Evidence map›Paper›PMID 23182780›Full record

ArticleAccident; analysis and prevention2013

Trajectories of kinematic risky driving among novice teenagers.

Bruce G Simons-Morton, Kyeongmi Cheon, Feng Guo, Paul Albert

Abstract read
In one paragraph

Article in Accident; analysis and prevention, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Driving in search of analyses.Statistics in medicine · 2017
    Article
  4. Article
  5. 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

4 authors.

Bruce G Simons-MortonDivision of Epidemiology, Statistics, and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892-7510, United States. MortonB@mail.nih.gov
Kyeongmi Cheon
Feng Guo
Paul Albert

Funding

Preventing Motor Vehicle Crashes Among Young DriversZIAHD001707 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SIMONS-MORTON, BRUCE G · 2009 to 2019
$4.0M
Preventing Motor Vehicle Crashes Among Young DriversZ01HD001707 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SIMONS-MORTON, BRUCE G · 1999 to 2008
$959k
Analysis of longitudinal count data in long sequencesZIAHD008902 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ALBERT, PAUL · 2011 to 2016
$195k
Intramural NIH HHS Z01 HD001707Intramural NIH HHS ZIA HD001707NICHD NIH HHS N01-HD-5-3405
6 · The paper itself

Abstract

objectivesElevated gravitational force event rates are associated with the likelihood of a crash or near crash and provide an objective measure of risky driving. The purpose of this research is to examine the patterns over time of kinematic measures of risky driving among novice teenage drivers.

methodsDriving data were collected from 42 newly licensed teenage drivers during the first 18 months of licensure. Data recording systems installed in participants' vehicles provided information on driving performance and driver characteristics. Latent class and logistic regression models were used to analyze trajectories of elevated gravitational-force (g-force) event rates, called kinematic risky driving, with respect to risk groups and associated factors.

resultsKinematic risky driving over the 18-month study period was best characterized as two classes, a higher-risk and a lower-risk class. The rate of kinematic risky driving during the first 6 months generally maintained over 18 months. Indeed, of those classified by latent class analysis as higher risk, 88.9%, 94.4% and 94.4% had average event rates above the median in the 1st, 2nd, and 3rd 6-month periods, respectively, indicating substantial tracking over time. Friends' risky driving, friends' risky behavior, self-reported risky driving, and perceptions about risky driving and driving privileges were associated with trip-level rates of kinematic risky driving. However, none of these factors was associated with trip-level rates after stratifying by overall risk in a latent class model, although friend's risky driving was marginally significant.

conclusionKinematic risky driving tended to track over time within the lower and higher risky driving groups. Self-reported risky driving and having risky friends were predictors of kinematic risky driving rates, but these variables did not explain the heterogeneity within higher and lower classes of risky drivers.

Indexed as

AccelerationAdolescent BehaviorDangerous BehaviorGravitationAccelerometryAdolescentAttitudeAutomobile DrivingDecelerationFemaleFriendsHumansMaleModels, StatisticalPersonalityPsychology, Adolescent

Identifiers

PMID23182780
PMCPMC3556237

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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.