Evidence map›Paper›PMID 31517969›Full record

ArticleJAMA network open2019

Working Memory Development and Motor Vehicle Crashes in Young Drivers.

Elizabeth A Walshe, Flaura K Winston, Laura M Betancourt, Atika Khurana, Kristin Arena, Daniel Romer

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Novel use of a virtual driving assessment to classify driver skill at the time of licensure.Transportation research. Part F, Traffic psychology and behaviour · 2022
    Article
  6. Article
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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

6 authors at 3 institutions in 1 country.

Elizabeth A WalsheThe Annenberg Public Policy Center at the University of Pennsylvania, Philadelphia.
Flaura K WinstonThe Annenberg Public Policy Center at the University of Pennsylvania, Philadelphia.
Laura M BetancourtThe Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Atika KhuranaCollege of Education, University of Oregon, Eugene.
Kristin ArenaThe Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Daniel RomerThe Annenberg Public Policy Center at the University of Pennsylvania, Philadelphia.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · USUniversity of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Adolescent drivers have the highest rate of motor vehicle crashes, and among equally novice drivers, crash risk is inversely age graded. Working memory (WM), crucial to driving hazard awareness, is also age graded, with ongoing development into late adolescence. Variability in WM capacity and growth trajectory positions WM as a candidate crash risk factor for study, clinical screening, and possible preventative intervention. Objective: To test the association between crashes and differential WM development. Design, Setting, and Participants: This prospective cohort study used data from a longitudinal cohort of 118 community youth in Philadelphia, Pennsylvania. Working memory and other risk factors were measured annually from age 11 to 13 years (prelicensure, in 2005) to 14 to 16 years (in 2009), and again at 18 to 20 years (in 2013). In 2015, a follow-up survey of driving experience identified 84 participants who had started driving. Latent growth curve modeling was used to examine the association between variability in the baseline (intercept) and developmental trajectory (slope) of WM and the crash outcome. Main Outcomes and Measures: Self-reported crashes were the primary outcome. Variability in the relative growth of WM development along with traits and behaviors associated with risky driving were assessed. Results: Of 84 participants (39 [46%] male; mean [SD] age, 20.46 [1.09] years), 25 (29.8%) reported they had been involved in at least 1 crash. Controlling for other crash risk factors, the model indicated that variation in the linear slope of WM growth was inversely associated with reporting a crash (b = -6.41; SE = 2.64; P = .02). Crashes were also associated with reckless driving behavior (b = 0.40; SE = 0.18; P = .03). Variation in the intercept of WM was not associated with crashes (b = -0.245; SE = 0.67; P = .72). Conclusions and Relevance: The results suggest that a relatively slower WM growth trajectory is associated with young driver crashes. Routine assessment of WM across adolescence may help to identify at-risk teen drivers and opportunities for providing adaptive interventions (eg, driving aids or training) that can address limitations in WM-related skills that are critical for safe driving.

Indexed as

Accidents, TrafficAdolescentAdolescent BehaviorAge FactorsAttentionAutomobile DrivingDriving Under the InfluenceFemaleHumansImpulsive BehaviorLicensureLongitudinal StudiesMaleMemory, Short-TermNeurocognitive DisordersPhiladelphia

Identifiers

PMID31517969
PMCPMC6745049
OpenAlexW2972994953

What OpenQuestion holds

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LicenceCC BY
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.