Social Support as a Predictor of Disability Pension: The Finnish Health 2000 Study

Objective: Social support at work and in private life was examined as a predictor of disability pension in the population-based Finnish Health 2000 study. Methods: Social support was measured in a nationally representative sample comprising of 3414 employees aged 30 to 64 years. Disability pensions...

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Bibliographic Details
Published in:Journal of occupational and environmental medicine 2010-07, Vol.52 (7), p.733-739, Article 733
Main Authors: Sinokki, Marjo, Hinkka, Katariina, Ahola, Kirsi, Gould, Raija, Puukka, Pauli, Lönnqvist, Jouko, Virtanen, Marianna
Format: Article
Language:English
Subjects:
Adult
Alcohol Drinking - epidemiology
Biological and medical sciences
Body Mass Index
Disability pensions
Employees
Female
Finland - epidemiology
Health behavior
Humans
Male
Medical sciences
Middle Aged
Miscellaneous
Occupational health
Occupational medicine
Original Articles
Pensions
Prospective Studies
Public health. Hygiene-occupational medicine
Retirement - statistics & numerical data
Sick Leave - statistics & numerical data
Smoking - epidemiology
Social Support
Supervisors
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Summary:Objective: Social support at work and in private life was examined as a predictor of disability pension in the population-based Finnish Health 2000 study. Methods: Social support was measured in a nationally representative sample comprising of 3414 employees aged 30 to 64 years. Disability pensions extracted from the registers of the Finnish Centre for Pensions were followed up across 6 years. Results: Low social support from supervisors was associated with disability pension with an odds ratio of 1.70 (95% confidence interval, 1.21 to 2.38) when adjusted with sociodemographic and health behavior variables. After adjustment for baseline perceived health, the associations between supervisor support and disability pension strongly attenuated. Conclusions: Low social support from supervisors predicts forthcoming work disability but the relationship is affected by self-reported nonoptimal health at baseline.
ISSN:1076-2752
1536-5948
DOI:10.1097/JOM.0b013e3181e79525