Do neighborhood economic characteristics, racial composition, and residential stability predict perceptions of stress associated with the physical and social environment? Findings from a multilevel analysis in Detroit

The link between residential stability and youth substance use: Role of stressful life events and behavioral problems

Introduction

Residential stability is increasingly recognized as a significant factor influencing youth positive development. While the existing body of research provides valuable insights, gaps remain regarding the determinants of residential stability and how its outcomes may vary by gender and race. This study aims to investigate the relationship between residential stability, substance use, and behavioral issues among children aged 9-10 years, with a focus on the mediating role of trauma exposure.

Methods

This research utilizes data from the Adolescent Brain Cognitive Development (ABCD) study, a longitudinal project initiated in 2016 with a sample of 11,849 participants. It explores the links between residential stability, socioeconomic factors, stress, and emotional and behavioral outcomes using the Child Behavior Checklist (CBCL). Structural equation modeling was employed to analyze the data.

Results

Findings indicate that higher household income, living in a household with married parents, and residing in areas with greater household incomes correlate with residential stability. In turn, residential stability is linked to lower levels of life stress and reduced substance use in the future. Furthermore, the impact of residential stability on substance uses and CBCL scores was entirely mediated by trauma exposure.

Conclusions

The findings advocate for the implementation of economic, social, and public policies aimed at fostering stable living environments for children and families to mitigate the emotional and behavioral challenges future generations may face. Enhancing socioeconomic status and supporting structures that promote married family living arrangements emerge as effective strategies to improve residential stability and the well-being of young people in the United States.

Perceived Neighborhood Racial Composition and Depressive Symptoms Among Black Americans Across Adulthood: Evaluating the Role of Psychosocial Risks and Resources

Objectives: To evaluate the relationships between perceived neighborhood racial composition (PNRC), psychosocial risks and resources, and depressive symptoms among young (ages 22-35), middle-aged (ages 36-49), and older (ages 50+) Black Americans. Methods: Full sample and age-stratified linear regression models estimated the PNRC-depressive symptoms association and the extent to which it persisted after accounting for psychosocial risks (i.e., neighborhood disorder, other social stressors) and resources (i.e., mastery, social support, racial identity) among 627 Black Americans in the Nashville Stress and Health Study. Results: Living in racially integrated and predominately White neighborhoods was associated with elevated depressive symptoms. While psychosocial risks and resources explained a substantial portion of these associations, patterns varied across age groups. Discussion: PNRC impacts depressive symptoms among Black Americans by shaping psychosocial risks and resources. Findings underscore interconnections between contextual and psychosocial factors, as well as the distinct mental health significance of these processes across stages of adulthood.

The effect of social determinants of health on utilization of surgical treatment for hepatocellular carcinoma patients

BACKGROUND

A paucity of data exists on how social determinants of health (SDOH) influence treatment for Hepatocellular carcinoma (HCC). We investigated associations between SDOH (healthcare access, education, social/community context, economic stability, and built/neighborhood environment) and receipt of surgery.

METHODS

The Pennsylvania Liver Cancer Registry was linked with neighborhood SDOH from the American Community Survey. Multilevel logistic regression models with patient and neighborhood SDOH variables were developed.

RESULTS

Of 9423 HCC patients, 2393 were stage I. Only 36.3% of stage I patients received surgery. Black patients had significantly lower odds of surgery vs Whites (OR = 0.73; p < 0.01), but not after adjustments for SDOH. All 5 SDOH domains were associated with odds of surgery overall; 2 domains were associated in Stage I patients, social context (e.g., racial concentration, p = 0.03) and insurance access (p < 0.01).

CONCLUSIONS

SDOH impact utilization of surgery for HCC. Findings can guide healthcare professionals to create programs for populations at risk for poor liver cancer outcomes.

Disparities in inflammation between non-Hispanic black and white individuals with lung cancer in the Greater Chicago Metropolitan area

Background

Lung cancer incidence and mortality rates are higher in Non-Hispanic Black (NHB) compared to Non-Hispanic White (NHW) individuals in the Chicago metropolitan area, which may be related to exposure to chronic stress which may increase inflammation.

Specific aim

We investigated disparities in inflammation as measured by neutrophil to lymphocyte ratio (NLR) in individuals with lung cancer by race and by neighborhood concentrated disadvantage index (CDI).

Methods

This retrospective, cross-sectional study included 263 NHB and NHW adults with lung cancer. We analyzed NLR as a continuous and categorical variable to determine degree and prevalence of inflammation. We used Mann Whitney U, t-tests, Chi square tests, linear and logistic regression models as appropriate.

Results

More than 60% of subjects had inflammation (NLR ≥ 3) at lung cancer diagnosis. The degree of inflammation was significantly lower in NHB (NLR 5.50 +/- 7.45) compared to NHW individuals (NLR 6.53 +/- 6.53; p=0.01) but did not differ by neighborhood CDI. The prevalence of inflammation (NLR ≥ 3) was significantly lower in NHB (55.07%) compared to NHW individuals (71.20%; p<0.01) and in those from the most disadvantaged (54.07%) compared to the least disadvantaged (71.88%; p<0.01) neighborhoods.

Conclusion

At lung cancer diagnosis, there is a lower degree and prevalence of inflammation in NHB compared to NHW individuals, and lower prevalence in those residing in the most disadvantaged neighborhoods. Further research is needed to determine mechanisms of inflammation that may be contributing to lung cancer disparities as well as whether NLR is an appropriate biomarker when examining racial differences in inflammation.

Updated Evaluation of RhD Status Among Women of Child-Bearing Age in Detroit, Michigan

OBJECTIVES

The Rh blood group system is one of the most important and immunogenic blood group systems after the ABO blood group system and, like other blood group antigens, it follows ethnic and racial trends. However, when it comes to D variants-partial D and weak D-most of the cohorts studied in the literature have been of European descent. This study aimed to discover the variant D trends in Detroit, Michigan, with an emphasis on Black communities.

METHODS

From 2016 to 2018, there were 102 patients (women of childbearing potential: < 50 years) at Henry Ford Hospital that had serologic D discrepant testing. These patients were sent out for molecular RHD determination.

RESULTS

In total, 12.7% of patients were characterized as RhD positive and 87.3% of patients were characterized as RhD variants (nominated as RhD negative at our institution).

CONCLUSIONS

Our predominantly Black cohort sheds light on the diversity of the RhD antigen. The majority of Blacks were classified as RhD variants (RhD negative nomination at our institution). Therefore, molecular testing for this patient population with serologic RhD discrepancies is paramount to properly manage their obstetric care.

Social Susceptibility to Multiple Air Pollutants in Cardiovascular Disease

INTRODUCTION

Cardiovascular disease (CVD) is the leading cause of death in the United States, and substantial research has linked ambient air pollution to elevated rates of CVD etiology and events. Much of this research identified increased effects of air pollution in lower socioeconomic position (SEP) communities, where pollution exposures are also often higher. The complex spatial confounding between air pollution and SEP makes it very challenging, however, to disentangle the impacts of these very different exposure types and to accurately assess their interactions. The specific causal components (i.e., specific social stressors) underlying this SEP-related susceptibility remain unknown, because there are myriad pathways through which poverty and/or lower-SEP conditions may influence pollution susceptibility - including diet, smoking, coexposures in the home and occupational environments, health behaviors, and healthcare access. Growing evidence suggests that a substantial portion of SEP-related susceptibility may be due to chronic psychosocial stress - given the known wide-ranging impacts of chronic stress on immune, endocrine, and metabolic function - and to a higher prevalence of unpredictable chronic stressors in many lower-SEP communities, including violence, job insecurity, and housing instability. As such, elucidating susceptibility to pollution in the etiology of CVD, and in the risk of CVD events, has been identified as a research priority. This interplay among social and environmental conditions may be particularly relevant for CVD, because pollution and chronic stress both impact inflammation, metabolic function, oxidative stress, hypertension, atherosclerosis, and other processes relevant to CVD etiology. Because pollution exposures are often spatially patterned by SEP, disentangling their effects - and quantifying any interplay - is especially challenging. Doing so, however, would help to improve our ability to identify and characterize susceptible populations and to improve our understanding of how community stressors may alter responses to multiple air pollutants. More clearly characterizing susceptible populations will improve our ability to design and target interventions more effectively (and cost-effectively) and may reveal greater benefits of pollution reduction in susceptible communities, strengthening cost-benefit and accountability analyses, ultimately reducing the disproportionate burden of CVD and reducing health disparities.

