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Sleep characteristics associated with drowsy driving

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dc.contributor.author김원주-
dc.date.accessioned2018-07-20T11:53:56Z-
dc.date.available2018-07-20T11:53:56Z-
dc.date.issued2017-
dc.identifier.issn1389-9457-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161465-
dc.description.abstractOBJECTIVE: The aim of this study was to evaluate sleep characteristics associated with drowsy driving in an adult population. METHODS: The study subjects consisted of 1675 adults aged 19 years or older who completed a population-based questionnaire survey on sleep habits. Experiences of drowsy driving were obtained from self-reported data. We investigated sleep-related variables including sleep duration, sleep efficiency, chronotype, subjective sleep perception, daytime sleepiness, sleep quality, and snoring. We performed multivariate logistic regression analysis to determine sleep characteristics independently associated with drowsy driving. RESULTS: The mean age of the subjects was 43.2 years, and 66.3% were men. The prevalence of self-reported drowsy driving was 23.6% (396 of 1675), and 33.1% of subjects experienced dozing at the wheel at least once a month. Multivariate analysis demonstrated that men, office and manual workers, excessive daytime sleepiness, depression, habitual snoring, and perceived insufficient sleep were independently associated with drowsy driving. Subgroup analyses revealed that reduced weekday sleep duration was a risk factor of drowsy driving in adults with perceived sufficient sleep. On the other hand, frequent alcohol drinking significantly increased risk of drowsy driving in the subgroup with perceived sleep insufficiency. Furthermore, ordinal regression analyses confirmed the association between sleep characteristics and drowsy driving across different drowsy driving frequencies. CONCLUSION: Excessive daytime sleepiness, depression, habitual snoring, and perceived insufficient sleep were sleep-related risk factors for drowsy driving. In addition to maintaining healthy sleep habits, individuals at high risk should be encouraged to evaluate underlying sleep disorders or psychiatric problems to prevent drowsy driving.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier Science-
dc.relation.isPartOfSLEEP MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleSleep characteristics associated with drowsy driving-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Neurology-
dc.contributor.googleauthorJun-Sang Sunwoo-
dc.contributor.googleauthorYoung Hwangbo-
dc.contributor.googleauthorWon-Joo Kim-
dc.contributor.googleauthorMin Kyung Chu-
dc.contributor.googleauthorChang-Ho Yun-
dc.contributor.googleauthorKwang Ik Yang-
dc.identifier.doi10.1016/j.sleep.2017.08.020-
dc.contributor.localIdA00771-
dc.relation.journalcodeJ02663-
dc.identifier.eissn1878-5506-
dc.identifier.pmid29221776-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1389945717303672-
dc.subject.keywordDepression-
dc.subject.keywordDrowsy driving-
dc.subject.keywordPerceived insufficient sleep-
dc.subject.keywordSleep habits-
dc.subject.keywordSleepiness-
dc.subject.keywordSnoring-
dc.contributor.alternativeNameKim, Won Joo-
dc.contributor.affiliatedAuthorKim, Won Joo-
dc.citation.volume40-
dc.citation.startPage4-
dc.citation.endPage10-
dc.identifier.bibliographicCitationSLEEP MEDICINE, Vol.40 : 4-10, 2017-
dc.identifier.rimsid61373-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers

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