To better understand the longitudinal relations between risk and relationship variables during early to middle adolescence, we employed latent variable cross-lagged panel models using data (N = 1,050) from the National Institute of Child Health and Human Development Study. Results showed self-reported individual risk behavior ([beta] = 0.77-0.88)…

The authors test biosocial models that posit interactions between biological variables (testosterone, estradiol, pubertal status, and pubertal timing) and social context variables (family, peer, school, and neighborhood) in predicting adolescent involvement with cigarettes and alcohol in a sample of 409 adolescents in Grades 6 and 8. Models…