METHODS

In the current study, we aimed to quantify combined effects of multiple pollutants and stressor exposures on CVD events, using a number of unique datasets we have compiled and verified, including the following. 1. Poverty metrics, violent crime rates, a composite socioeconomic deprivation index (SDI), an index of racial and economic segregation, noise disturbance metrics, and three composite spatial factors produced from a factor analysis of 27 community stressors. All indicators have citywide coverage and were verified against individual reports of stress and stressor exposure, in citywide focus groups and surveys. 2. Spatial surfaces for multiple pollutants from the New York City (NYC) Community Air Survey (NYCCAS), which monitored multiple pollutants year-round at 150 sites and used land use regression (LUR) modeling to estimate fine-scale (100-m) intra-urban spatial variance in fine particles (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3). 3. Daily data and time-trends derived from all U.S. Environmental Protection Agency (EPA) Air Quality System (AQS) monitors in NYC for 2005-2011, which we combined with NYCCAS surfaces to create residence- and day-specific spatiotemporal exposure estimates. 4. Complete data on in- and out-patient unscheduled CVD events presented in NYC hospitals for 2005-2011 (n = 1,113,185) from the New York State (NYS) Department of Health's Statewide Planning and Research Cooperative System (SPARCS). In the study, we quantified relationships between multiple pollutant exposures and both community CVD event rates and individual risk of CVD events in NYC and tested whether pollution-CVD associations varied by community SEP and social stressor exposures. We hypothesized (1) that greater chronic community-level SEP, stressor, and pollution exposures would be associated with higher community CVD rates; (2) that spatiotemporal variations in multiple pollutants would be associated with excess risk of CVD events; and (3) that pollution-CVD associations would be stronger in communities of lower SEP or higher stressor exposures.

RESULTS

To first understand the separate and combined associations with CVD for both stressors and pollutants measured at the same spatial and temporal scale of resolution, we used ecological cross-sectional models to examine spatial relationships between multiple chronic pollutant and stressor exposures and age-adjusted community CVD rates. Using census-tract-level annual averages (n = 2,167), we compared associations with CVD rates for multiple pollutant concentrations and social stressors. We found that associations with community CVD rates were consistently stronger for social stressors than for pollutants, in terms of both magnitude and significance. We note, however, that this result may be driven by the relatively greater variation (on a proportional basis) for stressors than for pollutants in NYC. We also tested effect modification of pollutant-CVD associations by each social stressor and found evidence of stronger associations for NO2, PM2.5, and wintertime SO2 with CVD rates, particularly across quintiles of increasing community violence or assault rates (P trend < 0.0001). To examine individual-level associations between spatiotemporal exposures to multiple pollutants and the risk of CVD events, across multiple lag days, we examined the combined effects of multiple pollutant exposures, using spatiotemporal (day- and residence-specific) pollution exposure estimates and hospital data on individual CVD events in case-crossover models, which inherently adjust for nontime-varying individual confounders (e.g., sex and race) and comorbidities. We found consistent significant relationships only for same-day pollutant exposures and the risk of CVD events, suggesting very acute impacts of pollution on CVD risk. Associations with CVD were positive for NO2, PM2.5, and SO2, as hypothesized, and we found inverse associations for O3 (a secondary pollutant chemically decreased ["scavenged"] by fresh emissions that, in NYC, displays spatial and temporal patterns opposite those of NO2). Finally, to test effect modification by chronic community social stressors on the relationships between spatiotemporal pollution measures and the risk of CVD events, we used individual-level case-crossover models, adding interaction terms with categorical versions of each social stressor. We found that associations between NO2 and the risk of CVD events were significantly elevated only in communities with the highest exposures to social stressors (i.e., in the highest quintiles of poverty, socioeconomic deprivation, violence, or assault). The largest positive associations for PM2.5 and winter SO2 were generally found in the highest-stressor communities but were not significant in any quintile. We again found inverse associations for O3, which were likewise stronger for individuals living in communities with greater stressor exposures.

CONCLUSIONS

In ecological models, we found stronger relationships with community CVD rates for social stressors than for pollutant exposures. In case-crossover analyses, higher exposures to NO2, PM2.5, and SO2 were associated with greater excess risk of CVD events but only on the case day (there were no consistent significant lagged-day effects). In effect-modification analyses at both the community and individual level, we found evidence of stronger pollution-CVD associations in communities with higher stressor exposures. Given substantial spatial confounding across multiple social stressors, further research is needed to disentangle these effects in order to identify the predominant social stressors driving this observed differential susceptibility.

THOSE LEFT BEHIND: Socioeconomic Predictors and Social Mediators of Psychological Distress among Working-age African Americans in a Post-industrial City

While the socioeconomic status (SES)-psychological distress gradient is well-documented in the social science literature, less attention has been devoted to how this relationship varies within sociodemographic subgroups. I contribute to this small but growing literature by first examining the relationship between multiple dimensions of SES and two measures of psychological distress (depression and anxiety) among working-aged African Americans. I then test whether three social mediators explain the SES-psychological distress relationship, and whether gender modifies these associations and/or the social mediators that shape them. To address these aims, I analyze two waves of population-representative data from the Detroit Neighborhood Health Study (N=685). Data were collected between 2008 and 2010 in the wake of the Great Recession. I utilize structural equation modeling with latent variables to assess these relationships, and test indirect and conditional effects to detect the presence of mediation and/or moderation, respectively. Findings revealed associations between higher total household income and lower levels of depression/anxiety, as well as unemployment and increased depression/anxiety among working age African Americans. Furthermore, higher educational attainment was associated with reduced anxiety, but not depression, in this population. Gender moderated these findings such that unemployment was associated with higher levels of depression/anxiety among women but not men. I also found that trauma mediated the relationship between unemployment and depression/anxiety as well as educational attainment and anxiety. Gender, however, moderated the association between unemployment and depression/anxiety via traumatic events such that the relationship was stronger among women than men. Collectively, these findings contribute to our limited understanding of African Americans' mental health and underscore the importance of how both socioeconomic forces and life course experiences with traumatic events contribute to poor mental health among this population.

Neighborhood Characteristics and Cardiovascular Biomarkers in Middle-Aged and Older Adults: the Baltimore Memory Study

Neighborhood greenness has been linked to better cardiovascular health, but little is known about its association with biomarkers related to cardiovascular risk. Adverse neighborhood conditions, such as disorder and socioeconomic disadvantage, are associated with higher cardiovascular biomarker levels, but these relationships may differ in neighborhoods with more greenness. This study evaluated cross-sectional associations of validated measures of neighborhood greenness, disorder, and socioeconomic disadvantage with cardiovascular biomarkers in middle-aged and older adults living in Baltimore City. The sample included 500 adults, aged 57-79 years, enrolled in the Baltimore Memory Study and living in Baltimore City during 2009-2010. Multi-level log-gamma regressions examined associations between the three neighborhood characteristics and seven cardiovascular biomarkers. Models additionally evaluated the effect modification by neighborhood greenness on associations of neighborhood disorder and socioeconomic disadvantage with the biomarkers. Adjusting for covariates and neighborhood greenness, greater neighborhood disorder was associated with higher C-reactive protein (exp β = 1.21, SE = 0.11, p = 0.035) and serum amyloid A (exp β = 1.28, SE = 0.12, p = 0.008), while greater neighborhood socioeconomic disadvantage was associated with higher tumor necrosis factor alpha (exp β = 1.24, SE = 0.12, p = 0.019). Higher neighborhood greenness was associated with lower soluble vascular cell adhesion molecule-1, accounting for disorder (exp β = 0.70, SE = 0.10, p = 0.010) and socioeconomic disadvantage (exp β = 0.73, SE = 0.10, p = 0.025). There was no evidence of effect modification among neighborhood characteristics. The findings suggest that neighborhood effects on cardiovascular health may be mediated through cardiovascular biomarker levels, and that socioeconomic disadvantage, disorder, and greenness may each be important features of neighborhoods.

Weathering in Detroit: Place, Race, Ethnicity, and Poverty as Conceptually Fluctuating Social Constructs Shaping Variation in Allostatic Load

Policy Points Despite 30 years of attention to eliminating population health inequity, it remains entrenched, calling for new approaches. Targeted universalism, wellness-based local development, and Jedi Public Health approaches that are community informed, evidence based, and focused on improving everyday settings and diverse lived experiences are important policy directions. State and federal revenue transfers are necessary to mitigate the harms of austerity and assure greater equity in fiscal and population health in places like Detroit, Michigan.

CONTEXT

US population health inequity remains entrenched, despite mandates to eliminate it. To promote a public health approach of consequence in this domain, stakeholders call for moving from risk-factor epidemiology toward consideration of dynamic local variations in the physiological impacts of structured lived experience.

