Housing as a Social Determinant of Health: Exploring the Relationship between Rent Burden and Risk Behaviors for Single Room Occupancy Building Residents

Using drugs alone in single room occupancy housing: Understanding environmental drivers of overdose risk

BACKGROUND

Across North America most overdose deaths occur in housing, largely due to individuals using drugs alone. In cities, fatalities are disproportionately concentrated in low-income housing, including single room occupancy (SRO) housing. While research has highlighted how SROs operate as risk environments for various poor outcomes, there has been little attention to specific drug use practices (i.e., using alone) associated with overdose vulnerability in these spaces. This study explores how environmental contexts of SROs shape overdose risks, with specific attention to practices of using drugs alone.

METHODS

In-depth semi-structured interviews were conducted with 30 people who use drugs (PWUD) living in Vancouver SROs. Interviews covered topics such as social-structural environments of housing, drug use practices, and housing-based harm reduction. Thematic analysis drew on the intersectional risk environment framework.

RESULTS

Narratives positioned SROs as extensions of public space, with similar expectations of risks and behaviours as in public spaces. For some participants, using alone in their room was characterized as a practice in claiming privacy within the context of a public existence. Participants highlighted how certain features of SRO's social-structural environments were routinely leveraged against them (e.g., security cameras, staff surveillance), suggesting using alone as a tactic to minimize risks of hyper-surveillance and punitive policies. Further, participants discussed using alone as "safer," describing how this practice mitigated place-based risks of social-structural harms (e.g., violence, criminalization) in ways that eclipsed overdose risk.

CONCLUSION

Using drugs alone may be understood as a spatial negotiation of vulnerability to diverse harms produced by environmental contexts of SROs. Interventions accounting for broader contextual factors (e.g., improvements housing quality/quantity, providing a safer supply of drugs) that render using alone as instrumental to survival, and that reduce the implicit threat of punishment from intensive surveillance and control practices are critical to reduce vulnerability to overdose and other harms.

A typology of U.S. metropolises by rent burden and its major drivers

Scholarly work on rent burden, a rather scantily discussed topic within the broader realm of declining housing affordability, still lacks a firm theory. This article seeks to address this gap by developing a typology of U.S. metropolises which centers on their rent burden status and serves as an initial step toward theory building. We employ principal component and cluster analyses to identify seven distinct types of metropolises and their potential drivers of rent burden. An examination of these seven types suggests that rent burden has spatial randomness to it, since some metropolises in the seven types do not confine to specific geographies. Metropolises with pronounced specializations in education/medicine, information, and arts, recreation, and entertainment exhibit higher rent burden, whereas older Rust Belt metropolises have lower burden. Interestingly, emerging new-economy metropolises exhibit lower rent burden as well, likely reflecting the benefits of newer housing and a diverse economic base. Finally, rent burden, besides being an outcome of the housing demand/supply mismatch, is also a manifestation of income potentials that are affected in complex ways by local labor markets and regional economic specializations.

Explaining the higher COVID-19 mortality rates among disproportionately Black counties: A decomposition analysis

Background

Why is COVID-19 mortality higher in counties with a disproportionately large (>13.4%) share of Black residents (hereafter "Black counties") relative to others ("non-Black counties")? Existing literature points to six categories of determinants: (1) social distancing, (2) COVID-19 testing, (3) socioeconomic characteristics, (4) environmental characteristics, (5) prevalence of (pre-existing) chronic health conditions, and (6) demographic characteristics. The relative importance of these determinants has not yet been thoroughly examined.

Methods

We built a dataset consisting of 21 sub-indicators across the six categories of determinants for 3108 US counties and their COVID-19 mortality over the period of January 22, 2020-December 31, 2020. Applying the Gelbach's decomposition, we quantified which determinants were most (or least) associated with the COVID-19 mortality disparity between Black and non-Black counties.

Results

We find that COVID-19 death rates were 26 percent higher in Black counties compared to non-Black counties. This disparity was almost completely explained by the six categories of determinants included in our model. Decomposition analyses indicate that county-level demographic and population health characteristics explained most of this disparity. Among all sub-indicators considered, the greater proportion of females and smaller proportion of rural residents in Black counties were the two largest contributors to the COVID-19 mortality gap between Black and non-Black counties. Proportions of diabetic residents, uninsured residents, and the degree of income inequality also significantly contributed to the gap in COVID-19 mortality.

