Abstract
BackgroundTo investigate the association between different clinical endpoints and the presence of upper extremity work-related musculoskeletal disorders (WMSDs) in a healthy working population. Furthermore, the influence of socio-demographic, work-related and individual predictors on different endpoints was examined.MethodsTwo self-completion questionnaires were administered to 70 workers and employees. In addition, a standardized physical examination and an industry test were performed in this cross-sectional study. Correlations between WMSDs and clinical endpoints were analysed with the Spearman method. Depending on the type of dependent endpoint, linear or logistic multivariate regression models were used to study the strength of associations with a pre-defined set of potential influencing factors.ResultsThe prevalence of WMSDs was 56% (39/70). Correlations between WMSDs and the DASH score / pain under strain (VAS) were by far the strongest ones. Independent predictors could not be identified as risk factors for WMSDs, but there was some correlation between these factors.ConclusionsThe DASH score, used in the primary analysis of the study data, remains a close candidate for best surrogate endpoint for WMSD detection. The VAS has to be examined for this role in further research. Our analysis should help to improve the methodological quality of future occupational health studies through improved standards.Trial registrationThis study was registered at ClinicalTrials.org with the identifier NCT03014128, on January 9, 2017.