Document Detail

The 10-year risk of verified motor vehicle crashes in relation to physiologic sleepiness.
MedLine Citation:
PMID:  20550014     Owner:  NLM     Status:  MEDLINE    
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).
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.
Christopher Drake; Timothy Roehrs; Naomi Breslau; Eric Johnson; Catherine Jefferson; Holly Scofield; Thomas Roth
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Sleep     Volume:  33     ISSN:  0161-8105     ISO Abbreviation:  Sleep     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-06-16     Completed Date:  2010-07-02     Revised Date:  2013-05-29    
Medline Journal Info:
Nlm Unique ID:  7809084     Medline TA:  Sleep     Country:  United States    
Other Details:
Languages:  eng     Pagination:  745-52     Citation Subset:  IM    
Sleep Disorders and Research Center, Henry Ford Hospital, 2799 West Grand Blvd, CFP3, Detroit, MI 48202, USA.
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MeSH Terms
Accidents, Traffic / statistics & numerical data*
Disorders of Excessive Somnolence / diagnosis*,  epidemiology
Michigan / epidemiology
Middle Aged
Polysomnography / methods,  statistics & numerical data
Predictive Value of Tests
Reproducibility of Results
Risk Factors
Severity of Illness Index
Young Adult
Grant Support
59338//PHS HHS; 68372//PHS HHS
Comment In:
Sleep. 2010 Jun;33(6):729-30   [PMID:  20550009 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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