Evidence map›Paper›PMID 27656355›Full record

ArticlePreventive medicine reports2016

Texting while driving: A study of 1211 U.S. adults with the Distracted Driving Survey.

Emily Gliklich, Rong Guo, Regan W Bergmark

Abstract read
In one paragraph

Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario.International journal of environmental research and public health · 2022
    Article
  7. Patterns of Pediatric Facial Fractures.Craniomaxillofacial trauma & reconstruction · 2021
    Article
  8. Article
  9. Texting while driving: A discrete choice experiment.Accident; analysis and prevention · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. The influence of an injury prevention program on young road users: a German experience.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2019
    Article
  14. Observational
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Emily GliklichClinical Outcomes Research Unit, Massachusetts Eye and Ear, United States.
Rong GuoDepartment of Otolaryngology, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, United States; Harvard Medical School, Boston, MA, United States.
Regan W BergmarkClinical Outcomes Research Unit, Massachusetts Eye and Ear, United States; Department of Otolaryngology, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, United States; Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Texting and other cell-phone related distracted driving is estimated to account for thousands of motor vehicle collisions each year but studies examining the specific cell phone reading and writing activities of drivers are limited. The objective of this study was to describe the frequency of cell-phone related distracted driving behaviors. A national, representative, anonymous panel of 1211 United States drivers was recruited in 2015 to complete the Distracted Driving Survey (DDS), an 11-item validated questionnaire examining cell phone reading and writing activities and at what speeds they occur. Higher DDS scores reflect more distraction. DDS scores were analyzed by demographic data and self-reported crash rate. Nearly 60% of respondents reported a cell phone reading or writing activity within the prior 30 days, with reading texts (48%), writing texts (33%) and viewing maps (43%) most frequently reported. Only 4.9% of respondents had enrolled in a program aimed at reducing cell phone related distracted driving. DDS scores were significantly correlated to crash rate (p < 0.0001), with every one point increase associated with an additional 7% risk of a crash (p < 0.0001). DDS scores were inversely correlated to age (p < 0.0001). The DDS demonstrated high internal consistency (Cronbach's alpha = 0.94). High rates of cell phone-related distraction are reported here in a national sample. Distraction is associated with crash rates and occurs across all age groups, but is highest in younger drivers. The DDS can be used to evaluate the impact of public health programs aimed at reducing cell-phone related distracted driving.

Indexed as

AccidentsAutomobile drivingCell phonesText messagingTraffic

Identifiers

PMID27656355
PMCPMC5030365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.