Evidence map›Paper›PMID 27318232›Full record

ArticleSleep medicine2016

Zolpidem use and motor vehicle collisions in older drivers.

John N Booth, Michael Behring, Ryan S Cantor, Lisandro D Colantonio, Sherri Davidson, John P Donnelly, Erica Johnson, Kelsey Jordan, Chelsea Singleton, Fenglong Xie and 1 more

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Chronic oral administration ofLaboratory animal research · 2019
    Article
  6. Article
  7. Article
  8. Review
  9. Observational
  10. Patterns of Psychiatric Outpatient Practice in Taiwan: A Nationwide Survey.International journal of environmental research and public health · 2016
    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 at 1 institution in 1 country.

John N BoothUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Michael BehringUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Ryan S CantorUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Lisandro D ColantonioUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Sherri DavidsonUniversity of Alabama at Birmingham, Birmingham, AL, USA.
John P DonnellyUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Erica JohnsonUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Kelsey JordanUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Chelsea SingletonUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Fenglong XieUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Gerald McGwinUniversity of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: gmcgwin@uabmc.edu.
University of Alabama at Birmingham · US

Funding

UAB Health Services Research (HSR) Training ProgramT32HS013852 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, MUGAVERO, MICHAEL J · 2003 to 2024
$8.0M
Pilot CoreP30AG022838 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALL, KARLENE K · 2003 to 2020
$5.7M
Older Drivers: An Evidence-Basis for Licensure StandardsR01EY018966 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OWSLEY, CYNTHIA · 2008 to 2018
$5.7M
AHRQ HHS HS013852AHRQ HHS HS013852-07AHRQ HHS T32 HS013852NEI NIH HHS R01 EY018966NIA NIH HHS P30 AG022838
6 · The paper itself

Abstract

objectivePrescription sleep medication use is most prevalent among women and older adults. Morning drowsiness and impaired coordination are side effects of sleep medications that may affect driving safety. The association between current use of zolpidem-containing medications and motor vehicle collisions (MVCs) was evaluated among drivers of advanced age.

methodsParticipants were current drivers aged ≥70 years residing in north-central Alabama, spoke English, had a valid driver's license, and had driven within the past three months (n = 2000). Current zolpidem use was determined by pill bottle review. The participant's five-year MVC history was determined from Alabama Department of Public Safety accident reports. The five-year MVC and at-fault MVC rate ratios (RR) were estimated comparing zolpidem users with nonusers in the overall sample and a priori-defined age and sex subgroups.

resultsThe unadjusted RR (95% confidence interval [CI]) of MVCs comparing zolpidem users with nonusers was attenuated after adjustment (1.46 [1.02-2.08] and 1.38 [0.97-1.98], respectively). Among women, the unadjusted and adjusted RRs (95% CI) were 1.65 (1.03-2.66) and 1.61 (1.00-2.60), respectively. The unadjusted and adjusted RRs (95% CI) among those aged 80 years or more were 2.24 (1.19-4.57) and 2.35 (1.20-4.61), respectively. There were no statistically significant associations among men or participants less than 80 years old. Similar patterns were present for at-fault MVCs.

conclusionCurrent zolpidem users, specifically women and individuals aged 80 years or more, had higher MVC rates than nonusers. Practitioners should consider behavioral treatment before initiating low doses of zolpidem and increasing it as needed to achieve restorative sleep in women and individuals aged 80 years or more to reduce the risk of zolpidem-associated MVCs.

Indexed as

Accidents, TrafficAgedAged, 80 and overAge FactorsAlabamaAutomobile DrivingFemaleHumansHypnotics and SedativesMalePyridinesRisk FactorsSex FactorsZolpidemHypnotics and SedativesPyridinesZolpidemAmbienElderlyGeriatricsMotor vehicle collisionsZolpidem

Identifiers

PMID27318232
PMCPMC4913027
OpenAlexW2209609063

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.