Evidence map›Paper›PMID 26280804›Full record

ArticleAccident; analysis and prevention2015

Texting while driving as impulsive choice: A behavioral economic analysis.

Yusuke Hayashi, Christopher T Russo, Oliver Wirth

3 registry-linked trialsAbstract read
In one paragraph

Article in Accident; analysis and prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

NCT03833219 nacompletednot on this mapstarted 2019, after this paper: background citation

Comparative Effectiveness of Financial Incentives and Smartphone-based Nudges to Reduce Cellphone Use While Driving Among Auto Insurance Policy Holders With Usage Based Insurance Policies

TypeinterventionalSponsorUniversity of PennsylvaniaRan2019 to 2020Enrolled2,108ConditionsAutomobile AccidentArmsWeekly feedback, End of intervention period incentive, Loss-framed weekly incentive
NCT04587609 nacompletednot on this mapstarted 2021, after this paper: background citation

Comparative Effectiveness of Behavioral Interventions, Safety Devices, and Financial Incentives to Reduce Cellphone Use While Driving Among UBI Policy Holders

TypeinterventionalSponsorUniversity of PennsylvaniaRan2021 to 2021Enrolled1,668ConditionsDistracted Driving, Driving ImpairedArmsFree Phone Mounts, Commitment Contract, Personalized Habit Tips, Social Gamification Feedback, "Contest" Financial Incentives
NCT05298267 nawithdrawnnot on this mapstarted 2022, after this paper: background citation

Reducing Distracted Driving With the Flip of a Switch

TypeinterventionalSponsorUniversity of PennsylvaniaRan2022 to 2022Enrolled0ConditionsAutomobile AccidentArmsDo Not Disturb While Driving
3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Texting while driving: A discrete choice experiment.Accident; analysis and prevention · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Does delay discounting predict maladaptive health and financial behaviors in smokers?Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
  12. Texting/Emailing While Driving Among High School Students in 35 States, United States, 2015.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
    Article
  13. Article
  14. Executive function and dangerous driving behaviors in young drivers.Transportation research. Part F, Traffic psychology and behaviour · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Yusuke HayashiPennsylvania State University, Hazleton, 76 University Drive, Hazleton, PA 18202, USA. Electronic address: yuh26@psu.edu.
Christopher T RussoPennsylvania State University, Hazleton, 76 University Drive, Hazleton, PA 18202, USA.
Oliver WirthNational Institute for Occupational Safety and Health, 1095 Willowdale Rd, Morgantown, WV 26505, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The goal of the present study was to examine the utility of a behavioral economic analysis to investigate the role of delay discounting in texting while driving. A sample of 147 college students completed a survey to assess how frequently they send and read text messages while driving. Based on this information, students were assigned to one of two groups: 19 students who frequently text while driving and 19 matched-control students who infrequently text while driving but were similar in gender, age, years of education, and years driving. The groups were compared on the extent to which they discounted, or devalued, delayed hypothetical monetary rewards using a delay-discounting task. In this task, students made repeated choices between $1000 available after a delay (ranging from 1 week to 10 years) and an equal or lesser amount of money available immediately. The results show that the students who frequently text while driving discounted delayed rewards at a greater rate than the matched control students. The study supports the conclusions that texting while driving is fundamentally an impulsive choice made by drivers, and that a behavioral economic approach may be a useful research tool for investigating the decision-making processes underlying risky behaviors.

Indexed as

Delay DiscountingImpulsive BehaviorText MessagingAdolescentAutomobile DrivingEconomics, BehavioralFemaleHumansMaleRewardStudentsSurveys and QuestionnairesYoung AdultBehavioral economicsChoiceCollege studentsDecision makingDelay discountingImpulsivityTexting while driving

Identifiers

PMID26280804
PMCPMC4604567

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.