Literature DB >> 23137086

A comparison of the effect of mobile phone use and alcohol consumption on driving simulation performance.

Sumie Leung1, Rodney J Croft, Melinda L Jackson, Mark E Howard, Raymond J McKenzie.   

Abstract

OBJECTIVE: The present study compared the effects of a variety of mobile phone usage conditions to different levels of alcohol intoxication on simulated driving performance and psychomotor vigilance.
METHODS: Twelve healthy volunteers participated in a crossover design in which each participant completed a simulated driving task on 2 days, separated by a 1-week washout period. On the mobile phone day, participants performed the simulated driving task under each of 4 conditions: no phone usage, a hands-free naturalistic conversation, a hands-free cognitively demanding conversation, and texting. On the alcohol day, participants performed the simulated driving task at four different blood alcohol concentration (BAC) levels: 0.00, 0.04, 0.07, and 0.10. Driving performance was assessed by variables including time within target speed range, time spent speeding, braking reaction time, speed deviation, and lateral lane position deviation.
RESULTS: In the BAC 0.07 and 0.10 alcohol conditions, participants spent less time in the target speed range and more time speeding and took longer to brake in the BAC 0.04, 0.07, and 0.10 than in the BAC 0.00 condition. In the mobile phone condition, participants took longer to brake in the natural hands-free conversation, cognitively demanding hands-free conversation and texting conditions and spent less time in the target speed range and more time speeding in the cognitively demanding, hands-free conversation, and texting conditions. When comparing the 2 conditions, the naturalistic conversation was comparable to the legally permissible BAC level (0.04), and the cognitively demanding and texting conversations were similar to the BAC 0.07 to 0.10 results.
CONCLUSION: The findings of the current laboratory study suggest that very simple conversations on a mobile phone may not represent a significant driving risk (compared to legally permissible BAC levels), whereas cognitively demanding, hands-free conversation, and particularly texting represent significant risks to driving.

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Year:  2012        PMID: 23137086     DOI: 10.1080/15389588.2012.683118

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  10 in total

1.  Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior.

Authors:  Jennifer L Bell; Matthew A Taylor; Guang-Xiang Chen; Rachel D Kirk; Erin R Leatherman
Journal:  J Safety Res       Date:  2016-12-21

2.  Effects of alcohol on automated and controlled driving performances.

Authors:  Catherine Berthelon; Guy Gineyt
Journal:  Psychopharmacology (Berl)       Date:  2013-11-30       Impact factor: 4.530

3.  Examining the relationship between poor sleep health and risky driving behaviors among college students.

Authors:  Rebecca Robbins; Andrew Piazza; Ryan J Martin; Girardin Jean-Louis; Adam P Knowlden; Michael A Grandner
Journal:  Traffic Inj Prev       Date:  2021-10-26       Impact factor: 1.491

4.  Alcohol calibration of tests measuring skills related to car driving.

Authors:  Stefan Jongen; Eric Vuurman; Jan Ramaekers; Annemiek Vermeeren
Journal:  Psychopharmacology (Berl)       Date:  2014-01-10       Impact factor: 4.530

5.  Texting while driving: the development and validation of the distracted driving survey and risk score among young adults.

Authors:  Regan W Bergmark; Emily Gliklich; Rong Guo; Richard E Gliklich
Journal:  Inj Epidemiol       Date:  2016-03-01

6.  Distracted Driving, A Major Preventable Cause of Motor Vehicle Collisions: "Just Hang Up and Drive".

Authors:  Christopher A Kahn; Victor Cisneros; Shahram Lotfipour; Ghasem Imani; Bharath Chakravarthy
Journal:  West J Emerg Med       Date:  2015-12-11

7.  Smartphone use habits of anesthesia providers during anesthetized patient care: a survey from Turkey.

Authors:  Hüseyin Ulaş Pınar; Omer Karaca; Rafi Doğan; Ümmü Mine Konuk
Journal:  BMC Anesthesiol       Date:  2016-10-06       Impact factor: 2.217

8.  Smartphone Use among Anesthesiologists during Work Hours: A Survey-Based Study.

Authors:  Suruchi Ambasta; Ashish Kumar Kannaujia; Chetna Shamshery; Divya Shrivastava; Prabhakar Mishra; Swagat Mahapatra
Journal:  Anesth Essays Res       Date:  2022-06-14

Review 9.  Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies.

Authors:  Răzvan Gabriel Boboc; Gheorghe Daniel Voinea; Ioana-Diana Buzdugan; Csaba Antonya
Journal:  Int J Environ Res Public Health       Date:  2022-08-24       Impact factor: 4.614

10.  An assessment of the centrally acting muscle relaxant tolperisone on driving ability and cognitive effects compared to placebo and cyclobenzaprine.

Authors:  Judy Caron; Randall Kaye; Thomas Wessel; Amy Halseth; Gary Kay
Journal:  J Clin Pharm Ther       Date:  2020-05-10       Impact factor: 2.512

  10 in total

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