Evidence map›Paper›PMID 32741358›Full record

ArticleInjury epidemiology2020

Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study.

Linda L Hill, Howard Andrews, Guohua Li, Carolyn G DiGuiseppi, Marian E Betz, David Strogatz, Patricia Pepa, David W Eby, David Merle, Tara Kelley-Baker and 2 more

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Impact of Anxiety and Anxiolytic Medication on Driving Outcomes in Older Adults: A LongROAD Study.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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  16. Age-Related Diseases and Driving Safety.Geriatrics (Basel, Switzerland) · 2020
    Review
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

12 authors at 11 institutions in 1 country.

Linda L HillDepartment of Family Medicine and Public Health, University of California, 200 W Arbor Dr., MC 0811, San Diego, CA, 92103, USA. llhill@ucsd.edu.
Howard AndrewsDepartment of Biostatistics, Mailman School of Public Health, Columbia University, 1051 Riverside Dr. Unit 47, New York, NY, 10032, USA.
Guohua LiDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St. Rm 524, New York, NY, 10032, USA.
Carolyn G DiGuiseppiDepartment of Epidemiology, Colorado School of Public Health, 13001 E. 17th Place, Mail Stop B119, Bldg. 500, Rm. W3138, Aurora, CO, 80045, USA.
Marian E BetzDepartment of Emergency Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Leprino Building, Campus Box B215, 12401 East 17th Ave, Aurora, CO, 80045, USA.
David StrogatzBassett Research Institute, Bassett Healthcare Network, 1 Atwell Rd, Cooperstown, NY, 13326, USA.
Patricia PepaDepartment of Ambulatory Care Clinical Pharmacy, Kaiser Permanente, Oakland, USA.
David W EbyTransportation Research Institute, University of Michigan, 2901 Baxter Rd, Ann Arbor, MI, 48109, USA.
David MerleDepartment of Biostatistics, Mailman School of Public Health, Columbia University, 1051 Riverside Dr. Unit 47, New York, NY, 10032, USA.
Tara Kelley-BakerAAA Foundation for Traffic Safety, 607 14th St. NW, Ste. 201, Washington, DC, 20005, USA.
Vanya JonesJohns Hopkins Bloomberg School of Public Health, 624 North Broadway, Hampton House, Baltimore, MD, 21205, USA.
Samantha PittsDepartment of Medicine, School of Medicine, Johns Hopkins University, 733 North Broadway, Baltimore, MD, 21205, USA.
Columbia University · USAAA Foundation for Traffic Safety · USBassett Healthcare Network · USBaxter (United States) · USColorado School of Public Health · USColumbia University Irving Medical Center · USJohns Hopkins Medicine · USJohns Hopkins University · USKaiser Permanente · USUniversity of California System · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
AAA Foundation for Traffic Safety PG005418NIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

backgroundThe potential for impaired driving due to medication use can occur at any age, though older adults are more likely to take multiple prescribed medications and experience side effects that may affect driving ability. The purpose of this study was to characterize the relationship between medications and driving safety behaviors.

methodsData for this study came from the five-site Longitudinal Research on Aging Drivers (LongROAD) project. Participants were active drivers, age 65-79 years at enrollment, and patients at one of the 5 participating sites. Medication names and doses were obtained at baseline based on the "brown-bag review" method. Medications were coded using the American Hospital Formulary Service system. Driving data were collected by a GPS accelerometer installed in the study participants' main vehicles.

resultsMedication data were available for 2949 (98.6%) of the 2990 participants, and 2898 (96.9% of all participants) had both medication data and at least 30 recorded days of driving. The median number of medications taken per study participant was seven, with a range of 0-51. Total number of medications was significantly associated with a higher rapid deceleration rate. Certain medication classes were significantly associated with other driving outcomes, including central nervous system agents (more speeding events), hormones and gastrointestinal medications (more rapid decelerations), electrolytes (fewer rapid decelerations), and antihistamines (greater right to left turn ratio).

conclusionsOlder adult drivers are taking large quantities of prescription and non-prescription medications that may affect their driving safety. Certain medication classes are associated with potentially adverse driving patterns, such as speeding and rapid decelerations, while others are associated with potentially protective maneuvers, such as right hand turning. Further research is warranted to identify and mitigate potential adverse effects of such medications on driving safety in older adults.

Indexed as

Driving outcomeDriving safetyMedicationOlder adultOlder driver

Identifiers

PMID32741358
PMCPMC7397667
OpenAlexW3046286643

What OpenQuestion holds

Textmetadata
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.