Nicotine dependence severity as a cross-sectional predictor of alcohol-related problems in a sample of adolescent smokers

Nicotine Tob Res. 2010 May;12(5):521-4. doi: 10.1093/ntr/ntq024. Epub 2010 Mar 15.

Abstract

Introduction: Given the prevalence of alcohol use among adolescents and its negative consequences, it is important to learn more about correlates of alcohol-related problems in this population. Cigarette smoking appears to be associated with alcohol-related problems in adolescents. The purpose of this study was to assess cigarettes smoked per day and nicotine dependence (ND) severity as predictors of alcohol-related problems in cross-sectional models, using data from a smoking cessation clinical trial for adolescents.

Method: Data obtained at intake were used to assess smoking-related variables as cross-sectional predictors of alcohol-related problems in models along with drinks per week and key demographics, using hierarchical multiple regression.

Results: ND severity, as measured using the modified Fagerström Tolerance Questionnaire, significantly predicted alcohol-related problems, both when this score included and did not include an item concerning cigarettes smoked per day. A separate continuous item capturing cigarettes per day did not predict alcohol-related problems.

Discussion: ND severity predicted alcohol-related problems in cross-sectional regression models, holding constant alcohol consumption and key demographics. This suggests that ND severity may be a clinical indicator of alcohol-related problems among adolescent smokers. To our knowledge, this is the first analysis of associations between smoking and alcohol involvement in a sample of adolescent smokers participating in a clinical trial.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior*
  • Alcohol-Related Disorders / epidemiology*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Risk Factors
  • Tobacco Use Disorder / epidemiology*