A national representative sample with approximately 14,000 participants were selected from the 1st wave (94-95, adolescents in grades 7-12), 3rd wave (01-02, young adults age 18-26), and 4th wave (07-08, adults age 24-32) of Add Health data (Harris et al., 2009). Participants self-reported their past year’s involvement in non-aggressive delinquency, aggressive delinquency and alcohol use in both 1st and 3rd wave. In addition to demographics including age, gender, ethnicity, participants also reported other confounders, such as parent-child relationship, self-esteem, social support, school achievement, future uncertainty, marriage status, current employment status, many of which were time-varying. Self-reported criminal justice involvement in 4thwave served as outcome. Marginal structural models with inverse-probability-of-treatment weighting was employed to account for time-varying confounders and estimate causal direct and mediation effects in the presence of moderation (Coffman & Zhong, 2012; Robins et al., 2000).
Results suggest that involvement in adolescent antisocial behavior, no matter non-aggressive or aggressive delinquency, predicted young adult alcohol use, but in opposite direction (B = 0.68 and -0.12). They also positively predicted involvement in antisocial behavior in young adulthood (B = 1.26 and 1.73), which were moderated by gender. Females demonstrated greater susceptibility to adolescent antisocial behavior. However, while both subtypes committed in adolescence and young adulthood predicted criminal justice involvement in adulthood, young adult alcohol use only mediated adolescent aggressive delinquency (B = 0.27), not non-aggressive delinquency (B = -0.01, ns). The results highlight the potential distinct mechanisms of alcohol use on predicting desistence of different subtypes of antisocial behavior and emphasize the moderation of gender.