Evidence map›Paper›PMID 37717297›Full record

ArticleAccident; analysis and prevention2023

Longitudinal perspectives of riding with a cannabis-impaired driver.

Barbara C Banz, Deepa R Camenga, Kaigang Li, Vanessa Zuniga, Ronald J Iannotti, Candice Grayton, Denise L Haynie, Bruce G Simons-Morton, Leslie Curry, Federico E Vaca

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Accident; analysis and prevention, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 5 institutions in 1 country.

Barbara C BanzDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Yale Developmental Neurocognitive Driving Simulation Research Center (DrivSim Lab), New Haven, CT, USA. Electronic address: barbara.banz@yale.edu.
Deepa R CamengaDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Yale Developmental Neurocognitive Driving Simulation Research Center (DrivSim Lab), New Haven, CT, USA.
Kaigang LiYale Developmental Neurocognitive Driving Simulation Research Center (DrivSim Lab), New Haven, CT, USA; Department of Health & Exercise Science, Colorado State University, Fort Collins, CO, USA; Colorado School of Public Health, Fort Collins, CO, USA.
Vanessa ZunigaDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Yale Developmental Neurocognitive Driving Simulation Research Center (DrivSim Lab), New Haven, CT, USA.
Ronald J IannottiThe CDM Group, Inc., Chevy Chase, MD, USA.
Candice GraytonThe CDM Group, Inc., Chevy Chase, MD, USA.
Denise L HaynieEunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.
Bruce G Simons-MortonEunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.
Leslie CurryYale University School of Public Health, New Haven, CT, USA.
Federico E VacaDepartment of Emergency Medicine, University of California, Irvine School of Medicine, Irvine, CA, USA.
Yale University · USCDM Group (United States) · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USColorado School of Public Health · USUniversity of California, Irvine · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Trajectory Outcomes of Teens that Ride with Impaired Drivers & Drive ImpairedR01AA026313 · NIAAA · YALE UNIVERSITY · PI VACA, FEDERICO E · 2018 to 2022
$2.8M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA026313NICHD NIH HHS HHSN275201200001CNICHD NIH HHS HHSN275201200001I
6 · The paper itself

Abstract

objectiveTo explore decisions and perceptions of engaging in riding with a cannabis-impaired driver (RWI) during high school and young adulthood to build context around RWI-cannabis events.

methodsParticipants were sampled from the NEXT Generation Health Study (NEXT), a 7-year national cohort study of adolescent health behaviors. Four RWI and driving while impaired (DWI) trajectories classes (i.e., Abstainer, Escalator, Decliner, Persister) were previously derived.A theoretical model based on ecological systems theory guidedin-depth semi-structured interviews to includecomplex, social-developmental and environmental multi-level factors affectingpersonal experiences with RWI-cannabis during high school, after high school, and during young adulthood. Participants (n = 105) were purposively selected from each trajectory class for follow-up, in-depth, qualitative interviews. All interviews were conducted via Zoom between March and September 2020.

resultsTwo unique themes emerged as facilitators of RWI-cannabis: "Driving Context" and "Trust in Driver". "Legal Concerns" and "Concerns with Safety Emerge with Age" were themes that described deterrents to RWI-cannabis.

conclusionsCurrent data suggest that youth RWI-cannabis occurs during daytime hours and while driving to everyday activities. Youth report legal concerns as a potential deterrent to RWI-cannabis in high school and concerns for safety emerge in young adulthood. The multifaceted nature of RWI-cannabis among young drivers identifies potential complexities for programming designed to reduce RWI/DWI-cannabis.

Indexed as

Automobile DrivingCannabisAccidents, TrafficAdolescentAdultAlcohol DrinkingCohort StudiesHumansYoung AdultCannabisDrug impaired drivingImpaired drivingMarijuanaYouth

Identifiers

PMID37717297
PMCPMC10757553
OpenAlexW4386818301

What OpenQuestion holds

Textmetadata
LicenceTDM
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.