Kapellusch Jay M, Silverstein Barbara A, Bao Stephen S, Thiese Mathew S, Merryweather Andrew S, Hegmann Kurt T, Garg Arun
a Department of Occupational Science & Technology , University of Wisconsin-Milwaukee , Milwaukee , Wisconsin.
b SHARP Program, Washington State Department of Labor and Industries , Olympia , Washington.
J Occup Environ Hyg. 2018 Feb;15(2):157-166. doi: 10.1080/15459624.2017.1401709.
The Strain Index (SI) and the American Conference of Governmental Industrial Hygienists (ACGIH) threshold limit value for hand activity level (TLV for HAL) have been shown to be associated with prevalence of distal upper-limb musculoskeletal disorders such as carpal tunnel syndrome (CTS). The SI and TLV for HAL disagree on more than half of task exposure classifications. Similarly, time-weighted average (TWA), peak, and typical exposure techniques used to quantity physical exposure from multi-task jobs have shown between-technique agreement ranging from 61% to 93%, depending upon whether the SI or TLV for HAL model was used. This study compared exposure-response relationships between each model-technique combination and prevalence of CTS. Physical exposure data from 1,834 workers (710 with multi-task jobs) were analyzed using the SI and TLV for HAL and the TWA, typical, and peak multi-task job exposure techniques. Additionally, exposure classifications from the SI and TLV for HAL were combined into a single measure and evaluated. Prevalent CTS cases were identified using symptoms and nerve-conduction studies. Mixed effects logistic regression was used to quantify exposure-response relationships between categorized (i.e., low, medium, and high) physical exposure and CTS prevalence for all model-technique combinations, and for multi-task workers, mono-task workers, and all workers combined. Except for TWA TLV for HAL, all model-technique combinations showed monotonic increases in risk of CTS with increased physical exposure. The combined-models approach showed stronger association than the SI or TLV for HAL for multi-task workers. Despite differences in exposure classifications, nearly all model-technique combinations showed exposure-response relationships with prevalence of CTS for the combined sample of mono-task and multi-task workers. Both the TLV for HAL and the SI, with the TWA or typical techniques, appear useful for epidemiological studies and surveillance. However, the utility of TWA, typical, and peak techniques for job design and intervention is dubious.
应变指数(SI)和美国政府工业卫生学家会议(ACGIH)手部活动水平阈限值(HAL的TLV)已被证明与诸如腕管综合征(CTS)等上肢远端肌肉骨骼疾病的患病率相关。SI和HAL的TLV在超过一半的任务暴露分类上存在分歧。同样,用于量化多任务工作中身体暴露的时间加权平均(TWA)、峰值和典型暴露技术,根据使用的是HAL模型的SI还是TLV,技术间一致性在61%至93%之间。本研究比较了每种模型 - 技术组合与CTS患病率之间的暴露 - 反应关系。使用HAL的SI和TLV以及TWA、典型和峰值多任务工作暴露技术,对1834名工人(710名从事多任务工作)的身体暴露数据进行了分析。此外,将HAL的SI和TLV的暴露分类合并为单一指标并进行评估。使用症状和神经传导研究确定CTS的现患病例。采用混合效应逻辑回归来量化所有模型 - 技术组合以及多任务工人、单任务工人和所有工人组合中,分类(即低、中、高)身体暴露与CTS患病率之间的暴露 - 反应关系。除了HAL的TWA TLV外,所有模型 - 技术组合均显示随着身体暴露增加,CTS风险呈单调增加。对于多任务工人,组合模型方法显示出比HAL的SI或TLV更强的关联。尽管暴露分类存在差异,但几乎所有模型 - 技术组合在单任务和多任务工人的合并样本中均显示出与CTS患病率的暴露 - 反应关系。HAL的TLV和SI与TWA或典型技术似乎都适用于流行病学研究和监测。然而,TWA、典型和峰值技术在工作设计和干预方面的效用值得怀疑。