All-cause mortality in the Aberdeen 1921 birth cohort: effects of socio-demographic, physical and cognitive factors

BMC Public Health. 2008 Sep 10:8:307. doi: 10.1186/1471-2458-8-307.

Abstract

Background: Childhood intelligence predicts mortality throughout most of the life span. However, it is unknown whether its effect persists into advanced old age.

Methods: The Aberdeen Birth Cohort born in 1921 (n = 354) and that had an IQ test as part of the national Scottish Mental Survey of 1932 were seen in 1997 at age 76 years when childhood and adult socio-environmental, medical and cognitive data were collected. Participants were followed until May 2007 and vital status determined from the General Register for Scotland records. Univariate associations between baseline variables and mortality were determined and multivariable survival analysis performed with Cox's proportional hazards modelling.

Results: One hundred and fifty-eight (44.6%) of the 354 cohort members had died by the census date. Significantly more men (n = 102) died during follow-up than women (n = 56, chi2 = 5.27, p = .022). Lower scores on four of the six cognitive tests at age 76 years were associated with increased mortality, but not IQ age 11. Survival was associated with gender (H.R. 0.32, 95% C.I. 0.11-0.89 for women versus men), peak expiratory flow rate (H.R. 0.997, 95% C.I. 0.992-1.001 per l/min) and the Uses of Common Objects test (H.R. 0.91, 95% C.I. 0.82-1.01)

Conclusion: Both physical and psychological variables independently predicted survival in old age: respiratory function and executive function in particular. Male gender conferred increased risk of mortality and this was not explained by the broad range of socio-environmental, mental ability and health status variables examined in the study.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Alcohol Drinking / epidemiology
  • Alcohol Drinking / psychology
  • Child
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • Health Status Indicators*
  • Humans
  • Intelligence
  • Interviews as Topic
  • Male
  • Mental Health*
  • Mortality*
  • Proportional Hazards Models
  • Registries
  • Scotland / epidemiology
  • Sex Factors
  • Socioeconomic Factors
  • Vital Statistics