Church Closings Were Associated with Higher COVID-19 Infection Rates: Implications for Community Health Equity.

This study investigates the changes in physical church closings years 2013 to 2019 in New York City (NYC), Philadelphia, and Baltimore and the association with COVID-19 infection rates. We applied Bayesian spatial binomial models to analyze confirmed cases of COVID-19 as of February 28, 2022, in each city at the zip code-level. A one unit increase in the number of churches closed corresponded to a 5% higher COVID-19 infection rate, in NYC (rate ratio = 1.05, 95% credible interval = 1.02-1.08%), where the association was significant. Church closings appears to be an important indicator of neighborhood social vulnerability. Church closings should be routinely monitored as a structural determinant of community health and to advance health equity.

A systematic review of how social connectedness influences associations between racism and discrimination on health outcomes.

Racial discrimination is a well-known risk factor of racial disparities in health. Although progress has been made in identifying multiple levels through which racism and racial discrimination influences health, less is known about social factors that may buffer racism's associations with health. We conducted a systematic review of the literature with a specific focus on social connectedness, racism, and health, retrieving studies conducted in the United States and published between January 1, 2012, and July 30, 2022, in peer-reviewed journals. Of the 787 articles screened, 32 were selected for full-text synthesis. Most studies (72%) were at the individual level, cross-sectional, and among community/neighborhood, school, or university samples. Studies had good methodological rigor and low risk of bias. Measures of racism and racial discrimination varied. Discrimination scales included unfair treatment because of race, schedule of racist events, experiences of lifetime discrimination, and everyday discrimination. Measures of social connectedness (or disconnectedness) varied. Social-connectedness constructs included social isolation, loneliness, and social support. Mental health was the most frequently examined outcome (75%). Effect modification was used in 56% of studies and mediation in 34% of studies. In 81% of studies, at least 1 aspect of social connectedness significantly buffered or mediated the associations between racism and health. Negative health associations were often weaker among people with higher social connectedness. Social connectedness is an important buffering mechanism to mitigate the associations between racial discrimination and health. In future studies, harmonizing metrics of social connectedness and racial discrimination can strengthen causal claims to inform interventions.

Spatial accessibility of pre-exposure prophylaxis (PrEP): different measure choices and the implications for detecting shortage areas and examining its association with social determinants of health.

PURPOSE: We examine how various pre-exposure prophylaxis (PrEP) accessibility measures impact the detection of PrEP shortage areas and the relation of shortage areas to social determinants of health (SDOH). METHODS: Using ZIP Code Tabulation Areas (ZCTAs) in New York City as a case study, we compared 25 measures of spatial PrEP accessibility across four categories, including density, proximity, two-step floating catchment area (2SFCA), and Gaussian 2SFCA (G2SFCA). Bayesian spatial regression models were used to examine how PrEP accessibility is associated with SDOH. RESULTS: Using density to measure PrEP accessibility for small areas such as ZCTAs poses challenges to statistical modeling because the measured accessibility values are highly skewed with excess zeros, leading to the necessity of using complex models such as the two-part mixture model. When G2SFCA measures are used, which account for distance decay effects and the competition from the PrEP demand side, findings on PrEP shortage area detection and the association between PrEP accessibility and SDOH were more consistent and less sensitive to spatial scales (i.e., varying from 10- to 30-minute driving). CONCLUSIONS: This research adds to the nascent research on PrEP accessibility measurement and sheds light on selecting an appropriate measure to assess spatial disparities in PrEP accessibility and its associations with SDOH.

Different Responses to Social Capital Among Black People and White People: What Racial Differential Item Functioning Reveals for Racial Health Equity.

