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Objectives To examine the association between gun violence and birth outcomes among women in Chicago. Methods Using a 5-year set of birth files (2011-2015) merged with census and police data, birth outcomes including low birth weight (LBW, BW < 2500 g), preterm birth (PTB, < 37 weeks gestation), and small-for-gestational-age (SGA, BW < 10th percentile) were examined among non-Hispanic (NH) white, NH black, and Hispanic women in Chicago. Gun violence rates were categorized into tertiles. Multilevel, multiple logistic regression examined the effects of gun violence and race/ethnicity on birth outcomes. Results Of 175,065 births, 10.6% of LBW, 10.6% of PTB, and 9.1% of SGA occurred in high violence tertile. Using white women in low violence tertile as reference, the OR for LBW among black women ranged 1.9-2.1 across all tertiles, and 0.8-1.2 among Hispanic women. OR for PTB for black women were 1.6-1.7 and 1.0-1.2 for Hispanic women, and OR for SGA for black women were 1.6-1.7 and for Hispanic women 0.9-1.0. Conclusions for Practice In Chicago, race/ethnicity was associated with birth outcomes, regardless of the level of exposure to gun violence, in 2011-2015. The differences in racial/ethnic composition across the violence exposure levels suggest that, rather than gun violence alone, residential segregation and the geographic inequities likely contribute to disparate birth outcomes., Author(s): Nana Matoba [sup.1] , Margarita Reina [sup.2] , Nikhil Prachand [sup.2] , Matthew M. Davis [sup.3] , James W. Collins [sup.1] Author Affiliations: (Aff1) 0000 0001 2299 3507, grid.16753.36, [...]

Compared to national findings, Chicago has both a higher rate of opioid-related overdose death and a markedly different distribution by demographics. The Chicago Department of Public Health analyzed fatal overdoses by level of neighborhood economic hardship. The highest rate of opioid-related deaths occurred in neighborhoods with high economic hardship (36.9 per 100,000 population) compared to medium- (20.5) and low- (12.3) hardship neighborhoods. However, these patterns were not consistent across racial/Hispanic ethnicity subgroups. These data support the need to consider the role of racism and other structural, social, and economic factors when designing interventions to reduce opioid-related overdose deaths. [ABSTRACT FROM AUTHOR]

Background. Much has been written about the impact of human immunodeficiency virus (HIV) among young (13-24) sexual minority men (SMM). Evidence for concern is substantial for emerging adult (18-24 years) SMM. Data documenting the burden and associated risk factors of HIV among adolescent SMM (<18 years) remain limited. Methods. Adolescent SMM aged 13-18 years were recruited in 3 cities (Chicago, New York City, and Philadelphia) for interview and HIV testing. We used χ² tests for percentages of binary variables and 1-way analysis of variance for means of continuous variables to assess differences by race/ethnicity in behaviors. We calculated estimated annual HIV incidence density (number of HIV infections per 100 person-years [PY] at risk). We computed Fisher's exact tests to determine differences in HIV prevalence by selected characteristics. Results. Of 415 sexually active adolescent SMM with a valid HIV test result, 25 (6%) had a positive test. Estimated annual HIV incidence density was 3.4/100 PY; incidence density was highest for blacks, followed by Hispanics, then whites (4.1, 3.2, and 1.1/100 PY, respectively). Factors associated with higher HIV prevalence included black race; ≥4 male partners, condomless anal sex, and exchange sex in the past 12 months; and a recent partner who was older, black, HIV-infected, or had ever been in jail or prison (P < .05). Conclusions. HIV-related risk behaviors, prevalence, and estimated incidence density for adolescent SMM were high, especially for minority SMM. Our findings suggest that initiating intervention efforts early may be helpful in combating these trends. [ABSTRACT FROM AUTHOR]

Men who have sex with men (MSM) in the USA continue to have high rates of HIV infection. Increasingly, in addition to behavioral factors, biomedical interventions have been found to play important roles in HIV prevention. In this analysis, we used four waves of cross-sectional data (2004, 2008, 2011, and 2014) from the National HIV Behavioral Surveillance System (NHBS) to examine trends in key behaviors and biomedical interventions among MSM in Chicago (N = 3298). Logistic regression was used to determine changes in behaviors and use of biomedical interventions. Condomless sex increased significantly in waves 3 and 4, compared to wave 1: wave 3 (AOR = 2.07; 95% CI 1.53, 2.78) and wave 4 (AOR = 2.19; 95% CI 1.62, 2.96). Compared to those aged 18-24, older participants were significantly less likely to be routinely tested for HIV: 30-39 (AOR = 0.63; 95% CI 0.48, 0.83), 40-49 (AOR = 0.40; 95% CI 0.29, 0.55), and >50 (AOR = 0.28; 95% CI 0.18, 0.43). Awareness of both post-exposure prophylaxis (PEP)(​AOR = 3.13; 95% CI 1.22, 8.03) and pre-exposure prophylaxis (PrEP)(​AOR = 10.02; 95% CI 2.95, 34.01) increased significantly in wave 4, compared to wave 3. These results suggest a potential increase in HIV rates among men with main and casual partners and should be monitored closely as PrEP becomes more widespread among MSM of all races and ethnicities in Chicago. This study also suggests that further analyses of the barriers to PEP and PreP uptake among high-risk populations are necessary. [ABSTRACT FROM AUTHOR]

