Alexandra B. Balaji

High HIV incidence and prevalence and associated factors among young MSM, 2008

Objective:To estimate HIV prevalence, annual HIV incidence density, and factors associated with HIV infection among young MSM in the United States. Design:The 2008 National HIV Behavioral Surveillance System (NHBS), a cross-sectional survey conducted in 21 US cities. Methods:NHBS respondents included in the analysis were MSM aged 18–24 with a valid HIV test who reported at least one male sex partner in the past year. We calculated HIV prevalence and estimated annual incidence density (number of HIV infections/total number of person-years at risk). Generalized estimating equations were used to determine factors associated with testing positive for HIV. Results:Of 1889 young MSM, 198 (10%) had a positive HIV test; of these, 136 (69%) did not report previously testing HIV positive when interviewed. Estimated annual HIV incidence density was 2.9%; incidence was highest for blacks. Among young MSM who did not report being HIV infected, factors associated with testing HIV positive included black race; less than high school education; using both alcohol and drugs before or during last sex; having an HIV test more than 12 months ago; and reporting a visit to a medical provider in the past year. Conclusion:HIV prevalence and estimated incidence density for young MSM were high. Individual risk behaviors did not fully explain HIV risk, emphasizing the need to address sociodemographic and structural-level factors in public health interventions targeted toward young MSM.

Variation in School Health Policies and Programs by Demographic Characteristics of US Schools, 2006

BACKGROUND To identify whether school health policies and programs vary by demographic characteristics of schools, using data from the School Health Policies and Programs Study (SHPPS) 2006. This study updates a similar study conducted with SHPPS 2000 data and assesses several additional policies and programs measured for the first time in SHPPS 2006. METHODS SHPPS 2006 assessed the status of 8 components of the coordinated school health model using a nationally representative sample of public, Catholic, and private schools at the elementary, middle, and high school levels. Data were collected from school faculty and staff using computer-assisted personal interviews and then linked with extant data on school characteristics. RESULTS Results from a series of regression analyses indicated that a number of school policies and programs varied by school type (public, Catholic, or private), urbanicity, school size, discretionary dollars per pupil, percentage of white students, percentage of students qualifying for free lunch funds, and, among high schools, percentage of college-bound students. Catholic and private schools, smaller schools, and those with low discretionary dollars per pupil did not have as many key school health policies and programs as did schools that were public, larger, and had higher discretionary dollars per pupil. However, no single type of school had all key components of a coordinated school health program in place. CONCLUSIONS Although some categories of schools had fewer policies and programs in place, all had both strengths and weaknesses. Regardless of school characteristics, all schools have the potential to implement a quality school health program.

A Multisite Study of the Prevalence of HIV With Rapid Testing in Mental Health Settings

OBJECTIVES We estimated HIV prevalence and risk factors among persons receiving mental health treatment in Philadelphia, Pennsylvania, and Baltimore, Maryland, January 2009 to August 2011. METHODS We used a multisite, cross-sectional design stratified by clinical setting. We tested 1061 individuals for HIV in university-based inpatient psychiatric units (n = 287), intensive case-management programs (n = 273), and community mental health centers (n = 501). RESULTS Fifty-one individuals (4.8%) were HIV-infected. Confirmed positive HIV tests were 5.9% (95% confidence interval [CI] = 3.7%, 9.4%) for inpatient units, 5.1% (95% CI = 3.1%, 8.5%) for intensive case-management programs, and 4.0% (95% CI = 2.6%, 6.1%) for community mental health centers. Characteristics associated with HIV included Black race, homosexual or bisexual identity, and HCV infection. CONCLUSIONS HIV prevalence for individuals receiving mental health services was about 4 times as high as in the general population. We found a positive association between psychiatric symptom severity and HIV infection, indicating that engaging persons with mental illness in appropriate mental health treatment may be important to HIV prevention. These findings reinforce recommendations for routine HIV testing in all clinical settings to ensure that HIV-infected persons receiving mental health services are identified and referred to timely infectious disease care.

