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Racial health inequities are not fully explained by socioeconomic status (SES) measures like education, income and wealth. The largest inequities are observed among African American and white college graduates suggesting that African Americans do not receive the same health benefits of education. African Americans do not receive the same income and wealth returns of college education as their white counterparts indicating a racial non-equivalence of SES that may affect health inequities. The aim of this study is to determine whether racial non-equivalence of SES mediates race inequities in self-rated health by education and sex. Using data from the 2007–2016 National Health and Nutrition Examination Survey in the United States, the mediation of the associations between race and self-rated health through household income ≥400% federal poverty line, homeownership, and investment income were assessed among college graduates and non-college graduates by sex. Indirect associations were observed among college graduate women (odds = 0.08, standard error (s.e.) = 0.03), and non-college graduate men (odds = 0.14, s.e. = 0.02) and women (odds = 0.06, s.e. = 0.02). Direct associations between race and self-rated health remained after accounting for household income and wealth indicators suggesting that race differences in income and wealth partially mediate racial inequities in self-rated health. This study demonstrates that the racial non-equivalence of SES has implications for health inequities, but the magnitude of indirect associations varied by sex. Other factors like discrimination, health pessimism and segregation should be considered in light of the racial non-equivalence of SES and racial inequities in self-rated health.

Background Knowledge of HIV risk factors and reduction strategies is essential for prevention in key populations such as men who have sex with men (MSM) and transgender women (TGW). We evaluated factors associated with HIV-related knowledge among MSM and TGW and the impact of engagement in care at trusted community health centers in Nigeria. Methods The TRUST/RV368 cohort recruited MSM and TGW in Lagos and Abuja, Nigeria via respondent driven sampling. During study visits every three months, participants underwent structured interviews to collect behavioral data, received HIV education, and were provided free condoms and condom compatible lubricants. Five HIV-related knowledge questions were asked at enrollment and repeated after 9 and 15 months. The mean number of correct responses was calculated for each visit with 95% confidence intervals (CIs). Multivariable Poisson regression was used to calculate adjusted risk ratios and CIs for factors associated with answering more knowledge questions correctly. Results From March 2013 to April 2018, 2122 persons assigned male sex at birth were enrolled, including 234 TGW (11.2%). The mean number of correct responses at enrollment was 2.36 (95% CI: 2.31–2.41) and increased to 2.95 (95% CI: 2.86–3.04) and 3.06 (95% CI: 2.97–3.16) after 9 and 15 months in the study, respectively. Among 534 participants who completed all three HIV-related knowledge assessments, mean number of correct responses rose from 2.70 (95% CI: 2.60–2.80) to 3.02 (95% CI: 2.93–3.13) and then 3.06 (95% CI: 2.96–3.16). Factors associated with increased overall HIV-related knowledge included longer duration of study participation, HIV seropositivity, higher education level, and more frequent internet use. Conclusions There was suboptimal HIV-related knowledge among Nigerian MSM and TGW at that improved modestly with engagement in care. These data demonstrate unmet HIV education needs among Nigerian MSM and TGW and provide insights into modalities that could be used to address these needs.

Social determinants of health (SDoH), factors related to the conditions in which people are born, live, work, play, age, and the systems that shape the conditions of daily life, have emerged as key drivers of health and health disparities. 1 , 2  A strong body of research supports that SDoH are associated with cardiovascular risk factors and outcomes, independently or in conjunction with more traditionally recognized risk factors. As a result, efforts to improve cardiovascular health are predicated on improved understanding of the impact of SDoH on cardiovascular disease (CVD) over the life course.

Though many African American churches offer health promotion activities to their members, less is known about organizational factors that predict the availability of this programming. This study examines organizational capacity as a predictor of the amount and type of health programming offered by a convenience sample of 119 African American churches. Leaders completed a survey of health promotion activities provided in the previous 12 months and a measure of organizational capacity. Churches offered an average of 6.08 (SD = 2.15) different health programs targeting 4.66 (SD = 3.63) topics. Allocation of space and having a health ministry were positively associated with both the number of health programs and health topics addressed. When seeking to initiate health programming in an African American church setting, it is recommended that stakeholders partner with churches that have existing structures to support health promotion such as a health ministry, or help them build this capacity.  

For hospital-based violence intervention programs (HVIPs), gun violence intervention and the treatment of firearm-related injuries for male survivors require a  sui generis  network of team members that includes physicians, caseworkers, mental health care providers, and violence intervention specialists (VIS). The VIS can play a vital part in the success of HVIPs, but there is no published literature about the roles, functions, and best practices of this position. A case study conducted at the Capital Region Violence Intervention Program, an emerging HVIP at the University of Maryland Prince George's Hospital Center, demonstrates the importance of the VIS fostering deep levels of interpersonal connection with survivors of violent injury. The VIS actively seeks to increase the rate of psychosocial services usage. Due to cultural competence, street experience, and a willingness to share lived experiences as a survivor of violent injury, the VIS has credibility when discussing mental health symptomatology and usage of services for young Black male survivors of violence. The relationship between the VIS and male survivors of violent injury markedly enhanced the provision of trauma-informed care, peer support, and mentoring. This case study demonstrates the importance of marshalling the shared lived experiences of the VIS to increase trust and perceived credibility by young Black male survivors of gun violence as a means to decrease trauma recidivism.