Social capital has been conceptualized as features of social organization, such as networks, and norms that facilitate coordination and cooperation for mutual benefit. Because of long-standing anti-Black structural oppression in the United States, social capital may be associated with health differently for Black people than for other racial/ethnic groups. Our aim was to examine the psychometric properties of social capital indicators, comparing responses from Black and White people to identify whether there is differential item functioning (DIF) in social capital according to race. DIF examines how items are related to a latent construct and whether this relationship differs across groups such as different racial groups. We used data from respondents to the Southeastern Pennsylvania Household Health Survey in 2004, who lived in Philadelphia (n = 2,048), a city with a large Black population. We used item response theory analysis to test for racial DIF. We found DIF across the items, indicating measurement error, which could be related to the way these items were developed (i.e., based on cultural assumptions tested in mainstream White America). Hence, our findings underscore the need to interrogate the assumptions that underly existing social capital items through an equity-based lens, and to take corrective action when developing new items to ensure that they are racially and culturally congruent.

Social Capital, Black Social Mobility, and Health Disparities.

This review aims to delineate the role of structural racism in the formation and accumulation of social capital and to describe how social capital is leveraged and used differently between Black and White people as a response to the conditions created by structural racism. We draw on critical race theory in public health praxis and restorative justice concepts to reimagine a race-conscious social capital agenda. We document how American capitalism has injured Black people and Black communities' unique construction of forms of social capital to combat systemic oppression. The article proposes an agenda that includes communal restoration that recognizes forms of social capital appreciated and deployed by Black people in the United States that can advance health equity and eliminate health disparities. Developing a race-conscious social capital framing that is inclusive of and guided by Black community members and academics is critical to the implementation of solutions that achieve racial and health equity and socioeconomic mobility.

Messaging matters: achieving equity in the HIV response through public health communication.

Public health messages shape how the world understands the HIV epidemic. Considerable inequalities remain in HIV care continuum indicators by subpopulation and geography (eg, highest infection and mortality burden among men who have sex with men and people who live in sub-Saharan Africa). Health equity-focused approaches are necessary in this next decade to close gaps in the HIV epidemic. Between 1981 and 1989, HIV messages triggered fear and victim blaming, and highlighted behaviours of a few marginalised groups as deviant. Between 1990 and 1999, messages signalled that HIV was a growing challenge for the world and required multisector approaches that addressed structural drivers of inequality. Between 2000 and 2009, messages highlighted universal testing, while advances in HIV testing made these messages easier for individuals to respond to than in previous decades. Currently, messages signal that ending HIV is possible, people can live productive lives with HIV, and transmission to people without HIV can be eliminated. Public health messaging about the HIV epidemic has evolved substantially over the past 40 years. Future HIV messaging should be driven by health equity principles that include an increased representation of key populations in message design and dissemination, transparency of funding, and communicating any impact that campaigns have had on closing health inequalities.

Neighborhood Social Cohesion and Inequalities in COVID-19 Diagnosis Rates by Area-Level Black/African American Racial Composition.

Geographic inequalities in COVID-19 diagnosis are now well documented. However, we do not sufficiently know whether inequalities are related to social characteristics of communities, such as collective engagement. We tested whether neighborhood social cohesion is associated with inequalities in COVID-19 diagnosis rate and the extent the association varies across neighborhood racial composition. We calculated COVID-19 diagnosis rates in Philadelphia, PA, per 10,000 general population across 46 ZIP codes, as of April 2020. Social cohesion measures were from the Southeastern Pennsylvania Household Health Survey, 2018. We estimated Poisson regressions to quantify associations between social cohesion and COVID-19 diagnosis rate, testing a multiplicative interaction with Black racial composition in the neighborhood, which we operationalize via a binary indicator of ZIP codes above vs. below the city-wide average (41%) Black population. Two social cohesion indicators were significantly associated with COVID-19 diagnosis. Associations varied across Black neighborhood racial composition (p <0.05 for the interaction test). In ZIP codes with ≥41% of Black people, higher collective engagement was associated with an 18% higher COVID-19 diagnosis rate (IRR=1.18, 95%CI=1.11, 1.26). In contrast, areas with <41% of Black people, higher engagement was associated with a 26% lower diagnosis rate (IRR=0.74, 95%CI=0.67, 0.82). Neighborhood social cohesion is associated with both higher and lower COVID-19 diagnosis rates, and the extent of associations varies across Black neighborhood racial composition. We recommend some strategies for reducing inequalities based on the segmentation model within the social cohesion and public health intervention framework.

