The impact of a population-based multi-factorial lifestyle intervention on alcohol intake: the Inter99 study

Prev Med. 2009 Aug-Sep;49(2-3):115-21. doi: 10.1016/j.ypmed.2009.06.007. Epub 2009 Jun 23.

Abstract

Purpose: To investigate the effect of screening and five years of multi-factorial lifestyle intervention on changes in alcohol intake in a general population.

Methods: The study was a pre-randomized intervention study on lifestyle, Inter99 (1999-2006), Copenhagen, Denmark. Participants in the intervention group (n=6 091) had at baseline a medical health examination and a face-to-face lifestyle counselling. Individuals at high risk of ischemic heart disease were repeatedly offered both individual and group-based counselling. The control group (n=3 324) was followed by questionnaires. Alcohol intake was measured by questionnaires. Changes were analysed by multilevel analyses.

Results: Binge drinking decreased both in men and women at three and five-year follow-ups (men: five-year: net-change:-0.13; p=0.03; women: five-year: net-change:-0.08; p=0.04). Furthermore, in women the ratio between wine and total alcohol was increased compared with the control group at five-year follow-up (net-change: 0.04; p<0.01). In men with a high intake of alcohol (>21 drinks per week) the effect on total alcohol intake was maintained at five-year follow-up (net-change: -3.7; p=0.01). No significant effects were found in women on total alcohol intake.

Conclusion: Multi-factorial lifestyle intervention, including low intensity alcohol intervention, improved long-term alcohol habits in a general population.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Adult
  • Alcohol Drinking / epidemiology*
  • Alcohol Drinking / prevention & control*
  • Alcohol-Related Disorders / complications
  • Alcohol-Related Disorders / prevention & control
  • Cohort Studies
  • Denmark
  • Directive Counseling*
  • Female
  • Humans
  • Life Style*
  • Male
  • Middle Aged
  • Myocardial Ischemia / prevention & control
  • Sex Factors
  • Socioeconomic Factors
  • Surveys and Questionnaires