Detroit Neighborhood Research Articles

Neighborhood predictors of suicide and firearm suicide in Detroit, Michigan

BackgroundSuicide is a leading cause of death in the United States with rates increasing over the past two decades. The rate of suicide is higher in rural areas, but a greater number of people in urban areas die by suicide; understanding risk factors for suicide in this context is critically important to public health. Additionally, while many studies have focused on individual-level risk factors, few studies have identified social or structural features associated with suicide or firearm suicide, especially among young people.MethodsStudy outcomes included total firearm suicide, total youth (age 10–29) firearm suicide, total suicide, and total youth suicide in Detroit, Michigan from 2012 through 2019. The predictors in this study included 58 census-tract level variables characterizing the physical features, residential stability, socioeconomic status, and demographics of neighborhoods in Detroit over the study period. We used random forest, extreme gradient boosting (XGBoost), and generalized linear mixed models to predict the four outcomes.ResultsWe found that the tract-level variables used in all three modeling approaches performed poorly at predicting the suicide outcomes, with area under the curve values at times exceeding 0.60 but with extremely low sensitivity (ranging from 0.05 to 0.45). However, the percentage of parcels sold in arms-length transfers in the previous 5 years, the count of vacant lots per square mile, and the percentage of children aged three and older who were enrolled in preschool each demonstrated associations with at least two of the outcomes studied.ConclusionsOur findings suggest place-based factors at the tract level do not provide meaningful insight into the risk of suicide or firearm suicide among youth or the general population in Detroit, Michigan. Future practice and study should consider focusing on both larger and smaller areas, including city and individual-level factors. For example, studies might benefit from the use of both neighborhood and individual-level measures and their interactions to improve our understanding of place-based risk factors and suicide risk.

Does biological age mediate the relationship between childhood adversity and depression? Insights from the Detroit Neighborhood Health Study

The link between childhood adversity and adulthood depression is well-established; however, the underlying mechanisms are still being explored. Recent research suggests biological age may mediate the relationship between childhood adversity and depression in later life. This study examines if biological age mediates the relationship between childhood adversity and depression symptoms using an expanded set of biological age measures in an urban population-based cohort. Data from waves 1–3 of the Detroit Neighborhood Health Study (DNHS) were used in this analysis. Questions about abuse during childhood were coded to form a childhood adversity score similar to the Adverse Childhood Experience measure. Multiple dimensions of biological age, defined as latent variables, were considered, including systemic biological age (GrimAge, PhenoAge), epigenetic age (Horvath, SkinBlood), and immune age (cytomegalovirus, herpes simplex virus type 1, C-reactive protein, interleukin-6). Depression symptoms, modeled as a latent variable, were captured through the Patient Health Questionnaire-9 (PHQ-9). Models were adjusted for age, gender, race, parent education, and past depressive symptoms. Total and direct effects of childhood adversity on depression symptoms and indirect effects mediated by biological age were estimated. For total and direct effects, we observed a dose-dependent relationship between cumulative childhood adversity and depression symptoms, with emotional abuse being particularly influential. However, contrary to prior studies, in this sample, we found few direct effects of childhood adversity on biological age or biological age on depression symptoms and no evidence of mediation through the measures of biological age considered in this study. Further research is needed to understand how childhood maltreatment experiences are embodied to influence health and wellness.

Four recommendations to tackle the complex reality of transdisciplinary, natural experiment research.

Natural experiments are often used to study interventions in which randomization to control versus intervention conditions are impossible. Nature-based interventions (i.e., programs designed to increase human interaction with nature and improve human health) are commonly studied as natural experiments. We used a natural experiment design to explore the benefits of ecological rehabilitation of parks on biodiversity and resident health in low-income, minoritized neighborhoods in Detroit, MI. Given the complexities and interconnectedness of lived experiences, community needs, and ecological health, this research design has presented challenges. Based on our experiences, we pose four key recommendations for researchers and practitioners conducting natural experiments, nature-based interventions, and those working in low-income, minoritized neighborhoods. We use the explicit examples of challenges faced as rationale for these recommendations. The key recommendations are (1) Engage with community leaders; (2) Build a transdisciplinary team and work closely; (3) Examine privilege; and (4) Create a unified vision.