Is investing in religious institutions a viable pathway to reduce mortality in the population?

There is established and consistent findings from epidemiologic studies, among individuals, that religion- broadly assessed through frequency of attending worship services-is associated with lower all-cause and cause-specific mortality attributed to suicide, alcohol, cardiovascular disease and cancer. Religious norms, social support, character, virtue, compassion, love, generosity, and religious community are among some mechanisms purported to explain lower mortality, on aggregate. The religious ecology or characteristics of religion within an area or geographic level (e.g., county, ZIP-code, country), has been linked with overall and cause-specific mortality, but directions of findings are mixed. Mechanisms to explain the links between the religious ecology and mortality included social integration, civic engagement, and social control. The study by Clark 2020 a fresh and timely perspective by investigating another mechanism: investment in local healthcare spending. The study found some support of an indirect association from county-level religious denominational composition, through investments in health spending, on Black and White all-cause mortality rates. Should society or government invest finances in religious institutions to indirectly improve population health? This work adds evidence to debate that question. Future work on the topic will need to address several conceptual and methodological challenges. Conceptually, is investigating the market share of religious denominations (i.e., % Catholics vs % Protestants) relevant today given diversity in population and declining trends of worship attendance? Is mortality the most relevant for moving policy or should the focus be on well-being? Methodologically, are there alternate observable measures religious investments/spending in the local economy? Mechanisms, challenges, and opportunities for social epidemiology research on this topic are discussed.

Religion, Spirituality, and Health: New Considerations for Epidemiology.

Religion and spirituality are important social determinants that drive public health practice. The field of epidemiology has played a vital role in answering long-standing questions about whether religion is causally associated with health and mortality. As epidemiologists spark new conversations (e.g., see Kawachi (Am J Epidemiol. (https://doi.org/10.1093/aje/kwz204)) and Chen and VanderWeele (Am J Epidemiol. 2018;187(11):2355-2364)) about methods (e.g., outcomes-wide analysis) used to establish causal inference between religion and health, epidemiologists need to engage with other aspects of the issue, such as emerging trends and historical predictors. Epidemiologists will need to address 2 key aspects. The first is changing patterns in religious and spiritual identification. Specifically, how do traditional mechanisms (e.g., social support) hold up as explanations for religion-health associations now that more people identify as spiritual but not religious and more people are not attending religious services in physical buildings? The second is incorporation of place into causal inference designs. Specifically, how do we establish causal inference for associations between area-level constructs of the religious environment (e.g., denomination-specific church membership/adherence rates) and individual- and population-level health outcomes?

Area-level HIV risk and socioeconomic factors associated with willingness to use PrEP among Black people in the U.S. South.

PURPOSE: In the United States (U.S.), southern states have the highest HIV incidence. Uptake of pre-exposure prophylaxis (PrEP) has been slow among Black people, particularly in the South. We know little about how area-level HIV risk influences one's willingness to use PrEP. METHODS: 169 Black participants across 142 ZIP codes in the South completed the 2016 National Survey on HIV in the Black Community. We performed log-binomial regression to estimate the prevalence risk associated with residing in the upper 25th percentile of increases in new HIV diagnosis (2014-2015) within ZIP code and an individual's willingness to use PrEP, adjusting for individual and area-level covariates. RESULTS: Participants were 68% female, mean age of 36 years, and 24% willing to use PrEP. Among the ZIP codes, 23% were within Atlanta, GA. The median increase in new HIV diagnoses was 25 per 100,000 population from 2014 to 2015 (IQR, 14-49). Participants living in ZIP codes within the upper 25th (compared-to-lower 75th) percentile of new HIV diagnoses were more willing to use PrEP (adjusted prevalence ratio (aPR) = 2.02, 95% CI = 1.06-3.86, P = .03). Area-level socioeconomic factors attenuated that association (aPR = 1.63, 95% CI = 0.78-3.39, P = .19). CONCLUSIONS: Area-level factors may influence PrEP uptake among Black people in the South.

