Unknown

Dataset Information

0

Within-individual analysis of pain and sickness absence among employees from low and high occupational classes: a record linkage study.


ABSTRACT: OBJECTIVES:Pain is linked to an increased risk of sickness absence (SA); however, the extent to which unmeasured time-invariant differences explain this association is yet unknown. Therefore, we determined the within-individual associations between pain and short-term (in the survey year) and long-term (2?years following the survey years) SA risk in high and low occupational classes while controlling for the potential bias due to unobservable time-invariant characteristics. METHODS:The Helsinki Health Study data consisting of midlife public sector employees with mailed surveys from up to four time points, and SA record linkage were used (3983 persons). The within-individual estimates were calculated using hybrid negative binomial regression models. RESULTS:Acute/subacute pain was associated with a 13% increase in the rate of short-term SA days (incidence rate ratio 1.13 [95% CI 1.01 to 1.27]), while the association was somewhat stronger for chronic pain (1.32 [1.19-1.47]). For the employees in the low occupational class, these associations were robust (1.29 [1.10-1.50] for acute/subacute and 1.43 [1.23-1.66] for chronic pain), whereas only chronic pain was associated with SA among those in the high occupational class (1.25 [1.08-1.46]). Chronic pain was also associated with SA days in the long term without occupational class differences. Similar results were obtained for multisite pain (pain in several locations). CONCLUSIONS:These results indicate that particularly chronic and multisite pain have a within-individual link to SA but ignoring unobservable differences between those reporting pain and those not might yield overstated effect sizes. Pain might have a different relation to SA in low and high occupational classes.

SUBMITTER: Hiilamo A 

PROVIDER: S-EPMC6475189 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC8795030 | biostudies-literature
| S-EPMC8812422 | biostudies-literature
| S-EPMC6231854 | biostudies-literature
| S-EPMC7400406 | biostudies-literature
| S-EPMC7004170 | biostudies-literature
| S-EPMC4000420 | biostudies-literature
| S-EPMC10228037 | biostudies-literature
| S-EPMC9265793 | biostudies-literature
| S-EPMC7395760 | biostudies-literature
| S-EPMC5942421 | biostudies-literature