Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/31807
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dc.contributor.authorCori, Jennifer M-
dc.contributor.authorWilkinson, Vanessa E-
dc.contributor.authorSoleimanloo, Shamsi Shekari-
dc.contributor.authorWestlake, Justine-
dc.contributor.authorStevens, Bronwyn-
dc.contributor.authorRajaratnam, Shantha M W-
dc.contributor.authorHoward, Mark E-
dc.date2022-
dc.date.accessioned2023-01-12T04:43:11Z-
dc.date.available2023-01-12T04:43:11Z-
dc.date.issued2023-12-07-
dc.identifier.citationJournal of Sleep Research 2023; 32(3)en_US
dc.identifier.issn1365-2869-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/31807-
dc.description.abstractDrowsy driving is a major cause of fatal and serious injury motor vehicle accidents. The inability objectively to assess drowsiness has hindered the assessment of fitness to drive and the development of drowsy driving regulations. This study evaluated whether spontaneous eye blink parameters measured briefly pre- and post-drive could be used to detect drowsy driving impairment. Twelve healthy participants (6 female) drove an instrumented vehicle for 2 h on a closed-loop track during a rested (8-10 h awake) and an extended wake condition (32-34 h awake). Pre- and post-drive, the participants completed a 5 min eye blink task, a psychomotor vigilance task (PVT), and the Karolinska sleepiness scale (KSS). Whole drive impairment was defined as >3.5 lane departures per hour. Severe end of drive impairment was defined as ≥2 lane departures in the last 15 min. The pre-drive % of time with eyes closed best predicted the whole drive impairment (area under the curve [AUC] 0.87). KSS had similar prediction ability (AUC 0.85), while PVT reaction time (AUC 0.72) was less accurate. The composite eye blink parameter, the Johns drowsiness scale was the best retrospective detector of severe end of drive impairment (AUC 0.99). The PVT reaction time (AUC 0.92) and the KSS (AUC 0.93) were less accurate. Eye blink parameters detected drowsy driving impairment with an accuracy that was similar to, or marginally better than, PVT and KSS. As eye blink measures are simple to measure, are objective and have high accuracy, they present an ideal option for the assessment of fitness for duty and roadside drowsiness.en_US
dc.language.isoeng-
dc.subjectfatigueen_US
dc.subjectfit to driveen_US
dc.subjectfit to worken_US
dc.subjectlane departuresen_US
dc.subjectocularen_US
dc.subjectsleepinessen_US
dc.titleA brief assessment of eye blink drowsiness immediately prior to or following driving detects drowsiness related driving impairment.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleJournal of Sleep Researchen_US
dc.identifier.affiliationInstitute for Breathing and Sleepen_US
dc.identifier.affiliationRespiratory and Sleep Medicineen_US
dc.identifier.affiliationCRC for Alertness, Safety and Productivity, Victoria, Australiaen_US
dc.identifier.affiliationSchool of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australiaen_US
dc.identifier.doi10.1111/jsr.13785en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0003-1484-7117en_US
dc.identifier.pubmedid36478313-
dc.description.startpagee13785-
local.name.researcherCori, Jennifer M
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptInstitute for Breathing and Sleep-
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