Age and sex differences in genetic and environmental factors for self-rated health: a twin study

J Gerontol B Psychol Sci Soc Sci. 2001 May;56(3):S171-8. doi: 10.1093/geronb/56.3.s171.

Abstract

Objectives: Self-rated health has been shown to be a predictor for future health status and mortality. The purpose of this study was to investigate age-group and sex differences in genetic and environmental sources of variation for self-rated health.

Methods: A sample of twins from the Swedish Twin Registry participated in a computer-assisted telephone interview with assessment of self-rated health. Structural equation model analyses on 1,243 complete twin pairs provided estimates of genetic and environmental components of variance.

Results: Individual differences primarily reflected individual specific environmental influences at all ages. The increase in total variance across age groups was primarily due to genetic influences in the age groups 45--74 years and greater environmental influences in the oldest age group (>74). No significant sex differences were found in variance components.

Discussion: Genetic variance in the two middle age groups (45--74) could reflect genetic susceptibility to age-dependent illnesses not yet expressed in the youngest group. The findings suggest that it might be more fruitful to explore the origins of individual differences for self-rated health in the context of an individual's age and birth cohort rather than in the context of sex.

Publication types

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

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Age Factors
  • Aged
  • Analysis of Variance
  • Attitude to Health*
  • Environmental Exposure / adverse effects*
  • Female
  • Genetic Predisposition to Disease / genetics*
  • Health Status*
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical
  • Mortality
  • Population Surveillance
  • Predictive Value of Tests
  • Registries
  • Sex Characteristics*
  • Sex Distribution
  • Sweden / epidemiology