The effects of contemporary redlining on the mental health of Black residents

Understanding how structural racism, including institutionalized practices such as redlining, influence persistent inequities in health and neighborhood conditions is still emerging in urban health research. Such research often focuses on historical practices, giving the impression that such practices are a thing of the past. However, mortgage lending bias can be readily detected in contemporary datasets and is an active form of structural racism with implications for health and wellbeing. The objective of the current study was to test for associations among multiple measures of mental health and a measure of contemporary redlining. We linked a redlining index constructed using Home Mortgage Disclosure Act data (2007–2013) to 2021 health data for Black/African American participants in the Study of Active Neighborhoods in Detroit (n = 220 with address data). We used multilevel regression models to examine the relationship between redlining and a suite of mental health outcomes (perceived stress, anxiety, depressive symptoms, and satisfaction with life), accounting for covariates including racial composition of the neighborhood. We considered three mediating factors: perceived neighborhood cohesion, aesthetics, and discrimination. Although all participants lived in redlined neighborhoods compared to the complete Detroit Metropolitan area, participants with very low income, low levels of experienced discrimination, and lower perceptions of neighborhood aesthetics resided in highly redlined neighborhoods (score ≥5). We observed that higher resident-reported neighborhood aesthetics were found in neighborhoods with lower redlining scores and were associated with higher levels of satisfaction with life. We found that lower levels of redlining were significantly associated with higher levels of perceived discrimination, which was significantly, positively associated with anxiety, depressive symptoms, and perceived stress scores. Our findings highlight that contemporary redlining practices may influence the aesthetics of the built environment because these neighborhoods experience less investment, with implications for residents’ satisfaction with life. However, areas with lower redlining may be areas where Black/African American people experience increased perceived discrimination.

IMPACT OF NEIGHBORHOOD GREEN INFRASTRUCTURE ON ACCESS TO SOCIAL CAPITAL ACROSS THE LIFE COURSE

Abstract While the impact of neighborhood characteristics on access to social capital is well established, less is known about how neighborhood landscape design interventions play a role in shaping access to this resource and how this varies across the life course. In this study we examined the association between age and perceived impact of recently installed neighborhood block-scale green infrastructure (GI) on frequency of social interactions with neighbors. We also examined age variation in how alternative GI designs were perceived (e.g., how well cared for), and how these perceptions were associated with the anticipated impact on frequency of neighbor interactions. Data are from the Neighborhood, environment, and water research collaborations for green infrastructure (NEW-GI) project based in Detroit, MI. Four neighborhood GI interventions were installed in two Detroit neighborhoods in 2016. Surveys were conducted with residents living around the interventions in 2017-18 (n=171), and in nearby neighborhoods (n=145). Age was significantly associated with perceived impact of the landscape interventions on frequency of social interactions with neighbors. Specifically, older adults were significantly more likely to report that the landscape interventions that they were most familiar with resulted in increased frequency of interactions with their neighbors. Further, design alternatives perceived as more well cared for were anticipated to result in greater increases in the frequency of interactions with neighbors among older compared to younger adults. Results suggest neighborhood landscape interventions can improve access to social capital particularly among older adults, and perceptions of landscape care play a role in this process.

Public cooperation with police in Detroit: a testing of three perspectives

PurposeWhile public support for and cooperation with the police has been deemed vital for police effectiveness, what shapes such support and cooperation has not been fully examined. The purpose of this study is to explore three perspectives on public cooperation with police simultaneously: (1) police legitimacy, (2) legal cynicism, and (3) neighborhood norms.Design/methodology/approachThe data used in this study came from a survey conducted with 408 residents across three neighborhoods in Detroit, Michigan, in 2009. Ordinary least squares (OLS) regression was used to assess the relationship between the three groups of theory-based predictors, representing police legitimacy, legal cynicism, and neighborhood norms, and the dependent variable of cooperation.FindingsThe findings partially support the legitimacy model, as trust in police, but not perceived obligation to obey, predicts cooperation with police. This study provides strong support for the legal cynicism and neighborhood norms perspectives. Specifically, residents who have higher levels of legal cynicism and who report a stronger anti-snitch neighborhood subculture report being less inclined to cooperate with the police.Originality/valueThis study is the first to compare the relative influences of three major perspectives on public cooperation. Future studies should continue to analyze competing theories in explaining public cooperation with the police and determine if findings from this study are applicable to locations outside Detroit.

