title: Truancy's effect on the onset of drug use among urban adolescents placed at risk.
abstract: OBJECTIVE
  To examine the relationship between truancy and the onset of drug use.
  
  
  METHODS
  Discrete time survival analysis was used to assess the effect of truancy on initiation of drug use after adjusting for several potential confounders from age 11 to 15 years, using data from the Denver Youth Survey, a longitudinal sample of youth who grew up in socially disorganized neighborhoods of Denver, CO.
  
  
  RESULTS
  In this population, truancy was a significant predictor of initiation of alcohol, tobacco, and marijuana use. The robust effect of truancy persisted after controlling for potential confounders, including school performance, school isolation, association with delinquent peers, personal delinquent values, parental monitoring, and family attachment.
  
  
  CONCLUSIONS
  Although this study cannot point to a causal relationship, we argue that the effect may be at least in part due to the unsupervised, unmonitored time with peers that truancy affords a young person. Truancy prevention is a field of research that needs much more attention. Keeping youth in school every day is likely to have many beneficial effects, and effective truancy prevention efforts may also help to prevent or delay the onset of drug use among adolescents.
authors: Department of Psychology, Colorado State University, Fort Collins, Colorado 80523, USA. kim.henry@colostate.edu
authors: Kimberly L
authors: KL
authors: Henry
authors: David H
authors: DH
authors: Huizinga
mesh_terms: D000041:Absenteeism; D000293:Adolescent; D000294:Adolescent Behavior; D015984:Causality; D002648:Child; D003120:Colorado / Q000453:epidemiology; D015986:Confounding Factors, Epidemiologic; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D011159:Population Surveillance; D016016:Proportional Hazards Models; D012111:Residence Characteristics / Q000145:classification / Q000706:statistics & numerical data; D018570:Risk Assessment; D017678:Sex Distribution; D019966:Substance-Related Disorders / Q000453:epidemiology*; D016019:Survival Analysis; D014504:Urban Health / Q000706:statistics & numerical data*