Back to Search Start Over

Part-time Work or Social Benefits as Predictors for Disability Pension: a Prospective Study of Swedish Twins

Authors :
Pia Svedberg
Annina Ropponen
Kristina Alexanderson
Source :
International Journal of Behavioral Medicine. 21:329-336
Publication Year :
2013
Publisher :
Springer Science and Business Media LLC, 2013.

Abstract

To a large extent, it is unknown whether work absences other than sickness absence (SA) covered by social benefits such as parental leave, rehabilitation, or unemployment would predict disability pension (DP).We investigated whether part-time work or having received social benefits for sick leave, rehabilitation, or parental leave would be predictors for DP taking into account familial confounding (genetics and shared environment, e.g., social background) in these associations.A sample of 17,640 same-sex Swedish twin ndividuals [corrected] was followed from 2000 to 2008 via national registries for their receipt of social benefits and DP including additional baseline questionnaire data. Cox proportional hazard ratios were estimated.Full-time work was less common (47 %) among those being granted DP during the follow-up compared to those without DP (69 %). Self-reported full-time work, part-time work (≥50 %), and self-employment and registry data of caring for a child were the direct protective factors, whereas self-reported part-time work (50 %) and long-term SA and registry data on SA, compensation for rehabilitation, and benefits during return to work were the direct risk factors for DP, i.e., independent of familial confounding.Part-time work and social benefits play different roles in predicting DP. Thus, full-time work, part-time work (≥50 %), self-employment, and benefits for parental leave seem to protect from DP. In contrast, SA and part-time work (50 %) carry a highly increased risk for DP. Although these associations were mainly independent from several mediating factors, some of the associations seem to be influenced by family situation, social benefits, or severity of diseases.

Details

ISSN :
15327558 and 10705503
Volume :
21
Database :
OpenAIRE
Journal :
International Journal of Behavioral Medicine
Accession number :
edsair.doi.dedup.....405da9c8d7eb7eee9f38ec1f048dee09
Full Text :
https://doi.org/10.1007/s12529-013-9303-4