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. 2021 Jul;94(5):843-854.
doi: 10.1007/s00420-020-01630-6. Epub 2021 Jan 12.

Predictors of working days lost due to sickness absence and disability pension

Rahman Shiri  1 , Aapo Hiilamo  2 , Ossi Rahkonen  3 , Suzan J W Robroek  4 , Olli Pietiläinen  3 , Tea Lallukka  2   3
Affiliations

Predictors of working days lost due to sickness absence and disability pension

Rahman Shiri et al. Int Arch Occup Environ Health. 2021 Jul.

Abstract

Objective: To identify social and health-related predictors of the number of days lost due to sickness absence (SA) and disability pension (DP) among initially 55-year-old public-sector workers.

Methods: The data from the Finnish Helsinki Health Study included participants aged 55 years at the baseline (in 2000-2002, N = 1630, 81% women), and were enriched with register-based information on SA and DP. The cumulative number of calendar days lost due to SA ≥ 1 day or DP between ages 55 and 65 was calculated. Negative binomial regression model was used to identify the predictors of days lost.

Results: The average calendar days lost was 316 days (about 220 working days) during a 10-year follow-up, and 44% were due to SA and 56% due to DP. Smoking [incidence rate ratio (IRR) = 1.19, 95% CI 1.01-1.40 for past and IRR = 1.30, CI 1.07-1.58 for current], binge drinking (IRR = 1.22, CI 1.02-1.46), lifting or pulling/pushing heavy loads (IRR = 1.35, CI 1.10-1.65), awkward working positions (IRR = 1.24, CI 1.01-1.53), long-standing illness limiting work or daily activities (IRR = 2.32, CI 1.93-2.79), common mental disorder (IRR = 1.52, CI 1.30-1.79), and multisite pain (IRR = 1.50, CI 1.23-1.84) increased the number of days lost, while high level of education (IRR = 0.66, CI 0.52-0.82) and moderate level of leisure-time physical activity (IRR = 0.80, CI 0.67-0.94) reduced the number of days lost.

Conclusions: Modifiable lifestyle risk factors, workload factors, common mental disorder, and multisite pain substantially increase the number of days lost. However, the findings of this study could be generalized to female workers in the public sector. Future research should also consider shorter SA spells in estimating working years lost and working life expectancy.

Keywords: Chronic disease; Healthy lifestyle; Life expectancy; Occupations; Sick leave; Work engagement; Workload.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Flowchart of the study population
Fig. 2
Fig. 2
The predicted total number of days lost due to sickness absence and disability pension (DP) and the number of days lost due to only disability pension by background characteristics at baseline
See this image and copyright information in PMC

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