The effect of residential proximity to brownfields, highways, and heavy traffic on serum metal levels in the Detroit Neighborhood Health Study.

Research in environmental sciences has demonstrated that land in close proximity to brownfields and heavily trafficked highways is contaminated with toxic metals. Despite this, little is known about the influence of brownfields and highways on metal levels in residents living nearby. We used data from 774 participants in the Detroit Neighborhood Health Study to estimate the effect of residential proximity to brownfields, highways, and present-day traffic on serum levels of lead, mercury, manganese, and copper using generalized estimating equations. We found that a 1 standard deviation increase in residential brownfield density within 200m was associated with increased serum lead levels (β: 0.04, 95% CI: -0.01, 0.09). The same modeled increase in a subset of historic industrial-use brownfields was associated with elevated serum mercury (β: 0.06, 95% CI: 0.03, 0.09). Increased highway and traffic density was positively associated with serum manganese (β: 0.02, 95% CI: 0.01, 0.04). Highway and traffic density was also positively associated with serum lead (β: 0.02, 95% CI: 0.01, 0.03) after restricting the analysis to participants who did not move during the study follow-up period. These findings draw attention to the importance of remediating polluted post-industrial sites in heavily populated areas, particularly as residents continue to move into densely populated cities around the globe.

Serum lead, mercury, manganese, and copper and DNA methylation age among adults in Detroit, Michigan.

Although the effects of lead, mercury, manganese, and copper on individual disease processes are well understood, estimating the health effects of long-term exposure to these metals at the low concentrations often observed in the general population is difficult. In addition, the health effects of joint exposure to multiple metals are difficult to estimate. Biological aging refers to the integrative progression of multiple physiologic and molecular changes that make individuals more at risk of disease. Biomarkers of biological aging may be useful to estimate the population-level effects of metal exposure prior to the development of disease in the population. We used data from 290 participants in the Detroit Neighborhood Health Study to estimate the effect of serum lead, mercury, manganese, and copper on three DNA methylation-based biomarkers of biological aging (Horvath Age, PhenoAge, and GrimAge). We used mixed models and Bayesian kernel machine regression and controlled for participant sex, race, ethnicity, cigarette use, income, educational attainment, and block group poverty. We observed consistently positive estimates of the effects between lead and GrimAge acceleration and mercury and PhenoAge acceleration. In contrast, we observed consistently negative associations between manganese and PhenoAge acceleration and mercury and Horvath Age acceleration. We also observed curvilinear relationships between copper and both PhenoAge and GrimAge acceleration. Increasing total exposure to the observed mixture of metals was associated with increased PhenoAge and GrimAge acceleration and decreased Horvath Age acceleration. These findings indicate that an increase in serum lead or mercury from the 25th to 75th percentile is associated with a ∼0.25-year increase in two epigenetic markers of all-cause mortality in a population of adults in Detroit, Michigan. While few of the findings were statistically significant, their consistency and novelty warrant interest.

A ranking of environmental indicators among historically redlined neighborhoods in Detroit, Michigan, USA

A ranking of environmental indicators among historically redlined neighborhoods in Detroit, Michigan, USA

C-reactive protein and telomerase reverse transcriptase (TERT) associate with chronic disease markers in a sample from low-income neighborhoods in Detroit, Michigan