Conclusion

The COVID-19 mortality gap between Black and non-Black counties was largely explained by pre-pandemic differences in demographic and population health characteristics. Policies aiming to reduce the prevalence of chronic conditions and uninsured residents in Black counties would have helped narrow the COVID-19 mortality gap between Black and non-Black counties in 2020.

The Swiss neighbourhood index of socioeconomic position: update and re-validation

BACKGROUND

The widely used Swiss neighbourhood index of socioeconomic position (Swiss-SEP 1) was based on data from the 2000 national census on rent, household head education and occupation, and crowding. It may now be out of date.

METHODS

We created a new index (Swiss-SEP 2) based on the 2012-2015 yearly micro censuses that have replaced the decennial house-to-house census in Switzerland since 2010. We used principal component analysis on neighbourhood-aggregated variables and standardised the index. We also created a hybrid version (Swiss-SEP 3), with updated values for neighbourhoods centred on buildings constructed after the year 2000 and original values for the remaining neighbourhoods.

RESULTS

A total of 1.54 million neighbourhoods were included. With all three indices, the mean yearly equivalised household income increased from around 52,000 to 90,000 CHF from the lowest to the highest index decile. Analyses of mortality were based on 33.6 million person-years of follow-up. The age- and sex-adjusted hazard ratios of all-cause mortality comparing areas in the lowest Swiss-SEP decile with areas of the highest decile were 1.39 (95% confidence interval [CI] 1.36-1.41), 1.31 (1.29-1.33) and 1.34 (1.32-1.37) using the old, new and hybrid indices, respectively.

DISCUSSION

The Swiss-SEP indices capture area-based SEP at a high resolution and allow the study of SEP when individual-level SEP data are missing or area-level effects are of interest. The hybrid version (Swiss-SEP 3) maintains high spatial resolution while adding information on new neighbourhoods. The index will continue to be useful for Switzerland's epidemiological and public health research.

Ecological Associations Between Inclusionary Zoning Policies and Cardiovascular Disease Risk Prevalence: An Observational Study

BACKGROUND

Providing an adequate supply of affordable housing has become an increasingly difficult challenge for US cities. Inclusionary zoning (IZ) policies have become an increasingly popular response. Substantial research has demonstrated the health benefits of stable, affordable housing. There is anecdotal but not systematic evidence that IZ policies may be associated with some health benefits of affordable housing.

METHODS

We rely on data from the 2017 500 Cities Project, the 2016 to 2017 Lincoln Institute for Land Policy survey, and the 2011 to 2015 American Community Survey. We perform bivariate tests and cluster ordinary least squares regression to examine associations at the municipal level between having inclusionary zoning (IZ) policies, the attributes of those policies, and the prevalence of several cardiovascular outcomes.

RESULTS

Cardiovascular outcomes and socioeconomic characteristics were uniformly better in cities with IZ policies. IZ policies were associated with lower blood pressure (95% CI, -0.50 to -0.13), cholesterol (CI, -0.89 to -0.31), and blood pressure medication (CI, -0.57 to -0.03) prevalence. Some characteristics of IZ programs such as being mandatory, prioritizing rental development, and allocating a larger share of affordable housing are associated with cardiovascular risk prevalence.

CONCLUSIONS

Characteristics of IZ programs that ultimately benefit low-income residents are associated with favorable municipal-level cardiovascular health. Further, IZ policies could potentially address complex health challenges among economically vulnerable households.

Association between housing type and accelerated biological aging in different sexes: moderating effects of health behaviors

Introduction: Despite associated with multiple geriatric disorders, whether housing type, an indicator of socioeconomic status (SES) and environmental factors, is associated with accelerated biological aging is unknown. Furthermore, although individuals with low-SES have higher body mass index (BMI) and are more likely to smoke, whether BMI and smoking status moderate the association between SES and biological aging is unclear. We examined these questions in urbanized low-SES older community-dwelling adults.