METHODS

Using a community-based, participatory research approach, we collected and analyzed a unique data set of 239 black, white, and Mexican adults from a stratified, multistage probability sample of three Detroit, Michigan, neighborhoods. We drew venous blood, collected saliva, took anthropometric measurements, and assayed specimens to measure allostatic load (AL), an indicator of stress-mediated biological dysregulation, linking participants' AL scores and survey responses. In a series of nested Poisson models, we regressed AL on socioeconomic, psychosocial, neighborhood, and behavioral stressors to test the hypothesis that race/ethnicity and poverty-to-income ratio (PIR) are conceptually fluctuating variables whose impacts on AL are sensitive to structured lived experience.

FINDINGS

White and Mexican Detroit participants with PIR < 1 have higher AL than counterparts nationally; black participants in Detroit and nationwide had comparable AL. Within Detroit, disparities by PIR were higher in whites than blacks, with no significant difference by PIR in Mexicans. The size of estimated effects of having PIR < 1 for whites is 58 percentage points greater than that of Mexicans and twice that of blacks.

CONCLUSIONS

Structurally rooted unobserved heterogeneity bias threatens the validity of independent main effects interpretations of associations between race/ethnicity, socioeconomic characteristics, or place and health. One-size-fits-all analytic or policy models developed from the perspective of the dominant social group insufficiently address the experiences of diverse populations in specific settings and historical moments; nor do they recognize culturally mediated protective resources residents may have developed against material and psychosocial hardship.

Investigating disparities: the effect of social environment on pancreatic cancer survival in metastatic patients

Background

Pancreatic adenocarcinoma (PCA) incidence is higher in Black compared to White patients. Beyond race, neighborhood socioeconomic status (nSES) may also inform disparities. However, these effects on metastatic pancreatic adenocarcinoma (mPCA) are not well-studied. The aim of this study was to explore whether nSES influences survival in patients with mPCA.

Methods

nSES measures were derived from U.S. census data at the census tract (CT) level. We correlated medical records of mPCA patients (diagnosed 2010-2016; n=370) to nSES measures retrospectively via a geocode derived from patient address. Multivariable cox proportional hazards models were used to identify patient-level (age, sex, race, marital status, treatment (radiation/chemo/surgery), PCA family history, stage, Jewish ancestry, tobacco use, BMI, diabetes, and statin use) and nSES measures (deprivation, racial concentration, stability, transportation access, immigration) associated with mPCA survival; P values <0.05 were significant.

Results

Eighty-two percent of patients were White; less than one-third of patients resided in highly deprived neighborhoods. Three hundred thirty-three mPCA patient deaths occurred, with a survival ranging from 7-9 months (median 8 months). Patient-level factors including younger age, receipt of chemotherapy or initial surgery and statin use, were associated with improved survival, whereas neighborhood stability (i.e., a higher % of residents still living in the same house as 1 year ago) was significantly associated with poor pancreatic survival.

Conclusions

Our findings suggest nSES has limited effect on survival of mPCA patients as compared to clinical variables. This may be due to the aggressive nature of this cancer, however, additional studies with larger, more diverse cohorts are needed to better understand the effect of nSES on survival of patients with mPCA.

The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer

INTRODUCTION

Neighborhood socioeconomic (nSES) factors have been implicated in prostate cancer (PCa) disparities. In line with the Precision Medicine Initiative that suggests clinical and socioenvironmental factors can impact PCa outcomes, we determined whether nSES variables are associated with time to PCa diagnosis and could inform PCa clinical risk assessment.

MATERIALS AND METHODS

The study sample included 358 high risk men (PCa family history and/or Black race), aged 35-69 years, enrolled in an early detection program. Patient variables were linked to 78 nSES variables (employment, income, etc.) from previous literature via geocoding. Patient-level models, including baseline age, prostate specific antigen (PSA), digital rectal exam, as well as combined models (patient plus nSES variables) by race/PCa family history subgroups were built after variable reduction methods using Cox regression and LASSO machine-learning. Model fit of patient and combined models (AIC) were compared; p-values<0.05 were significant. Model-based high/low nSES exposure scores were calculated and the 5-year predicted probability of PCa was plotted against PSA by high/low neighborhood score to preliminarily assess clinical relevance.

RESULTS

In combined models, nSES variables were significantly associated with time to PCa diagnosis. Workers mode of transportation and low income were significant in White men with a PCa family history. Homeownership (%owner-occupied houses with >3 bedrooms) and unemployment were significant in Black men with and without a PCa family history, respectively. The 5-year predicted probability of PCa was higher in men with a high neighborhood score (weighted combination of significant nSES variables) compared to a low score (e.g., Baseline PSA level of 4ng/mL for men with PCa family history: White-26.7% vs 7.7%; Black-56.2% vs 29.7%).

DISCUSSION

Utilizing neighborhood data during patient risk assessment may be useful for high risk men affected by disparities. However, future studies with larger samples and validation/replication steps are needed.

Identifying Opportunities for Collaboration Across the Social Sciences to Reach the 10-10-10: A Multilevel Approach

BACKGROUND

The national and global strategy to combat HIV, often referred to as the "90-90-90," aims to diagnose 90% of people living with HIV, get 90% of those diagnosed onto antiretroviral treatment (ART), and achieve viral suppression in 90% of those on ART. The remaining 10-10-10 who will be undiagnosed, not on ART, or not virally suppressed, include vulnerable persons and populations most affected by social determinants of health. Given their foci on the social determinants of health at the individual, social, and structural levels, social scientists are in a prime position to help reach the 10-10-10. A potentially effective way for social scientists to achieve this goal is to examine the issues that affect the 10-10-10 using a multilevel framework, to understand at what levels their own approaches fit within such a multilevel framework, and to seek intentional collaborations with other social scientists who may work at different levels but whose approaches may complement their own within multilevel collaborations.

APPROACH

The present article describes how a multilevel framework can guide collaboration across disciplines within the social sciences toward the common goal of reaching the 10-10-10.

CONCLUSIONS

Within a multilevel framework, social scientists can work collaboratively to address the needs of individuals among the 10-10-10 within the social and structural contexts (eg, social norms, stigma, poverty, and barriers to care) that affect their health. Such an approach draws on the unique strengths and approaches of different social-science disciplines while also building capacity for individuals most affected by social determinants of health.

Health-Predictive Social-Environmental Stressors and Social Buffers Are Place Based: A Multilevel Example From San Bernardino Communities

Significant evidence demonstrates the powerful effects social determinants have on health-related perceptions, behaviors, and health outcomes. However, these factors are often studied out of context, despite the acknowledgement that social determinants of health are place based. This research aimed to demonstrate that health-related perceptions are dependent on where one lives. Via a community-based participatory study, participants were randomly selected from 3 residential regions varying distances from a freight railyard (nearest n = 300, middle n = 338, farthest n = 327), all mostly low-income, predominately Latino areas. Interview-administered surveys with adults were collected by bilingual trained community members (87% response) in English/Spanish. Adjusted-logistic regression models assessed residential region as a predictor of stressors (perceptions of community safety, community noise disturbance, health care access, food insecurity) and buffers (3 neighborhood cohesion variables), after adjusting for household income, race/ethnicity, gender, and age. Each region experienced a unique amalgam of stressors and buffers. In general, the region closest to the railyard experienced more stressors (odds ratio [OR] = 1.58; 95% CI 1.12-2.20) and less buffers (OR = 0.69; 95% CI 0.49-0.96) than the region furthest from the railyard. More than half of participants in each region reported 2 or more stressors and 2 or more buffers. In this seemingly homogenous study population, place remained important in spite of traditionally used socioeconomic factors, such as household income and race/ethnicity. Social determinants of health should be studied with regard to their environmental context, which will require interdisciplinary collaboration to improve multilevel research methods. Including the study of social buffers will also promote sustainable, positive change to reduce health disparities.

Racial/ethnic segregation and health disparities: Future directions and opportunities

Health researchers have investigated the association between racial segregation and racial health disparities with multilevel approaches. This study systematically reviews these multilevel studies and identifies broad trends and potential directions for future research on racial segregation and health disparities in the US. After searching databases including CINAHL and MEDLINE, we identified and systematically reviewed 66 articles published between 2003 and 2019 and found four major gaps in racial/ethnic segregation and health disparities: (a) the concept of segregation was rarely operationalized at the neighborhood level, (b) except for the evenness and exposure dimension, other dimensions of segregation are overlooked, (c) little attention was paid to the segregation between whites and non-black minorities, particularly Hispanics and Asians, and (d) mental health outcomes were largely absent. Future directions and opportunities include: First, other segregation dimensions should be explored. Second, the spatial scales for segregation measures should be clarified. Third, the theoretical frameworks for black and non-black minorities should be tested. Fourth, mental health, substance use, and the use of mental health care should be examined. Fifth, the long-term health effect of segregation has to be investigated, and finally, other competing explanations for why segregation matters at the neighborhood level should be answered.