Drivers of cost differences between US breast cancer survivors with or without lymphedema.

PURPOSE: Breast cancer-related lymphedema is an adverse effect of breast cancer surgery affecting nearly 30% of US breast cancer survivors (BCS). Our previous analysis showed that, even 12 years after cancer treatment, out-of-pocket healthcare costs for BCS with lymphedema remained higher than for BCS without lymphedema; however, only half of the cost difference was lymphedema-related. This follow-up analysis examines what, above and beyond lymphedema, contributes to cost differences. METHODS: This mixed methods study included 129 BCS who completed 12 monthly cost diaries in 2015. Using Cohen's d and multivariable analysis, we compared self-reported costs across 13 cost categories by lymphedema status. We elicited quotes about specific cost categories from in-person interviews with 40 survey participants. RESULTS: Compared with BCS without lymphedema, BCS with lymphedema faced 122% higher mean overall monthly direct costs ($355 vs $160); had significantly higher co-pay, medication, and other out-of-pocket costs, lower lotion costs; and reported inadequate insurance coverage and higher costs that persisted over time. Lotion and medication expenditure differences were driven by BCS' socioeconomic differences in ability to pay. CONCLUSIONS: Elevated patient costs for BCS with lymphedema are for more than lymphedema itself, suggesting that financial coverage for lymphedema treatment alone may not eliminate cost disparities. IMPLICATIONS FOR CANCER SURVIVORS: The economic challenges examined in this paper have long been a concern of BCS and advocates, with only recent attention by policy makers, researchers, and providers. BCS identified potential policy and programmatic solutions, including expanding insurance coverage and financial assistance for BCS across socioeconomic levels.

"It still affects our economic situation": long-term economic burden of breast cancer and lymphedema.

PURPOSE: Financial toxicity after breast cancer may be exacerbated by adverse treatment effects, like breast cancer-related lymphedema. As the first study of long-term out-of-pocket costs for breast cancer survivors in the USA with lymphedema, this mixed methods study compares out-of-pocket costs for breast cancer survivors with and without lymphedema. METHODS: In 2015, 129 breast cancer survivors from Pennsylvania and New Jersey completed surveys on demographics, economically burdensome events since cancer diagnosis, cancer treatment factors, insurance, and comorbidities; and prospective monthly out-of-pocket cost diaries over 12 months. Forty participants completed in-person semi-structured interviews. GLM regression predicted annual dollar amount estimates. RESULTS: 46.5% of participants had lymphedema. Mean age was 63 years (SD = 8). Average time since cancer diagnosis was 12 years (SD = 5). Over 98% had insurance. Annual adjusted health-related out-of-pocket costs excluding productivity losses totaled $2306 compared to $1090 (p = 0.006) for those without lymphedema, or including productivity losses, $3325 compared to $2792 (p = 0.55). Interviews suggested that the cascading nature of economic burden on long-term savings and work opportunities, and insufficiency of insurance to cover lymphedema-related needs drove cost differences. Higher costs delayed retirement, reduced employment, and increased inability to access lymphedema care. CONCLUSIONS: Long-term cancer survivors with lymphedema may face up to 112% higher out-of-pocket costs than those without lymphedema, which influences lymphedema management, and has lasting impact on savings and productivity. Findings reinforce the need for actions at policy, provider, and individual patient levels, to reduce lymphedema costs. Future work should explore patient-driven recommendations to reduce economic burden after cancer.

