Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Academic District Hospital, Zeppelinstrasse 21, 78532 Tuttlingen, Germany.
Office for Occupational and Hand Therapy, Neuhauser Strasse 85, 78532 Tuttlingen, Germany.
Int J Environ Res Public Health. 2021 Aug 31;18(17):9171. doi: 10.3390/ijerph18179171.
A wide range of endpoints and methods of analysis can be observed in occupational health studies in the context of work-related musculoskeletal disorders (WMSDs). Comparison of study results is therefore difficult. We investigated the association between different clinical endpoints and the presence of upper extremity WMSDs in a healthy working population. Furthermore, the influence of socio-demographic, work-related, and individual predictors on different endpoints was examined. Two self-administered questionnaires were distributed 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 analyzed with the Spearman method and prediction ellipses. Multiple regression models were used to study the strength of associations with a pre-defined set of potential influencing factors. The prevalence of WMSDs was 56% (39/70). Disabilities of Arm, Shoulder, and Hand (DASH) score/pain under strain showed the strongest correlations with WMSDs. When analyzing the correlation between WMSDs and pre-selected predictors, none of the predictors could be identified as a risk factor. The DASH score remains a close candidate for best surrogate endpoint for WMSDs detection. Standardized analysis methods could improve the methodological quality of future occupational health studies.
在与工作相关的肌肉骨骼疾病（WMSD）相关的职业健康研究中，可以观察到广泛的终点和分析方法。因此，很难比较研究结果。我们在健康的劳动人群中调查了不同临床终点与上肢 WMSD 之间的关联。此外，还研究了社会人口统计学、与工作相关和个体预测因素对不同终点的影响。在这项横断面研究中，向 70 名工人和员工发放了两份自我管理问卷。此外，还进行了标准化的体格检查和行业测试。使用 Spearman 方法和预测椭圆分析了 WMSD 与临床终点之间的相关性。使用多元回归模型研究了与预定义的一组潜在影响因素的关联强度。WMSD 的患病率为 56%（39/70）。手臂、肩膀和手的残疾（DASH）评分/劳损时的疼痛与 WMSD 相关性最强。在分析 WMSD 与预选择的预测因素之间的相关性时，没有一个预测因素可以被确定为危险因素。DASH 评分仍然是检测 WMSD 的最佳替代终点的候选者。标准化分析方法可以提高未来职业健康研究的方法学质量。
