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Pooling job physical exposure data from multiple independent studies in a consortium study of carpal tunnel syndrome

机译:在腕管综合征综合研究中汇总来自多项独立研究的工作物理暴露数据

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摘要

Pooling data from different epidemiological studies of musculoskeletal disorders (MSDs) is necessary to improve statistical power and to more precisely quantify exposure–response relationships for MSDs. The pooling process is difficult and time-consuming, and small methodological differences could lead to different exposure–response relationships. A subcommittee of a six-study research consortium studying carpal tunnel syndrome: (i) visited each study site, (ii) documented methods used to collect physical exposure data and (iii) determined compatibility of exposure variables across studies. Certain measures of force, frequency of exertion and duty cycle were collected by all studies and were largely compatible. A portion of studies had detailed data to investigate simultaneous combinations of force, frequency and duration of exertions. Limited compatibility was found for hand/wrist posture. Only two studies could calculate compatible Strain Index scores, but Threshold Limit Value for Hand Activity Level could be determined for all studies. Challenges of pooling data, resources required and recommendations for future researchers are discussed.
机译:汇集来自肌肉骨骼疾病(MSD)的不同流行病学研究的数据对于提高统计能力和更准确地量化MSD的暴露-反应关系是必要的。合并过程既困难又耗时,方法上的微小差异可能会导致暴露-反应关系不同。一个研究腕管综合症的研究小组,由六个研究小组组成:(i)访问了每个研究地点;(ii)记录了用于收集物理暴露数据的方法;以及(iii)确定了各个研究中暴露变量的相容性。所有研究都收集了某些测力,施加频率和工作周期的度量,并且这些度量在很大程度上是兼容的。一部分研究有详细的数据来研究力,频率和运动持续时间的同时组合。发现手/腕姿势的兼容性有限。只有两项研究可以计算出兼容的应变指数得分,但是可以为所有研究确定手活动水平的阈值限值。讨论了合并数据,所需资源和对未来研究人员的建议所面临的挑战。

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