Does mastering have an effect on disability pensioning independent of health, and may it explain divides of education in the Oslo Health Survey?
OBJECTIVE
Does mastering abilities have an independent effect on disability pensioning? Are some of the large divides across education explained by mastering factors when adjusted for health?


METHODS
Data from the National Insurance Administration were linked to a health survey of 10,720 Oslo inhabitants aged 40, 45, and 60 years, 46% of the total populations in these age groups who were invited to a Health Survey in 2000-01. Measures of general health, chronic somatic diseases, psychiatric symptoms, and musculoskeletal pain were self-reported. The mastering test Generalized Self Efficacy was used.


RESULTS
10.5% of our eligible sample had disability pension at the time of the survey. The risk was more than five times higher for those with primary school than for those with university education and 50% higher for women than for men. Lowest score on the Generalized Self Efficacy test (poor mastering) had an age-, gender-, and health-adjusted OR of 2.4 compared with the highest level of mastering. Adjusting for mastering lowered the educational divide but not that of gender, when health indicators were taken into consideration Those reporting poor general health had a seven times higher risk than those with good health, and those with a chronic somatic disease, musculoskeletal pain, or poor psychiatric health had a somewhat lower increase in risk of disability pension. Health measures did reduce the impact of education, but not of gender, when adjusted for mastering.


CONCLUSIONS
Poor mastering was associated with disability pensioning, and reduced the differences across educational level and health but not across gender.
Valset
Kirsti
K
Department of General Practice and Community Medicine, University of Oslo, Norway. kirsti.valset@nova.no
Naper
Sille Ohrem
SO
Claussen
Bjørgulf
B
Dalgard
Odd Steffen
OS
D000328:Adult; D004185:Disability Evaluation; D004522:Educational Status; D005260:Female; D006304:Health Status; D006801:Humans; D007348:Insurance, Health; D008297:Male; D008603:Mental Health; D008875:Middle Aged; D009664:Norway / Q000453:epidemiology / Q000208:ethnology; D012179:Retirement / Q000706:statistics & numerical data; D012307:Risk Factors; D020377:Self Efficacy; D012943:Social Security