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

Abstract

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.