crime and criminalization. This study addresses risk factors for health among the most vulnerable, unhoused individuals, and provides a detailed case study on the potential exposures to emotional and physical traumas for unhoused people in early-stage gentrifying areas. By conducting 17 semi-structured interviews with people who work with the unhoused community - health providers, nonprofit employees, neighborhood representatives, and developers - in Kensington, Philadelphia, we analyze how early-stage gentrification impacts the risks for negative health consequences among unhoused groups. Results show that gentrification impacts the health of unhoused people in four main areas that, all together, create what we identify as a "trauma machine" - that is compounding traumas for unhoused residents by 1) reducing and compromising spaces of safety from violent crime, 2) decreasing public services, 3) threatening the quality of healthcare, and 4) increasing the likelihood of displacement and associated trauma.

Evictions and psychiatric treatment

Stable housing is critical for health, employment, education, and other social outcomes. Evictions reflect a form of housing instability that is experienced by millions of Americans each year. Inadequately treated psychiatric disorders have the potential to influence evictions in several ways. For example, these disorders may impede labor market performance and thus the ability to pay rent, or increase the likelihood of risky and/or nuisance behaviors that can lead to a lease violation. We estimate the effect of local access to psychiatric treatment on eviction rates. We combine data on the number of psychiatric treatment centers that offer outpatient and residential care within a county with eviction rates in a two-way fixed-effects framework. Our findings imply that 10 additional psychiatric treatment centers in a county lead to a reduction of 2.1% in the eviction rate.

Psychological impact of COVID-19 pandemic and lockdown among the population involved in tourism sector in Lakeside of Pokhara: A qualitative study

Background and Aims

The COVID-19 pandemic has exerted a substantial influence on every sector of people's lives worldwide, including Nepal. The tourism industry is not exceptional. Lakeside Pokhara is one of the country's major tourist hubs and relies both on national and international visitors. The people residing in this area who depend on tourism-related businesses to regulate their daily living faced numerous stressors and psychological impacts due to the pandemic. This study aimed to explore the COVID-19 pandemic-related stressors and their psychological impact among people dependent on the tourism business in the Lakeside of Pokhara, located in the Gandaki Province of Nepal.

Method

Via the qualitative approach, semi-structured in-depth interviews were conducted to collect the data from 20 individuals related to tourism business stakeholders in Lakeside of Pokhara. Thematic analysis was performed to analyze the data.

Results

The study found business-related stressors among the people dependent on the tourism businesses, and these stressors were found to increase the experiences of psychological issues, including suicidal ideation. The pandemic has not only affected their economy but has also had an impact on their personal, familial, and social life. However, to combat the problems most of the study participants were found to be utilizing positive coping mechanisms, whereas some respondents were observed to consume more alcohol as a negative coping strategy.

Conclusions

People indulging in the tourism sectors were at greater risk of vulnerability in the future pandemic. Tourism business stakeholders struggled to combat the numerous stressors and psychological impacts carried out by the COVID-19 pandemic and lockdown. Therefore, there is a growing need for government bodies to implement favorable business-related policies, and Mental Health and Psychosocial Support (MHPSS) related programs to these stakeholders.

Depressive-Like Effects of Foreclosing: A Cross-Sectional Study of Hair Cortisol Concentration

INTRODUCTION

Foreclosing and home eviction have been associated with various negative health outcomes, probably due to exposure to such stressful circumstance, but there is no evidence about foreclosure and home eviction to elicit cortisol responses.

METHODS

Participants who recently had received a court eviction notice were compared to subjects suffering a depressive disorder and to healthy controls in terms of hair cortisol concentrations.

RESULTS

Subjects under the stressful circumstance of foreclosure and patients with depression showed comparable concentrations in most of the hair segments while healthy subjects displayed the lowest levels of cortisol.

CONCLUSION

The findings show that foreclosure and home eviction are associated with increased cumulative hair cortisol and with depressive-like symptoms. Foreclosing procedures yielded to maintain high levels of cortisol which may increase the risk to develop major depression.

Association Between State-Level Medicaid Expansion and Eviction Rates

IMPORTANCE

Prior research has identified associations between housing insecurity and poor health outcomes.

OBJECTIVE

To evaluate the association between US state Medicaid expansions and reductions in eviction; to examine the persistence of these associations and how they vary across US states and counties.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study of 25 398 county-year observations (across 40 states) used US eviction and census data for the years 2002 through 2018 (ie, 17 years). County-level associations were estimated using interactive fixed effects counterfactual estimators, and models were selected using cross validation. Across-county treatment association heterogeneities were assessed using multivariable regression methods. Analyses were performed in July of 2022.

EXPOSURE

State-level Medicaid expansion under the Patient Protection and Affordable Care Act.

MAIN OUTCOMES AND MEASURES

Eviction judgments; eviction judgments per 100 renter-occupied households.

RESULTS

Among a total of 774 treated counties (with Medicaid expansion) and 720 control counties (untreated, without Medicaid expansion), mean (SD) eviction judgments for treated counties were 534.78 (1945.84) eviction judgments in the pre-2014 period (mean [SD] eviction rate, 2.25 [2.18] per 100 households), which decreased to 463.67 (1499.39) eviction judgments in the post-2014 period (mean [SD] eviction judgment rate, 2.02 [1.81] per 100 households). Control group mean (SD) county eviction judgments were 477.22 (1592.18) eviction judgments (mean [SD] eviction judgment rate, 1.91 per 100 households) pre-2014, and 490.22 (1575.19) eviction judgments (mean [SD] eviction judgment rate, 1.89 per 100 households) post-2014. Model estimates indicate that Medicaid expansion was associated with reductions in county eviction judgments by -66.49 (95% CI, -132.50 to -0.48; P = .047) and reductions of the eviction judgment rate by -0.25 (95% CI, -0.35 to -0.14; P < .001). Associations remained broadly consistent between 2014 and 2018, although some diminishment of associations occurred in 2018. Approximately 29% of the across-county treatment association variation was explained by across-state differences, while 9% was explained by county-level demographic and uninsurance differences.

CONCLUSIONS AND RELEVANCE

In this cohort study, Medicaid expansion was associated with reductions in eviction judgments and eviction judgment rates; however, these associations were found to vary considerably both across as well as within states (across counties). These findings suggest that the channel between Medicaid expansion and evictions is sensitive to state environments as well as county specific population demographics and uninsurance levels.

