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Genetic and environmental contributions to long-term sick leave and disability pension: a population-based study of young adult Norwegian twins.
- Source :
-
Twin research and human genetics : the official journal of the International Society for Twin Studies [Twin Res Hum Genet] 2013 Aug; Vol. 16 (4), pp. 759-66. Date of Electronic Publication: 2013 Jun 07. - Publication Year :
- 2013
-
Abstract
- Although exclusion from the workforce due to long-term sick leave (LTSL) and disability pension (DP) is a major problem in many Western countries, the etiology of LTSL and DP is not well understood. These phenomena have a strong association as most patients receiving DP have first been on LTSL. However, only a few of those on LTSL end up with DP. The present study aimed to investigate the common and specific genetic and environmental risk factors for LTSL and DP. The present study utilizes a population-based sample of 7,710 young adult twins from the Norwegian Institute of Public Health Twin Panel, which has been linked to the Historical-Event Database (FD-Trygd; 1998-2008). Univariate and bivariate twin models were fitted to determine to what degree genetic and environmental factors contribute to variation in LTSL and DP. The estimated heritabilities of LTSL and DP were 0.49 and 0.66, respectively. There was no evidence for shared environmental or sex-specific factors. The phenotypic-, genetic-, and non-familial environmental correlations between the variables were 0.86, 0.82, and 0.94, respectively. Our results indicate that familial transmission of LTSL and DP is due to genetic and not environmental factors. The risk factors contributing to LTSL and DP were mainly shared, suggesting that what increases risk for LTSL also increases risk for DP. However, a non-negligible part of the genetic variance was not shared between the variables, which may contribute to explaining why some progress from LTSL to DP, whereas others return to work.
- Subjects :
- Adult
Female
Genetics, Population
Humans
Insurance, Disability trends
Male
Models, Theoretical
Norway epidemiology
Risk Factors
Sick Leave trends
Young Adult
Persons with Disabilities statistics & numerical data
Gene-Environment Interaction
Genetic Predisposition to Disease
Insurance, Disability statistics & numerical data
Pensions statistics & numerical data
Sick Leave statistics & numerical data
Twins genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1832-4274
- Volume :
- 16
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Twin research and human genetics : the official journal of the International Society for Twin Studies
- Publication Type :
- Academic Journal
- Accession number :
- 23743022
- Full Text :
- https://doi.org/10.1017/thg.2013.36