Self-reported life satisfaction and 20-year mortality in healthy Finnish adults

Am J Epidemiol. 2000 Nov 15;152(10):983-91. doi: 10.1093/aje/152.10.983.

Abstract

The authors investigated the role of self-reported life satisfaction in mortality with a prospective cohort study (1976-1995). A nationwide sample of healthy adults (18-64 years, n = 22,461) from the Finnish Twin Cohort responded to a questionnaire about life satisfaction and known predictors of mortality in 1975. A summary score for life satisfaction (LS), defined as interest in life, happiness, loneliness, and general ease of living (scale range, 4-20), was determined and used as a three-category variable: the satisfied (LS, 4-6) (21%), the intermediate group (LS, 7-11) (65%), and the dissatisfied (LS, 12-20) (14%). Mortality data were analyzed with Cox regression. Dissatisfaction was linearly associated with increased mortality. The age-adjusted hazard ratios of all-cause, disease, or injury mortality among dissatisfied versus satisfied men were 2.11 (95% confidence interval (CI): 1.68, 2.64), 1.83 (95% CI: 1.40, 2.39), and 3.01 (95% CI: 1.94, 4.69), respectively. Adjusting for marital status, social class, smoking, alcohol use, and physical activity diminished these risks to 1.49 (95% CI: 1.16, 1.92), 1.35 (95% CI: 1.01, 1.82), and 1.93 (95% CI: 1.19, 3.12), respectively. Dissatisfaction was associated with increased disease mortality, particularly in men with heavy alcohol use (hazard ratio = 3.76, 95% CI: 1.61, 8.80). Women did not show similar associations between life satisfaction and mortality. Life dissatisfaction may predict mortality and serve as a general health risk indicator. This effect seems to be partially mediated through adverse health behavior.

Publication types

  • Research Support, Non-U.S. Gov't
  • Twin Study

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Cause of Death
  • Cohort Studies
  • Female
  • Finland / epidemiology
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Mortality / trends*
  • Multivariate Analysis
  • Personal Satisfaction*
  • Proportional Hazards Models
  • Quality of Life*
  • Surveys and Questionnaires
  • Wounds and Injuries / mortality