Völker Ina, Kirchner Christine, Bock Otmar L
German Sport University Cologne-Institute of Physiology and Anatomy, Cologne, Germany.
Saf Health Work. 2016 Jun;7(2):124-9. doi: 10.1016/j.shaw.2015.11.003. Epub 2015 Dec 1.
Work-related fatigue has a strong impact on performance and safety but so far, no agreed upon method exists to detect and quantify it. It has been suggested that work-related fatigue cannot be quantified with just one test alone, possibly because fatigue is not a uniform construct. The purpose of this study is therefore to measure work-related fatigue with multiple tests and then to determine the underlying factorial structure.
Twenty-eight employees (mean: 36.11; standard deviation 13.17) participated in five common fatigue tests, namely, posturography, heart rate variability, distributed attention, simple reaction time, and subjective fatigue before and after work. To evaluate changes from morning to afternoon, t tests were conducted. For further data analysis, the differences between afternoon and morning scores for each outcome measure and participant (Δ scores) were submitted to factor analysis with varimax rotation and each factor with the highest-loading outcome measure was selected. The Δ scores from tests with single and multiple outcome measures were submitted for a further factor analysis with varimax rotation.
The statistical analysis of the multiple tests determine a factorial structure with three factors: The first factor is best represented by center of pressure (COP) path length, COP confidence area, and simple reaction time. The second factor is associated with root mean square of successive difference and useful field of view (UFOV). The third factor is represented by the single Δ score of subjective fatigue.
Work-related fatigue is a multidimensional phenomenon that should be assessed by multiple tests. Based on data structure and practicability, we recommend carrying out further studies to assess work-related fatigue with manual reaction time and UFOV Subtest 2.
与工作相关的疲劳对工作表现和安全有很大影响,但到目前为止,尚无公认的方法来检测和量化它。有人提出,仅靠一项测试无法量化与工作相关的疲劳,这可能是因为疲劳并非一个统一的概念。因此,本研究的目的是通过多项测试来测量与工作相关的疲劳,然后确定其潜在的因子结构。
28名员工(平均年龄:36.11岁;标准差13.17)参与了五项常见的疲劳测试,即姿势描记法、心率变异性、分散注意力、简单反应时间以及工作前后的主观疲劳感。为评估从上午到下午的变化,进行了t检验。对于进一步的数据分析,将每个结果指标和参与者的下午得分与上午得分之间的差异(Δ得分)进行具有方差最大化旋转的因子分析,并选择每个因子中负荷最高的结果指标。将具有单一和多个结果指标的测试的Δ得分进行进一步的具有方差最大化旋转的因子分析。
多项测试的统计分析确定了一个具有三个因子的因子结构:第一个因子最好由压力中心(COP)路径长度、COP置信区域和简单反应时间来代表。第二个因子与逐次差值的均方根和有用视野(UFOV)相关。第三个因子由主观疲劳的单一Δ得分来代表。
与工作相关的疲劳是一种多维现象,应该通过多项测试来评估。基于数据结构和实用性,我们建议开展进一步研究,以使用手动反应时间和UFOV子测试2来评估与工作相关的疲劳。