Racial and ethnic minorities in economically deprived inner cities experience high rates of chronic diseases compared to neighborhoods with higher socioeconomic status (SES). However, these economically deprived populations are understudied in terms of biomarkers associated with chronic disease risk which include C-reactive protein (CRP), telomerase reverse transcriptase (TERT), and glycosylated hemoglobin (A1C). We examined relationships between CRP and TERT and chronic disease indicators (body mass index [BMI] and A1C) in two low-income, predominantly African American (AA) neighborhoods in Detroit, Michigan. Sixty-nine adults (43 females, 26 males, mean age 46 years [y], standard deviation [SD] ​= ​15.9) completed a health survey, anthropometry, and finger stick blood tests. A1C was measured using A1CNow test strips, and CRP and TERT levels were measured using enzyme-linked immunosorbent assay (ELISA) with samples extracted from dried blood spots. We examined CRP (mean ​= ​4.9, SD ​= ​3.1), TERT (mean ​= ​32.5, SD ​= ​15.1), and A1C (mean ​= ​5.4, SD ​= ​1.0) by BMI category. We fitted restricted maximum likelihood regression models to evaluate associations between CRP, TERT, BMI, and A1C, after adjustment for demographics and inclusion of a random effect for the neighborhood. In this predominantly AA sample (91%, 63/69), 68% had levels of CRP (means ​= ​4.8 ​mg/L, SD ​= ​3.0 for AAs; 6.4 ​mg/L, SD ​= ​3.9 for all others) indicative of chronic inflammation (CRP greater than 3 ​mg/L). BMI was significantly associated with CRP (p ​= ​0.004) and TERT (p ​= ​0.026). TERT levels indicate that being overweight is associated with markers of chromosome remodeling, suggestive of chronic disease. CRP followed a similar trend with overweight individuals having higher inflammation and risk of chronic disease. Our findings warrant further exploration of additional factors that may influence CRP and TERT. Furthermore, examining populations in a more ethnically and/or economically diverse, yet still high proportion minority, sample will fill a knowledge gap in this understudied field.

Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort

DNA methylation (DNAm) has been suggested to play a critical role in post-traumatic stress disorder (PTSD), through mediating the relationship between trauma and PTSD. However, this underlying mechanism of PTSD for African Americans still remains unknown. To fill this gap, in this paper, we investigate how DNAm mediates the effects of traumatic experiences on PTSD symptoms in the Detroit Neighborhood Health Study (DNHS) (2008–2013) which involves primarily African Americans adults. To achieve this, we develop a new mediation analysis approach for high-dimensional potential DNAm mediators. A key novelty of our method is that we consider heterogeneity in mediation effects across sub-populations. Specifically, mediators in different sub-populations could have opposite effects on the outcome, and thus could be difficult to identify under a traditional homogeneous model framework. In contrast, the proposed method can estimate heterogeneous mediation effects and identifies sub-populations in which individuals share similar effects. Simulation studies demonstrate that the proposed method outperforms existing methods for both homogeneous and heterogeneous data. We also present our mediation analysis results of a dataset with 125 participants and more than 450, 000 CpG sites from the DNHS study. The proposed method finds three subgroups of subjects and identifies DNAm mediators corresponding to genes such as HSP90AA1 and NFATC1 which have been linked to PTSD symptoms in literature. Our finding could be useful in future finer-grained investigation of PTSD mechanism and in the development of new treatments for PTSD.

Service Deserts and Periphery Neighborhoods in Detroit

Before Covid-19, Downtown Detroit was enjoying an urban renaissance, but periphery neighborhoods that were lower priority for revitalization remained “service deserts.” These service deserts resulted in coping strategies, behavioral health outcomes, and neighbors becoming service providers. Residents of these areas also experienced increased vulnerability to the pandemic due to lack of access to information and pre-existing health conditions. This article recounts how residents experience living in a service desert and the subsequent impacts of Covid-19.

