Nordander C, Balogh I, Mathiassen S E, Ohlsson K, Unge J, Skerfving S, Hansson G-A
Department of Occupational and Environmental Medicine, University Hospital, SE-221 85 Lund, Sweden.
J Electromyogr Kinesiol. 2004 Aug;14(4):443-54. doi: 10.1016/j.jelekin.2003.12.003.
Though surface electromyography (EMG) has been widely used in studies of occupational exposure, its precision in terms of the variance between-days and between-subjects has seldom been evaluated. This study aimed at such an evaluation. Six women performed three different work tasks: 'materials picking', 'light assembly', and 'heavy assembly', repeated on 3 different days. EMG was recorded from m. trapezius, m. infraspinatus and the forearm extensors. Normalisation was made to a maximal (MVE), and a submaximal (RVE), reference contraction. Variance components between days (within subjects) and between subjects were derived for the 10th, 50th and 90th percentiles, as well as for muscular rest parameters. For the task 'heavy assembly', the coefficient of variation between days (CV(BD)) was 8% for m. trapezius (right side, 50th percentile, MVE normalised values). Larger variabilities were found for m. infraspinatus (CV(BD) 15%), and the forearm extensors (CV(BD) 33%). Between-subjects variability (CV(BS)) was greater, 16% for m. trapezius and 57% for m. infraspinatus, 29% for the forearm extensors. RVE normalisation resulted in larger CV(BD), while reducing CV(BS). The between-days and between-subjects variability may be used to optimise sampling strategy, and to assess the bias in epidemiological studies. The bias caused by measurement procedures per se is acceptable.
尽管表面肌电图(EMG)已广泛应用于职业暴露研究,但其在日间和个体间差异方面的精度很少得到评估。本研究旨在进行这样的评估。六名女性执行三项不同的工作任务:“材料拾取”、“轻度装配”和“重度装配”,在3个不同日期重复进行。从斜方肌、冈下肌和前臂伸肌记录肌电图。将其归一化为最大(MVE)和次最大(RVE)参考收缩。得出了第10、50和90百分位数以及肌肉静息参数的日间(个体内)和个体间方差分量。对于“重度装配”任务,斜方肌(右侧,第50百分位数,MVE归一化值)的日间变异系数(CV(BD))为8%。冈下肌(CV(BD) 15%)和前臂伸肌(CV(BD) 33%)的变异性更大。个体间变异性(CV(BS))更大,斜方肌为16%,冈下肌为57%,前臂伸肌为29%。RVE归一化导致更大的CV(BD),同时降低CV(BS)。日间和个体间变异性可用于优化采样策略,并评估流行病学研究中的偏差。测量程序本身造成的偏差是可以接受的。