How alike are young non-drinkers, former-drinkers, low-risk drinkers, and hazardous drinkers?

Addict Behav. 2014 Aug;39(8):1258-64. doi: 10.1016/j.addbeh.2014.04.008. Epub 2014 Apr 13.

Abstract

The aim of this study was to examine whether - in terms of personality characteristics and beliefs--former-drinkers and people who have never consumed alcohol exist on a continuum that includes low-risk drinkers and hazardous drinkers, or are distinct groups. An online questionnaire hosted on a secure server was completed by 1418 young people (642 men and 776 women) aged 16-21 living in South-East England. Participants' scores on the Alcohol Use Disorders Identification Test (AUDIT) were used to classify them as non-drinkers, former-drinkers, low-risk drinkers or hazardous drinkers. Multinomial logistic regression identified eight significant multivariate correlates that explained 39% of the variance in men's AUDIT category membership (χ(2)(24) = 263.32, p < .01), and seven significant multivariate correlates that explained 41% of the variance in women's AUDIT category membership (χ(2)(21) = 332.91, p < .01). The results suggest that non-drinkers and former-drinkers are more similar to each other than they are to both low risk and hazardous drinkers. We should not, therefore, treat these groups of young people as representing a drinking continuum. In particular, interventions for high risk young drinkers may be more effective if distinguished from general campaigns intended for all young people.

Keywords: AUDIT; Alcohol; Attitude; Personality; Youth.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Alcohol Abstinence / psychology*
  • Alcohol Abstinence / statistics & numerical data
  • Alcohol Drinking / epidemiology
  • Alcohol Drinking / psychology*
  • Cross-Sectional Studies
  • England / epidemiology
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Logistic Models
  • Male
  • Surveys and Questionnaires
  • Temperance / psychology*
  • Temperance / statistics & numerical data
  • Young Adult