Literature DB >> 11565983

Drowsiness, counter-measures to drowsiness, and the risk of a motor vehicle crash.

P Cummings1, T D Koepsell, J M Moffat, F P Rivara.   

Abstract

OBJECTIVES: Knowledge of how different indicators of drowsiness affect crash risk might be useful to drivers. This study sought to estimate how drowsiness related factors, and factors that might counteract drowsiness, are related to the risk of a crash.
METHODS: Drivers on major highways in a rural Washington county were studied using a matched case-control design. Control (n=199) drivers were matched to drivers in crashes (n=200) on driving location, travel direction, hour, and day of the week.
RESULTS: Crash risk was greater among drivers who felt they were falling asleep (adjusted relative risk (aRR) 14.2, 95% confidence interval (CI) 1.4 to 147) and those who drove longer distances (aRR 2.2 for each additional 100 miles, 95% CI 1.4 to 3.3). Risk was also greater among drivers who had slept nine or fewer hours in the previous 48 hours, compared with those who had slept 12 hours. Crash risk was less for drivers who used a highway rest stop (aRR 0.5, 95% CI 0.3 to 1.0), drank coffee within the last two hours (aRR 0.5, 95% CI 0.3 to 0.9), or played a radio while driving (aRR 0.6, 95% CI .4 to 1.0).
CONCLUSION: Drivers may be able to decrease their risk of crashing if they: (1) stop driving if they feel they are falling asleep; (2) use highway rest stops; (3) drink coffee; (4) turn on a radio; (5) get at least nine hours sleep in the 48 hours before a trip; and (6) avoid driving long distances by sharing the driving or interrupting the trip.

Entities:  

Mesh:

Year:  2001        PMID: 11565983      PMCID: PMC1730738          DOI: 10.1136/ip.7.3.194

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  13 in total

1.  Counteracting driver sleepiness: effects of napping, caffeine, and placebo.

Authors:  J A Horne; L A Reyner
Journal:  Psychophysiology       Date:  1996-05       Impact factor: 4.016

2.  Falling asleep whilst driving: are drivers aware of prior sleepiness?

Authors:  L A Reyner; J A Horne
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3.  Dose-response and trend analysis in epidemiology: alternatives to categorical analysis.

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4.  Evaluation "in-car" countermeasures to sleepiness: cold air and radio.

Authors:  L A Reyner; J A Horne
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5.  The scope and nature of the drowsy driving problem in New York State.

Authors:  A T McCartt; S A Ribner; A I Pack; M C Hammer
Journal:  Accid Anal Prev       Date:  1996-07

6.  The impact of confounder selection criteria on effect estimation.

Authors:  R M Mickey; S Greenland
Journal:  Am J Epidemiol       Date:  1989-01       Impact factor: 4.897

7.  Characteristics of crashes attributed to the driver having fallen asleep.

Authors:  A I Pack; A M Pack; E Rodgman; A Cucchiara; D F Dinges; C W Schwab
Journal:  Accid Anal Prev       Date:  1995-12

8.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1991-12       Impact factor: 5.849

9.  Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth Sleepiness Scale.

Authors:  M W Johns
Journal:  Chest       Date:  1993-01       Impact factor: 9.410

10.  Sleep related vehicle accidents.

Authors:  J A Horne; L A Reyner
Journal:  BMJ       Date:  1995-03-04
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  13 in total

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Review 2.  A conceptual framework for reducing risky teen driving behaviors among minority youth.

Authors:  P Juarez; D G Schlundt; I Goldzweig; N Stinson
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

3.  Sedative Hypnotic Medication Use and the Risk of Motor Vehicle Crash.

Authors:  Ryan N Hansen; Denise M Boudreau; Beth E Ebel; David C Grossman; Sean D Sullivan
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Review 4.  Associations between driving performance and engaging in secondary tasks: a systematic review.

Authors:  Alva O Ferdinand; Nir Menachemi
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

5.  Assessing sleepiness and sleep disorders in Australian long-distance commercial vehicle drivers: self-report versus an "at home" monitoring device.

Authors:  Lisa N Sharwood; Jane Elkington; Mark Stevenson; Ronald R Grunstein; Lynn Meuleners; Rebecca Q Ivers; Narelle Haworth; Robyn Norton; Keith K Wong
Journal:  Sleep       Date:  2012-04-01       Impact factor: 5.849

6.  Sleep problems and the risk for sleep disorders in an outpatient veteran population.

Authors:  Masroor Mustafa; Nkolika Erokwu; Idowa Ebose; Kingman Strohl
Journal:  Sleep Breath       Date:  2005-06       Impact factor: 2.816

7.  The heavy vehicle study: a case-control study investigating risk factors for crash in long distance heavy vehicle drivers in Australia.

Authors:  Mark Stevenson; Lisa N Sharwood; Keith Wong; Jane Elkington; Lynn Meuleners; Rebecca Q Ivers; Ron R Grunstein; Ann Williamson; Narelle Haworth; Robyn Norton
Journal:  BMC Public Health       Date:  2010-03-26       Impact factor: 3.295

8.  Potentially driver-impairing (PDI) medication use in medically impaired adults referred for driving evaluation.

Authors:  Amanda J Hetland; David B Carr; Michael J Wallendorf; Peggy P Barco
Journal:  Ann Pharmacother       Date:  2014-01-28       Impact factor: 3.154

9.  Sleepiness, long distance commuting and night work as predictors of driving performance.

Authors:  Lee Di Milia; Naomi L Rogers; Torbjörn Åkerstedt
Journal:  PLoS One       Date:  2012-09-21       Impact factor: 3.240

10.  Prevalence of sleep-related accidents among drivers in Saudi Arabia.

Authors:  Ahmad S BaHammam; Muath A Alkhunizan; Rabea H Lesloum; Amer M Alshanqiti; Abdulrahman M Aldakhil; Seithikurippu R Pandi-Perumal; Munir M Sharif
Journal:  Ann Thorac Med       Date:  2014-10       Impact factor: 2.219

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