Consumer credit, chronic disease and risk behaviours.

BACKGROUND: Credit scores have been identified as a marker of disease burden. This study investigated credit scores' association with chronic diseases and health behaviours that are associated with chronic diseases. METHODS: This cross-sectional analysis included data on 2083 residents of Philadelphia, Pennsylvania, USA in 2015. Nine-digit ZIP code level FICO credit scores were appended to individual self-reported chronic diseases (obesity, diabetes, hypertension) and related health behaviours (smoking, exercise, and salt intake and medication adherence among those with hypertension). Models adjusted for individual-level and area-level demographics and retail pharmacy accessibility. RESULTS: Median ZIP code credit score was 665 (SD=58). In adjusted models, each 50-point increase in ZIP code credit score was significantly associated with: 8% lower chronic disease risk; 6% lower overweight/obesity risk, 19% lower diabetes risk; 9% lower hypertension risk and 14% lower smoking risk. Other health behaviours were not significantly associated. Compared with high prime credit, subprime credit score was significantly associated with a 15%-70% increased risk of chronic disease, following a dose-response pattern with a prime rating. CONCLUSION: Lower area level credit scores may be associated with greater chronic disease prevalence but not necessarily with related health behaviours. Area-level consumer credit may make a novel contribution to identifying chronic disease patterns.

African American Clergy Perspectives About the HIV Care Continuum: Results From a Qualitative Study in Jackson, Mississippi.

Mississippi has some of the most pronounced racial disparities in HIV infection in the country; African Americans comprised 37% of the Mississippi population but represented 80% of new HIV cases in 2015. Improving outcomes along the HIV care continuum, including linking and retaining more individuals and enhancing adherence to medication, may reduce the disparities faced by African Americans in Mississippi. Little is understood about clergy's views about the HIV care continuum. We assessed knowledge of African American pastors and ministers in Jackson, Mississippi about HIV and the HIV care continuum. We also assessed their willingness to promote HIV screening and biomedical prevention technologies as well as efforts to enhance linkage and retention in care with their congregations. Four focus groups were conducted with 19 African American clergy. Clergy noted pervasive stigma associated with HIV and believed they had a moral imperative to promote HIV awareness and testing; they provided recommendations on how to normalize conversations related to HIV testing and treatment. Overall, clergy were willing to promote and help assist with linking and retaining HIV positive individuals in care but knew little about how HIV treatment can enhance prevention or new biomedical technologies such as pre-exposure prophylaxis (PrEP). Clergy underscored the importance of building coalitions to promote a collective local response to the epidemic. The results of this study highlight important public health opportunities to engage African American clergy in the HIV care continuum in order to reduce racial disparities in HIV infection.

Financial Hardship, Condomless Anal Intercourse and HIV Risk Among Men Who Have Sex with Men.

The objective of this study was to examine the association between financial hardship, condomless anal intercourse and HIV risk among a sample of men who have sex with men (MSM). Users of a popular geosocial networking application in Paris were shown an advertisement with text encouraging them to complete a anonymous web-based survey (n = 580). In adjusted multivariate models, high financial hardship (compared to low financial hardship) was associated with engagement in condomless anal intercourse (aRR 1.28; 95% CI 1.08-1.52), engagement in condomless receptive anal intercourse (aRR 1.34; 95% CI 1.07-1.67), engagement in condomless insertive anal intercourse (aRR 1.30; 95% CI 1.01-1.67), engagement in transactional sex (aRR 2.36; 95% CI 1.47-3.79) and infection with non-HIV STIs (aRR 1.50; 95% CI 1.07-2.10). This study suggests that interventions to reduce financial hardships (e.g., income-based strategies to ensure meeting of basic necessities) could decrease sexual risk behaviors in MSM.

Racial Disparities in the Association between Alcohol Use Disorders and Health in Black and White Women.