Methods: First, we analyzed complete blood count data using the cox proportional hazards model and derived measures for biological age (BA) and biological age acceleration (BAA, the higher the more accelerated aging) (N = 376). Subsequently, BAA was regressed on housing type, controlling for covariates, including four other SES indicators. Interaction terms between housing type and BMI/smoking status were separately added to examine their moderating effects. Total sample and sex-stratified analyses were performed.

Results: There were significant differences between men and women in housing type and BAA. Compared to residents in ≥3 room public or private housing, older adults resided in 1–2 room public housing had a higher BAA. Furthermore, BMI attenuated the association between housing type and BAA. In sex-stratified analyses, the main and interaction effects were only significant in women. In men, smoking status instead aggravated the association between housing type and BAA.

Conclusion: Controlling for other SES indicators, housing type is an independent socio-environmental determinant of BA and BAA in a low-SES urbanized population. There were also sex differences in the moderating effects of health behaviors on biological aging.

Identifying the impacts of the COVID-19 pandemic on service access for people who use drugs (PWUD): A national qualitative study

INTRODUCTION

Closures and reductions in capacity of select health and social services in response to the COVID-19 pandemic may have placed people who use drugs (PWUD) at a disproportionately increased risk for experiencing harms, and resulted in critical treatment disruptions. We conducted the current national study among a cohort of PWUD to understand how COVID-19 has affected service access, including any significant impacts PWUD may have experienced. Results will contribute to the evidence base for informing future pandemic and public health policy planning for vulnerable populations.

METHODS

The project involved qualitative telephone-based interviews with 196 adult (aged 18+) PWUD from across Canada. Eligibility criteria included daily or weekly use of psychoactive substance(s), and/or current enrollment in opioid agonist treatment (OAT). Data collection took place between May and July 2020. Data underwent thematic analyses, and common themes informed the results.

RESULTS

Most participants experienced detrimental service access issues and treatment disruptions during COVID-19, including reduced access to harm reduction services, OAT, withdrawal management and treatment services, medical professionals (e.g., addictions and mental health counseling), shelters/housing, and food banks. Positive impacts included greater access to OAT take-home 'carries' and prescription deliveries. Decreases in service capacity resulted in increased health issues and risky substance use behaviors among PWUD, such as unaccompanied substance use, sharing/re-use of supplies, and overdose events.

CONCLUSIONS

Reductions in the accessibility of critical services PWUD rely on during COVID-19 has increased existent substance use and health issues among PWUD, while decreasing their ability to mitigate risks related to substance use. Thus, the expansion of the depth and breadth of support options is crucial. Services must remain open and flexible to the unique needs of PWUD during COVID-19, while novel and effective adaptations and interventions should remain available and accessible post-COVID-19.

Perspectives On Integrating Health Into The Low-Income Housing Tax Credit: A Qualitative Study

While there is increasing attention to the ways in which safe and affordable housing may promote improved health, less work has focused on the role of the Low-Income Housing Tax Credit (LIHTC) program-the largest source of affordable housing in the United States. Through qualitative interviews, we examined the perspectives of diverse stakeholders in the housing sector on the opportunities and obstacles involved in including health-related criteria in LIHTC funding decisions. Our interviews revealed a growing desire within the housing sector to address health needs but, with the exception of green building criteria, a lack of clear standards on best practices. Stakeholders noted the challenges of effectively partnering with local health institutions, the need to develop sustainable payment mechanisms for health-related services, and the importance of locating developments near health-promoting resources. By describing mechanisms for integrating health services into the affordable housing infrastructure, this study helps lay the groundwork for the development of cross-sector partnerships.

Quantification of Neighborhood-Level Social Determinants of Health in the Continental United States

IMPORTANCE

An association between social and neighborhood characteristics and health outcomes has been reported but remains poorly understood owing to complex multidimensional factors that vary across geographic space.

OBJECTIVES

To quantify social determinants of health (SDOH) as multiple dimensions across the continental United States (the 48 contiguous states and the District of Columbia) at a small-area resolution and to examine the association of SDOH with premature mortality within Chicago, Illinois.

