Center for Ergonomics, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA.
Ergonomics. 2012;55(4):396-414. doi: 10.1080/00140139.2011.644328. Epub 2012 Mar 8.
A cohort of 536 workers was enrolled from 10 diverse manufacturing facilities and was followed monthly for six years. Job physical exposures were individually measured. Worker demographics, medical history, psychosocial factors, current musculoskeletal disorders (MSDs) and nerve conduction studies (NCS) were obtained. Point and lifetime prevalence of carpal tunnel syndrome (CTS) at baseline (symptoms + abnormal NCS) were 10.3% and 19.8%. During follow-up, there were 35 new CTS cases (left, right or both hands). Factors predicting development of CTS included: job physical exposure (American conference of governmental industrial hygienists Threshold Limit Value (ACGIH TLV) for Hand Activity Level (HAL) and the Strain Index (SI)), age, BMI, other MSDs, inflammatory arthritis, gardening outside of work and feelings of depression. In the adjusted models, the TLV for HAL and the SI were both significant per unit increase in exposure with hazard ratios (HR) increasing up to a maximum of 5.4 (p = 0.05) and 5.3 (p = 0.03), respectively; however, similar to other reports, both suggested lower risk at higher exposures. Data suggest that the TLV for HAL and the SI are useful metrics for estimating exposure to biomechanical stressors.
This study was conducted to determine how well the TLV for HAL and the SI predict risk of CTS using a prospective cohort design with survival analysis. Both the TLV for HAL and the SI were found to predict risk of CTS when adjusted for relevant covariates.
从 10 家不同的制造工厂招募了 536 名工人组成队列,并在六年内每月进行随访。单独测量了工作的身体暴露情况。收集了工人的人口统计学数据、病史、心理社会因素、当前肌肉骨骼疾病(MSD)和神经传导研究(NCS)。基线时(症状+异常 NCS)腕管综合征(CTS)的时点患病率和终生患病率分别为 10.3%和 19.8%。在随访期间,有 35 例新 CTS 病例(左手、右手或双手)。预测 CTS 发展的因素包括:工作身体暴露(美国政府工业卫生学家协会的 HAL 和 SI 的阈值限值(ACGIH TLV))、年龄、BMI、其他 MSD、炎症性关节炎、工作外园艺和抑郁感。在调整后的模型中,HAL 和 SI 的 TLV 随着暴露量每增加一个单位,风险比(HR)分别增加到最高 5.4(p=0.05)和 5.3(p=0.03),但与其他报告一样,这两种情况都表明高暴露量的风险较低。数据表明,HAL 和 SI 的 TLV 是用于估计生物力学应激暴露的有用指标。
本研究旨在使用前瞻性队列设计和生存分析来确定 HAL 和 SI 的 TLV 如何预测 CTS 的风险。在调整相关协变量后,发现 HAL 和 SI 的 TLV 均能预测 CTS 的风险。