PT  - JOURNAL ARTICLE
AU  - Laura Salonen
AU  - Jenni Blomgren
AU  - Mikko Laaksonen
AU  - Mikko Niemelä
TI  - Sickness absence as a predictor of disability retirement in different occupational classes: a register-based study of a working-age cohort in Finland in 2007–2014
AID  - 10.1136/bmjopen-2017-020491
DP  - 2018 May 01
TA  - BMJ Open
PG  - e020491
VI  - 8
IP  - 5
4099  - http://bmjopen.bmj.com/content/8/5/e020491.short
4100  - http://bmjopen.bmj.com/content/8/5/e020491.full
SO  - BMJ Open2018 May 01; 8
AB  - Objectives The objective of the study was to examine diagnosis-specific sickness absences of different lengths as predictors of disability retirement in different occupational classes.Design Register-based prospective cohort study up to 8 years of follow-up.Participants A 70% random sample of the non-retired Finnish population aged 25–62 at the end of 2006 was included (n=1 727 644) and linked to data on sickness absences in 2005 and data on disability retirement in 2007–2014.Main outcome measures Cox proportional hazards regression was utilised to analyse the association of sickness absence with the risk of all-cause disability retirement during an 8-year follow-up.Results The risk of disability retirement increased with increasing lengths of sickness absence in all occupational classes. A long sickness absence was a particularly strong predictor of disability retirement in upper non-manual employees as among those with over 180 sickness absence days the HR was 9.19 (95% CI 7.40 to 11.40), but in manual employees the HR was 3.51 (95% CI 3.23 to 3.81) in men. Among women, the corresponding HRs were 7.26 (95% CI 6.16 to 8.57) and 3.94 (95% CI 3.60 to 4.30), respectively. Adjusting for the diagnosis of sickness absence partly attenuated the association between the length of sickness absence and the risk of disability retirement in all employed groups.Conclusions A long sickness absence is a strong predictor of disability retirement in all occupational classes. Preventing the accumulation of sickness absence days and designing more efficient policies for different occupational classes may be crucial to reduce the number of transitions to early retirement due to disability.