Influence of built environment on quality of life changes in African-American patients with non-metastatic breast cancer

Research links the built environment to health outcomes, but little is known about how this affects quality of life (QOL) of African American breast cancer patients, especially those residing in disadvantaged neighborhoods. Using latent trajectory models, we examined whether the built environment using Google Street View was associated with changes in QOL over a 2-year follow-up in 228 newly diagnosed African American breast cancer patients. We measured QOL using the RAND 36-Item Health Survey subscales. After adjusting for covariates, improvement in emotional well-being and pain over time was greater for women living on streets with low-quality (vs. high-quality) sidewalks.

Disablement in Context: Neighborhood Characteristics and Their Association With Frailty Onset Among Older Adults

OBJECTIVES

Frailty, an aggregate expression of risk resulting from age- or disease-associated physiologic accumulation, is responsible for large economic and societal costs. Little is known about how the context in which older adult's live may contribute to differences in frailty. This study clarifies the role of neighborhood structural characteristics and social processes for understanding declines in health status.

METHOD

Data from two waves of the National Social Life, Health and Aging Project were linked to tract-level information from the 2000 Census (n = 1,925). Frailty was measured with in-home assessments and self-report. Ordered logistic regressions were employed to estimate the role of tract-level structural and social process indicators at baseline on frailty at follow-up.

RESULTS

Living in a neighborhood characterized with a higher density of African Americans and with more residential instability was associated with higher odds of frailty. Adults in neighborhoods with increasing levels of physical disorder had higher odds of frailty (adjusted odds ratio [AOR]: 1.20, 95% confidence interval [CI]: 1.03, 1.39), while those exposed to more social cohesion had lower odds (AOR: 0.87, CI: 0.78, 0.97).

DISCUSSION

For older adults, both neighborhood structural and social process characteristics appear to be independently associated with frailty.

Social Integration may Moderate the Relationship between Neighborhood Vacancy and Mental Health Outcomes: Initial Evidence from Flint, Michigan

Long-term residence in neighborhoods is thought to promote the development and maintenance of supportive relationships and trust. These strong social ties may, however, be limited in communities in post-industrial cities characterized by high levels of vacant properties. This study aimed to examine the relationship between neighborhood vacancy and mental health with adjustment for length of residence and possible moderation by social (dis)integration in a sample of Flint, MI, residents. We found that short-term (but not long-term) increases in neighborhood vacancy were associated with poorer mental health, after adjustment for individual covariates. When considering neighborhood vacancy, length of residence and individual covariates, however, the only significant association detected was between higher social disintegration and lower wellbeing. This effect was direct and not mediated by other factors. In this way, it appears that the social conditions of neighborhoods may be important, particularly in places that have experienced declines in the built environment. In addition, we identified evidence that social integration moderates the relationship between neighborhood vacancy and mental health outcomes. The level of neighborhood vacancies had a weaker relationship to wellbeing among those with higher levels of social ties. But none of the independent variables in our study were able to predict social integration, highlighting some potential areas for future research. From these findings, we posit that establishing strong social connections can buffer residents against negative mental health outcomes, and health promotion efforts could usefully assist in maintaining social ties among neighbors.

Neighborhood social cohesion is associated with lower levels of interleukin-6 in African American women

INTRODUCTION

Social cohesion is a positive neighborhood characteristic defined by feelings of connectedness and solidarity within a community. Studies have found significant associations between social cohesion and cardiovascular disease (CVD) risk factors and outcomes. Inflammation is one potential physiological pathway linking social cohesion to CVD development, but few studies have evaluated the relationship between social cohesion and inflammatory biomarkers. Prior research has also established that race and gender can modify the effects of neighborhood features, including social cohesion, on CVD risk factors and outcomes. This study aimed to examine the association between social cohesion and the inflammatory biomarkers interleukin-6 (IL-6) and C-reactive protein (CRP) in a cohort of African American and White women and men.

MATERIALS AND METHODS

Data from the Morehouse and Emory Team Up to Eliminate Health Disparities (META-Health) Study were used to assess the association between social cohesion and inflammation among African American (n = 203) and White (n = 176) adults from the Atlanta metropolitan area. Social cohesion was measured using the social cohesion subscale from the Neighborhood Health Questionnaire. Inflammatory biomarkers were measured from plasma frozen at -70 °C. Multivariable linear regression analyses were conducted, controlling for demographic, clinical, behavioral, and psychosocial factors sequentially. Interaction by race and gender was also examined.

RESULTS

In models adjusted for age, race, gender, and education, social cohesion was significantly associated with lower levels of IL-6 (β = -0.06, p = 0.03). There was a significant race × social cohesion interaction (p = 0.04), and a marginally significant gender × race × social cohesion interaction (p = 0.09). In race-stratified models controlling for age, gender, and education, social cohesion was associated with lower IL-6 levels in African Americans (β = -0.11, p = 0.01), but not Whites (β = 0.01, p = 0.91). In fully adjusted race- and gender-stratified models, social cohesion was associated with lower levels of IL-6 in African American women only (β = -0.15, p = 0.003). CRP was not associated with social cohesion in fully adjusted models.

CONCLUSION

The association between social cohesion and lower levels of IL-6 is modified by gender and race, with the strongest association emerging for African American women. Although the pathways through which social cohesion impacts inflammation remain unclear, it is possible that for African American women social cohesion manifests through neighborhood networks.

Loss of Trust in the Neighborhood: The Experience of Older African Americans in Detroit

Objective

Although evidence suggests that neighborhood conditions are related to stress and health, the processes connecting neighborhood conditions and stress for older minorities is little explored. The purpose of this analysis is to contribute new insights into this issue.

Method

We conducted a qualitative analysis as part of a larger mixed methods study of 100 African Americans aged 55 years and older living in neighborhoods of varying quality in Detroit, Michigan. A subsample of (n = 20) older adults took photographs of bothersome aspects of their neighborhoods and participated in in-depth photo-elicitation interviews. Data were analyzed using a grounded theory approach.

Results

"Loss of trust in the neighborhood" emerged as the core category to explain how older African Americans in our sample experienced neighborhood stressors in their daily lives. Loss of trust in physical, social, and institutional dimensions of the neighborhood contributed to the core category.

Discussion

The life course of neighborhoods and the trust placed in them appears to be intimately connected to the well-being of older African Americans. We therefore hypothesize that a fundamental pathway through which neighborhood stressors are experienced for older African Americans in United States "Rust Belt" cities is the multifaceted loss of trust in the neighborhood.

Are perceptions of community safety associated with respiratory illness among a low-income, minority adult population?

Background

Growing evidence suggests social disadvantage magnifies the harmful health effects of environmental hazards; however, there is limited research related to perceptions of risk among individuals who live near such environmental hazard sites. We explored the association between individual-level perception of community safety and respiratory illness among low-income, minority adults who live in a region with routine poor air quality exacerbated by the emissions of a nearby freight railyard.

Methods

Interview-administered household surveys were collected (87% response rate; n = 965) in English/Spanish from varying distances surrounding a freight railyard (analytic total n = 792: nearest region n = 215, middle n = 289, farthest n = 288). Illness outcome was an affirmative response to doctor-diagnosed asthma, bronchial condition, emphysema, COPD, or prescribed-inhaler usage. Respiratory symptoms outcome was an affirmative response to chronic cough, chronic mucus, or wheezing. The independent variable was perceived community safety.

Results

Outcome prevalences were similar across environmental hazard regions; 205 (25.9%) were diagnosed-illness cases and 166 (21.0%) diagnosis-free participants reported symptoms. Nearly half (47.5%) of participants reported lack of perceived community safety, which was associated with environmental hazard region (p <  0.0001). In multivariable log-binomial regression models adjusting for covariables (age, gender, race/ethnicity, smoking status, smoke exposure, residential duration, and distance from the railyard) respiratory illness diagnosis was associated with lack of perceived community safety (PR = 1.39; 95% CI 1.09, 1.76). Sensitivity analyses showed a non-significant but increasing trend in the strength of association between safety perceptions and illness diagnoses with closer proximity to the railyard.

Conclusions

Our findings contribute to the literature that individuals’ perceptions of community safety are associated with adverse respiratory health among a population living in high air pollution exposure areas.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5933-4) contains supplementary material, which is available to authorized users.

