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使用已发表的小睡研究数据对疲劳模型进行评估。

Evaluation of a fatigue model using data from published napping studies.

作者信息

Fletcher A, Dawson D

机构信息

Centre for Sleep Research, University of South Australia, Woodville, Australia.

出版信息

J Hum Ergol (Tokyo). 2001 Dec;30(1-2):279-85.

Abstract

The authors have previously published the development and empirical validation of a work-related fatigue model. However, published work has not involved data from napping studies. The aim of this paper is to determine how closely the model predicts changes in subjective and objective measures from data published from napping studies. The regression results between the model outputs and logical reasoning, multiple sleep latency test scores, self-rated alertness, profile of mood state fatigue, visual vigilance and reaction time were all strong to very strong (R2 = 0.4-0.9). Only digit symbol substitution revealed moderate (R2 = 0.1-0.2) regression values. The outputs of the model reflect changes due to naps of varying duration and timing measured at varying periods following a nap. Together with the outputs from previous investigations, these results further support the potential use of the fatigue model in operational settings. This appears to be true in settings that utilise napping as well as those that do not.

摘要

作者们此前已发表了一个与工作相关的疲劳模型的开发及实证验证。然而,已发表的工作并未涉及小睡研究的数据。本文的目的是确定该模型对小睡研究发表数据中主观和客观测量变化的预测程度。模型输出与逻辑推理、多次睡眠潜伏期测试分数、自我评定警觉性、情绪状态疲劳量表、视觉警觉性和反应时间之间的回归结果均为强到极强(R2 = 0.4 - 0.9)。只有数字符号替换显示出中等(R2 = 0.1 - 0.2)的回归值。模型的输出反映了在小睡后的不同时间段测量的不同持续时间和时间的小睡所导致的变化。与先前调查的结果一起,这些结果进一步支持了疲劳模型在实际操作环境中的潜在用途。在利用小睡的环境以及不利用小睡的环境中似乎都是如此。

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