Refereed journal article or data article (A1)

Predicting work disability among people with chronic conditions: a prospective cohort study

List of AuthorsNyberg Solja T., Airaksinen Jaakko, Pentti Jaana, Ervasti Jenni, Jokela Markus, Vahtera Jussi, Virtanen Marianna, Elovainio Marko, Batty G. David, Kivimäki Mika


Publication year2023

JournalScientific Reports

Journal name in sourceSCIENTIFIC REPORTS

Journal acronymSCI REP-UK

Article number6334

Volume number13

Number of pages13





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Few risk prediction scores are available to identify people at increased risk of work disability, particularly for those with an existing morbidity. We examined the predictive performance of disability risk scores for employees with chronic disease. We used prospective data from 88,521 employed participants (mean age 43.1) in the Finnish Public Sector Study including people with chronic disorders: musculoskeletal disorder, depression, migraine, respiratory disease, hypertension, cancer, coronary heart disease, diabetes, comorbid depression and cardiometabolic disease. A total of 105 predictors were assessed at baseline. During a mean follow-up of 8.6 years, 6836 (7.7%) participants were granted a disability pension. C-statistics for the 8-item Finnish Institute of Occupational Health (FIOH) risk score, comprising age, self-rated health, number of sickness absences, socioeconomic position, number of chronic illnesses, sleep problems, BMI, and smoking at baseline, exceeded 0.72 for all disease groups and was 0.80 (95% CI 0.80-0.81) for participants with musculoskeletal disorders, 0.83 (0.82-0.84) for those with migraine, and 0.82 (0.81-0.83) for individuals with respiratory disease. Predictive performance was not significantly improved in models with re-estimated coefficients or a new set of predictors. These findings suggest that the 8-item FIOH work disability risk score may serve as a scalable screening tool in identifying individuals with increased risk for work disability.

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Last updated on 2023-01-06 at 14:57