Literature DB >> 9666247

Cellular phones and fatal traffic collisions.

J M Violanti1.   

Abstract

A case-control study was conducted to determine statistical associations between traffic fatalities and the use or presence of a cellular phone, given involvement in a collision. The hypothesis of this study does not imply that cellular phones directly affect fatalities, but that phones increase the risk of certain accident characteristics in fatal collisions more than those same characteristics in non-fatal collisions. Analysis employed data from 223,137 traffic accidents occurring between 1992 and 1995. Information on collision characteristics and cellular phone involvement for each fatality was compared with the same information for each non-fatality (controls). Statistically adjusting for other collision variables (age, gender, alcohol use, speed, inattention and driving left of center), an approximate nine-fold increased risk was found for a fatality given the use of a cellular phone. An approximate two-fold increased risk for a fatality was found given the presence of a cellular phone in the vehicle. Combined effects of reported phone use, driving to the left of center and inattention increased the risk of a fatal collision more than phone use did by itself. This analysis implies a statistical, but not necessarily a causal, relationship. A multitude of factors are involved in any traffic collision, and the exact cause of an accident and its severity level is difficult to disentangle.

Entities:  

Mesh:

Year:  1998        PMID: 9666247     DOI: 10.1016/s0001-4575(97)00094-8

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  9 in total

1.  Car phones and car crashes: some popular misconceptions.

Authors:  D A Redelmeier; R J Tibshirani
Journal:  CMAJ       Date:  2001-05-29       Impact factor: 8.262

2.  Impact of texting laws on motor vehicular fatalities in the United States.

Authors:  Alva O Ferdinand; Nir Menachemi; Bisakha Sen; Justin L Blackburn; Michael Morrisey; Leonard Nelson
Journal:  Am J Public Health       Date:  2014-06-12       Impact factor: 9.308

3.  Mobile phones, in combination with a computer locator system, improve the response times of emergency medical services in central London.

Authors:  J A Gossage; D P Frith; T W G Carrell; M Damiani; J Terris; K G Burnand
Journal:  Ann R Coll Surg Engl       Date:  2008-03       Impact factor: 1.891

4.  Data acquisition, analysis and transmission platform for a Pay-As-You-Drive system.

Authors:  Luciano Boquete; José Manuel Rodríguez-Ascariz; Rafael Barea; Joaquín Cantos; Juan Manuel Miguel-Jiménez; Sergio Ortega
Journal:  Sensors (Basel)       Date:  2010-06-01       Impact factor: 3.576

5.  Relationship between family history of alcohol addiction, parents' education level, and smartphone problem use scale scores.

Authors:  Ashley Beison; David J Rademacher
Journal:  J Behav Addict       Date:  2017-03-20       Impact factor: 6.756

6.  Road Traffic Injuries and Fatalities among Drivers Distracted by Mobile Devices.

Authors:  Natasa Zatezalo; Mete Erdogan; Robert S Green
Journal:  J Emerg Trauma Shock       Date:  2018 Jul-Sep

7.  Risk Perceptions of Cellphone Use While Driving: Results from a Delphi Survey.

Authors:  Motao Zhu; Toni M Rudisill; Kimberly J Rauscher; Danielle M Davidov; Jing Feng
Journal:  Int J Environ Res Public Health       Date:  2018-05-25       Impact factor: 3.390

8.  Social norms and risk perception: predictors of distracted driving behavior among novice adolescent drivers.

Authors:  Patrick M Carter; C Raymond Bingham; Jennifer S Zakrajsek; Jean T Shope; Tina B Sayer
Journal:  J Adolesc Health       Date:  2014-05       Impact factor: 5.012

9.  A proposal for including nomophobia in the new DSM-V.

Authors:  Nicola Luigi Bragazzi; Giovanni Del Puente
Journal:  Psychol Res Behav Manag       Date:  2014-05-16
  9 in total

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