Depression among Black Youth; Interaction of Class and Place

Although high socioeconomic status (SES) is traditionally conceptualized as a health protective factor, recent literature has documented positive associations between SES (e.g., income) and depression among Blacks, including Black youth. To extend the results of this recent literature, the current study used the Family and Community Health Study (FACHS) data to examine the multiplicative effects of gender, place, and SES on average depressive symptoms of Black youth over a long period of time. FACHS, 1997⁻2017, followed 889 Black children aged 10⁻12 years old for up to 18 years. Depressive symptoms were measured in seven waves. The main predictors of interest were two SES indicators, parent education and family income measured at baseline (1997). Main outcome of interest was average depressive symptoms over the 18 year follow up period. Place of residence and gender were the focal moderators. Linear regression models were used for data analysis. In the pooled sample, living in a predominantly White area was associated with higher average depressive symptoms over time, however, this association was fully explained by higher perceived racial discrimination in the predominantly White areas. We found an interaction between income and place of residence on average depressive symptoms, suggesting that higher income is associated with more depressive symptoms in predominantly White compared to predominantly Black areas. Place did not interact with parent education on average depressive symptoms. Gender also did not interact with education or income on depressive symptoms. Findings suggest that place and SES may interact on depressive symptoms of Black youth, with high income becoming a risk factor for depressive symptoms in predominantly White areas. How SES indicators, such as income, protect or become a risk factor depend on other contextual factors, such as place of residence. There is a need to reduce discrimination experienced by Blacks, especially in predominantly White areas. Meanwhile, Black youth who live in predominantly White areas may require additional help that enhances their coping.

Impact of individual and neighborhood factors on disparities in prostate cancer survival

BACKGROUND

We addressed the hypothesis that individual-level factors act jointly with social and built environment factors to influence overall survival for men with prostate cancer and contribute to racial/ethnic and socioeconomic (SES) survival disparities.

METHODS

We analyzed multi-level data, combining (1) individual-level data from the California Collaborative Prostate Cancer Study, a population-based study of non-Hispanic White (NHW), Hispanic, and African American prostate cancer cases (N = 1800) diagnosed from 1997 to 2003, with (2) data on neighborhood SES (nSES) and social and built environment factors from the California Neighborhoods Data System, and (3) data on tumor characteristics, treatment and follow-up through 2009 from the California Cancer Registry. Multivariable, stage-stratified Cox proportional hazards regression models with cluster adjustments were used to assess education and nSES main and joint effects on overall survival, before and after adjustment for social and built environment factors.

RESULTS

African American men had worse survival than NHW men, which was attenuated by nSES. Increased risk of death was associated with residence in lower SES neighborhoods (quintile 1 (lowest nSES) vs. 5: HR = 1.56, 95% CI: 1.11-2.19) and lower education (

CONCLUSION

Both individual- and contextual-level SES influence overall survival of men with prostate cancer. Additional research is needed to identify the mechanisms underlying these robust associations.

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Key Words

• Built environment
• Disparities
• Education
• Neighborhood socioeconomic status
• Prostate cancer
• Race/ethnicity
• Survival

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MESH Headings

• Black or African American
• Aged
• California
• Ethnicity
• Hispanic or Latino
• Humans
• Male
• Middle Aged
• Prostatic Neoplasms/epidemiology
• Racial Groups
• Registries
• Residence Characteristics
• Social Class
• Socioeconomic Factors
• White People

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Grants

• HHSN261201000035C NCI NIH HHS
• HHSN261201000035I NCI NIH HHS
• HHSN261201000034C NCI NIH HHS
• U58 DP003862 NCCDPHP CDC HHS
• HHSN261201000140C NCI NIH HHS
• R01 CA084979 NCI NIH HHS

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Affiliation(s)

Mindy C DeRouen Cancer Prevention Institute of California, Fremont, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
Clayton W Schupp Cancer Prevention Institute of California, Fremont, CA, USA
Jocelyn Koo Cancer Prevention Institute of California, Fremont, CA, USA
Juan Yang Cancer Prevention Institute of California, Fremont, CA, USA
Andrew Hertz Cancer Prevention Institute of California, Fremont, CA, USA
Salma Shariff-Marco Cancer Prevention Institute of California, Fremont, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Health Research Policy (Epidemiology), Stanford University School of Medicine, Stanford, CA, USA
Myles Cockburn Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
David O Nelson Cancer Prevention Institute of California, Fremont, CA, USA; Department of Health Research Policy (Epidemiology), Stanford University School of Medicine, Stanford, CA, USA
Sue A Ingles Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
Esther M John Cancer Prevention Institute of California, Fremont, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Health Research Policy (Epidemiology), Stanford University School of Medicine, Stanford, CA, USA
Scarlett L Gomez Cancer Prevention Institute of California, Fremont, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.

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Independent Effects of Neighborhood Poverty and Psychosocial Stress on Obesity Over Time

The objective of the study was to examine the independent effects of neighborhood poverty and psychosocial stress on increases in central adiposity over time. Data are from a community sample of 157 Non-Hispanic Black, Non-Hispanic White, and Hispanic adults collected in 2002-2003 and 2007-2008, and from the 2000 Decennial Census. The dependent variable was waist circumference. Independent variables included neighborhood poverty, perceived neighborhood physical environment, family stress, safety stress, everyday unfair treatment, and a cumulative stress index. Weighted 3-level hierarchical linear regression models for a continuous outcome were used to assess the effects of neighborhood poverty and psychosocial stress on central adiposity over time. We also assessed whether psychosocial stress mediated the association between neighborhood poverty and central adiposity. Neighborhood poverty and everyday unfair treatment at baseline were independently associated with increases in central adiposity over time, accounting for the other indicators of stress. Perceptions of the neighborhood physical environment and cumulative stress mediated associations between neighborhood poverty and central adiposity. Results suggest that residing in neighborhoods with higher concentrations of poverty and exposure to everyday unfair treatment independently heighten risk of increased central adiposity over time. Associations between neighborhood poverty and central adiposity were mediated by perceptions of the neighborhood physical environment and by the cumulative stress index. Public health strategies to reduce obesity should consider neighborhood poverty and exposure to multiple sources of psychosocial stress, including everyday unfair treatment.

Food Melt in Consumer Food Environments in Low-income Urban Neighborhoods

OBJECTIVES

We systematically evaluated changes in availability, price, and quality of perishable food items from the beginning to the end of the month in lowincome, urban neighborhoods.

METHODS

The sample included grocery stores or supermarkets in Cleveland, Ohio, within neighborhoods with >30% of population receiving food assistance. We collected data for 2 sequential months during the first and fourth weeks of each month. Two coders evaluated stores, collecting measures of availability, price, and quality for 50 items. We examined difference in number and proportion of items available at the beginning of the month (BOM) to items remaining available at the end of the month (EOM), as well as quality and price of those items.

RESULTS

Across 48 stores, availability at EOM was lower than BOM; as store size increased, reduction in availability (ie, food melt) was significantly (p < .01) less pronounced. Overall, items became less expensive at the EOM whereas quality remained consistent; we noted no statistically significant differences by store type for price or quality.

CONCLUSIONS

Food melt differentially affects individuals in neighborhoods without grocery stores. Findings reveal composition of food environments is dynamic rather than static, influencing food-purchasing choices among lowincome consumers.

Landscape care of urban vacant properties and implications for health and safety: Lessons from photovoice

Care of vacant properties in urban environments is of particular interest to planners and residents alike. We report on a photovoice project completed by community leaders, researchers, and residents in two Detroit neighborhoods experiencing longtime systemic disinvestment. Participants photographed and discussed examples of care in a series of three focus groups in each neighborhood. Analyses highlight how acts of landscape care and visible cues to care contribute to changes in physical and social environments, and explore various links to health. We suggest theoretical and practical applications of residents' perspectives on landscape care and identify implications for well-being and neighborhood stability.

Are the poverty histories of neighbourhoods associated with psychosocial well-being among a representative sample of California mothers? An observational study

BACKGROUND

We examine the association between the poverty histories of neighbourhoods and three indicators of psychosocial well-being-depressive symptoms, sense of control and number of stressors-in an observational study of mothers of young children in California. We also consider if length of residence in a neighbourhood moderates the association between neighbourhood poverty history and psychosocial well-being.

METHODS

Data come from the Geographic Research on Well-being (GROW) Study, a subsample of mothers who completed the population-based California Maternal and Infant Health Assessment in 2003-2007 and were reinterviewed in 2012-2013. Poverty histories of neighbourhoods were constructed using the Neighbourhood Change Database (1970-2000) and American Community Survey (2005-2009). The analytic sample included 2726 women from GROW residing in 1906 census tracts.