Racial health inequities are not fully explained by socioeconomic status (SES) measures like education, income and wealth. The largest inequities are observed among African American and white college graduates suggesting that African Americans do not receive the same health benefits of education. African Americans do not receive the same income and wealth returns of college education as their white counterparts indicating a racial non-equivalence of SES that may affect health inequities. The aim of this study is to determine whether racial non-equivalence of SES mediates race inequities in self-rated health by education and sex. Using data from the 2007–2016 National Health and Nutrition Examination Survey in the United States, the mediation of the associations between race and self-rated health through household income ≥400% federal poverty line, homeownership, and investment income were assessed among college graduates and non-college graduates by sex. Indirect associations were observed among college graduate women (odds = 0.08, standard error (s.e.) = 0.03), and non-college graduate men (odds = 0.14, s.e. = 0.02) and women (odds = 0.06, s.e. = 0.02). Direct associations between race and self-rated health remained after accounting for household income and wealth indicators suggesting that race differences in income and wealth partially mediate racial inequities in self-rated health. This study demonstrates that the racial non-equivalence of SES has implications for health inequities, but the magnitude of indirect associations varied by sex. Other factors like discrimination, health pessimism and segregation should be considered in light of the racial non-equivalence of SES and racial inequities in self-rated health.

Purpose:  Using representative school-based data and community-level primary data, we investigated how environmental factors (e.g., school and community climate) might be protective against substance use behaviors among a vulnerable population of adolescents. Methods:  We analyzed a sample of 2678 sexual minority adolescents using a combination of student-level data (British Columbia Adolescent Health Survey) and primary community-level data (assessing lesbian, gay, bisexual, transgender, and queer [LGBTQ]-specific community and school environments). Using multilevel logistic regression models, we examined associations between lifetime substance use (alcohol, illegal drugs, marijuana, nonmedical use of prescription drugs, and smoking) and community-level predictors (community and school LGBTQ supportiveness). Results:  Above and beyond student characteristics (e.g., age and years living in Canada), sexual minority adolescents residing in communities with more LGBTQ supports (i.e., more supportive climates) had lower odds of lifetime illegal drug use (for boys and girls), marijuana use (for girls), and smoking (for girls). Specifically, in communities with more frequent LGBTQ events (such as Pride events), the odds of substance use among sexual minority adolescents living in those communities was lower compared with their counterparts living in communities with fewer LGBTQ supports. Conclusions:  The availability of LGBTQ community-level organizations, events, and programs may serve as protective factors for substance use among sexual minority adolescents. In particular, LGBTQ-supportive community factors were negatively associated with substance use, which has important implications for our investment in community programs, laws, and organizations that advance the visibility and rights of LGBTQ people.

OBJECTIVE: Telomeres are protective sequences of DNA capping the ends of chromosomes that shorten over time. Leukocyte telomere length (LTL) is posited to reflect the replicative history of cells and general systemic aging of the organism. Chronic stress exposure leads to accelerated LTL shortening, which has been linked to increased susceptibility to and faster progression of aging-related diseases. This study examined longitudinal associations between LTL and experiences of racial discrimination, a qualitatively unique source of minority psychosocial stress, among African Americans. METHOD: Data are from 391 African Americans in the Coronary Artery Risk Development in Young Adults (CARDIA) Telomere Ancillary Study. We examined the number of domains in which racial discrimination was experienced in relation to LTL collected in Years 15 and 25 (Y15: 2000/2001; Y25: 2010/2011). Multivariable linear regression examined if racial discrimination was associated with LTL. Latent change score analysis (LCS) examined changes in racial discrimination and LTL in relation to one another. RESULTS: Controlling for racial discrimination at Y15, multivariable linear regression analyses indicated that racial discrimination at Y25 was significantly associated with LTL at Y25. This relationship remained robust after adjusting for LTL at Y15 (b = -.019, p = .015). Consistent with this finding, LCS revealed that increases in experiences of racial discrimination were associated with faster 10-year LTL shortening (b = -.019, p = .015). CONCLUSIONS: This study adds to evidence that racial discrimination contributes to accelerated physiologic weathering and health declines among African Americans through its impact on biological systems, including via its effects on telomere attrition. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Deep learning and, specifically, convoltional neural networks (CNN) represent a class of powerful models that facilitate the understanding of many problems in computer vision. When combined with a reasonable amount of data, CNNs can outperform traditional models for many tasks, including image classification. In this work, we utilize these powerful tools with imagery data collected through Google Street View images to perform virtual audits of neighborhood characteristics. We further investigate different architectures for chronic disease prevalence regression through networks that are applied to sets of images rather than single images. We show quantitative results and demonstrate that our proposed architectures outperform the traditional regression approaches.

Recent attention to the interrelationship between racism, socioeconomic status (SES) and health has led to a small, but growing literature of empirical work on the role of structural racism in population health. Area-level racial inequities in SES are an indicator of structural racism, and the associations between structural racism indicators and self-rated health are unknown. Further, because urban-rural differences have been observed in population health and are associated with different manifestations of structural racism, explicating the role of urban-rural classification is warranted. This study examined the associations between racial inequities in SES and self-rated health by county urban-rural classification. Using data from County Health Rankings and American Communities Surveys, black-white ratios of SES were regressed on rates of fair/poor health in U.S. counties. Racial inequities in homeownership were negatively associated with fair/poor health ( β  = −0.87, s.e. = 0.18), but racial inequities in unemployment were positively associated with fair/poor health ( β  = 0.03, s.e. = 0.01). The associations between structural racism and fair/poor health varied by county urban-rural classification. Potential mechanisms include the concentration of resources in racially segregated counties with high racial inequities that lead to better health outcomes, but are associated with extreme black SES disadvantage. Racial inequities in SES are a social justice imperative with implications for population health that can be targeted by urban-rural classification and other social contextual characteristics.