Background: Monitoring the effects of HIV prevention efforts among persons who inject drugs is key to informing prevention programs and policy., Methods: Data for this study came from the 2012 National HIV Behavioral Surveillance interviews with persons who inject drugs across 20 US cities. The present analyses include those who identified as female, ever had sex with a man, and were at risk of HIV infection (did not report a previous positive HIV test result) (n = 2624). We conducted latent class analysis to identify sexual risk classes, and modeled associations with engagement in HIV prevention services and HIV test results., Results: We identified 6 classes of sexual risk behavior: (1) low risk, (2) monogamous, (3) casual partner, (4) multiple partners, (5) exchange sex, and (6) exchange plus main partner. The class distribution was similar across the mainland regions. Bisexual orientation and homelessness were significant predictors of higher-risk class. HIV prevalence and participation in behavioral interventions did not vary significantly by risk class, while obtaining and using free condoms did. Independent of risk class, women in cities in the South were significantly less likely to use free condoms, and HIV prevalence was higher among non-Hispanic black women and women aged 40-49 years., Conclusions: Bisexual orientation and homelessness were predictors of higher risk. Condom distribution programs reached fewer women in cities in the South. Race and age disparities in HIV-positive rates persisted after adjusting for sexual risk class.

Purpose: HIV prevalence estimates among transgender women in the United States are high, particularly among racial/ethnic minorities. Despite increased HIV risk and evidence of racial disparities in HIV prevalence among transgender women, few data are available to inform HIV prevention efforts., Methods: A transgender HIV-related behavioral survey conducted in 2009 in 3 US metropolitan areas (Chicago, Houston, and Los Angeles County), used respondent-driven sampling to recruit 227 black (n = 139) and Latina (n = 88) transgender women. We present descriptive statistics on sociodemographic, health care, and HIV-risk behaviors., Results: Of 227 transgender women enrolled, most were economically and socially disadvantaged: 73% had an annual income of less than $15,000; 62% lacked health insurance; 61% were unemployed; and 46% reported being homeless in the past 12 months. Most (80%) had visited a health care provider and over half (58%) had tested for HIV in the past 12 months. Twenty-nine percent of those who reported having an HIV test in the past 24 months self-reported being HIV positive. Most of the sample reported hormone use (67%) in the past 12 months and most hormone use was under clinical supervision (70%). Forty-nine percent reported condomless anal sex in the past 12 months and 16% reported ever injecting drugs., Conclusion: These findings reveal the socioeconomic challenges and behavioral risks often associated with high HIV risk reported by black and Latina transgender women. Despite low health insurance coverage, the results suggest opportunities to engage transgender women in HIV prevention and care given their high reported frequency of accessing health care providers.

Background: Monitoring the effects of HIV prevention efforts on risk behaviors among persons who inject drugs is a key to inform prevention programs and policy., Methods: Using data from the 2012 National HIV Behavioral Surveillance interviews with persons who inject drugs across 20 US cities (n = 10,171), we conducted latent class analysis to identify injection risk classes and assess the relationship between engagement in prevention services and injection-related risk behavior. We conducted stratified analyses to examine the consistency of these associations across different geographical regions., Results: The latent class analysis identified 6 distinct classes of injection-related risk behavior. The class structure was consistent across regions of the United States, but the distribution of risk classes varied significantly across regions. With covariate adjustment, the South had the most high-risk behavior (21%) and the Midwest had the least (6%). Participation in syringe access services and other prevention services was the lowest in the South. Syringe access was associated with a significantly lower likelihood of membership in the highest risk class in all regions except the Midwest. Participation in individual or group intervention with a practical skills component was associated with less risky injection behavior in all regions except the Northeast. Interventions that featured only safer injection information and discussion had no relationship with risk class., Conclusions: Our findings support evidence of the effectiveness of syringe service programs and safer injection skills training in reducing high-risk injection behavior and underscore the need to improve access to these prevention interventions in the South of the United States.

Background: Improved retention-in-care may enhance health outcomes for people living with HIV/AIDS (PLWHA). Although laboratory surveillance data may be used to gauge retention, no previous reports have compared laboratory surveillance vs. clinic visit-based measures of retention-in-care. We compared laboratory surveillance vs. clinic visit-based approaches for identifying retention status for PLWHA., Methods: We examined 2011 patient visit data from the Ruth M. Rothstein CORE Center, Cook County's HIV clinic. We defined retained patients as those with visits every 6 months over 2 years and matched patients classified through visit data against HIV surveillance laboratories reported to the Chicago Department of Health. We determined the sensitivity, specificity, and receiver operator characteristics of varying laboratory surveillance vs. clinic visit measures of retention., Results: Of patients classified through clinic visit data, 91% of 1714 in-care vs. 22% of 200 out-of-care patients met our most stringent surveillance-based retention definition-having ≥2 viral load/CD4s performed 90 days apart reported by the same laboratory in 2011. Of surveillance laboratory-based definitions for retention, having ≥2 HIV viral load and/or CD4 values at least 3 months apart reported from the same facility possessed the best receiver operator parameters and the receiver operator characteristics' curve comparing several laboratory surveillance vs. clinic visit-based retention measures that had an area under the curve of 0.95., Conclusions: Our findings demonstrate that surveillance laboratory data can be used to assess retention-in-care for PLWHA. These data suggest that bi-directional data sharing between public health entities and care providers could advance re-engagement efforts.