Evidence map›Paper›PMID 34379555›Full record

ArticleTraffic injury prevention2021

Trajectories of risky driving among emerging adults with their mental and psychosomatic health predictors in the 12th grade.

Xiang Gao, Federico E Vaca, Denise L Haynie, Bruce Simons-Morton, Kaigang Li

Open access · greenAbstract read
In one paragraph

Article in Traffic injury prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 2 countries.

Xiang GaoDepartment of Health & Exercise Science, Colorado State University, Fort Collins, Colorado.ORCID 0000-0001-8455-6206
Federico E VacaDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Denise L HaynieDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, Maryland.
Bruce Simons-MortonDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, Maryland.ORCID 0000-0003-1099-6617
Kaigang LiDepartment of Health & Exercise Science, Colorado State University, Fort Collins, Colorado.
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USColorado School of Public Health · USColorado State University · USYale University · US

Funding

Trajectory Outcomes of Teens that Ride with Impaired Drivers & Drive ImpairedR01AA026313 · NIAAA · YALE UNIVERSITY · PI VACA, FEDERICO E · 2018 to 2022
$2.8M
Delaying Licensure: Latino Teens Riding with Impaired Drivers and Impaired DrivingR21AA026346 · NIAAA · YALE UNIVERSITY · PI ROMANO, EDUARDO O, VACA, FEDERICO E · 2018 to 2019
$479k
NIAAA NIH HHS R01 AA026313NIAAA NIH HHS R21 AA026346NICHD NIH HHS HHSN275201200001CNICHD NIH HHS HHSN275201200001I
6 · The paper itself

Abstract

objectiveTo identify trajectory classes of risky driving among emerging adults and examine predictive associations of depressive and psychosomatic symptoms in the 12th grade with the identified trajectory classes.

methodsData were from the last year in high school (12th-Grade - Wave 3 [W3]) and years 1-4 after high school (Waves 4-7 [W4-7]) of the NEXT Generation Health Study, a nationally representative study starting with 10th grade (2009-2010). We measured risky driving with the 21-item Checkpoints Self-Reported Risky Driving Scale (C-RDS). Using C-RDS data from W3-7, the latent class growth modeling (LCGM) was used to identify risky driving trajectory classes. Independent variables were W3 depressive symptoms and W3 psychosomatic symptoms. Covariates included family affluence and urbanicity. The LCGM was conducted with SAS PROC Traj. The multinomial logistic regressions were used to examine the associations between the trajectory classes and independent variables, taking complex survey sampling features into account.

resultsThree risky driving trajectories were identified: low (

conclusionsHigh school students with depressive and psychosomatic symptoms were at higher risk of engaging in risky driving in the immediate years after leaving high school. These findings suggest that prevention programs that incorporate screening, referral to treatment, and treatment of mental and psychosomatic symptoms in high school may be important opportunities to reduce risky driving among youth as they transition from adolescence to emerging adulthood.

Indexed as

Accidents, TrafficAutomobile DrivingAdolescentAdultEducational StatusHumansSelf ReportSurveys and Questionnairesdepressive symptomspsychosomatic symptomsRisky drivingtrajectory classesyoung drivers

Identifiers

PMID34379555
PMCPMC8792148
OpenAlexW3189134655

What OpenQuestion holds

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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.