Longitudinal Associations between Anatomical Regions of Pain and Work Conditions: A Study from The SwePain Cohort

Elena Dragioti, Björn Gerdle and Britt Larsson
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Elena Dragioti: Pain and Rehabilitation Centre and Department of Medical and Health Sciences, Linköping University, Linköping SE- 581 85, Sweden
Björn Gerdle: Pain and Rehabilitation Centre and Department of Medical and Health Sciences, Linköping University, Linköping SE- 581 85, Sweden
Britt Larsson: Pain and Rehabilitation Centre and Department of Medical and Health Sciences, Linköping University, Linköping SE- 581 85, Sweden

IJERPH, 2019, vol. 16, issue 12, 1-16

Abstract: We investigated the time-based associations between workload (physical and mechanical), psychosocial work stressors (demands, control, and support), and the number of anatomical regions with pain (ARP). This population-based study with a two-year follow-up included 11,386 responders (5125 men, 6261 women; mean age: 48.8 years; SD: 18.5) living in south-eastern Sweden. Predictive associations were assessed through generalised linear models, and changes over time were examined using a generalised estimating equation. The results of both models were reported as parameter estimates (B) with 95% confidence interval (CIs). Mean changes in the number of ARP, workload, and psychosocial work stressors were stable over time. High mechanical workload and job demands were likely associated with the number of ARP at the two-year follow-up. In the reverse prospective model, we found that the number of ARP was also associated with high physical and mechanical workload and low job control and support. In the two time-based models of changes, we found a reciprocal association between number of ARP and mechanical workload. Our results add epidemiological evidence to the associations between work conditions and the extent of pain on the body. Components of work conditions, including job demands and mechanical strain, must be considered when organisations and health policy makers plan and employ ergonomic evaluations to minimise workplace hazards in the general population.

Keywords: musculoskeletal pain; number of pain sites; cohort; physical workload; psychosocial work stressors; job strain (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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