دورية أكاديمية
Sleep-wake behaviors exhibited by shift workers in normal operations and predicted by a biomathematical model of fatigue.
| العنوان: | Sleep-wake behaviors exhibited by shift workers in normal operations and predicted by a biomathematical model of fatigue. |
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| المؤلفون: | Riedy SM; Sleep and Performance Research Center, Washington State University, Spokane, WA.; Elson S. Floyd College of Medicine, Washington State University, Spokane, WA., Roach GD; Appleton Institute, Central Queensland University, Wayville, South Australia, Australia., Dawson D; Appleton Institute, Central Queensland University, Wayville, South Australia, Australia. |
| المصدر: | Sleep [Sleep] 2020 Sep 14; Vol. 43 (9). |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7809084 Publication Model: Print Cited Medium: Internet ISSN: 1550-9109 (Electronic) Linking ISSN: 01618105 NLM ISO Abbreviation: Sleep Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2017- : New York : Oxford University Press Original Publication: New York, Raven Press. |
| مواضيع طبية MeSH: | Sleep Disorders, Circadian Rhythm*/epidemiology , Work Schedule Tolerance*, Circadian Rhythm ; Fatigue/epidemiology ; Fatigue/etiology ; Humans ; Sleep ; Wakefulness |
| مستخلص: | Study Objectives: To compare rail workers' actual sleep-wake behaviors in normal operations to those predicted by a biomathematical model of fatigue (BMMF). To determine whether there are group-level residual sources of error in sleep predictions that could be modeled to improve group-level sleep predictions. Methods: The sleep-wake behaviors of 354 rail workers were examined during 1,722 breaks that were 8-24 h in duration. Sleep-wake patterns were continuously monitored using wrist-actigraphy and predicted from the work-rest schedule using a BMMF. Rail workers' actual and predicted sleep-wake behaviors were defined as split-sleep (i.e. ≥2 sleep periods in a break) and consolidated-sleep (i.e. one sleep period in a break) behaviors. Sleepiness was predicted from the actual and predicted sleep-wake data. Results: Consolidated-sleep behaviors were observed during 1,441 breaks and correctly predicted during 1,359 breaks. Split-sleep behaviors were observed during 280 breaks and correctly predicted during 182 breaks. Predicting the wrong type of sleep-wake behavior resulted in a misestimation of hours of sleep during a break. Relative to sleepiness predictions derived from actual sleep-wake data, predicting the wrong type of sleep-wake behavior resulted in a misestimation of sleepiness predictions during the subsequent shift. Conclusions: All workers with the same work-rest schedule have the same predicted sleep-wake behaviors; however, these workers do not all exhibit the same sleep-wake behaviors in real-world operations. Future models could account for this group-level residual variance with a new approach to modeling sleep, whereby sub-group(s) may be predicted to exhibit one of a number of sleep-wake behaviors. (© Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.) |
| فهرسة مساهمة: | Keywords: biomathematical model; fatigue; rail; shift work; sleep; sleepiness |
| تواريخ الأحداث: | Date Created: 20200328 Date Completed: 20210414 Latest Revision: 20210414 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1093/sleep/zsaa049 |
| PMID: | 32215552 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1550-9109 |
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| DOI: | 10.1093/sleep/zsaa049 |