Adverse health attributed to alcohol use disorders (AUD) is more pronounced among black than white women. We investigated whether socioeconomic status (education and income), health care factors (insurance, alcoholism treatment), or psychosocial stressors (stressful life events, racial discrimination, alcoholism stigma) could account for black-white differences in the association between AUD and physical and functional health among current women drinkers 25 years and older (N = 8,877) in the National Epidemiological Survey on Alcohol and Related Conditions. Generalized linear regression tested how race interacted with the association between 12-month DSM-IV AUD in Wave 1 (2001-2002) and health in Wave 2 (2004-2005), adjusted for covariates (age group, alcohol consumption, smoking, body mass index, physical activity, diabetes, cardiovascular disease, and arthritis). Black women with AUD had poorer health than white women with AUD (ß = -3.18, SE = 1.28, p < .05). This association was partially attenuated after adjusting for socioeconomic status, health care, and psychosocial factors (ß = -2.64, SE = 1.27, p < .05). In race-specific analyses, AUD was associated with poorer health for black but not white women. Accounting for black-white differences in AUD and physical and functional health among women requires investigation beyond traditional explanatory mechanisms.

How Do Social Capital and HIV/AIDS Outcomes Geographically Cluster and Which Sociocontextual Mechanisms Predict Differences Across Clusters?

BACKGROUND: Place of residence has been associated with HIV transmission risks. Social capital, defined as features of social organization that improve efficiency of society by facilitating coordinated actions, often varies by neighborhood, and hypothesized to have protective effects on HIV care continuum outcomes. We examined whether the association between social capital and 2 HIV care continuum outcomes clustered geographically and whether sociocontextual mechanisms predict differences across clusters. METHODS: Bivariate Local Moran's I evaluated geographical clustering in the association between social capital (participation in civic and social organizations, 2006, 2008, 2010) and [5-year (2007-2011) prevalence of late HIV diagnosis and linkage to HIV care] across Philadelphia, PA, census tracts (N = 378). Maps documented the clusters and multinomial regression assessed which sociocontextual mechanisms (eg, racial composition) predict differences across clusters. RESULTS: We identified 4 significant clusters (high social capital-high HIV/AIDS, low social capital-low HIV/AIDS, low social capital-high HIV/AIDS, and high social capital-low HIV/AIDS). Moran's I between social capital and late HIV diagnosis was (I = 0.19, z = 9.54, P < 0.001) and linkage to HIV care (I = 0.06, z = 3.274, P = 0.002). In multivariable analysis, median household income predicted differences across clusters, particularly where social capital was lowest and HIV burden the highest, compared with clusters with high social capital and lowest HIV burden. DISCUSSION: The association between social participation and HIV care continuum outcomes cluster geographically in Philadelphia, PA. HIV prevention interventions should account for this phenomenon. Reducing geographic disparities will require interventions tailored to each continuum step and that address socioeconomic factors such as neighborhood median income.

The relationship between higher social trust and lower late HIV diagnosis and mortality differs by race/ethnicity: results from a state-level analysis.

