title: A discrete-time survival analysis of the relationship between truancy and the onset of marijuana use.
abstract: OBJECTIVE
  Despite truancy being a common behavior among teenagers, little research has assessed its deleterious effects. In this study, the effect of truancy on the initiation of marijuana use was examined.
  
  
  METHODS
  Using data from the Rochester Youth Development Study (a longitudinal sample of predominantly minority youth), discrete time survival analyses were estimated to assess the effect of truancy on the subsequent initiation of marijuana use. The current analyses used 5 years of panel data collected from youth and their primary caregiver every 6 months throughout adolescence.
  
  
  RESULTS
  Truancy was a significant predictor of the initiation of marijuana use during each subsequent 6-month period. The effect was more robust in earlier compared with later adolescence. These effects persisted after controlling for potential risk factors that are shared by both truancy and drug use, including commitment to school, grade-point average, delinquent values, prior involvement in delinquency, peer reactions to delinquency, parental monitoring, affective ties to the child, and positive parenting.
  
  
  CONCLUSIONS
  We argue that the effect is, in part, the result of reduced social control (i.e., disengagement from pro-social entities such as school) and, in part, the result of the unsupervised, unmonitored time afforded by truancy. Prevention initiatives aimed at reducing truancy also may have a beneficial impact on preventing the initiation of drug use among adolescents.
authors.affiliation: Department of Psychology, Colorado State University, Fort Collins, Colorado 80523-1876, USA. kim.henry@colostate.edu
authors.forename: Kimberly L
authors.initials: KL
authors.lastname: Henry
authors.forename: Terence P
authors.initials: TP
authors.lastname: Thornberry
authors.forename: David H
authors.initials: DH
authors.lastname: Huizinga
mesh_terms: D000041:Absenteeism; D000293:Adolescent; D000367:Age Factors; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008385:Marijuana Smoking / Q000453:epidemiology* / Q000517:prevention & control; D008960:Models, Psychological; D012307:Risk Factors; D012737:Sex Factors; D012931:Social Environment; D013334:Students / Q000523:psychology; D016019:Survival Analysis; D013997:Time Factors