Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance
Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance
复制标题
睡眠时间表对商用机动车辆驾驶员表现的影响
DOI:
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发表时间:
2000
期刊:
影响因子:
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通讯作者:
G. Belenky
中科院分区:
文献类型:
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作者:
T. Balkin;D. Thome;H. Sing;Maria L. Thomas;D. Redmond;N. Wesensten;Jason D. Williams;S. Hall;G. Belenky
This project was comprised of two studies - a field study using wrist actigraphy to determine sleep duration and timing in long- versus short-haul commercial motor vehicle (CMV) drivers over 20 consecutive days; and a sleep dose/response (SDR) laboratory study on CMV drivers to determine the effects of 3, 5, 7, and 9 hours time in bed (TIB) on performance (including simulated driving) over seven consecutive days. Findings from the latter (SDR) study were used to optimize the parameters of the Walter Reed Sleep Performance Model (SPM) - a mathematical algorithm to predict performance based on prior sleep and circadian rhythm. The SPM has been integrated into the current version of the Sleep Watch Actigraph, a wrist-worn device for management of sleep and performance in the operational environment. In Chapter 1, theoretical background on the nature of sleep loss-induced performance decrements is presented. Chapter 2 provides the methodology used in the SDR (laboratory) study, and the detailed results of that study. Chapter 3 provides the background for SPM development, and a detailed description of the SPM. Chapter 4 presents the methodology used in the field study, and the detailed results of that study. Chapter 5 provides an overview and synthesis of results, conclusions, and recommendations. Results from the CMV drivers field study portion of the present project show that daily sleep duration is correlated with duration of off-duty time, and both long- and short-haul drivers average approximately 7 1/2 hours of sleep per night - which is within normal limits. However, there is significant day-to-day variability in sleep duration in both groups that is unrelated to work/rest schedule. Therefore, in addition to optimizing work/rest schedules, investigation of additional means for improving driver performance and alertness is advisable. In the SDR laboratory study portion of the present project, sleep duration-related differences in daytime performance were evident, with even small differences in average nighttime sleep duration resulting in measurable performance decrements. Performance decrements were maintained across the entire 7 consecutive days of sleep restriction, suggesting that there was no compensatory or adaptive response to even mild sleep loss. Following more severe sleep restriction (e.g., the 3-hr TIB group) recovery of performance was not complete after three consecutive nights of recovery sleep (with 8 hours spent in bed each night). This suggests that full recovery from substantial sleep debt may require several days of extended recovery sleep.