Alcohol and survival in the Italian rural cohorts of the Seven Countries Study

Int J Epidemiol. 2000 Aug;29(4):667-71. doi: 10.1093/ije/29.4.667.

Abstract

Background: Middle-aged men who regularly drink a moderate amount of alcohol have lower mortality rates from all causes in comparison with abstainers and heavy drinkers. This cohort study looks at the relationship between alcohol consumption and long-term survival, adjusting for smoking habit and physical activity.

Methods: In 1965, a total of 1536 Italian males aged 45-65 years underwent an examination which included: a general questionnaire, anthropometric measurements, an overall physical examination, ECG recording, blood pressure and serum cholesterol measurements and measurement of food consumption including alcohol. The cohort was followed for total mortality from 1965 to 1995.

Results: During a period of 30 years 1096 deaths occurred. Age-adjusted life expectancy for men assuming a mean daily quantity of 63 g of alcohol (range 4-7 drinks per day) was 21.6 +/- 0.4 years, roughly 2 years more than men taking a mean quantity of 3.7 g (</=1 drink) and men consuming >10 drinks per day. Taking smoking habit into account, the longest survival of 22.4 +/- 0.5 years was observed in non-smokers drinking 4-7 drinks daily; the lowest, 18.5 +/- 0.7 years, in smokers drinking >10 drinks. Stratifying for physical activity, the longest survival (23.4 +/- 0. 7 years) was experienced by men engaged in heavy physical activity at work drinking 1-4 drinks per day.

Conclusions: The relationship between life expectancy and alcohol consumption (97% wine in this Italian cohort and mostly red wine) is confirmed to be non-linear. Men aged 45-64 at entry drinking about 5 drinks per day have a longer life expectancy than occasional and heavy drinkers.

MeSH terms

  • Aged
  • Alcohol Drinking / epidemiology*
  • Exercise
  • Follow-Up Studies
  • Humans
  • Italy / epidemiology
  • Life Expectancy*
  • Male
  • Middle Aged
  • Mortality
  • Proportional Hazards Models
  • Rural Population
  • Smoking / epidemiology
  • Survival Analysis