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Related Experiment Videos

Alcohol relapse repetition, gender, and predictive validity.

William H Zywiak1, Robert L Stout, Winston B Trefry

  • 1Decision Sciences Institute, Pacific Institute for Research and Evaluation, Providence, RI 02906, USA. zywiak@pire.org

Journal of Substance Abuse Treatment
|May 24, 2006
PubMed
Summary

This study developed a scoring algorithm to classify alcohol relapse types. Men showed more consistent relapse patterns than women, with distinct triggers for initial posttreatment relapses.

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Area of Science:

  • Psychology
  • Addiction Research
  • Clinical Psychology

Background:

  • Previous research on the Reasons for Drinking Questionnaire (RDQ) yielded interesting findings but suffered from low consistency in relapse type (63%).
  • Objective classification of alcohol relapse types is crucial for understanding and intervening in addiction.
  • Gender differences in relapse patterns require further investigation.

Purpose of the Study:

  • To introduce and validate a scoring algorithm for objectively classifying alcohol relapse into three types: negative affect, social pressure, or craving/cued.
  • To examine gender differences in the types of initial posttreatment alcohol relapses.
  • To identify predictors for different relapse types in men and women.

Main Methods:

  • Development of a scoring algorithm to categorize alcohol relapses based on the RDQ.

Related Experiment Videos

  • Analysis of relapse consistency between the first and second relapse episodes.
  • Examination of gender-specific relapse patterns and their correlation with psychological assessments (e.g., Beck Depression Inventory, Alcohol Dependence Scale).

    • Main Results:

    • The scoring algorithm objectively classifies alcohol relapses into negative affect, social pressure, or craving/cued types.
    • Relapse consistency was significantly higher in men (81%) compared to women (44%).
    • Women were more prone to negative affect relapses, while men were more likely to experience social pressure relapses.
    • For men, negative affect relapses were predicted by Beck Depression Inventory scores.
    • For women, negative affect relapses were predicted by Alcohol Dependence Scale scores, and craving/cued relapses by situational craving.

    Conclusions:

    • The developed scoring algorithm provides an objective method for classifying alcohol relapse types.
    • Significant gender differences exist in alcohol relapse patterns and their predictors.
    • Understanding these gender-specific triggers is vital for tailoring more effective relapse prevention strategies.