"Like pouring salt in a wound": A qualitative exploration of the consequences of unmet housing needs for cancer patients and survivors in New York City

OBJECTIVE

To identify consequences of unmet housing needs in the period following cancer diagnosis.

DESIGN

Qualitative descriptive design.

PARTICIPANTS

New York City-based cancer patients and survivors (n = 21) who reported experience of unmet housing needs while receiving cancer treatment. Key informants (n = 9) with relevant expertise (e.g. oncology social workers).

METHODS

One-time semi-structured telephone or in-person interviews were conducted with all participants. Inductive thematic coding was conducted using a pragmatic paradigm.

FINDINGS

Four categories of consequences emerged: 1) cancer management and health (rest and recovery, illness/injury risk, medical care); 2) psychological (stress and anxiety, lack of control and independence, self-esteem/pride, sadness/depression, cancer coping); 3) social (relationships, consequences for others, isolation); and 4) standard of functional living.

CONCLUSION

The simultaneous experience of cancer and unmet housing needs is broadly burdensome.

IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS

Screening and resources for addressing unmet housing needs must be prioritized to holistically care for patients.

Violence in the Great Recession

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

Job loss, financial strain, and housing problems as suicide precipitants: Associations with other life stressors

Previous research has shown that job loss, financial strain, and/or loss of housing (JFH) in midlife elevate suicide risk. In this study based on the 2017–2019 National Violent Death Reporting System, we examined other suicide precipitants and contributors of decedents whose suicide was in part precipitated by JFH and the circumstances under which they died. First, we examined all adult decedents (N = 94,454; 74,042 males [78.4%] and 20,412 females [21.6%]) and then focused on decedents age 45–64 (N = 34,208; 25,640 males [75%] and 8568 females [25.0%]). The 45–64 age group had the highest rate of JFH (22.0% for males and 15.1% for females) as a suicide precipitant. The results of generalized linear models for all adult suicide decedents of both sexes showed that the 45–64 age group (IRR = 2.02, 95% CI = 1.89–2.16), compared to 65+ age group, and relationship problems, mental disorders, and alcohol problems were associated with significantly higher risk of JFH-precipitated suicide. In male decedents age 45–64, JFH was positively associated with depressed mood (IRR = 1.95, 95% CI = 1.85–2.06), alcohol problems (IRR = 1.14, 95% CI = 1.07–1.21), and number of crises (IRR = 1.48, 95% CI = 1.43–1.53). In female decedents age 45–64, JFH was positively associated with relationship problems (IRR = 1.19, 95% CI = 1.05–1.35), legal problems (IRR = 1.27, 95% CI = 1.06–1.54), depressed mood (IRR = 1.78, 95% CI = 1.59–1.99), and number of crises (IRR = 1.58, 95% CI = 1.48–1.68). In both sexes, the risk of JFH was also positively associated with a college education. In female decedents, JFH risk was higher among divorced or never-married individuals. Coroner/medical examiner and law enforcement agency reports show that some experienced depression and started misusing alcohol and/or other substances following a job loss, but others had these problems throughout life, which caused/contributed to JFH. These findings show the significance of suicide prevention approaches at both systemic (generous unemployment insurance, housing subsidies) and individual (treatment of depression and alcohol/substance misuse problems and social support/connection) levels.

•

16.2% of male and 13.0% of female suicide decedents age 18+ in 2017–2019 had job/finance/housing problems (JFH).

•

Among decedents age 45–64, 22.0% of male and 15.1% of female had JFH.

•

JFH was positively associated with number of crises, depressed mood, and relationship and alcohol problems in both sexes.

•

Suicide prevention approaches are needed at both systemic and individual levels.

Gender-based inequalities in the effects of housing on health: A critical review

Gender and its power relations are produced and reproduced in the housing sphere, leading to inequalities in living conditions and, therefore, in gender inequalities in health outcomes. The aim of the study is to review the published literature on gender, housing and health, to critically evaluate the incorporation of the gender perspective, and to incorporate this perspective into the conceptual framework of housing and health. Using the critical review method, we conducted a literature review in MEDLINE, Scopus, WOS and Redalyc, without restriction of publication date, including studies published up to October 2020. We analyzed the gender perspective in health research using the Gender Perspective in Health Research Questionnaire and described the results according to main housing dimensions. Of the 20,988 articles identified, we selected 90 for full-text analysis, of which 18 were included in the feminist research category, 27 in gender-sensitive, 31 in sex difference and 14 did not include any gender perspective. Regarding the association between housing and health, most studies analyzed affordability (36%) and physical conditions (32%), and trends in health outcomes by gender varied according to each exposure analyzed, although overall the effects were worse for women and non-binary or trans people. To date, very few studies consider the gender perspective. It is urgent to address gender relations in housing and health studies, and to open an interdisciplinary and intersectoral agenda to address this complex relationship.

Wealth and depression: A scoping review

INTRODUCTION

The inverse relation between income and depression is well established. Less is understood about the relation between wealth and depression. We therefore conducted a scoping review to answer the question: What is known from the existing literature about the relation between wealth and depression?

METHODS

We searched for studies and articles in Medline (via PubMed), Embase, PsycINFO, PsycArticles, EconLit, and SocINDEX from inception through July 19, 2020. Ninety-six articles were included in our review. Key article characteristics were year of publication, sample size, country, study design, definition of depression, definition of wealth, and association between wealth and depression. Thirty-two longitudinal articles were included in a detailed charted review.

RESULTS

Depression was defined in a relatively standard manner across articles. In contrast, definitions and measurements of wealth varied greatly. The majority of studies in the full review (n = 56, 58%) and half of the studies in the longitudinal charted review (n = 16, 50%) reported an inverse relation between wealth and depression. The longitudinal charted review showed that (1) macro-economic events influenced depression, (2) wealth status influenced depression across the lifecourse, (3) wealth protected against depression in the face of stressors such as job loss, (4) subjective or psychosocial factors such as perception of wealth, relative comparison, and social status modified the relation between wealth and depression, and (5) savings interventions were successful in reducing depression and varied by context.

CONCLUSION

These findings suggest that wealth should be included in our consideration of the forces that shape mental health.

