Evidence map›Paper›PMID 31891651›Full record

ArticlePloS one2019

Differences between occupational and non-occupational-related motor vehicle collisions in West Virginia: A cross-sectional and spatial analysis.

Toni Marie Rudisill, Sreyas Menon, Brian Hendricks, Motao Zhu, Gordon S Smith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 2 institutions in 1 country.

Toni Marie RudisillDepartment of Epidemiology, West Virginia University, Morgantown, West Virginia, United States of America.ORCID 0000-0002-2019-4274
Sreyas MenonSchool of Medicine, West Virginia University, Morgantown, West Virginia, United States of America.ORCID 0000-0001-6272-6614
Brian HendricksDepartment of Epidemiology, West Virginia University, Morgantown, West Virginia, United States of America.
Motao ZhuCenter for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, United States of America.
Gordon S SmithDepartment of Epidemiology, West Virginia University, Morgantown, West Virginia, United States of America.
West Virginia University · USNationwide Children's Hospital · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
Rural West Virginia Responds to Opioid Injection Epidemics: From Data to ActionUG3DA044825 · NIDA · WEST VIRGINIA UNIVERSITY · PI FEINBERG, JUDITH, SMITH, GORDON STEPHEN · 2017 to 2018
$1.0M
NIDA NIH HHS UG3 DA044825NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundMotor vehicle collisions comprise the majority of occupational-related fatalities in the United States and West Virginia has one of the highest occupational-related fatality rates in the nation. The purpose of this study was to compare work and non-work-related collisions, crash locations, and the characteristics of in-state and out-of-state drivers ≥18 years of age who were fatally injured in work-related collisions in West Virginia. METHODOLOGY: Data were from the 2000-2017 Fatality Analysis Reporting System. Work and non-work-related crashes and characteristics in-state vs. out-of-state drivers were compared using binary and multivariable logistic regression analyses. Crash locations were compared via spatial analyses using kernel density estimations.

resultsAmong the 5,835 individuals fatally injured in crashes, 209 were designated 'at work'. The odds of being a work-related crash were 85% lower [Odds Ratio (OR) = 0.15; 95% confidence interval (CI): 0.04, 0.49] among those testing positive for alcohol, but 2.5 times greater (OR = 2.56; 95% CI: 1.16, 5.65) among those holding a commercial driver's license. The odds of being an in-state driver were 75% lower (OR = 0.25; 95% CI: 0.12, 0.53) among those wearing a safety belt, but 2.7 times greater among workers testing drug positive (OR = 2.67; 95% CI: 1.10, 6.52). In-state drivers were also less likely to be driving a large truck or be involved in single vehicle collisions and less likely to experience crashes on weekends, nights, or on highways. Spatial patterns of crash locations varied slightly between workers and non-workers.

conclusionsWork-related crashes differed greatly from non-work-related crashes in West Virginia. Stark differences existed between in-state and out-of-state workers and their crashes. Various avenues for workplace safety interventions exist, including seatbelt initiatives and drug testing policies for non-commercial drivers, which could help mitigate West Virginia's elevated, occupational-related, traffic fatality rate.

Indexed as

Accidents, TrafficAdolescentAdultAutomobile DrivingCross-Sectional StudiesEthanolFemaleHumansMaleMiddle AgedRisk FactorsSeat BeltsSpatial AnalysisSubstance Abuse DetectionWest VirginiaYoung AdultEthanol

Identifiers

PMID31891651
PMCPMC6938377
OpenAlexW2996894066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.