RESULTS

Adjusting for individual socioeconomic and demographic characteristics, women living in neighbourhoods where poverty decreased over the 40-year period had lower odds of depressive symptoms and a greater sense of control than women living in long-term, low-poverty neighbourhoods. Women living in long-term high-poverty neighbourhoods or in neighbourhoods where poverty increased over the 40-year period reported lower sense of control than women living in long-term, low-poverty neighbourhoods and these effects were modified by length of time living in the neighbourhood. No significant effects of neighbourhood poverty histories were found for number of stressors.

CONCLUSIONS

Policies aimed at reducing neighbourhood poverty may improve mothers' psychosocial well-being.

Inter-relationships between objective and subjective measures of the residential environment among urban African American women

PURPOSE

The inter-relationships between objective (census based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations.

METHODS

Using data from the Life Influences on Fetal Environments Study (2009-2011; n = 1387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety, and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI). Two-level generalized linear models estimated associations between objective and subjective measures of the residential environment, accounting for individual-level covariates.

RESULTS

In unconditional models, intraclass correlation coefficients for block-group variance in subjective reports ranged from 11% (healthy food availability) to 30% (safety). Models accounting for the NDI (vs. both NDI and individual-level covariates) accounted for more variance in healthy food availability (23% vs. 8%) and social disorder (40% vs. 38%). The NDI and individual-level variables accounted for 39% and 51% of the area-level variation in walkability and safety, respectively. Associations between subjective and objective measures of the residential environment were significant and in the expected direction.

CONCLUSIONS

Future studies on neighborhood effects on health, especially among AAs, should include a wide range of residential environment measures, including subjective, objective, and spatial contextual variables.

Neighborhood Conditions and Psychosocial Outcomes Among Middle-Aged African Americans

OBJECTIVE

We examined associations between observed neighborhood conditions (good/adverse) and psychosocial outcomes (stress, depressive symptoms, resilience, and sense of control) among middle-aged and older African Americans.

METHODS

The sample included 455 middle-aged and older African Americans examined in Wave 10 of the African American Health (AAH) study. Linear regression was adjusted for attrition, self-selection into neighborhoods, and potential confounders, and stratified by the duration at current address (<5 vs ≥5 years) because of its hypothesized role as an effect modifier.

RESULTS

Among individuals who lived at their current address for ≥5 years, residing in neighborhoods with adverse versus good conditions was associated with significantly less stress (standardized β = -0.18; P = .002) and depressive symptoms (standardized β = -0.12; P = .048). Among those who lived at their current address for <5 years, residing in neighborhoods with adverse versus good conditions was not significantly associated with stress (standardized β = 0.18; P = .305) or depressive symptoms (standardized β = 0.36; P = .080).

CONCLUSION

Neighborhood conditions appear to have significant, complex associations with psychosocial factors among middle-aged and older African Americans. This holds important policy implications, especially since adverse neighborhood conditions may still result in adverse physical health outcomes in individuals with >5 years at current residence despite being associated with better psychosocial outcomes.

Residential Instability, Family Support, and Parent-Child Relationships Among Ethnically Diverse Urban Families

From a social disorganization standpoint, neighborhood residential instability potentially brings negative consequences to parent-child relationship qualities, but family social support and racial/ethnic identity may modify this association. Using data (n = 3,116) from the Project on Human Development in Chicago Neighborhoods, this study examines associations between neighborhood residential instability and parent-child warmth and conflict, whether family social support moderates associations between residential instability and parent-child relationships, and variation by race/ethnicity. Multilevel models reveal that residential instability undermines parent-child relationship qualities, particularly for non-White individuals. Family support is a protective factor for families in less stable neighborhoods, and specifically buffers the association between neighborhood residential instability and reduced parent-child warmth. Among Hispanics, family support mitigates the association between residential instability and heightened parent-child conflict. Findings highlight residential instability as a detriment to parent-child relationships; families in unstable neighborhoods may benefit from family social support.

The health effects of the foreclosure crisis and unaffordable housing: A systematic review and explanation of evidence

The foreclosure crisis was detrimental to the financial well-being of many households, yet the non-economic consequences are still poorly understood. This systematic review aims to understand the direct and spillover effect of foreclosures on several health-related outcomes by synthesizing evidence from 40 studies. First, this study identifies research gaps using a schema to organize studies by line of inquiry, health-related outcome, and measure of homeowner financial distress. In order to provide context for the findings, four pathways - stress, effect-budgeting, frustration-aggression, and trust - evoked in the literature are described to explain the relationship between foreclosures and health. The research suggests that experiencing a foreclosure and living near foreclosures are associated with poor psychological and behavioral morbidities, namely anxiety and violent behavior, and declining health utilization. Evidence is sparse on suicide, substance abuse, somatic morbidities, and mortality. Future research is needed to fill the gaps and explicitly test the mechanisms proposed.

Community Level Correlates of Low Birthweight Among African American, Hispanic and White Women in California

OBJECTIVES

Racial and ethnic groups in the US exhibit major differences in low birthweight (LBW) rates. While previous studies have shown that community level social indicators associated with LBW vary by race and ethnicity, it is not known whether these differences exist among racial or ethnic groups who live in the same neighborhood or community. To address this question, we examined the association of community level features with LBW among African American, White and Hispanic women who live in similar geographic areas.

METHODS

The analysis is based on geocoded birth certificates for all singleton live births in the year 2000 to women residing in 805 California ZIP codes. Community level social and demographic data were obtained from U.S. Census data files for the year 2000 and surrogate indices of population level alcohol and drug abuse and dependence were derived from hospital discharge data (HDD). Tobit and bootstrap analyses were used to test associations with birth outcomes, maternal characteristics, and community level social and demographic features within and across the three groups of women living in similar geographic areas.

RESULTS

The results demonstrate major racial and ethnic differences in community level correlates of LBW. Rates of LBW among African Americans were lower if they lived in areas that were more densely populated, had greater income disparities, were more racially segregated, and had low rates of alcohol abuse or dependence. These associations were different or absent for Hispanic and White women.

CONCLUSIONS FOR PRACTICE

The results suggest that despite living in the same areas, major differences in neighborhood features and social processes are linked to birth outcomes of African American women compared to Hispanic and White women. Further research, especially using multilevel approaches, is needed to precisely identify these differences to help reduce racial and ethnic disparities in LBW.

Stress resilience and subsequent risk of type 2 diabetes in 1.5 million young men

AIMS/HYPOTHESIS

Psychosocial stress in adulthood is associated with a higher risk of type 2 diabetes, possibly mediated by behavioural and physiological factors. However, it is unknown whether low stress resilience earlier in life is related to subsequent development of type 2 diabetes. We examined whether low stress resilience in late adolescence is associated with an increased risk of type 2 diabetes in adulthood.

METHODS

We conducted a national cohort study of all 1,534,425 military conscripts in Sweden during 1969-1997 (97-98% of all 18-year-old men nationwide each year) without prior diagnosis of diabetes, who underwent standardised psychological assessment for stress resilience (on a scale of 1-9) and were followed up for type 2 diabetes identified from outpatient and inpatient diagnoses during 1987-2012 (maximum attained age 62 years).

RESULTS

There were 34,008 men diagnosed with type 2 diabetes in 39.4 million person-years of follow-up. Low stress resilience was associated with an increased risk of developing type 2 diabetes after adjusting for BMI, family history of diabetes, and individual and neighbourhood socioeconomic factors (HR for lowest vs highest quintile: 1.51; 95% CI 1.46, 1.57; p < 0.0001), including a strong linear trend across the full range of stress resilience (p trend < 0.0001). This association did not vary by BMI level, family history of diabetes or socioeconomic factors.

CONCLUSIONS/INTERPRETATION

These findings suggest that low stress resilience may play an important long-term role in aetiological pathways for type 2 diabetes. Further elucidation of the underlying causal factors may help inform more effective preventive interventions across the lifespan.

Low stress resilience in late adolescence and risk of hypertension in adulthood

OBJECTIVE

Greater blood pressure reactivity to psychological stress has been associated with higher risk of developing hypertension. We hypothesised that low stress resilience based on psychological assessment early in life is associated with hypertension in adulthood.

METHODS

National cohort study of 1,547,182 military conscripts in Sweden during 1969-1997 (97-98% of all 18-year-old males) without prior history of hypertension, who underwent standardised psychological assessment by trained psychologists for stress resilience (1-9 scale), and were followed up for hypertension identified from outpatient and inpatient diagnoses during 1969-2012 (maximum age 62).

