| ชื่อเรื่อง | : | Modeling fatigue-related truck accidents prior sleep duration, recency and continuity / |
| นักวิจัย | : | Dorrian, Jill. , Dawson, Drew. , Sweeney, Margaret. |
| คำค้น | : | LIBRARY OF CONGRESS SUBJECT HEADINGS , 110199 Medical Biochemistry and Metabolomics not elsewhere classified. , 110999 Neurosciences not elsewhere classified. , 170199 Psychology not elsewhere classified. , Journal Article. Refereed, Scholarly Journal |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2554 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/1017068 |
| ที่มา | : | Dorrian J, Sweeney M & Dawson D 2011, 'Modeling fatigue-related truck accidents: Prior sleep duration, recency and continuity', Sleep and Biological Rhythm, vol. 9, no. 1, pp. 3-11. http://dx.doi.org/10.1111/j.1479-8425.2010.00477.x |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | Sleep and biological rhythm. Australia : Wiley-Balckwell Publishing Asia, 2011. Vol. 9, no. 1 (January 2011), pp. 3-11 9 pages Refereed 1446-9235 , ACQUIRE [electronic resouce] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | A review of fatigue-management approaches proposed an alternative to hours of service (HOS) regulations based on prior sleep and wakefulness (PSW). This approach states that an individual must have ≥X h and ≥Y h sleep in the 24-h and 48-h periods prior to work, respectively; and that the continuous period for which they have been awake by the end of the shift must be less than or equal to the amount of sleep they have had in the prior 48 h. An a priori model with X = 5 and Y = 12 was suggested. This study investigated the ability to predict fatigue-related accidents using: (a) the a priori model; (b) an optimized model (manipulating X and Y); (c) models with continuous or split sleep; (d) HOS indicators; and (e) combined PSW and HOS models. Sleep and work histories were collected from 107 truck accidents (male drivers, aged 23–66 y), of which 62 had a probable cause of fatigue. The a priori model correctly classified 65%, and the optimized model (6.5 h in the prior 24 h and 8 h in the prior 48 h) nearly 71% of accidents. A simplified model of 6.5 h continuous sleep in the prior 24 h correctly classified nearly 75%. HOS indicators correctly classified <60% and combined models, approximately 73%. PSW or combined PSW/HOS approaches may more effectively manage fatigue than current HOS paradigms alone. Sleep duration, recency and continuity are of primary importance. |
| บรรณานุกรม | : |
Dorrian, Jill. , Dawson, Drew. , Sweeney, Margaret. . (2554). Modeling fatigue-related truck accidents prior sleep duration, recency and continuity /.
กรุงเทพมหานคร : Central Queensland University, Australia. Dorrian, Jill. , Dawson, Drew. , Sweeney, Margaret. . 2554. "Modeling fatigue-related truck accidents prior sleep duration, recency and continuity /".
กรุงเทพมหานคร : Central Queensland University, Australia. Dorrian, Jill. , Dawson, Drew. , Sweeney, Margaret. . "Modeling fatigue-related truck accidents prior sleep duration, recency and continuity /."
กรุงเทพมหานคร : Central Queensland University, Australia, 2554. Print. Dorrian, Jill. , Dawson, Drew. , Sweeney, Margaret. . Modeling fatigue-related truck accidents prior sleep duration, recency and continuity /. กรุงเทพมหานคร : Central Queensland University, Australia; 2554.
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