The structure of alcohol dependence in the community

Drug Alcohol Depend. 2006 Jan 4;81(1):21-6. doi: 10.1016/j.drugalcdep.2005.05.014. Epub 2005 Jul 7.

Abstract

Background: Although dependence on alcohol appears to be a reliable unitary construct, abuse has not found a similar level of support as a separate construct. This paper describes a confirmatory factor analysis of the DSM-IV alcohol abuse and dependence criteria in a general population sample.

Methods: Data from alcohol drinkers (n = 7746) were obtained from a cross-sectional study of a large, representative sample of the Australian general population. One- and two-factor solutions for the DSM-IV criteria for abuse and dependence (assessed by CIDI-Auto) were compared using confirmatory factor analysis.

Results: Approximately 74% of Australians had used alcohol 12 or more times in the past year and 19% met at least one DSM-IV alcohol abuse or dependence criterion. Overall 6% met criteria for an alcohol use disorder (1.9% abuse, 4.1% dependence). More men than women met criteria for an alcohol use disorder and the prevalence of alcohol use disorders decreased with increasing age. Both one- and two-factor solutions from the confirmatory factor analyses provided an adequate fit to the data for the overall sample. The correlation between the abuse and dependence factors in the two-factor model was extremely high (0.95).

Conclusion: Alcohol abuse and dependence criteria were most parsimoniously described by a single continuous construct incorporating all eleven abuse and dependence criteria.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Alcohol Drinking / epidemiology*
  • Alcoholism / diagnosis
  • Alcoholism / epidemiology*
  • Cross-Sectional Studies
  • Data Collection
  • Diagnostic and Statistical Manual of Mental Disorders
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • New South Wales
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Sex Factors