A multi-scalar perspective on health and urban housing: an umbrella review

With more than half the world's population living in cities, understanding how the built environment impacts human health at different urban scales is crucial. To be able to shape cities for health, an understanding is needed of planetary health impacts, which encompass the human health impacts of human-caused disruptions on the Earth's natural ecosystems. This umbrella review maps health evidence across the spatial scales of the built environment (building; neighbourhood; and wider system, including city, regional and planetary levels), with a specific focus on urban housing. Systematic reviews published in English between January 2011 and December 2020 were searched across 20 databases, with 1176 articles identified and 124 articles screened for inclusion. Findings suggests that most evidence reports on health determinants at the neighbourhood level, such as greenspace, physical and socio-economic conditions, transport infrastructure and access to local services. Physical health outcomes are also primarily reported, with an emerging interest in mental health outcomes. There is little evidence on planetary health outcomes and significant gaps in the research literature are identified. Based on these findings, three potential directions are identified for future research.

Health Effects of Housing Insecurity and Unaffordability in the General Population in Barcelona, Spain

While the negative effects of housing insecurity and unaffordability on health are well known, most of the studies in Spain have focused on very specific social groups so their findings cannot be extrapolated to the general population. The aim of this study is to assess the effects of housing stress and risk of displacement due to economic reasons, and their combined effect, on the mental and physical health of the general population from a middle-income neighborhood of Barcelona. We conducted a cross-sectional study using a household health survey which included respondents from a representative sample of 1202 non-institutionalized residents (> 18 years old) of the Horta neighborhood. We carried out a descriptive analysis, estimated the prevalence of poor mental and self-rated health (stratifying by the independent variables) and fitted robust Poisson regression models to estimate the effects of housing stress (HS) and the risk of forced displacement (RD) on self-rated health and mental health (GHQ-12). All analyses were stratified by sex. We found a higher likelihood of poor general and mental health among people affected by HS and/or RD compared to those not affected by HS and/or RD. A graded effect of HS and RD emerged mainly on mental health, even after adjusting by socioeconomic variables and housing tenure. The serious problem of housing insecurity and unaffordability in Spain is a widespread public health issue. Evidence-based public policies to improve well-being and health of people under this threat are urgently needed.

Effectiveness of community interventions for protecting and promoting the mental health of working-age adults experiencing financial uncertainty: a systematic review

BACKGROUND

The COVID-19 pandemic has created a period of global economic uncertainty. Financial strain, personal debt, recent job loss and housing insecurity are important risk factors for the mental health of working-age adults. Community interventions have the potential to attenuate the mental health impact of these stressors. We examined the effectiveness of community interventions for protecting and promoting the mental health of working-age adults in high-income countries during periods of financial insecurity.

METHODS

Eight electronic databases were systematically screened for experimental and observational studies published since 2000 measuring the effectiveness of community interventions on mental health outcomes. We included any non-clinical intervention that aimed to address the financial, employment, food or housing insecurity of participants. A review protocol was registered on the PROSPERO database (CRD42019156364) and results are reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

RESULTS

From 2326 studies screened, 15 met our inclusion criteria. Five categories of community intervention were identified: advice services colocated in healthcare settings; link worker social prescribing; telephone debt advice; food insecurity interventions; and active labour market programmes. In general, the evidence for effective and cost-effective community interventions delivered to individuals experiencing financial insecurity was lacking. From the small number of studies without a high risk of bias, there was some evidence that financial insecurity and associated mental health problems were amenable to change and differences by subpopulations were observed.

CONCLUSION

There is a need for well-controlled studies and trials to better understand effective ingredients and to identify those interventions warranting wider implementation.

Savings, home ownership, and depression in low-income US adults

PURPOSE

While the association between income and depression is well established, less explored is the relation between wealth and depression, particularly among low-income adults. We studied the relation between two types of assets-savings and home ownership-and probable depression to understand how access to different assets may shape depression among low-income US adults.

METHODS

Study sample We conducted a serial cross-sectional, observational study with 12,019 adults with low-income in the United States using National Health and Nutrition Examination Survey (NHANES) data from 2007 to 2016. Measures We measured probable major depressive disorder (MDD) with impairment using the Patient Health Questionnaire-9. Low savings was defined as having $5000 or less in family savings. Statistical analysis We estimated adjusted and unadjusted prevalence, odds ratios, and predicted probability of probable MDD across asset groups.

RESULTS

Of low-income US adults, 5.4% had probable MDD with impairment, 85.9% had low savings, and 54.9% rented their home. Persons with low savings had 2.34 (95% CI 1.44-3.79) times the odds of having probable MDD relative to those with high savings. Home owners had 2.14 (95% CI 1.20-3.86) and home renters had 3.65 (95% CI 1.45-9.20) times the odds of having probable MDD if they had low savings relative to high savings.

CONCLUSION

Family savings and home ownership are associated with lower burden of depression among low-income adults in the US.

The Great Recession, behavioral health, and self-rated health: An examination of racial/ethnic differences in the US

The Great Recession has been associated with racial/ethnic disparities in economic loss, alcohol-related problems and mental health in the US. In this study, we examine its effect on overall health, the role of heavy drinking and mental health, and whether these relationships vary by race/ethnicity. Using US National Alcohol Survey data collected from White, African American and Latino individuals between June 2009 and March 2010 (N = 4656), we conducted gender-stratified simultaneous path modeling to test racial/ethnic differences in hypothesized paths from recession-related hardships to overall self-rated health through current depressive symptoms and heavy drinking. Recession impacts were measured using an index of job-related, financial and housing hardships. Models accounted for demographic characteristics and heavy drinking, health conditions and alcohol-related health harms occurring prior to the Great Recession. We found that in men and women of each racial/ethnic group, more accumulated recession hardships were associated with greater depressive symptoms and more frequent heavy drinking, and depressive symptoms were associated with poorer self-rated health. Further, heavy drinking was related to poorer self-rated health in Black men and depressive symptoms in Latino men, and for Black and Latina women, prior heavy drinking was associated with current depressive symptoms. Findings highlight adverse, behavioral and overall health consequences of a severe recession for men and women of diverse racial/ethnic groups, as well as unique risks for Black and Latino men and women. Findings suggest the need for behavioral health interventions alongside multisector strategies to bolster the labor market and social safety net during severe economic downturns.

