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Investigating systematic individual differences in sleep-deprived performance on a high-fidelity flight simulator

机译:在高保真飞行模拟器上研究睡眠剥夺性表现的系统性个体差异

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Laboratory research has revealed considerable systematic variability in the degree to which individuals' alertness and performance are affected by sleep deprivation. However, little is known about whether or not different populations exhibit similar levels of individual variability. In the present study, we examined individual variability in performance impairment due to sleep loss in a highly select population of military jet pilots. Ten active-duty F-117 pilots were deprived of sleep for 38 h and studied repeatedly in a high-fidelity flight simulator. Data were analyzed with a mixed-model ANOVA to quantify individual variability- Statistically significant, systematic individual differences in the effects of sleep deprivation were observed, even when baseline differences were accounted for. The findings suggest that highly select populations may exhibit individual differences in vulnerability to performance impairment from sleep loss just as the general population does. Thus, the scientific and operational communities' reliance on group data as opposed to individual data may entail substantial misestimation of the impact of job-related stressors on safety and performance.
机译:实验室研究表明,睡眠不足会影响个人的机敏性和表现的程度,存在很大的系统差异。但是,关于不同种群是否表现出相似水平的个体变异性知之甚少。在本研究中,我们检查了高度精选的军用喷气机飞行员由于睡眠不足而导致的机能障碍的个体差异。十名现役F-117飞行员被剥夺了38小时的睡眠,并在高保真飞行模拟器中反复学习。使用混合模型ANOVA分析数据以量化个体差异-即使考虑了基线差异,也观察到了睡眠剥夺影响的统计学显着,系统的个体差异。研究结果表明,与普通人群一样,高度挑剔的人群可能会因睡眠不足而表现出对机能受损的脆弱性的个体差异。因此,科学和运营社区相对于个人数据所依赖的组数据可能会导致对与工作有关的压力源对安全和绩效的影响的重大错误估计。

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