Evidence map›Paper›PMID 36939676›Full record

ArticleTraffic injury prevention2023

Associations of cannabis use with motor vehicle crashes and traffic stops among older drivers: AAA LongROAD study.

Shelby Davis, Marian E Betz, Linda L Hill, David W Eby, Vanya C Jones, Thelma J Mielenz, Lisa J Molnar, David Strogatz, Kate Clancy, Guohua Li and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Traffic injury prevention, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Marijuana use among community-dwelling older adults: A population-based study.International journal of geriatric psychiatry · 2024
    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

11 authors.

Shelby DavisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Marian E BetzDepartment of Emergency Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Linda L HillSchool of Public Health, University of California San Diego, La Jolla, California.
David W EbyUniversity of Michigan Transportation Research Institute, College of Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-8650-0628
Vanya C JonesDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Thelma J MielenzDepartment of Epidemiology, Mailman School of Public Health, Columbia University Center for Injury Science and Prevention, Columbia University, New York, New York.ORCID 0000-0001-5975-7209
Lisa J MolnarUniversity of Michigan Transportation Research Institute, College of Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9556-1761
David StrogatzBassett Research Institute, Bassett Healthcare Network, Cooperstown, New York.ORCID 0000-0002-5805-6280
Kate ClancyDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Guohua LiDepartment of Epidemiology, Mailman School of Public Health, Columbia University Center for Injury Science and Prevention, Columbia University, New York, New York.ORCID 0000-0003-4732-2448
Carolyn G DiGuiseppiDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0002-6440-7817

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR002535NCIPC CDC HHS R49 CE002096
6 · The paper itself

Abstract

backgroundAcute cannabis use is associated with a higher risk of motor vehicle crashes (MVC). This study aimed to determine if self-reported past-year cannabis use is associated with MVC or traffic stops among older drivers.

methodsThis cross-sectional analysis used data from a multi-center study enrolling active drivers aged 65-79 years. Data regarding cannabis use, MVC, and traffic stops (i.e., being pulled over by police, whether ticketed or not) within the previous 12 months were collected through participant interviews. Log-binomial regression models examined associations of past-year cannabis use with MVC and traffic stops, adjusting for site and sociodemographic and mental health characteristics.

resultsOf 2,095 participating older drivers, 186 (8.88%) used cannabis in the past year but only 10 (<0.5%) within an hour before driving in the last 30 days; 11.41% reported an MVC and 9.45% reported a traffic stop. Past-year cannabis users had a higher prevalence of MVC (adjusted prevalence ratio [aPR] = 1.38; 95%CI: 0.96, 2.00;

conclusionsPast-year cannabis use was associated with increased traffic stops, which are correlated modestly with increased MVC in past studies and may indicate impaired driving performance. We did not find a statistically significant association of past-year cannabis use with MVC, which may indicate limited sustained effects on driving performance from periodic use among older adults, who report rarely driving immediately after use.

Indexed as

Automobile DrivingCannabisAccidents, TrafficAgedCross-Sectional StudiesHumansMotor VehiclesPolicecannabisdrivingmotor vehicle crashesOlder driverstraffic stops

Identifiers

PMID36939676
PMCPMC13211315

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.