The Foreclosure Crisis, Community Change, and the Cognitive Health of Older Adults

OBJECTIVES

While home foreclosures are often thought of as a household-level event, the consequences may be far-reaching, and spill over to the broader community. Older adults, in particular, could be affected by the spiral of community changes that result from foreclosures, but we know very little about how the foreclosure crisis is related to older adult health, in particular cognition.

METHOD

This article uses growth curve models and data from the Health and Retirement Study matched to Census and county-level foreclosure data to examine whether community foreclosures are related to older adults' cognitive health and the mechanisms responsible.

RESULTS

We find that higher rates of county-level foreclosures are associated with a faster decline in individual cognition at older ages. Although we examined an extensive number of individual and community mechanisms, including individual housing wealth and depressive symptoms, community structural factors, social factors, and perceptions of physical disorder and cohesion, none of the mechanisms examined here explained this relationship.

DISCUSSION

This study shows that the adverse consequences of home foreclosures spill over to the local community, with implications for the cognitive health of older adults.

Forced evictions and their social and health impacts in Southern Somalia: a qualitative study in Mogadishu Internally Displaced Persons (IDP) camps

BACKGROUND

Forced evictions are common in conflict-affected settings. More than 500 internally displaced persons (IDPs) are evicted daily in Mogadishu. Context specific research is necessary to inform responsive humanitarian interventions and to monitor the effectiveness of these interventions on IDPs health.

OBJECTIVE

This study explored the causes of forced evictions and their health impacts among IDPs in southern Somalia.

METHODS

We used a qualitative approach, conducting 20 semi-structured interviews, six key informant interviews and four focus group discussions. We used maximum variation sampling to include a wide range of participants and used the framework approach and Nvivo software to analyse the data.

RESULTS

In this context, landlords often rented land without proper tenure agreements, resulting in risk of forced evictions. Informal tenure agreements led to fluctuations in rent, and IDPs were evicted because tenancy laws were inadequate and failed to protect IDP rights. IDP settlements often increased the value of land by clearing scrub, and landlords often sought to profit from this by evicting IDPs at short notice if a buyer was found for the land. The effect of eviction on an already marginalised population was wide ranging, increasing their exposure to violence, loss of assets, sexual assault, disruption of livelihoods, loss of social networks and family separation. Evicted IDPs reported health issues such as diarrhoea, malaria, pneumonia, measles and skin infections, as well as stress, anxiety, psychological distress and trauma.

CONCLUSION

Forced evictions remain one of the biggest challenges for IDPs as they exacerbate existing vulnerabilities. Prioritizing implementation of legal protection for IDP tenure rights is necessary to prevent unlawful evictions of IDPs. Humanitarian agencies should aim to respond more effectively to protect evictees and provide support to prevent poor health outcomes. Further quantitative research is needed to further examine the relationship between forced evictions and health outcomes.

Eviction as a Disruptive Factor in Health Care Utilization: Impact on Hospital Readmissions and No-show Rates

BACKGROUND

Residential eviction is a component of housing instability that negatively affects physical and mental health, but the effect of eviction on health care utilization, specifically hospital readmissions and outpatient no-show rates, is not known.

METHODS

We conducted a retrospective review of health care utilization of individuals evicted from public housing between January 2013 and December 2017, investigating hospital readmissions and no-show rates one year before and after eviction.

RESULTS

131 individuals who had been evicted had one year of data pre-and post-eviction. The majority were African American (97.7%) and female (80.9%). There was no significant change in 30-, 60-, and 90-day hospital readmissions (p>.05). No-show rate decreased from 27.57 per person per year to 20.13 (p=.05).

CONCLUSIONS

For our study population, health care utilization was not disrupted. The decreased no-show rate represents an opportunity for health systems to engage with patients on social factors affecting their health post-eviction.

Do assets explain the relation between race/ethnicity and probable depression in U.S. adults?

Depression is a leading cause of disability in the U.S. across all race/ethnicity groups. While non-Hispanic Black and Hispanic persons have worse physical health on most indicators than non-Hispanic White persons, the literature on the association between race/ethnicity and rates of depression is mixed. Given unequal distribution of assets across racial/ethnic groups, it is possible that social and economic differences may explain differential rates of depression across race/ethnicity groups. Using National Health and Nutrition Examination Survey (NHANES) data from 2007–2016, we constructed a nationally representative sample of 26,382 adults over 18 years old (11,072 non-Hispanic White, 5,610 non-Hispanic Black, 6,981 Hispanic, and 2,719 Other race). We measured symptoms of depression using the Patient Health Questionnaire-9 (PHQ-9), with a score of 10 or more indicating probable depression. We identified three kinds of assets: financial assets (income), physical assets (home ownership), and social assets (marital status and education). We estimated the weighted prevalence of probable depression across race/ethnicity groups, odds ratios controlling for assets, and predicted probabilities of probable depression across race/ethnicity and asset groups. Three results contribute to our understanding of the differences in probable depression rates between race/ethnicity groups: 1) Non-Hispanic Black and Hispanic persons had a higher weighted prevalence of probable depression in the U.S. than non-Hispanic White persons. In models unadjusted for assets, non-Hispanic Black and Hispanic persons had 1.3 greater odds of probable depression than non-Hispanic White persons (p<0.01). 2) We found an inverse relation between assets and probable depression across all race-ethnicity groups. Also, non-Hispanic Black and Hispanic persons had fewer assets than non-Hispanic Whites. 3) When we controlled for assets, non-Hispanic Black and Hispanic persons had 0.8 times lower odds of probable depression than non-Hispanic White persons (p<0.05). Thus, when holding assets constant, minorities had better mental health than non-Hispanic White persons in the U.S. These three findings help to reconcile findings in the literature on race/ethnicity and depression. Given vastly unequal distribution of wealth in the U.S., it is not surprising that racial minorities, who hold fewer assets, would have an overall larger prevalence of mental illness, as seen in unadjusted estimates. Once assets are taken into account, Black and Hispanic persons appear to have better mental health than non-Hispanic White persons. Assets may explain much of the relation between race/ethnicity group and depression in the U.S. Future research should consider the role of assets in protecting against mental illness.

Economic influences on population health in the United States: Toward policymaking driven by data and evidence

Atheendar S. Venkataramani and colleagues discuss economic factors and population health in the United States.

Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic

IMPORTANCE

The coronavirus disease 2019 (COVID-19) pandemic and the policies to contain it have been a near ubiquitous exposure in the US with unknown effects on depression symptoms.

OBJECTIVE

To estimate the prevalence of and risk factors associated with depression symptoms among US adults during vs before the COVID-19 pandemic.

DESIGN, SETTING, AND PARTICIPANTS

This nationally representative survey study used 2 population-based surveys of US adults aged 18 or older. During COVID-19, estimates were derived from the COVID-19 and Life Stressors Impact on Mental Health and Well-being study, conducted from March 31, 2020, to April 13, 2020. Before COVID-19 estimates were derived from the National Health and Nutrition Examination Survey, conducted from 2017 to 2018. Data were analyzed from April 15 to 20, 2020.

EXPOSURES

The COVID-19 pandemic and outcomes associated with the measures to mitigate it.

MAIN OUTCOMES AND MEASURES

Depression symptoms, defined using the Patient Health Questionnaire-9 cutoff of 10 or higher. Categories of depression symptoms were defined as none (score, 0-4), mild (score, 5-9), moderate (score, 10-14), moderately severe (score, 15-19), and severe (score, ≥20).

RESULTS

A total of 1470 participants completed the COVID-19 and Life Stressors Impact on Mental Health and Well-being survey (completion rate, 64.3%), and after removing those with missing data, the final during-COVID-19 sample included 1441 participants (619 participants [43.0%] aged 18-39 years; 723 [50.2%] men; 933 [64.7%] non-Hispanic White). The pre-COVID-19 sample included 5065 participants (1704 participants [37.8%] aged 18-39 years; 2588 [51.4%] women; 1790 [62.9%] non-Hispanic White). Depression symptom prevalence was higher in every category during COVID-19 compared with before (mild: 24.6% [95% CI, 21.8%-27.7%] vs 16.2% [95% CI, 15.1%-17.4%]; moderate: 14.8% [95% CI, 12.6%-17.4%] vs 5.7% [95% CI, 4.8%-6.9%]; moderately severe: 7.9% [95% CI, 6.3%-9.8%] vs 2.1% [95% CI, 1.6%-2.8%]; severe: 5.1% [95% CI, 3.8%-6.9%] vs 0.7% [95% CI, 0.5%-0.9%]). Higher risk of depression symptoms during COVID-19 was associated with having lower income (odds ratio, 2.37 [95% CI, 1.26-4.43]), having less than $5000 in savings (odds ratio, 1.52 [95% CI, 1.02-2.26]), and exposure to more stressors (odds ratio, 3.05 [95% CI, 1.95-4.77]).

CONCLUSIONS AND RELEVANCE

These findings suggest that prevalence of depression symptoms in the US was more than 3-fold higher during COVID-19 compared with before the COVID-19 pandemic. Individuals with lower social resources, lower economic resources, and greater exposure to stressors (eg, job loss) reported a greater burden of depression symptoms. Post-COVID-19 plans should account for the probable increase in mental illness to come, particularly among at-risk populations.

Evaluation of a shared decision-making intervention for pediatric patients with asthma in the emergency department

BACKGROUND

Asthma is a difficult-to-manage chronic disease marked with associated outcome disparities including an increase rate of emergency department (ED) visits for uncontrolled asthma among patients who are most at-risk. Shared decision making (SDM) is a process by which the patient and provider jointly make a healthcare choice. SDM improves patient outcomes; however, implementation barriers of time constraints and staff availability are limitations. The use of health IT solutions may increase the adoption of SDM, but best practices for implementation are not well understood. The Consolidated Framework for Implementation Research (CFIR) is a flexible comprehensive model used to identify barriers and facilitators influencing implementation. The goal of this study is to implement an innovative web-based pediatric SDM tool in the real-world setting of two large healthcare system EDs through the following aims: (1) convene a patient, research, and ED stakeholder advisory board to oversee review of protocol and study materials prior to implementation, (2) implement the SDM intervention where providers and staff will be trained to incorporate use of this SDM intervention, (3) conduct on-going evaluation of barriers, facilitators, and implementation outcomes to tailor implementation in the EDs, (4) evaluate patient-centered outcomes of primary care utilization and changes in ED visits and hospitalizations before and after the SDM intervention, and (5) understand and document best practices for ED implementation.

METHODS

The CFIR model will guide the implementation evaluation. Researchers will administer surveys to the clinical team and patients at baseline, 3, 6, and 12 months to inform implementation design, determine barriers and facilitators, and resource-needs to allow for real-time process adjustments within the EDs. Focus group or key-informant interviews and analysis will provide additional feedback to the stakeholder team to iterate the implementation process. Researchers will track patient-centered outcomes including increased primary care, ED, and inpatient utilization over the duration of the study.

DISCUSSION

To advance asthma care and the field of implementation science, further research is needed to assess best practices for incorporating SDM into high-need healthcare settings such as the ED. This knowledge will facilitate improved outcomes and appropriate policy changes towards further use of SDM interventions in local and national acute care settings.

Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas

OBJECTIVES

As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas.

STUDY DESIGN

This is a cross-sectional study.

METHODS

The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05.

RESULTS

The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence.

CONCLUSION

Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.

[Financial fraud and health: a qualitative approach]

During the economic crisis, developed countries have experienced financial fraud, with effects on the physical and mental health of the people affected, and on social domains. Based on the theoretical framework in literature reviews and in quantitative studies, this paper aims to obtain evidence on the effects of financial fraud on health and on the family and social environments of those affected. An intentional sample of 32 people affected by abusive and multi-currency mortgages, preferred and swap stock in Madrid was approached. In-depth interviews were conducted, and the resulting data was analysed using content analysis. Fraud-affected individuals had conditions of age, sex, educational level and occupations that possibly allowed them to accumulate economic resources throughout the course of their lives and, predictably in many cases, to take out fraudulent financial products, based on trust in the financial institutions. Financial fraud has led to the emergence of various processes of anomia and adverse health effects. The consequences on health were physical ailments (symptoms and diseases in various systems and parts of the body) and mental disorders (anxiety, depression, suicidal ideation), all affecting lifestyles, behaviour and personal and social relationships, both in affected individuals and their families. The increase in the use of medical drugs and health services serves as a final corollary to the imbalances on the affected people's health. Individuals and the Spanish society demand public health policy measures to mitigate the effects on health and the recovery of their confidence in the banking and political system.

