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Over 8,000 adolescents and young adults (4,111 males; 4,085 females) reported on several HIV-related risk behaviors during enrollment into 10 service demonstration projects targeted to youth living with, or at risk for, HIV. Distinct risk patterns emerged by gender when predicting HIV serostatus (versus unknown serostatus/negative serostatus). Males who had injection drug risk histories, had sex with an HIV positive partner, had sexually transmitted diseases, had sex with males, and/or were homeless had an inflated risk of being HIV positive. Females who engaged in sex with an HIV partner, had sex with an injection drug user, and/or had sexually transmitted diseases, were at the highest HIV risk. For both samples, engaging in sex with women reduced the likelihood of HIV positive status. Very basic information about risk factors obtained at service intake offers important information about HIV status of "high risk" youth presenting for care in community programs, as well as suggests clear risk factors for targeted preventive efforts.

This paper uses confirmatory structural equation models to develop and test a theoretical model for understanding the service utilization history of 4679 youth who received services from 10 national HIV/AIDS demonstration models of youth-appropriate and youth-attractive services funded by the Special Projects of National Significance (SPNS) Program, HIV/AIDS Bureau, Health Resources and Services Administration. Although the projects differ from one another in the areas of emphasis in their service models, each is targeted to youth at high risk for HIV, or those youth who have already contracted HIV. Collectively, the projects represent a comprehensive adolescent HIV service model. This paper examines the characteristics of the services provided to young people ranging from outreach to intensive participation in medical treatment. Major typologies of service utilization are derived empirically through exploratory factor and cluster analysis methods. Confirmatory structural equation modeling methods are used to refine the exploratory results using a derivation and replication strategy and methods of statistical estimation appropriate for non-normally distributed service utilization indicators. The model hypothesizes that youth enter the service system through a general construct of connectedness to a comprehensive service model and through service-specific methods, primarily of outreach or emergency services. Estimates are made of the degree to which a comprehensive service model drives the services as opposed to specific service entry points.

This article describes data from 4,111 males and 4,085 females participating in 10 HIV/AIDS service demonstration projects. The sample was diverse in age, gender, ethnicity, HIV status, and risk for HIV transmission. Logistic regression was used to determine the attributes that best predict substance abuse. Males who were younger; HIV positive; homeless; involved in the criminal justice system; had a sexually transmitted disease (STD); engaged in survival sex; and participated in risky sex with men, women, and drug injectors were most likely to have a substance abuse history. For females, the same predictors were significant, with the exception of having an STD. Odds ratios as high as 6 to 1 were associated with the predictors. Information about sexual and other risk factors also was highly predictive of substance abuse issues among youth.