Literature DB >> 25133486

Prevalence of and attitudes about distracted driving in college students.

Linda Hill1, Jill Rybar, Tara Styer, Ethan Fram, Gina Merchant, Amelia Eastman.   

Abstract

OBJECTIVE: To identify current distracted driving (DD) behaviors among college students, primarily those involving cell phone use, and elucidate the opinions of the students on the most effective deterrent or intervention for reducing cell phone use.
METHODS: Students enrolled at 12 colleges and universities were recruited to participate in an online, anonymous survey. Recruitment was done via school-based list-serves and posters. School sizes ranged from 476 to over 30,000. The validated survey included 38 questions; 17 were specifically related to distracted driving.
RESULTS: Four thousand nine hundred sixty-four participants completed the surveys; the average age was 21.8, 66% were female, 82.7% were undergraduates, and 47% were white/non-Hispanic. Additionally, 4,517 (91%) reported phoning and/or texting while driving; 4,467 (90%) of drivers said they talk on the phone while driving; 1,241 (25%) reported using a hands-free device "most of the time"; 4,467 (90%) of drivers reported texting while driving; 2,488 (50%) reported sending texts while driving on the freeway; 2,978 (60%) while in stop-and-go traffic or on city streets; and 4,319 (87%) at traffic lights. Those who drove more often were more likely to drive distracted. When asked about their capability to drive distracted, 46% said they were capable or very capable of talking on a cell phone and driving, but they felt that only 8.5% of other drivers were capable. In a multivariate model, 9 predictors explained 44% of the variance in DD, which was statistically significant, F (17, 4945) = 224.31; P <.0001; R(2) = 0.44. The four strongest predictors (excluding driving frequency) were self-efficacy (i.e., confidence) in driving while multitasking (β = 0.37), perception of safety of multitasking while driving (β = 0.19), social norms (i.e., observing others multitasking while driving; β = 0.29), and having a history of crashing due to multitasking while driving (β = 0.11).
CONCLUSIONS: Distracted driving is a highly prevalent behavior among college students who have higher confidence in their own driving skills and ability to multitask than they have in other drivers' abilities. Drivers' self-efficacy for driving and multitasking in the car, coupled with a greater likelihood of having witnessed DD behaviors in others, greatly increased the probability that a student would engage in DD. Most students felt that policies, such as laws impacting driving privilege and insurance rate increases, would influence their behavior.

Entities:  

Keywords:  cell phones; college students; distracted driving; injury prevention

Mesh:

Year:  2015        PMID: 25133486     DOI: 10.1080/15389588.2014.949340

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


  10 in total

1.  Cell Phone Use While Driving: Prospective Association with Emerging Adult Use.

Authors:  Neha Trivedi; Denise Haynie; Joe Bible; Danping Liu; Bruce Simons-Morton
Journal:  Accid Anal Prev       Date:  2017-07-20

2.  The association between handheld phone bans and the prevalence of handheld phone conversations among young drivers in the United States.

Authors:  Motao Zhu; Toni M Rudisill; Steven Heeringa; David Swedler; Donald A Redelmeier
Journal:  Ann Epidemiol       Date:  2016-10-27       Impact factor: 3.797

3.  Low Self-Control, Social Learning, and Texting while Driving.

Authors:  Ryan Charles Meldrum; John H Boman; Sinchul Back
Journal:  Am J Crim Justice       Date:  2018-08-21

4.  Driving contradictions: behaviors and attitudes regarding handheld and hands-free cellphone use while driving among young drivers.

Authors:  Lucas M Neuroth; Dylan Galos; Li Li; Songzhu Zhao; Motao Zhu
Journal:  Inj Epidemiol       Date:  2021-06-01

5.  Texting at the light and other forms of device distraction behind the wheel.

Authors:  James J Bernstein; Joseph Bernstein
Journal:  BMC Public Health       Date:  2015-09-26       Impact factor: 3.295

6.  Strategic Adaptation to Task Characteristics, Incentives, and Individual Differences in Dual-Tasking.

Authors:  Christian P Janssen; Duncan P Brumby
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

7.  Mobile Telephone Use and Reaction Time in Drivers With Glaucoma.

Authors:  Nara G Ogata; Fábio B Daga; Alessandro A Jammal; Erwin R Boer; Linda L Hill; James M Stringham; Remo Susanna; Felipe A Medeiros
Journal:  JAMA Netw Open       Date:  2019-04-05

8.  Boredom and Media Multitasking.

Authors:  Allison C Drody; Brandon C W Ralph; James Danckert; Daniel Smilek
Journal:  Front Psychol       Date:  2022-03-21

9.  Assessment of the Influence of Technology-Based Distracted Driving on Drivers' Infractions and Their Subsequent Impact on Traffic Accidents Severity.

Authors:  Susana García-Herrero; Juan Diego Febres; Wafa Boulagouas; José Manuel Gutiérrez; Miguel Ángel Mariscal Saldaña
Journal:  Int J Environ Res Public Health       Date:  2021-07-04       Impact factor: 3.390

10.  Mobile phone use while driving: Prevalence, task management strategies, risk perception and attitude among Qassim University students.

Authors:  Laila Abdulrahman Almansoor; Saulat Jahan
Journal:  J Family Med Prim Care       Date:  2021-05-31
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.