DESIGN, SETTING, AND PARTICIPANTS

In this cross-sectional study, census tracts from the US Census Bureau from 2014 were used to develop multidimensional SDOH indices and a regional typology of the continental United States at a small-area level (n = 71 901 census tracts with approximately 312 million persons) using dimension reduction and clustering machine learning techniques (unsupervised algorithms used to reduce dimensions of multivariate data). The SDOH indices were used to estimate age-adjusted mortality rates in Chicago (n = 789 census tracts with approximately 7.5 million persons) with a spatial regression for the same period, while controlling for violent crime.

MAIN OUTCOMES AND MEASURES

Fifteen variables, measured as a 5-year mean, were selected to characterize SDOH as small-area variations for demographic characteristics of vulnerable groups, economic status, social and neighborhood characteristics, and housing and transportation availability at the census-tract level. This SDOH data matrix was reduced to 4 indices reflecting advantage, isolation, opportunity, and mixed immigrant cohesion and accessibility, which were then clustered into 7 distinct multidimensional neighborhood typologies. The association between SDOH indices and premature mortality (defined as death before age 75 years) in Chicago was measured by years of potential life lost and aggregated to a 5-year mean. Data analyses were conducted between July 1, 2018, and August 30, 2019.

RESULTS

Among the 71 901 census tracts examined across the continental United States, a median (interquartile range) of 27.2% (47.1%) of residents had minority status, 12.1% (7.5%) had disabilities, 22.9% (7.6%) were 18 years and younger, and 13.6% (8.1%) were 65 years and older. Among the 789 census tracts examined in Chicago, a median (interquartile range) of 80.4% (56.3%) of residents had minority status, 10.2% (8.2%) had disabilities, 23.2% (10.9%) were 18 years and younger, and 9.5% (7.1%) were 65 years and older. Four SDOH indices accounted for 71% of the variance across all census tracts in the continental United States in 2014. The SDOH neighborhood typology of extreme poverty, which is of greatest concern to health care practitioners and policy advocates, comprised only 9.6% of all census tracts across the continental United States but characterized small areas of known public health crises. An association was observed between all SDOH indices and age-adjusted premature mortality rates in Chicago (R2 = 0.63; P < .001), even after accounting for violent crime and spatial structures.

CONCLUSIONS AND RELEVANCE

The modeling of SDOH as multivariate indices rather than as a singular deprivation index may better capture the complexity and spatial heterogeneity underlying SDOH. During a time of increased attention to SDOH, this analysis may provide actionable information for key stakeholders with respect to the focus of interventions.

Drug overdose mortality among residents of single room occupancy buildings in San Francisco, California, 2010-2017

BACKGROUND

Single room occupancy (SRO) buildings, also known as residential hotels, are a form of affordable housing common to cities in North America, and residents of these buildings face elevated rates of substance use, physical and mental multimorbidity, and mortality. Identifying distinct populations at greater risk of overdose death is crucial to the planning of interventions aiming to reduce drug-related mortality, yet no studies have assessed the population burden of overdose mortality among SRO residents. The present study quantifies and characterizes drug overdose mortality among residents of SRO buildings in a large U.S. city.

METHODS

We used mortality records and a database of SRO buildings to calculate rate ratios comparing overdose mortality due to opioids, cocaine, and methamphetamine among SRO residents and non-SRO residents in San Francisco, CA 2010-2017 and assessed bivariate differences in decedent and death location characteristics between SRO resident and other overdose decedents.

RESULTS

There were 1,551 overdose deaths during the study period, with an overall rate of 21.3 per 100,000 residents (95%CI = 20.2-22.6). The rate among SRO residents (278.7, 95%CI = 252.9-306.5) was 19.3 (95%CI = 17.1-21.7) times that of non-SRO residents (21.3, 95%CI = 20.2-22.6). An additional 79 (5%) deaths among non-residents occurred in SRO buildings, and 86% of SRO resident decedents died at home compared to 64% of non-SRO residents (p < 0.05).

CONCLUSIONS

Overdose mortality was substantially higher among SRO residents, who were also more likely to die from overdose at home, which highlights the need for resources and targeted interventions directed towards residents of SRO buildings.