Population-Based Approaches to Mental Health: History, Strategies, and Evidence

There is growing recognition in the fields of public health and mental health services research that the provision of clinical services to individuals is not a viable approach to meeting the mental health needs of a population. Despite enthusiasm for the notion of population-based approaches to mental health, concrete guidance about what such approaches entail is lacking, and evidence of their effectiveness has not been integrated. Drawing from research and scholarship across multiple disciplines, this review provides a concrete definition of population-based approaches to mental health, situates these approaches within their historical context in the United States, and summarizes the nature of these approaches and their evidence. These approaches span three domains: (a) social, economic, and environmental policy interventions that can be implemented by legislators and public agency directors, (b) public health practice interventions that can be implemented by public health department officials, and (c) health care system interventions that can be implemented by hospital and health care system leaders.

Going upstream - an umbrella review of the macroeconomic determinants of health and health inequalities

BACKGROUND

The social determinants of health have been widely recognised yet there remains a lack of clarity regarding what constitute the macro-economic determinants of health and what can be done to address them. An umbrella review of systematic reviews was conducted to identify the evidence for the health and health inequalities impact of population level macroeconomic factors, strategies, policies and interventions.

METHODS

Nine databases were searched for systematic reviews meeting the Database of Abstracts of Reviews of Effects (DARE) criteria using a novel conceptual framework. Studies were assessed for quality using a standardised instrument and a narrative overview of the findings is presented.

RESULTS

The review found a large (n = 62) but low quality systematic review-level evidence base. The results indicated that action to promote employment and improve working conditions can help improve health and reduce gender-based health inequalities. Evidence suggests that market regulation of tobacco, alcohol and food is likely to be effective at improving health and reducing inequalities in health including strong taxation, or restriction of advertising and availability. Privatisation of utilities and alcohol sectors, income inequality, and economic crises are likely to increase health inequalities. Left of centre governments and welfare state generosity may have a positive health impact, but evidence on specific welfare interventions is mixed. Trade and trade policies were found to have a mixed effect. There were no systematic reviews of the health impact of monetary policy or of large economic institutions such as central banks and regulatory organisations.

CONCLUSIONS

The results of this study provide a simple yet comprehensive framework to support policy-makers and practitioners in addressing the macroeconomic determinants of health. Further research is needed in low and middle income countries and further reviews are needed to summarise evidence in key gaps identified by this review.

TRIAL REGISTRATION

Protocol for umbrella review prospectively registered with PROSPERO CRD42017068357.

Housing as a determinant of health equity: A conceptual model

Housing is a major pathway through which health disparities emerge and are sustained over time. However, no existing unified conceptual model has comprehensively elucidated the relationship between housing and health equity with attention to the full range of harmful exposures, their cumulative burden and their historical production. We synthesized literature from a diverse array of disciplines to explore the varied aspects of the relationship between housing and health and developed an original conceptual model highlighting these complexities. This holistic conceptual model of the impact of housing on health disparities illustrates how structural inequalities shape unequal distribution of access to health-promoting housing factors, which span four pillars: 1) cost (housing affordability); 2) conditions (housing quality); 3) consistency (residential stability); and 4) context (neighborhood opportunity). We further demonstrate that these four pillars can lead to cumulative burden by interacting with one another and with other structurally-rooted inequalities to produce and reify health disparities. We conclude by offering a comprehensive vision for healthy housing that situates housing's impact on health through a historical and social justice lens, which can help to better design policies and interventions that use housing to promote health equity.

Financial Fraud, Mental Health, and Quality of Life: A Study on the Population of the City of Madrid, Spain

Over the past few decades, the financial system has engaged in abusive practices that meet the definition of fraud. Our objective is to compare the prevalence of psychological distress and levels of health-related quality of life according to having been exposed to financial fraud and its economic impact on family finances. The City of Madrid Health Survey 2017 included specific questions on exposure to financial fraud-this section was administered to half of the participants (n = 4425). Mental health need or caseness was defined by a score greater than two on the 12-item version of the Goldberg health questionnaire. Health-related quality of life was assessed by the Darmouth Coop Functional Health Assessment Charts/WONCA (COOP/WONCA). The prevalence of financial fraud was 10.8%. The prevalence rate ratio for caseness of those who experienced severe economic impact due to fraud was 1.62 (95%, CI 1.17-2.25; reference: no fraud), after adjustment by age, sex, social class, and immigrant status. Women experienced a decreased quality of life, even with a moderate impact of fraud, while men experienced a decreased quality of life related to fraud with severe economic impact. The current study contributes to a growing body of literature showing the effects of economic shocks on health as a result of financial fraud.

[Biopsychosocial consequences in Spanish population affected by an eviction process]

The biopsychosocial consequences in Spanish population affected by an eviction process were described in this paper. A scoping review was conducted, consulting the following databases: PubMed, Scopus, PsycINFO, CINAHL, LILACS, CSIC, MEDES, Scielo, Dialnet, Cuiden Plus and Cochrane. The search strategy was (Eviction OR "Home eviction" OR "Housing eviction" OR "Households at risk of eviction" OR Foreclosure) AND ("Health" OR "Mental Health" OR "Psychosocial impact" OR "Impacts on health" OR "Social impact indicators" OR "Social Determinants of Health" OR "Social Indicators").Eleven articles published between 2008 and September 2018 were selected. They followed a quantitative or qualitative methodology. The research quality was measured, and the results were organized according to the biopsychosocial model. From the physical perspective, results described a poor self-perception of health, as well as an increase of chronic diseases, pain, drug consumptions. From the psychological perspective, it was found negative thoughts, recurrent emotions and increased anxiety, depression, mental disorder and post-traumatic stress. From the social perspective, it was found that family, the offspring and the guarantor were affected, as well as the health system with greater medical visits and emergencies. This review showed worse health indicators among women, such as a headache, smoking habits, worse self-perception of health and more mental health disorders (depression, anxiety and other types of psychological distress). Daughters revealed worse self-perception of health than sons. It is necessary an approach from public health, epidemiological surveillance, action protocols and health programs, to advise, diagnose, prevent, protect and promote the health of the Spanish population affected.

