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RESEARCH ARTICLE |
a Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden
b Department of Psychology, University of Southern California, Los Angeles
Pia Svedberg, Department of Medical Epidemiology, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden E-mail: Pia.Svedberg{at}mep.ki.se.
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 4574 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 (4574) 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.
This article has been cited by other articles: (Search Google Scholar for Other Citing Articles)
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P. Svedberg, M. Gatz, P. Lichtenstein, S. Sandin, and N. L. Pedersen Self-Rated Health in a Longitudinal Perspective: A 9-Year Follow-Up Twin Study J. Gerontol. B. Psychol. Sci. Soc. Sci., November 1, 2005; 60(6): S331 - S340. [Abstract] [Full Text] [PDF] |
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D. J. H. Deeg and D. M. W. Kriegsman Concepts of Self-Rated Health: Specifying the Gender Difference in Mortality Risk Gerontologist, June 1, 2003; 43(3): 376 - 386. [Abstract] [Full Text] [PDF] |
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