Uses of Youth Risk Behavior Survey and School Health Profiles Data: Applications for Improving Adolescent and School Health

BACKGROUND To monitor priority health risk behaviors and school health policies and practices, respectively, the Centers for Disease Control and Prevention (CDC) developed the Youth Risk Behavior Surveillance System (YRBSS) and the School Health Profiles (Profiles). CDC is often asked about the use and application of these survey data to improve adolescent and school health. The purpose of this article is to describe the importance and potential impact of Youth Risk Behavior Survey (YRBS) and Profiles data based on examples from participating sites. METHODS The authors spoke with representatives from 25 state and 8 local agencies funded by CDC to learn how data from the YRBS, Profiles, and other data sources are used. The authors identified common themes in the responses and categorized the responses accordingly. RESULTS Representatives indicated survey data are used to describe risk behaviors and school health policies and practices, inform professional development, plan and monitor programs, support health-related policies and legislation, seek funding, and garner support for future surveys. Examples presented highlight the range of possible uses of survey data. CONCLUSIONS State and local agencies use YRBS and Profiles data in many ways to monitor and address issues related to adolescent and school health. Innovative uses of survey data are encouraged, although it is also crucial to continue the more fundamental uses of survey data. If the data are not disseminated, the current health needs of students may not be adequately addressed.

Young Sexual Minority Males in the United States: Sociodemographic Characteristics And Sexual Attraction, Identity and Behavior

CONTEXT HIV incidence is increasing among 13-24-year-old U.S. men who have sex with men, yet limited research is available to guide HIV prevention efforts for this population. METHODS National Survey of Family Growth data collected in 2002, in 2006-2010 and in 2011-2013 from 8,068 males aged 15-24 were analyzed to describe the population of U.S. young sexual minority males (i.e., males reporting same-sex attraction, identity or behavior). Correlates of sexual minority classification were assessed in logistic regression models. RESULTS An estimated 10% of young males, representing a population of 2.1 million, were sexual minorities. Males had an elevated likelihood of being sexual minorities if they were aged 18-19 or 20-24, rather than 15-17 (prevalence ratio, 1.7 for each); belonged to nonblack, non-Hispanic racial or ethnic minority groups (1.6); had no religious affiliation, rather than considering religion very important (1.9); or lived below the federal poverty level (1.3). They had a reduced likelihood of being sexual minorities if they lived in metropolitan areas outside of central cities (0.7). Among young sexual minority males, 44% were 15-19 years old, 29% were poor and 59% resided outside central cities. Forty-seven percent had engaged in same-sex behavior. Of those with data on all measured dimensions of sexuality, 24% reported same-sex attraction, identity and behavior; 22% considered themselves heterosexual, yet had had a male sex partner. CONCLUSION Future investigations can further explore subpopulations of young sexual minority males and assess sexual trajectories, resilience and HIV risk.

Association between parent–adolescent communication about sex-related topics and HIV testing, United States. 2006–2013

ABSTRACT Adolescents need information about sex-related topics in order to reduce risk behavior and engage in healthy sexual decision-making. Parents have the potential to be an important source of this information. Using the 2006–2010 and 2011–2013 National Survey of Family Growth, we examined associations between parent–adolescent communication before age 18 about sex-related topics and HIV testing among respondents aged 18–24 that ever had sexual intercourse (women = 3893; men = 3359). Analyses showed that for both men and women, discussing how to prevent HIV/AIDS and how to use a condom with a parent before age 18 were positively associated with HIV testing. Among women only, discussions about methods of birth control, where to get birth control, and STDs were positively associated with HIV testing. Developing strategies and interventions to facilitate parent–adolescent communication about sex-related topics, particularly HIV prevention and condom use, may be important to increase HIV testing among young women and men.

High Human Immunodeficiency Virus Incidence and Prevalence and Associated Factors Among Adolescent Sexual Minority Males—3 Cities, 2015

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 Fishers 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.