The Great Recession and Mental Health in the United States

The full scope of the impact of The Great Recession on individuals' mental health has not been quantified to date. This study aimed to determine whether financial, job-related, and housing impacts experienced by individuals during the recession predicted changes in the occurrence of symptoms of depression, generalized anxiety, panic attacks, and problematic alcohol or other substance use. Longitudinal survey data (n = 2,530 to n = 3,293) were analyzed from the national Midlife in the United States (MIDUS) study collected before (2003-2004) and after (2012-2013) The Great Recession. The population-level trend was towards improvements in mental health over time. However, for individuals each recession impact experienced was associated with long-lasting and transdiagnostic declines in mental health. These relationships were stronger for some sociodemographic groups, suggesting the need for additional support for people who suffer marked losses during recessions and for those without a strong safety net.

Systematic review of psychosocial factors associated with evictions

Evictions from rented accommodations are a common pathway to homelessness and can negatively impact the lives of individuals and communities worldwide. There have been only few interventions developed to address evictions, and it is important to first understand factors associated with evictions. This systematic review included all available peer-reviewed articles on the topic published in the international literature from 1900 to 2017 and identified 10 peer-reviewed studies of evictions conducted in the United States, Canada, Amsterdam and Britain. From these studies, four categories of factors associated with evictions were identified. These factors were financial hardships, sociodemographic characteristics, substance use and other health problems. While many studies had large sample sizes, the majority of studies were cross-sectional. Together, our review found that there were several salient factors known to be associated with evictions which may benefit from intervention. However, more prospective studies on evictions and development of interventions are needed.

Our lives in boxes: perceived community mediators between housing insecurity and health using a PHOTOVOICE approach

Background

While the negative effects of housing insecurity on health are well known, the mechanisms and mediators of these effects have been less well studied. The aim of this study is to identify perceived mediators involved in the relationship between housing insecurity and health.

Methods

We used a participatory action research approach, the Photovoice methodology. It promotes a reflective process where participants critically discuss housing insecurity and human health and make recommendations to find solutions for the issues identified. This study was conducted with 18 members of the Platform for People Affected by Mortgages who were living in a situation of housing insecurity in Barcelona during the first half of 2017.

Results

Participants took 990 photographs, of which 147 were printed for analysis in discussion sessions. 109 of these photographs were then selected for categorization by the participants. 11 major categories emerged, representing various factors related to housing insecurity and health. Most categories were acknowledged as possible mediators of the housing/health problem, including: psychological changes; housing-related material aspects; health-related behaviors; eviction; harassment by financial institutions; and family, neighbors and social network. Others were considered as modifiers that could alter the effects of housing insecurity on health. Co-existing determinants may interact with housing insecurity, thereby increasing negative effects on health.

Conclusions

Through this participatory approach, the Photovoice project gives insight into the mechanisms underlying the relationship between housing insecurity and human health, and provides valuable recommendations to combat this serious public health issue.

Electronic supplementary material

The online version of this article (10.1186/s12939-019-0943-0) contains supplementary material, which is available to authorized users.

Associations between Home Foreclosure and Health Outcomes in a Spanish City

The financial crisis has caused an exponential increase of home foreclosures in Spain. Recent studies have shown the effects that foreclosures have on mental and physical health. This study explores these effects on a sample of adults in the city of Granada (Spain), in terms of socio-demographic, socio-economic and process characteristics. A cross-sectional survey was administered to obtain information on self-perceived changes in several indicators of physical and mental health, consumption of medications, health-related behaviors and use of health services. A total of 205 persons, going through a foreclosure process, participated in the study. 85.7% of the sample reported an increase of episodes of anxiety, depression, and stress; 82.6% sleep disturbances; 42.8% worsening of previous chronic conditions, and 40.8% an increase in consumption of medication. Women, married persons and persons already in the legal stage of the foreclosure process reported higher probability of worsening health according to several indicators, in comparison with men, not married, and individuals in the initial stages of the foreclosure process. The results of this study reveal a general deterioration of health associated with the foreclosure process. These results may help to identify factors to prevent poor health among populations going through a foreclosure process.

Local Health Departments Addressing the Social Determinants of Health: A National Survey on the Foreclosure Crisis

Purpose: To examine local health department (LHD) engagement in addressing the social determinants of health by using the foreclosure crisis as an example. Methods: National survey of 166 LHD staff on the foreclosure crisis (2006-2014). Results: About one quarter (28%) of respondents reported that their LHD had engaged in work related to the foreclosure crisis, 7% planned to engage, and 65% did not or were not planning to engage. Views about the role of LHDs in addressing the foreclosure crisis varied: 30% stated that LHDs should work on foreclosure. Conclusions: A substantial number of respondents reported that their LHD addressed foreclosure, or supported engagement, yet there are divergent perceptions of appropriate LHD roles. LHDs follow a pattern described by the diffusion of innovations theory: Innovative LHDs can share their work on foreclosure and housing, early adopters are poised to act, and others may follow if they have support.

Relationship between area mortgage foreclosures, homeownership, and cardiovascular disease risk factors: The Hispanic Community Health Study/Study of Latinos

Background

The risk of mortgage foreclosure disproportionately burdens Hispanic/Latino populations perpetuating racial disparities in health. In this study, we examined the relationship between area-level mortgage foreclosure risk, homeownership, and the prevalence of cardiovascular disease risk factors among participants of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Methods

HCHS/SOL participants were age 18–74 years when recruited from four U.S. metropolitan areas. Mortgage foreclosure risk was obtained from the U.S. Department of Housing and Urban Development. Homeownership, sociodemographic factors, and cardiovascular disease risk factors were measured at baseline interview between 2008 and 2011. There were 13,856 individuals contributing to the analysis (median age 39 years old, 53% female).

Results

Renters in high foreclosure risk areas had a higher prevalence of hypertension and hypercholesterolemia but no association with smoking status compared to renters in low foreclosure risk areas. Renters were more likely to smoke cigarettes than homeowners.

Conclusion

Among US Hispanic/Latinos in urban cities, area foreclosure and homeownership have implications for risk of cardiovascular disease.