INTRODUCTION: Black men who have sex with men (MSM) continue to suffer a disproportionate burden of new HIV diagnoses and mortality. To better understand some of the reasons for these profound disparities, we examined whether the association between social trust and late HIV diagnosis and mortality differed by race/ethnicity, and investigated potential indirect effects of any observed differences. METHODS: We performed generalized structural equation modelling to assess main and interaction associations between trust among one's neighbours in 2009 (i.e. social trust) and race/ethnicity (Black, White, and Hispanic) predicting late HIV diagnosis (a CD4 count ≤200 cell/µL within three months of a new HIV diagnosis) rates and all-cause mortality rates of persons ever diagnosed late with HIV, across 47 American states for the years 2009-2013. We examined potential indirect effects of state-level HIV testing between social trust and late HIV diagnosis. Social trust data were from the Gallup Healthways Survey, HIV data from the Centers for Disease Control and Prevention, and HIV testing from the Behavioral Risk Factor Surveillance System. Covariates included state-level structural, healthcare, and socio-demographic factors including income inequality, healthcare access, and population density. We stratified analysis by transmission group (male-to-male, heterosexual, and injection drug use (IDU)). RESULTS: States with higher levels of social trust had lower late HIV diagnosis rates: Adjusted Rate Ratio [aRR] were consistent across risk groups (0.57; 95%CI 0.53-0.62, male-to-male), (aRR 0.58; 95%CI 0.54-0.62, heterosexual) and (aRR 0.64; 95%CI 0.60-0.69, IDU). Those associations differed by race/ethnicity (all p < 0.001). The associations were most protective for Blacks followed by Hispanics, and least protective for Whites. HIV testing mediated between 18 and 32% of the association between social trust and late HIV diagnosis across transmission group but for Blacks relative to Whites only. Social trust was associated with lower all-cause mortality rates and that association varied by race/ethnicity within the male-to-male and IDU transmission groups only. CONCLUSION: Social trust may promote timely HIV testing, which can facilitate earlier HIV diagnosis, thus it can be a useful determinant to monitor the relationship with HIV care continuum outcomes especially for racial/ethnic minority groups disproportionately infected by HIV.

Structural inequalities drive late HIV diagnosis: The role of black racial concentration, income inequality, socioeconomic deprivation, and HIV testing.

In the United States, research is limited on the mechanisms that link socioeconomic and structural factors to HIV diagnosis outcomes. We tested whether neighborhood income inequality, socioeconomic deprivation, and black racial concentration were associated with gender-specific rates of HIV in the advanced stages of AIDS (i.e., late HIV diagnosis). We then examined whether HIV testing prevalence and accessibility mediated any of the associations above. Neighborhoods with highest (relative to lowest) black racial concentration had higher relative risk of late HIV diagnosis among men (RR=1.86; 95%CI=1.15, 3.00) and women (RR=5.37; 95%CI=3.16, 10.43) independent of income inequality and socioeconomic deprivation. HIV testing prevalence and accessibility did not significantly mediate the associations above. Research should focus on mechanisms that link black racial concentration to HIV diagnosis outcomes.

Social Capital is Associated With Late HIV Diagnosis: An Ecological Analysis.

BACKGROUND: Late HIV diagnosis is associated with higher medical costs, early mortality among individuals, and HIV transmission in the population. Even under optimal configurations of stable or declining HIV incidence and increase in HIV case findings, no change in proportion of late HIV diagnosis is projected after year 2019. We investigated the association among social capital, gender, and late HIV diagnosis. METHODS: We conduct ecological analyses (ZIP code, N = 166) using negative binomial regression of gender-specific rates of late HIV diagnoses (an AIDS defining illness or a CD4 count ≤200 cell/µL within 12 months of a new HIV diagnosis) in 2005 and 2006 obtained from the New York City HIV Surveillance Registry, and social capital indicators (civic engagement, political participation, social cohesion, and informal social control) from the New York Social Indicators Survey, 2004. RESULTS: Overall, low to high political participation and social cohesion corresponded with significant (P < 0.0001) decreasing trends in late HIV diagnosis rates. Among men [relative risk (RR) = 0.66, 95% CI: (0.47 to 0.98)] and women [RR = 0.43, 95% CI: (0.28 to 0.67)], highest political participation was associated with lower relative odds of late HIV diagnosis, independent of income inequality. Highest informal social control [RR = 0.67, 95% CI: (0.48 to 0.93)] among men only and moderate social cohesion [RR = 0.71, 95% CI: (0.55 to 0.92)] among women only were associated with the outcome adjusting for social fragmentation, income inequality, and racial composition. DISCUSSION: The magnitude of association between social capital and late HIV diagnosis varies by gender and by social capital indicator.