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A model to determine the likely age of an adolescent's first drink of alcohol

  • Samuel Kuperman
  • , Grace Chan
  • , John R. Kramer
  • , Leah Wetherill
  • , Kathleen K. Bucholz
  • , Danielle Dick
  • , Victor Hesselbrock
  • , Bernice Porjesz
  • , Madhavi Rangaswamy
  • , Marc Schuckit
  • University of Iowa
  • University of Connecticut
  • Indiana University-Purdue University Indianapolis
  • Washington University St. Louis
  • Virginia Commonwealth University
  • SUNY Downstate Health Sciences University
  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

OBJECTIVE: With the use of a new cohort of adolescent subjects, predictors from the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) interview and the Achenbach Youth Self Report (YSR) were combined to model age of first drink (AFD). METHODS: Subjects consisted of 820 adolescents (ages 14-17) drawn from the current phase of the Collaborative Study on the Genetics of Alcoholism. Three Cox proportional hazards models were considered. Model 1 contained SSAGA variables equivalent to AFD predictors from our previous study: interview age, family history of alcohol dependence, and number of conduct disorder symptoms. Model 2 incorporated 2 additional SSAGA questions (best friends drink and smoked a cigarette before a reported AFD) plus 8 YSR-derived scale scores. Model 3 was a reduced version of model 2, retaining only significant predictors. RESULTS: Model 2 was a significant improvement over model 1. Model 3 was the best and the most parsimonious of the 3 with respect to likelihood ratio and Wald x2 tests and retained only 5 variables from model 2. Included variables were the following: (1) best friends drink, (2) membership in a high-risk alcohol dependence family, (3) number of conduct disorder symptoms, (4) YSR externalizing score, and (5) YSR social problems score.

Original languageEnglish
Pages (from-to)242-248
Number of pages7
JournalPediatrics
Volume131
Issue number2
DOIs
StatePublished - Feb 2013

Keywords

  • Age of first use
  • Alcohol/drug use
  • Modeling age of first use
  • Predictor variables

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