RESULTS

93,028 men were diagnosed with hypertension in 39.4 million person-years of follow-up. Adjusting for body mass index (BMI), family history and socioeconomic factors, low stress resilience at age 18 was associated with increased risk of hypertension in adulthood (lowest vs highest quintile: HR 1.43; 95% CI 1.40 to 1.46; p < 0.001; incidence rates, 278.7 vs 180.0 per 100,000 person-years), including a strong linear trend across the full range of stress resilience (p(trend) < 0.0001). We also found a positive additive interaction between stress resilience and BMI (p < 0.001), indicating that low stress resilience accounted for more hypertension cases among those with high BMI. Men with a combination of low stress resilience and high BMI had a more than threefold risk of hypertension.

CONCLUSIONS

These findings suggest that low stress resilience may contribute to etiological pathways for hypertension and accounts for more cases among those with high BMI. If confirmed, this knowledge may help inform better preventive interventions by addressing psychosocial risk factors and stress management across the lifespan.

The Effect of Microneighborhood Conditions on Adult Educational Attainment in a Subsidized Housing Intervention

The ACHIEVEability model of affordable housing aims to promote self-sufficiency by requiring enrollment in postsecondary education in exchange for subsidized housing. In this study, we exploit the quasi random assignment of ACHIEVEability participants (N = 84) to subsidized housing units to evaluate whether microneighborhood environments moderated participants' progress in postsecondary education. Participants progressed in their educational pursuits in line with program requirements, earning about 12 college credits per year. Neighborhood block group characteristics moderated this progress. Participants who were assigned to housing located in poorer, more violent, and less educated block groups earned credits at a significantly slower rate than participants assigned housing in more advantaged block groups. Our results suggest that the micro environments immediately surrounding residents of subsidized housing matter, even if they are situated within broader contexts of spatial and personal disadvantage.

Multiple pathways from the neighborhood food environment to increased body mass index through dietary behaviors: A structural equation-based analysis in the CARDIA study

OBJECTIVES

To examine longitudinal pathways from multiple types of neighborhood restaurants and food stores to BMI, through dietary behaviors.

METHODS

We used data from participants (n=5114) in the United States-based Coronary Artery Risk Development in Young Adults study and a structural equation model to estimate longitudinal (1985-86 to 2005-06) pathways simultaneously from neighborhood fast food restaurants, sit-down restaurants, supermarkets, and convenience stores to BMI through dietary behaviors, controlling for socioeconomic status (SES) and physical activity.

RESULTS

Higher numbers of neighborhood fast food restaurants and lower numbers of sit-down restaurants were associated with higher consumption of an obesogenic fast food-type diet. The pathways from food stores to BMI through diet were inconsistent in magnitude and statistical significance.

CONCLUSIONS

Efforts to decrease the numbers of neighborhood fast food restaurants and to increase the numbers of sit-down restaurant options could influence diet behaviors. Availability of neighborhood fast food and sit-down restaurants may play comparatively stronger roles than food stores in shaping dietary behaviors and BMI.

Race-Ethnicity, Poverty, Urban Stressors, and Telomere Length in a Detroit Community-based Sample

Residents of distressed urban areas suffer early aging-related disease and excess mortality. Using a community-based participatory research approach in a collaboration between social researchers and cellular biologists, we collected a unique data set of 239 black, white, or Mexican adults from a stratified, multistage probability sample of three Detroit neighborhoods. We drew venous blood and measured telomere length (TL), an indicator of stress-mediated biological aging, linking respondents' TL to their community survey responses. We regressed TL on socioeconomic, psychosocial, neighborhood, and behavioral stressors, hypothesizing and finding an interaction between poverty and racial-ethnic group. Poor whites had shorter TL than nonpoor whites; poor and nonpoor blacks had equivalent TL; and poor Mexicans had longer TL than nonpoor Mexicans. Findings suggest unobserved heterogeneity bias is an important threat to the validity of estimates of TL differences by race-ethnicity. They point to health impacts of social identity as contingent, the products of structurally rooted biopsychosocial processes.

Hispanic residential ethnic density and depression in post-acute coronary syndrome patients: Re-thinking the role of social support

BACKGROUND

The ethnic density hypothesis suggests that ethnic density confers greater social support and consequently protects against depressive symptoms in ethnic minority individuals. However, the potential benefits of ethnic density have not been examined in individuals who are facing a specific and salient life stressor.

AIMS

We examined the degree to which the effects of Hispanic ethnic density on depressive symptoms are explained by socioeconomic resources and social support.

METHODS

Patients with acute coronary syndrome (ACS, N = 472) completed the Beck Depression Inventory (BDI) and measures of demographics, ACS clinical factors and perceived social support. Neighborhood characteristics, including median income, number of single parent households and Hispanic ethnic density, were extracted from the American Community Survey Census (2005-2009) for each patient using his or her geocoded address.

RESULTS

In a linear regression analysis adjusted for demographic and clinical factors, Hispanic ethnic density was positively associated with depressive symptoms (β = .09, standard error (SE) = .04, p = .03). However, Hispanic density was no longer a significant predictor of depressive symptoms when neighborhood characteristics were controlled. The relationship of Hispanic density on depressive symptoms was moderated by nativity status. Among US-born patients with ACS, there was a significant positive relationship between Hispanic density and depressive symptoms and social support significantly mediated this effect. There was no observed effect of Hispanic density to depressive symptoms for foreign-born ACS patients.

CONCLUSION

Although previous research suggests that ethnic density may be protective against depression, our data suggest that among patients with ACS, living in a community with a high concentration of Hispanic individuals is associated with constrained social and economic resources that are themselves associated with greater depressive symptoms. These data add to a growing body of literature on the effects of racial or ethnic segregation on health outcomes.

Neighborhood environment perceptions and the likelihood of smoking and alcohol use

Neighborhood characteristics are important correlates for a variety of health outcomes. Among several health risk behaviors, smoking and alcohol use have significant consequences. Perceptions of neighborhood problems are associated with depressive symptoms, lower physical activity, and lower quality of life. However, it is unclear which perceived aspects of neighborhoods might be related to smoking and drinking. We examined whether perceived neighborhood characteristics were associated with smoking and drinking patterns using data from US metropolitan Midwestern area adults. Participants completed surveys including sociodemographic characteristics, neighborhood perceptions, behavioral and psychological health. For men, negative perceptions of neighborhood infrastructures were significant predictors for smoking and binge drinking. Among women, no perceived environmental factors were associated with smoking or drinking. However, education was a significant negative predictor for smoking. As age increased, the likelihood of using cigarettes, heavy and binge drinking in women decreased significantly. Depression was a positive predictor for smoking and heavy drinking in men and women, respectively. These findings indicate that the perceived neighborhood infrastructure was predictive of health behaviors among men, even after adjusting for key confounders. Closer attention may need to be paid to the role of neighborhood environmental characteristics along with individual-level characteristics in influencing unhealthy behaviors.

Does territoriality modify the relationship between perceived neighborhood challenges and physical activity? A multilevel analysis

PURPOSE

Individuals who perceive more neighborhood challenges are less physically active. Territoriality, an observable positive marker of social presence and defensible space in the neighborhood, may influence the association between neighborhood challenges and physical activity (PA). We hypothesized that greater territoriality would reduce the negative effects of neighborhood challenges on PA levels.

METHODS

Data were collected by the Healthy Environments Partnership in an urban Midwestern city. Multilevel regressions were used to test associations in a sample of 696 white, black, and Hispanic adults older than 25 years.

RESULTS

Territoriality moderated associations between residents' perceptions of neighborhood challenges and PA. Contrary to our hypothesis, individuals who perceived more neighborhood challenges and lived in areas with more territoriality markers (e.g., buildings with decorations, buildings with security signage, and neighborhood watch signs) were less physically active than other respondents (b = -2.41, standard error = 0.84, P < .01).

CONCLUSIONS

Our findings suggest that associations between perceived neighborhood challenges and PA are shaped by the context in which the individual lives. Our study provides empirical evidence that individual perceptions and observed neighborhood characteristics are joint contributors to PA and suggest the need for continued research to characterize the complexity of individual and contextual factors that contribute to PA.

Social stressors and air pollution across New York City communities: a spatial approach for assessing correlations among multiple exposures

BACKGROUND

Recent toxicological and epidemiological evidence suggests that chronic psychosocial stress may modify pollution effects on health. Thus, there is increasing interest in refined methods for assessing and incorporating non-chemical exposures, including social stressors, into environmental health research, towards identifying whether and how psychosocial stress interacts with chemical exposures to influence health and health disparities. We present a flexible, GIS-based approach for examining spatial patterns within and among a range of social stressors, and their spatial relationships with air pollution, across New York City, towards understanding their combined effects on health.

