Stigma, HIV Risk, and Access to HIV Prevention and Treatment Services Among Men Who have Sex with Men (MSM) in the United States: A Scoping Review.

In light of recent advances in HIV prevention and treatment, we reviewed the literature to understand how different types of stigma impact HIV risk; access to HIV prevention, care, and treatment services; and related health outcomes among men who have sex with men (MSM) in the US. We conducted a scoping literature review of observational and qualitative studies that examined stigma and HIV-related outcomes among MSM. Our search identified 5794 studies, of which 47 met the eligibility criteria and were included in the final analysis. The review suggests that stigma remains a formidable barrier to engaging in HIV prevention and treatment among both HIV-negative and HIV-positive MSM. Among the studies of HIV-positive MSM, internalized stigma was related to lower levels of treatment engagement. HIV-positive MSM in the Southern part of the US were also more likely to engage in risky sexual behavior. Perceived health care discrimination was negatively associated with PrEP awareness, particularly among HIV-negative Black MSM. Among young MSM of color, intersectional stigma compounded the social structural barriers to PrEP adherence. Findings indicate that stigma reduction interventions should be implemented in diverse MSM communities to address the disproportionate burden of HIV along with critical gap in the care continuum. Further research should examine how individual types of stigma, including intersectional stigma, affect viral suppression and PrEP uptake and adherence, especially among MSM of color.

Neighborhood Social Environmental Factors and Breast Cancer Subtypes among Black Women.

BACKGROUND: The disproportionate burden of more aggressive breast cancer subtypes among African American/Black women may stem from multilevel determinants. However, data are limited regarding the impacts of neighborhood social environmental characteristics among Black women. METHODS: We evaluated the association between neighborhood-level socioeconomic status (nSES) and breast cancer subtypes in the Women's Circle of Health and Women's Circle of Health Follow-up Study, which included 1,220 Black women diagnosed from 2005 to 2017 with invasive breast cancer. nSES at diagnosis was measured using NCI's census tract-level SES index. We used multilevel multinomial logistic regression models to estimate the association of nSES with breast cancer subtypes [triple-negative breast cancer (TNBC), HER2-positive vs. luminal A], adjusting for individual-level SES, body mass index, and reproductive factors. We tested for interactions by neighborhood racial composition. RESULTS: Compared with census tracts characterized as high nSES, the relative risk ratios (RRR) for TNBC were 1.81 [95% confidence interval (CI): 1.20-2.71] and 1.95 (95% CI: 1.27-2.99) for women residing in areas with intermediate and low nSES, respectively (P trend = 0.002). Neighborhood racial composition modified the association between nSES and TNBC; the highest relative risk of TNBC was among women residing in low nSES areas with low proportions of Black residents. CONCLUSIONS: Black women residing in socioeconomically disadvantaged neighborhoods may have an increased risk of TNBC, particularly in areas with lower proportions of Black residents. IMPACT: Places people live may influence breast tumor biology. A deeper understanding of multilevel pathways contributing to tumor biology is needed.

Drop-And-Spin Virtual Neighborhood Auditing: Assessing Built Environment for Linkage to Health Studies.

INTRODUCTION: Various built environment factors might influence certain health behaviors and outcomes. Reliable, resource-efficient methods that are feasible for assessing built environment characteristics across large geographies are needed for larger, more robust studies. This paper reports the item response prevalence, reliability, and rating time of a new virtual neighborhood audit protocol, drop-and-spin auditing, developed for assessment of walkability and physical disorder characteristics across large geographic areas. METHODS: Drop-and-spin auditing, a method where a Google Street View scene was rated by spinning 360° around a point location, was developed using a modified version of the virtual audit tool Computer Assisted Neighborhood Visual Assessment System. Approximately 8,000 locations within Essex County, New Jersey were assessed by 11 trained auditors. Using a standardized protocol, 32 built environment items per a location within Google Street View were audited. Test-retest and inter-rater κ statistics were from a 5% subsample of locations. Data were collected in 2017-2018 and analyzed in 2018. RESULTS: Roughly 70% of Google Street View scenes had sidewalks. Among those, two thirds were in good condition. At least 5 obvious items of garbage or litter were present in 41% of Google Street View scenes. Maximum test-retest reliability indicated substantial agreement (κ ≥0.61) for all items. Inter-rater reliability of each item, generally, was lower than test-retest reliability. The median time to rate each item was 7.3 seconds. CONCLUSIONS: Compared with segment-based protocols, drop-and-spin virtual neighborhood auditing is quicker and similarly reliable for assessing built environment characteristics. Assessment of large geographies may be more feasible using drop-and-spin virtual auditing.