Foreclosures and weight gain: Differential associations by longer neighborhood exposure

While home foreclosure can lead to mental and physical health declines in persons experiencing the foreclosure, whether neighborhood foreclosures can affect the health of other residents is debatable. Using a racially/ethnically diverse sample of Chicago metropolitan area residents linked to foreclosure data from 2008 to 2014, we assessed whether exposure to neighborhood foreclosure fillings was associated with changes in objectively measured body mass index (BMI) over time. Using a retrospective longitudinal design, we employed fixed-effects regression models that controlled for individual- and neighborhood-level covariates to test the association of neighborhood foreclosures and BMI in >60,000 individuals and for individuals who did not move during the follow-up period. We also adjusted for the non-linear association of age and BMI and comorbidities and employed a series of sensitivity analysis to test for robustness. In fully adjusted models, a standard-deviation increase in neighborhood foreclosure filings within 500 m was associated with increases in BMI for individuals who did not move (nonmovers) (mean = 0.03 BMI units, 95% confidence interval: 0.01, 0.06). Neighborhood foreclosure rates were not associated with changes in BMI for the full sample. Given the potential deleterious effects of neighborhood foreclosure on individuals with longer exposure to the local vicinity, clarifying the potential health effects of neighborhood foreclosures would help policymakers when planning actions to prevent home losses, predatory home loans, and that aim to more efficiently return foreclosure properties to productive uses.

Eviction From Renter-occupied Households and Rates of Sexually Transmitted Infections: A County-level Ecological Analysis

BACKGROUND

Housing instability is linked to numerous health outcomes, but the specific impact of eviction from renter-occupied households, an event that has immediate implications for residential stability for low-income individuals, on sexually transmitted infections (STI) rates has not been adequately studied.

METHODS

We examined county-level associations between eviction rates in 2014 and rates of chlamydia and gonorrhea in the following year using publicly available data sources (Eviction Lab National Database and AtlasPlus, respectively). Descriptive statistics compared medians and nonparametric distributions with Krusal-Wallis tests. Linear regression was used to compare tertile categories of eviction rates and STI rates while controlling for potential confounders.

RESULTS

Median rates of chlamydia in counties with low, medium, and high rates of eviction were 229, 270, and 358 cases per 100,000 population, respectively (P < 0.001). The corresponding median rates of gonorrhea were 25, 37, and 75 cases per 100,000 population (P < 0.001). These associations remained statistically significant after controlling for all covariates in adjusted models. The beta coefficients and 95% confidence intervals (95% CI) for chlamydia and gonorrhea comparing high to low county-level eviction rates were 63.8 (95% CI, 45.1-82.5) and 20.4 (95% CI, 13.5-27.4), respectively. Similar associations were observed across levels of poverty and in both metropolitan and nonmetropolitan counties.

CONCLUSIONS

County-level eviction rates are associated with chlamydia and gonorrhea rates in a significant and robust way independent of other known predictors of STI. These results suggest that evictions result in residential instability in a way that may increase STI risk.

Utility Values for Health States in Ireland: A Value Set for the EQ-5D-5L

OBJECTIVE

Our objective was to develop a value set based on Irish utility values for the EuroQol 5-Dimension, 5-Level instrument (EQ-5D-5L).

METHODS

The research design and data collection followed a protocol developed by the EuroQol Group. The EuroQol Valuation Technology (EQ-VT) software was administered using computer-assisted personal interviews to a representative sample of adults resident in Ireland between 2015 and 2016. Utility values were elicited using two stated-preference techniques: time trade-off (TTO) and discrete-choice experiment (DCE). Each respondent completed a valuation exercise in which the EQ-VT system randomly selected one block of ten TTO questions from ten blocks relating to a possible 86 health states. One block of seven DCE pairs from 28 blocks of a possible 196 pairs of health states were randomly selected to accompany this. The relationship between utility values and health states was analysed using a hybrid regression model that combined data from the TTO and DCE techniques and expressed these as a function of the health state presented to the individual. This model estimated coefficients for 20 dummy variables that characterised each health state in the EQ-5D-5L framework, with the lowest level of severity providing the reference category in each domain. The relationship between weighted and unweighted TTO and DCE analyses of main effects was analysed separately.

RESULTS

Comparison of weighted and unweighted models revealed no substantive differences in results with respect to either DCE or TTO models. The unweighted hybrid model produced estimated effects, the ordering of which was intuitively consistent within each domain: lower levels of health were associated with lower utility values. Differences were evident between domains with respect to valuations; the disutility associated with conditions related to anxiety/depression and pain/discomfort was higher than for other domains. The decrement in utility associated with movement from the highest to the lowest level of health was 0.344 for mobility, 0.287 for self-care, 0.187 for usual activities, 0.510 for pain/discomfort and 0.646 for anxiety/depression.

DISCUSSION

The results present the first value set based on the EQ-5D-5L framework for a representative sample of residents in Ireland. The set reveals a higher decrement in utility associated with anxiety/depression than with other domains of health. Caution is warranted in comparisons with other value sets. That said, those in England, the Netherlands, Uruguay and China reveal that, whereas Irish values are broadly consistent with respect to mobility, self-care and usual activities, residents of Ireland attach a higher decrement to pain/discomfort and anxiety/depression than do other populations.

Socioeconomic inequalities in health during the Great Recession: A scoping review of the research literature

Aims: The so-called ‘Great Recession’ in Europe triggered widespread concerns about population health, as reflected by an upsurge in empirical research on the health impacts of the economic crisis. A growing body of empirical studies has also been devoted to socioeconomic inequalities in health during the Great Recession. The aim of the current study is to summarise this health inequality literature by means of a scoping review. Methods: We have performed a scoping review of the research literature (English language) published in the years 2012–2017. Only empirical papers with (a) health status measured on the individual level, (b) information on socioeconomic position (i.e. employment status, educational level, income/wealth, and/or occupational class), and (c) data from European countries in both pre- and post-crisis years were considered relevant. In total, 49 empirical studies fulfilled these inclusion criteria. Results: The empirical findings in the 49 included studies predominantly show that socioeconomic inequalities in health either increased or remained stable from pre- to post-crisis years. Two-thirds (65%) of the studies found evidence of either increasing or partially increasing health inequalities. Thus, people in lower socioeconomic strata fared worse overall in terms of health during the Great Recession, compared to people with higher socioeconomic status. Conclusions: The Great Recession in Europe tends to be followed by increasing socioeconomic inequalities in health. Policymakers should take note of this finding. Widening socioeconomic inequalities in health is a major cause of concern, in particular if health deterioration among ‘vulnerable groups’ is caused by accelerating cumulative disadvantages.