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Relation between Multiple Markers of Work-Related Fatigue

机译:与工作有关的疲劳的多个指标之间的关系

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Abstract Background 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. Methods 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. Results 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. Conclusion 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.
机译:摘要背景与工作有关的疲劳对性能和安全性有很大影响,但到目前为止,尚无商定的检测和量化方法。已经提出,与工作相关的疲劳不能仅通过一项测试就可以量化,这可能是因为疲劳不是统一的构造。因此,本研究的目的是通过多次测试来测量与工作相关的疲劳,然后确定潜在的阶乘结构。方法28名员工(平均数:36.11;标准差:13.17)参加了五项常见的疲劳测试,分别是姿势描记法,心率变异性,注意力分散,简单的反应时间以及工作前后的主观疲劳。为了评估从早上到下午的变化,进行了t检验。为了进行进一步的数据分析,将每种结局指标与参与者的下午和上午分数之间的差异(Δ分数)提交给具有最大方差旋转的因子分析,并选择具有最高负荷结局指标的每个因子。将采用单项和多项结果测量的测试中的Δ分数提交给具有varimax旋转的进一步因素分析。结果多次测试的统计分析确定了具有三个因素的阶乘结构:第一个因素最好用压力中心(COP)路径长度,{COP}置信区域和简单的反应时间来表示。第二个因素与连续差的均方根和有用视场(UFOV)相关。第三个因素由主观疲劳的单个Δ得分表示。结论与工作相关的疲劳是一种多维现象,应通过多次测试进行评估。根据数据结构和实用性,我们建议您进行进一步的研究,以通过人工反应时间和{UFOV}子测试2来评估与工作相关的疲劳。

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