METHODS

We identified a wide suite of administrative indicators of community-level social stressors (2008-2010), and applied simultaneous autoregressive models and factor analysis to characterize spatial correlations among social stressors, and between social stressors and air pollutants, using New York City Community Air Survey (NYCCAS) data (2008-2009). Finally, we provide an exploratory ecologic analysis evaluating possible modification of the relationship between nitrogen dioxide (NO2) and childhood asthma Emergency Department (ED) visit rates by social stressors, to demonstrate how the methods used to assess stressor exposure (and/or consequent psychosocial stress) may alter model results.

RESULTS

Administrative indicators of a range of social stressors (e.g., high crime rate, residential crowding rate) were not consistently correlated (rho = - 0.44 to 0.89), nor were they consistently correlated with indicators of socioeconomic position (rho = - 0.54 to 0.89). Factor analysis using 26 stressor indicators suggested geographically distinct patterns of social stressors, characterized by three factors: violent crime and physical disorder, crowding and poor access to resources, and noise disruption and property crimes. In an exploratory ecologic analysis, these factors were differentially associated with area-average NO2 and childhood asthma ED visits. For example, only the 'violent crime and disorder' factor was significantly associated with asthma ED visits, and only the 'crowding and resource access' factor modified the association between area-level NO2 and asthma ED visits.

CONCLUSIONS

This spatial approach enabled quantification of complex spatial patterning and confounding between chemical and non-chemical exposures, and can inform study design for epidemiological studies of separate and combined effects of multiple urban exposures.

Purpose in Life as a Resource for Increasing Comfort With Ethnic Diversity

Emerging demographic trends signal that White Americans will soon relinquish their majority status. As Whites’ acclimation to an increasingly diverse society is poised to figure prominently in their adjustment, identifying sources of greater comfort with diversity is important. Three studies ( N = 519) revealed evidence that purpose in life bolsters comfort with ethnic diversity among White adults. Specifically, dispositional purpose was positively related to diversity attitudes and attenuated feelings of threat resulting from viewing demographic projections of greater diversity. In addition, when primed experimentally, purpose attenuated participants’ preferences for living in an ethnically homogeneous-White city, relative to a more diverse city when shown maps displaying ethno-demographic information. These effects persisted after controlling for positive affect and perceived connections to ethnic out-groups, suggesting the robust influence of purpose. Potential benefits of situating purpose as a unique resource for navigating an increasingly diverse society are discussed.

Stochastic variability in stress, sleep duration, and sleep quality across the distribution of body mass index: insights from quantile regression

BACKGROUND

Obesity has become a problem in the USA and identifying modifiable factors at the individual level may help to address this public health concern. A burgeoning literature has suggested that sleep and stress may be associated with obesity; however, little is know about whether these two factors moderate each other and even less is known about whether their impacts on obesity differ by gender.

PURPOSE

This study investigates whether sleep and stress are associated with body mass index (BMI) respectively, explores whether the combination of stress and sleep is also related to BMI, and demonstrates how these associations vary across the distribution of BMI values.

METHODS

We analyze the data from 3,318 men and 6,689 women in the Philadelphia area using quantile regression (QR) to evaluate the relationships between sleep, stress, and obesity by gender.

RESULTS

Our substantive findings include: (1) high and/or extreme stress were related to roughly an increase of 1.2 in BMI after accounting for other covariates; (2) the pathways linking sleep and BMI differed by gender, with BMI for men increasing by 0.77-1 units with reduced sleep duration and BMI for women declining by 0.12 unit with 1 unit increase in sleep quality; (3) stress- and sleep-related variables were confounded, but there was little evidence for moderation between these two; (4) the QR results demonstrate that the association between high and/or extreme stress to BMI varied stochastically across the distribution of BMI values, with an upward trend, suggesting that stress played a more important role among adults with higher BMI (i.e., BMI > 26 for both genders); and (5) the QR plots of sleep-related variables show similar patterns, with stronger effects on BMI at the upper end of BMI distribution.

CONCLUSIONS

Our findings suggested that sleep and stress were two seemingly independent predictors for BMI and their relationships with BMI were not constant across the BMI distribution.

The Relationship Between Multiple Forms of Discrimination, Neighborhood Characteristics, and Depression Among Illicit Drug Users in New York City

It is plausible that features of the social environment combined with experiences of discrimination may help further explain experiences of depression among illicit drug users. We examined the influence of census tract-level characteristics and multiple forms of individual-level discrimination on lifetime depression among illicit drug users in New York City enrolled in the "Social Ties Associated With Risk of Transition" study. Population average models accounted for clustering of individuals within census tracts. Discrimination based on prior incarceration explained Hispanic/White differences in depression and was independently associated with depression after accounting for neighborhood characteristics. Neighborhood poverty was only marginally related to lifetime depression. These data provide evidence supporting the influence of discrimination on depression among drug users. Research is needed to confirm these findings and highlight specific mechanisms through which discrimination and neighborhood socioeconomic status may operate to influence mental health.

Association of race consciousness with the patient-physician relationship, medication adherence, and blood pressure in urban primary care patients

BACKGROUND

Race consciousness (the frequency with which one thinks about his or her own race) is a measure that may be useful in assessing whether racial discrimination negatively impacts blood pressure (BP). However, the relation between race consciousness and BP has yet to be empirically tested, especially within the context of the patient-physician relationship and medication adherence.

METHODS

Race-stratified generalized estimating equations were used to assess the relationship of race consciousness on BP, measures of the patient-physician relationship, and self-reported medication adherence, controlling for patients being nested within physicians and for patient age and sex.

RESULTS

The mean age of the patients was 61.3 years, 62% were black, and 65% were women. Black patients were more likely to ever think about race than were white patients (49% vs. 21%; P < 0.001). Race-conscious blacks had significantly higher diastolic BP (79.4 vs. 74.5 mm Hg; P = 0.004) and somewhat higher systolic BP (138.8 vs. 134.7 mm Hg; P = 0.13) than blacks who were not race conscious. Race-conscious whites were more likely to perceive respect from their physician (57.1% vs. 25.8%; P = 0.01) but had lower medication adherence (62.4% vs. 82.9%; P = 0.05) than whites who were not race-conscious.

CONCLUSIONS

Among blacks, race consciousness was associated with higher diastolic BP. In contrast, among whites, there was no association between race consciousness and BP, but race consciousness was associated with poor ratings of adherence, despite more favorable ratings of the patient-physician relationship. Future work should explore disparities in race consciousness and its impact on health and health-care disparities.

Stress during pregnancy: the role of institutional racism

Institutional racism, also known as structural racism, can be defined as differential access to resources and opportunities by race as well as policies, laws, and practices that reinforce racial inequity. This study examines how institutional racism in the form of residential redlining (neighbourhood-level racial inequities in mortgage lending) and segregation (geographic separation of groups by race) is associated with self-reported stress among a diverse cohort of pregnant women. Institutional racism was measured by a residential redlining index using Home Mortgage Disclosure Act data and residential segregation using 2000 US Census data. These redlining and segregation indices were linked with data from a pregnancy cohort study (n = 4652), which included individual measures of reported stress. We ran multilevel linear regression models to examine the association between redlining, segregation and reported stress. Hispanic women compared with all other women were slightly more likely to report stress. There was no significant relationship between redlining and stress among this population. However, higher neighbourhood percentage black was inversely associated with stress. This study suggests that some forms of segregation may be associated with reported stress. Future studies should consider how redlining and segregation may provide an understanding of how institutional racism and the neighbourhood context may influence stress and health of populations.

Do observed or perceived characteristics of the neighborhood environment mediate associations between neighborhood poverty and cumulative biological risk?

OBJECTIVE

To examine contributions of observed and perceived neighborhood characteristics in explaining associations between neighborhood poverty and cumulative biological risk (CBR) in an urban community.

METHODS

Multilevel regression analyses were conducted using cross-sectional data from a probability sample survey (n=919), and observational and census data. Dependent variable: CBR.

INDEPENDENT VARIABLES

neighborhood disorder, deterioration and characteristics; perceived neighborhood social environment, physical environment, and neighborhood environment. Covariates: neighborhood and individual demographics, health-related behaviors.

RESULTS

Observed and perceived indicators of neighborhood conditions were significantly associated with CBR, after accounting for both neighborhood and individual level socioeconomic indicators. Observed and perceived neighborhood environmental conditions mediated associations between neighborhood poverty and CBR.

CONCLUSIONS

Findings were consistent with the hypothesis that neighborhood conditions associated with economic divestment mediate associations between neighborhood poverty and CBR.