Prevalence of motor vehicle crashes involving drowsy drivers, United States, 1999–2008

Tefft, Brian C.

doi:10.1016/j.aap.2011.05.028

Cited by 163 publications

(114 citation statements)

References 7 publications

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“…With more than 9.5 million Americans working overnight or rotating shifts and one-third of United States commutes exceeding 30 min, these results have implications for traffic and occupational safety. was involved in an estimated 21% of fatal crashes and 13% of crashes causing severe injury, consistent with earlier estimates that drowsy driving causes 20% of serious motor vehicle crash injuries resulting in hospitalization or death, and is associated with a four-to sixfold increase in crash/near-crash risk (1)(2)(3)(4). These data indicate that drowsiness is likely one of the most prevalent causes of preventable road crashes worldwide (5).…”

supporting

confidence: 75%

High risk of near-crash driving events following night-shift work

Lee

Howard

Horrey

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

174

119

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Night-shift workers are at high risk of drowsiness-related motor vehicle crashes as a result of circadian disruption and sleep restriction. However, the impact of actual night-shift work on measures of drowsiness and driving performance while operating a real motor vehicle remains unknown. Sixteen night-shift workers completed two 2-h daytime driving sessions on a closed driving track at the Liberty Mutual Research Institute for Safety: (i) a postsleep baseline driving session after an average of 7.6 ± 2.4 h sleep the previous night with no night-shift work, and (ii) a postnightshift driving session following night-shift work. Physiological measures of drowsiness were collected, including infrared reflectance oculography, electroencephalography, and electrooculography. Driving performance measures included lane excursions, near-crash events, and drives terminated because of failure to maintain control of the vehicle. Eleven near-crashes occurred in 6 of 16 postnight-shift drives (37.5%), and 7 of 16 postnight-shift drives (43.8%) were terminated early for safety reasons, compared with zero near-crashes or early drive terminations during 16 postsleep drives (Fishers exact: P = 0.0088 and P = 0.0034, respectively). Participants had a significantly higher rate of lane excursions, average Johns Drowsiness Scale, blink duration, and number of slow eye movements during postnight-shift drives compared with postsleep drives (3.09/min vs. 1.49/min; 1.71 vs. 0.97; 125 ms vs. 100 ms; 35.8 vs. 19.1; respectively, P < 0.05 for all). Night-shift work increases driver drowsiness, degrading driving performance and increasing the risk of near-crash drive events. With more than 9.5 million Americans working overnight or rotating shifts and one-third of United States commutes exceeding 30 min, these results have implications for traffic and occupational safety. drowsy driving | sleep | EEG | infrared oculography | fatigue

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supporting

confidence: 75%

High risk of near-crash driving events following night-shift work

Lee

Howard

Horrey

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

174

119

View full text Add to dashboard Cite

show abstract

“…3,4 Sleep deprivation also impairs cognitive and motor functions. 5 Although several theories have been proposed, [6][7][8] The Drosophila model for sleep is well suited for discovering sleep regulatory genes through genetic screens. We recently reported the isolation of taranis (tara) from an unbiased genome-wide forwardgenetic screen for short-sleeping mutants.…”

mentioning

confidence: 99%

Control of sleep by a network of cell cycle genes

Afonso

Machado

Koh

2015

Fly

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“…Therefore, it is likely that 23 the current results are an underestimation of the total number of SR crashes. USA estimates suggest 24 that SR fatal crashes may be underestimated by as much as 350%, due to missing data ormisclassification by attending enforcement officers (Tefft 2012). There may be several reasons for 1 this, first, police officers lack an accurate objective measure of sleepiness and self-reported difficulty 2 to identify sleepiness as a crash causal factor (Radun et al 2013).…”

Section: • Unlicensedmentioning

confidence: 99%