Dataset Information

Neighborhood Environment and Health of Injured Urban Black Men.

ABSTRACT: Introduction:Urban black males are at disproportionately high risk of poor health outcomes; thus, we need to measure neighborhood environments appropriately in order to understand aspects of neighborhoods that influence their mental and physical health. We explored associations between physical and mental health of injured, urban black men with objectively measured and perceived neighborhood characteristics.

Methods:In 2017-2018, we analyzed data from 486 black, adult males in Philadelphia admitted to a trauma center with injury between January 2013 and February 2017. Area-level measures of social, economic, and built environments were obtained from multiple sources. At enrollment, participants answered questions about neighborhood environment and self-reported physical and mental health 30 days before injury. We conducted factor analysis to identify neighborhood characteristics, then estimated odds of poor physical or mental health, accounting for spatial correlation of participants.

Results:Poor physical and mental health was reported by 12% and 22% of participants, respectively. In participants' neighborhoods, 29% of adults lived in poverty. Individually, 73% of men reported abandoned buildings, and 31% reported not feeling safe walking around their neighborhood. Physical health was associated with neighborhood poverty and disconnectedness. Mental health was associated with neighborhood economics and individual perceptions of social disorder and safety. Individual-level factors were not correlated with area-level factors.

Conclusions:We found both area-level and individual-level measures were associated with health, perhaps operating through different mechanisms, but individual experiences may not be easily extrapolated from area-level data. By identifying important components of neighborhood environments, we may better understand how neighborhoods contribute to health in vulnerable populations.

SUBMITTER: Palumbo AJ

PROVIDER: S-EPMC6834337 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Neighborhood Environment and Health of Injured Urban Black Men.

Palumbo Aimee J AJ Wiebe Douglas J DJ Kassam-Adams Nancy N Richmond Therese S TS

Journal of racial and ethnic health disparities 20190627 6

<h4>Introduction</h4>Urban black males are at disproportionately high risk of poor health outcomes; thus, we need to measure neighborhood environments appropriately in order to understand aspects of neighborhoods that influence their mental and physical health. We explored associations between physical and mental health of injured, urban black men with objectively measured and perceived neighborhood characteristics.<h4>Methods</h4>In 2017-2018, we analyzed data from 486 black, adult males in Phi ...[more]

PMID: 31250370

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Project description:IntroductionNeighborhood 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 methodsThe 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.ResultsIn 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%).DiscussionUtilizing 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.

Project description:PurposeHispanic/Latino adults on the Texas-Mexico border have high rates of chronic disease. Neighborhoods can influence health, though there is a limited research on neighborhood environment and health in Hispanics/Latinos. The purpose of this study was to assess the relation of neighborhood environment with health variables in Hispanic/Latino adults, including physical activity [PA], depression, anxiety, and lab-assessed conditions (type 2 diabetes, metabolic syndrome, and chronic inflammation).MethodsParticipants were randomly-selected from a Hispanic/Latino cohort on the Texas-Mexico border. Neighborhood environment, self-reported PA, anxiety, and depression were assessed through questionnaires. Laboratory values determined Type 2 diabetes, metabolic syndrome, and C-reactive protein (CRP). We conducted multivariable linear and logistic regression analyses to assess the associations of neighborhood environment and health variables, controlling for covariates.ResultsParticipants (n = 495) were mostly females, without insurance. After controlling for covariates, crime (Adjusted Odds Ratio [AOR] = 1.59 (95%CI 1.06-2.38), no streetlights (AOR = 1.65, 95%CI 1.06-2.57), and traffic (AOR = 1.74, 95%CI 1.16-2.62) were all significantly associated with anxiety. Only traffic was significantly associated with depression (AOR = 1.61, 95%CI1.05-2.47). A lack of nearby shops (AOR = 0.57, 95%CI 0.38-0.84) and no one out doing PA (AOR = 0.53, 95% CI 0.34-0.83) were both significantly associated with lower odds of meeting PA guidelines. A lack of nearby shops was associated with a 26% increase in the CRP value (β = 0.26, 95%CI 0.04-0.47).DiscussionSeveral neighborhood environment variables were significantly associated with mental health, PA and CRP, though estimates were small. The neighborhood environment is a meaningful contextual variable to consider for health-related interventions in Hispanic/Latino adults, though more study is needed regarding the magnitude of the estimates.Trial registrationNCT01168765.

Project description:INTRODUCTION:Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual health behaviors on mortality in a cohort primarily comprising people with low individual-level SES. METHODS:The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002-2009; 55% of participants had a household income <$15,000 at baseline interview. Mortality from cancer (n=2,471), cardiovascular diseases (n=3,005), and all-causes (n=10,099) was identified from the National Death Index through December 31, 2013 (median follow-up, 8 years). Data were analyzed in 2016 and 2017. Associations were assessed between mortality, a neighborhood deprivation index composed of 11 census tract-level variables, five health behaviors, and a composite healthy lifestyle score. RESULTS:Living in a neighborhood with the greatest socioeconomic disadvantage was associated with higher all-cause mortality in both men (hazard ratio=1.41, 95% CI=1.27, 1.57) and women (hazard ratio=1.77, 95% CI=1.57, 2.00). Associations were attenuated after adjustment for individual-level SES and major risk factors (hazard ratio for men=1.09, 95% CI=0.98, 1.22, and hazard ratio for women=1.26, 95% CI=1.12, 1.42). The dose-response association between neighborhood disadvantage and mortality was less apparent among smokers. Nevertheless, individuals who lived in disadvantaged neighborhoods and had the unhealthiest lifestyle scores experienced the highest mortality. CONCLUSIONS:Disadvantaged neighborhood socioeconomic environments are associated with increased mortality in a cohort of individuals of low SES. Positive individual-level health behaviors may help negate the adverse effect of disadvantage on mortality.

Project description:BackgroundThe VHA is the largest integrated US health system and is increasingly moving care into the communities where veterans reside. Veterans who utilize the VA for their care have worse health status than the general population. However, there is limited evidence about the association of neighborhood environment and health outcomes among veterans.ObjectivesThe primary aim of this study is to assess the relative contribution of neighborhood environment, health system, and individual characteristics to health status and mortality of veterans.MethodsInformation on personal socio-economic indicators, existing medical conditions and health status were obtained from baseline data from a multi-site, randomized trial of primary care patients (n = 15,889). The physical component scale (PCS) and mental component scale (MCS) summarized health status. Census tracts were used as proxies for neighborhoods. A summary score based on census tract data characterized the neighborhood socio-economic environment and walkability. Data were analyzed with multilevel hierarchical models. Analyses of health status were cross-sectional. Mortality analyses were longitudinal as participants were followed for an average of 722.5 days to ascertain vital status.ResultsNeighborhood SES was associated with PCS and MCS scores, controlling for individual socio-economic status, self-reported co-morbid disease, smoking status, and health care access. In the lowest versus highest quartiles of neighborhood SES, adjusted PCS scores were 34.4 vs. 35.4 (p < 0.05) and adjusted MCS scores were 46.2 versus 47.0 (p < 0.05). PCS score was also significantly associated with neighborhood walkability (p < 0.05). Mortality was lower for veterans living in neighborhoods with the highest decile neighborhood SES (HR 0.78, highest vs. lowest decile 95% CI 0.63, 0.97).ConclusionsVeterans living in lower SES neighborhoods have poorer health status and a higher risk of mortality, independent of individual characteristics and health care access. Neighborhood walkability was associated with higher PCS scores.

Dataset Information

Neighborhood Environment and Health of Injured Urban Black Men.

Publications

Neighborhood Environment and Health of Injured Urban Black Men.

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