Using a Single Daytime Performance Test to Identify Most Individuals at High-Risk for Performance Impairment During Extended Wake
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2019/11/13
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Description:We explored the predictive value of a neurobehavioral performance assessment under rested baseline conditions (evaluated at 8 hours awake following 8 hours of sleep) on neurobehavioral response to moderate sleep loss (evaluated at 20 hours awake two days later) in 151 healthy young participants (18-30 years). We defined each participant's response-to-sleep-loss phenotype based on the number of attentional failures on a 10-min visual psychomotor vigilance task taken at 20 hours awake (resilient: less than 6 attentional failures, n = 26 participants; non-resilient: 6 or more attentional failures, n = 125 participants). We observed that 97% of rested participants with 2 or more attentional failures (n = 73 of 151) and 100% of rested participants with 3 or more attentional failures (n = 57 of 151) were non-resilient after moderate sleep loss. Our approach can accurately identify a significant proportion of individuals who are at high risk for neurobehavioral performance impairment from staying up late with a single neurobehavioral performance assessment conducted during rested conditions. Additional methods are needed to predict the future performance of individuals who are not identified as high risk during baseline. [Description provided by NIOSH]
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ISSN:2045-2322
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Volume:9
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NIOSHTIC Number:nn:20062840
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Citation:Sci Rep 2019 Nov; 9:16681
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Contact Point Address:Melissa A. St. Hilaire, Division of Sleep and Circadian Disorders, Brigham & Women's Hospital, 221 Longwood Avenue, Boston, MA, 02115, USA
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Email:msthilaire@rics.bwh.harvard.edu
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Federal Fiscal Year:2020
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Performing Organization:Brigham and Women's Hospital, Boston, Massachusetts
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Peer Reviewed:True
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Start Date:20190901
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Source Full Name:Scientific Reports
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End Date:20230831
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Main Document Checksum:urn:sha-512:d8115fe67358202e7dbc4ab2339a17638aeb301b06f14a4695b46fc0a8d73788f1fdc201e59694b2fff5fe624661ef5b854bf276d858885e1c7e46e7c5796043
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