Individual- and Community-Level Factors in the STD Status of Justice-Involved Youth: Multi-Group, Exploratory Two-Level Analysis.

Justice-involved youth display higher prevalence rates of sexually transmitted diseases (STDs), in comparison with youth in the general population, highlighting a critical public health concern. Individual factors are important predictors of STDs, but only provide a partial understanding of this public health issue. Communities experiencing higher levels of disorder and lower levels of cohesion tend to have fewer institutional resources available, which may impact sexual risk behavior and STDs. However, few studies have examined the association between community characteristics and STD prevalence among adolescents. The current study examined community-level (n = 106) characteristics and individual-level attributes in explaining STDs among justice-involved youth (n = 1233: n = 515 female; n = 718 male). At the individual level, results showed older males and those with more drug-related problems were more likely to be STD positive, while females with more sexual partners and those with less drug-related problems were more likely to be STD positive. At the community level, females residing in areas with fewer educated residents were more likely to be STD positive. These gender differences were significant, suggesting a gendered perspective is important for understanding STD infection. The justice system represents a critical opportunity in the treatment and prevention of STDs for youth.

Health Risk Behavior Among Justice Involved Male and Female Youth: Exploratory, Multi-Group Latent Class Analysis.

BACKGROUND: Youth involved in the juvenile justice system experience a disproportionate prevalence of serious mental health issues, substance abuse, and are at an increased risk of engaging in risky sexual practices. Gender differences exist, with girls at a markedly greater risk of acquiring a sexually transmitted disease. OBJECTIVES: The present study seeks to determine if there are subgroups of male and female youth who differ in their health risk behavior. If so, do any male or female subgroups at different levels of health risk differ in regard to their sociodemographic and psychological factors, and finally, what are intervention/service delivery implications of these differences. METHODS: Youth were participants in an innovative health service at a centralized intake facility located in a large southeastern U.S. city. Latent class analysis and multinomial logistic regression is utilized to examine the heterogeneity of health risk behaviors across gender groups in a sample of 777 newly arrested youth. RESULTS: Results indicate a three class solution provided the optimal fit with the data for each gender group: a Lower Health Risk group, a Higher Health Risk group, and a Highest Health Risk group. Multinomial logistic regression analysis identified significant sociodemographic and depression effects among both male and female youth. Conclusions/Importance: Youth characterized by risky sexually behavior, elevated depression, and drug involvement should be the focus of integrated intervention services. This study documents the critical need for front end, juvenile justice intake facilities to provide behavioral and public health screening, with treatment follow-up, on newly arrested youth.