Cultivating "Kid Success" in Detroit Neighborhoods: A Case Study of Literacy Programs at an Education-Focused Nonprofit Organization

Cultivating "Kid Success" in Detroit Neighborhoods: A Case Study of Literacy Programs at an Education-Focused Nonprofit Organization

Identifying latent shared mobility preference segments in low-income communities: Ride-hailing, fixed-route bus, and mobility-on-demand transit

Concepts of Mobility-on-Demand (MOD) and Mobility as a Service (MaaS), which feature the integration of various shared-use mobility options, have gained widespread popularity in recent years. While these concepts promise great benefits to travelers, their heavy reliance on technology raises equity concerns as socially disadvantaged population groups can be left out in an era of on-demand mobility. This paper investigates the potential uptake of MOD transit services (integrated fixed-route and on-demand services) among travelers living in low-income communities. Specially, we analyze people's latent attitude towards three shared-use mobility services, including ride-hailing services, fixed-route transit, and MOD transit. We conduct a latent class cluster analysis of 825 survey respondents sampled from low-income neighborhoods in Detroit and Ypsilanti, Michigan. We identified three latent segments: shared-mode enthusiast, shared-mode opponent, and fixed-route transit loyalist. People from the shared-mode enthusiast segment often use ride-hailing services and live in areas with poor transit access, and they are likely to be the early adopters of MOD transit services. The shared-mode opponent segment mainly includes vehicle owners who lack interests in shared mobility options. The fixed-route transit loyalist segment includes a considerable share of low-income individuals who face technological barriers to use the MOD transit. We also find that males, college graduates, car owners, people with a mobile data plan, and people living in poor-transit-access areas have a higher level of preferences for MOD transit services. We conclude with policy recommendations for developing more accessible and equitable MOD transit services.

The Chene Street History Project: A Guide to a Nonexistent Detroit Neighborhood

The Chene Street History Project: A Guide to a Nonexistent Detroit Neighborhood

Contact With Nature as a Mental Health Buffer for Lower Income Communities During the COVID-19 Pandemic.

Despite a growing number of research outputs on the importance of nature contact during the COVID-19 pandemic, we know of no longitudinal research conducted prior to and during the pandemic among low-income and minority ethnicity populations, i.e. those that might be most affected. Furthermore, we have scant information about how and to what degree contact with nature might protect mental health or mitigate worsening of mental health during the pandemic. We filled these gaps using a subset of a longitudinal study of n = 86 individuals in low-income, predominantly African American, neighborhoods in Detroit, MI, USA. The study addressed the following research questions: 1) did self-reported use and perceived value of nature change during, versus prior to, the pandemic; 2) did perceived access to outdoor spaces buffer people against mental health issues such as stress, anxiety and depression symptoms; or 3) did objectively measured quality of nature views from home buffer people against mental health issues, taking into account relevant covariates and pandemic experiences (e.g., loss of employment, death of a friend/relative)? While attitudes to nature improved slightly from pre- to during the pandemic, we also observed significant decreases in most types of outdoor physical activity and passive enjoyment of nature (e.g., smelling plants/rain). We found a positive association between visibility of greenspace and perceived stress and anxiety, which not only contradicts previous research findings, but was especially surprising given that overall there was a decrease in perceived stress from 2019-2020. We did not detect associations between perceived access/use of nature and mental health. However, higher depressive symptoms were associated with exposure to more COVID-19-related stressors (lost employment, death of friends from COVID-19, etc.). Taken together, our results indicate that COVID-19 may serve to prolong or exacerbate mental health issues, rather than create them, in this population and that low quality greenspace may perhaps limit the ability for nature view to buffer mental health during the pandemic.

Property Tax Foreclosure, Spatial Effects, and Neighborhood Racial Demographic Change: Examining Data From Detroit.

In recent decades, the city of Detroit has experienced the greatest population loss of any major American city. Applying Event History Analysis methodology to a large dataset containing information on all properties in Detroit between 2002 and 2013, I examine how Property Tax Foreclosure spatially perpetuated itself in Detroit, finding evidence that the number of past but recent Property Tax Foreclosures in a localized area significantly predicts the likelihood of a future foreclosure. I extrapolate these findings to mathematical simulations and find evidence that suggests that initial Property Tax Foreclosures played a significant role in cascading many later on. Finally, building off past research that suggests neighborhood blight disproportionally affects white residential preferences and patterns, I perform an empirical analysis that examines how the initial distribution of Property Tax Foreclosures in Detroit neighborhoods played some role in determining how those neighborhoods have experienced racial demographic change.

