Literature DB >> 18571572

Fatigued and drowsy driving: a survey of attitudes, opinions and behaviors.

Ward Vanlaar1, Herb Simpson, Dan Mayhew, Robyn Robertson.   

Abstract

INTRODUCTION: There is evidence suggesting that the problem of fatigued or drowsy driving is an important contributor to road crashes. However, not much is known about public perceptions of the issue. The purpose of this study was to obtain information on attitudes, opinions, and professed practices related to fatigued or drowsy driving.
METHODS: The data were gathered by means of a public opinion poll among a representative sample of 750 Ontario drivers.
RESULTS: A majority of drivers (58.6%) admitted that they occasionally drive while fatigued or drowsy. Of greater importance, 14.5% of respondents admitted that they had fallen asleep or "nodded off" while driving during the past year. Nearly 2% were involved in a fatigue or drowsy driving related crash in the past year. Respondents were also asked about measures they take to overcome fatigue or drowsiness. Results indicate that relatively ineffective measures such as opening the window or playing music are the most popular; the most effective preventive measure--taking a rest--is the least popular. DISCUSSION: The prevalence of the behavior, coupled with the ineffective prevention measures favored by the public suggest there is a need for increasing their level of awareness and knowledge about the problem. IMPACT ON INDUSTRY: Results from this study further emphasize the importance of increasing the fatigued and drowsy driving knowledge base and the need to educate the public about it.

Entities:  

Mesh:

Year:  2008        PMID: 18571572     DOI: 10.1016/j.jsr.2007.12.007

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  15 in total

1.  Insomnia symptoms and risk for unintentional fatal injuries--the HUNT Study.

Authors:  Lars Erik Laugsand; Linn B Strand; Lars J Vatten; Imre Janszky; Johan Håkon Bjørngaard
Journal:  Sleep       Date:  2014-11-01       Impact factor: 5.849

2.  [Health-related consequences of obstructive sleep apnea: daytime sleepiness, accident risk and legal aspects].

Authors:  M Orth; S Kotterba
Journal:  HNO       Date:  2012-04       Impact factor: 1.284

3.  Passive BCI based on drowsiness detection: an fNIRS study.

Authors:  M Jawad Khan; Keum-Shik Hong
Journal:  Biomed Opt Express       Date:  2015-09-22       Impact factor: 3.732

4.  Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness.

Authors:  Jichi Chen; Hong Wang; Chengcheng Hua; Qiaoxiu Wang; Chong Liu
Journal:  Cogn Neurodyn       Date:  2018-07-14       Impact factor: 5.082

5.  Effects of coffee on driving performance during prolonged simulated highway driving.

Authors:  M A J Mets; D Baas; I van Boven; B Olivier; J C Verster
Journal:  Psychopharmacology (Berl)       Date:  2012-07       Impact factor: 4.530

6.  Sleep disorders as a cause of motor vehicle collisions.

Authors:  Marco Túlio de Mello; Fernanda Veruska Narciso; Sergio Tufik; Teresa Paiva; David Warren Spence; Ahmed S Bahammam; Joris C Verster; Seithikurippu R Pandi-Perumal
Journal:  Int J Prev Med       Date:  2013-03

7.  Positive effects of Red Bull® Energy Drink on driving performance during prolonged driving.

Authors:  Monique A J Mets; Sander Ketzer; Camilla Blom; Maartje H van Gerven; Gitta M van Willigenburg; Berend Olivier; Joris C Verster
Journal:  Psychopharmacology (Berl)       Date:  2010-11-10       Impact factor: 4.530

8.  Exploring background risk factors for fatigue crashes involving truck drivers on regional roadway networks: a case control study in Jiangxi and Shaanxi, China.

Authors:  Changkun Chen; Jun Zhang
Journal:  Springerplus       Date:  2016-05-10

Review 9.  The effects of sleep loss on young drivers' performance: A systematic review.

Authors:  Shamsi Shekari Soleimanloo; Melanie J White; Veronica Garcia-Hansen; Simon S Smith
Journal:  PLoS One       Date:  2017-08-31       Impact factor: 3.240

10.  Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks.

Authors:  Rifai Chai; Sai Ho Ling; Phyo Phyo San; Ganesh R Naik; Tuan N Nguyen; Yvonne Tran; Ashley Craig; Hung T Nguyen
Journal:  Front Neurosci       Date:  2017-03-07       Impact factor: 4.677

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