| The 10-year risk of verified motor vehicle crashes in relation to physiologic sleepiness. | |
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MedLine Citation:
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PMID: 20550014 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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STUDY OBJECTIVES: The purpose of this study was to determine the risk of DMV documented crashes as a function of physiological sleepiness in a population-based sample. DESIGN: 24-hour laboratory assessment (nocturnal polysomnogram and daytime MSLT) and 10-year crash rate based on DMV obtained accident records. PARTICIPANTS: 618 individuals (mean age = 41.6 +/- 12.8; 48.5% male) were recruited from the general population of southeastern Michigan using random-digit dialing techniques. RESULTS: Subjects were divided into 3 groups based on their average MSLT latency (in minutes) as follows: excessively sleepy, 0.0 to < or = 5.0 (n = 69); moderately sleepy, 5.0 to < or = 10.0 (n = 204); and alert, > 10 (n = 345). Main outcome measures were DMV data on accidents from 1995-2005. Rates for all accidents in the 3 MSLT groups were: excessively sleepy = 59.4%, moderately sleepy = 52.5%, alert = 47.3%. Excessively sleepy subjects were at significantly greater risk of an accident over the 10-year period compared to alert subjects. A similar relation was observed when we limited the database to those accident victims with severe injury (excessively sleepy = 4.3%, moderately sleepy = 0.5%, alert = 0.6%; P = 0.028). When the victim was the only occupant of the car, subjects in the lowest MSLT group (highest sleepiness) had the greatest crash rate compared with alert individuals (excessively sleepy = 52.2%, moderately sleepy = 42.2%, alert = 37.4%; P = 0.022). INTERVENTIONS: N/A. CONCLUSIONS: These data demonstrate that the MSLT, a physiological measure of sleepiness, is predictive of an increased risk of DMV documented automotive crashes in the general population. |
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Authors:
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Christopher Drake; Timothy Roehrs; Naomi Breslau; Eric Johnson; Catherine Jefferson; Holly Scofield; Thomas Roth |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: Sleep Volume: 33 ISSN: 0161-8105 ISO Abbreviation: Sleep Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-06-16 Completed Date: 2010-07-02 Revised Date: 2013-05-29 |
Medline Journal Info:
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Nlm Unique ID: 7809084 Medline TA: Sleep Country: United States |
Other Details:
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Languages: eng Pagination: 745-52 Citation Subset: IM |
Affiliation:
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Sleep Disorders and Research Center, Henry Ford Hospital, 2799 West Grand Blvd, CFP3, Detroit, MI 48202, USA. cdrake1@hfhs.org |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Accidents, Traffic
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statistics & numerical data* Adolescent Adult Disorders of Excessive Somnolence / diagnosis*, epidemiology Female Humans Male Michigan / epidemiology Middle Aged Polysomnography / methods, statistics & numerical data Predictive Value of Tests Questionnaires* Reproducibility of Results Risk Factors Severity of Illness Index Young Adult |
| Grant Support | |
ID/Acronym/Agency:
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59338//PHS HHS; 68372//PHS HHS |
| Comments/Corrections | |
Comment In:
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Sleep. 2010 Jun;33(6):729-30
[PMID:
20550009
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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