“Remember, this is Brightmoor”: Historical Violence, Neighborhood Experiences, and the Hysteresis of Street Life

Drawing on three years of fieldwork, this article explains the emergence and persistence of two conflicting styles of street life in Brightmoor, a depopulated, majority Black, poor Detroit neighborhood facing early gentrification. As most longtimers were inured to historical neighborhood violence, they tended to act vigilantly in public, even after recent crime declines. By contrast, White newcomers, most of whom had moved from middle-class neighborhoods, often defied vigilance such as by organizing a farmers' market across from an open-air drug market. They mobilized aspirational public life as a means for changing the neighborhood and end in itself. To explain these conflicting styles, this article theorizes the cultural mechanism of “ the hysteresis of street life.” Styles of street life, shaped by residents' unequal historical neighborhood experiences, tend to linger under conditions of gradual neighborhood change. It also shows how the hysteresis of street life may contribute to the reproduction of inequalities.

Feelings of safety during daytime walking: associations with mental health, physical activity and cardiometabolic health in high vacancy, low-income neighborhoods in Detroit, Michigan

IntroductionIndividuals living in low-income neighborhoods have disproportionately high rates of obesity, Type-2 diabetes, and cardiometabolic conditions. Perceived safety in one’s neighborhood may influence stress and physical activity, with cascading effects on cardiometabolic health.MethodsIn this study, we examined relationships among feelings of safety while walking during the day and mental health [perceived stress (PSS), depression score], moderate-to-vigorous physical activity (PA), Body Mass Index (BMI), and hemoglobin A1C (A1C) in low-income, high-vacancy neighborhoods in Detroit, Michigan. We recruited 69 adults who wore accelerometers for one week and completed a survey on demographics, mental health, and neighborhood perceptions. Anthropometrics were collected and A1C was measured using A1CNow test strips. We compiled spatial data on vacant buildings and lots across the city. We fitted conventional and multilevel regression models to predict each outcome, using perceived safety during daytime walking as the independent variable of interest and individual or both individual and neighborhood-level covariates (e.g., number of vacant lots). Last, we examined trends in neighborhood features according to perceived safety.ResultsIn this predominantly African American sample (91%), 47% felt unsafe during daytime walking. Feelings of perceived safety significantly predicted PSS (β = − 2.34, p = 0.017), depression scores (β = − 4.22, p = 0.006), and BMI (β = − 2.87, p = 0.01), after full adjustment. For PA, we detected a significant association for sex only. For A1C we detected significant associations with blighted lots near the home. Those feeling unsafe lived in neighborhoods with higher park area and number of blighted lots.ConclusionFuture research is needed to assess a critical pathway through which neighborhood features, including vacant or poor-quality green spaces, may affect obesity—via stress reduction and concomitant effects on cardiometabolic health.

Neighborhood environment, social cohesion, and epigenetic aging.

Living in adverse neighborhood environments has been linked to risk of aging-related diseases and mortality; however, the biological mechanisms explaining this observation remain poorly understood. DNA methylation (DNAm), a proposed mechanism and biomarker of biological aging responsive to environmental stressors, offers promising insight into potential molecular pathways. We examined associations between three neighborhood social environment measures (poverty, quality, and social cohesion) and three epigenetic clocks (Horvath, Hannum, and PhenoAge) using data from the Detroit Neighborhood Health Study (n=158). Using linear regression models, we evaluated associations in the total sample and stratified by sex and social cohesion. Neighborhood quality was associated with accelerated DNAm aging for Horvath age acceleration (β = 1.8; 95% CI: 0.4, 3.1), Hannum age acceleration (β = 1.7; 95% CI: 0.4, 3.0), and PhenoAge acceleration (β = 2.1; 95% CI: 0.4, 3.8). In models stratified on social cohesion, associations of neighborhood poverty and quality with accelerated DNAm aging remained elevated for residents living in neighborhoods with lower social cohesion, but were null for those living in neighborhoods with higher social cohesion. Our study suggests that living in adverse neighborhood environments can speed up epigenetic aging, while positive neighborhood attributes may buffer effects.