Work ability score and future work ability as predictors of register-based disability pension and long-term sickness absence: A three-year follow-up study.

Abstract:

AIMS:We investigated two single items of the Work Ability Index - work ability score, and future work ability - as predictors of register-based disability pension and long-term sickness absence over a three-year follow-up. METHODS:Survey responses of 11,131 Finnish employees were linked to pension and long-term (more than 10 days) sickness absence register data by Statistics Finland. Work ability score was divided into poor (0-5), moderate (6-7) and good/excellent (8-10) and future work ability into poor (1-2) and good (3) work ability at baseline. Cox proportional hazard regressions were used in the analysis of disability pension, and a negative binomial model in the analysis of long-term sickness absence. The results were adjusted for several background, work- and health-related covariates. RESULTS:Compared with those with good/excellent work ability scores, the hazard ratios of disability pension after adjusting for all covariates were 9.84 (95% CI 6.68-14.49) for poor and 2.25 (CI 95% 1.51-3.35) for moderate work ability score. For future work ability, the hazard ratio was 8.19 (95% CI 4.71-14.23) among those with poor future work ability. The incidence rate ratios of accumulated long-term sickness absence days were 3.08 (95% CI 2.19-4.32) and 1.59 (95% CI 1.32-1.92) for poor and moderate work ability scores, and 1.51 (95% CI 0.97-2.36) for poor future work ability. CONCLUSIONS:The single items of work ability score and future work ability predicted register-based disability pension equally well, but work ability score was a better predictor of register-based long-term sickness absence days than future work ability in a three-year follow-up. Both items seem to be of use especially when examining the risk of poor work ability for disability but also for long sick leave.

journal_name

Scand J Public Health

authors

Kinnunen U,Nätti J

doi

10.1177/1403494817745190

subject

Has Abstract

pub_date

2018-05-01 00:00:00

pages

321-330

issue

3

eissn

1403-4948

issn

1651-1905

journal_volume

46

pub_type

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