Evidence map›Paper›PMID 38213500›Full record

ArticleInternational journal of forest engineering2023

Exploring determinants of log truck accidents resulting in injury or fatality in the Northwest United States between 2015-2019 using Motor Carrier Management Information System data.

Allison Clonch, Marcy Harrington, June Spector, Lily M Monsey, Marissa G Baker

Open access · greenAbstract read
In one paragraph

Article in International journal of forest engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Allison ClonchDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
Marcy HarringtonDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
June SpectorDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
Lily M MonseyDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
Marissa G BakerDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
University of Washington Education and Research CenterT42OH008433 · OH · UNIVERSITY OF WASHINGTON · PI SIMPSON, CHRISTOPHER D · 2005 to 2024
$29.4M
Pacific Northwest Agricultural Safety and Health Center-RenewalU54OH007544 · OH · UNIVERSITY OF WASHINGTON · PI YOST, MICHAEL G · 2011 to 2025
$23.0M
NIEHS NIH HHS P30 ES007033NIOSH CDC HHS T42 OH008433NIOSH CDC HHS U54 OH007544
6 · The paper itself

Abstract

Log truck drivers represent a high-risk yet understudied worker population. Logging, more generally, is known to be one of the most dangerous industries in the country, but little is known about injury and fatality rates among log truck drivers specifically. Using data from the Motor Carrier Management Information System (MCMIS), this study aims to characterize log truck crashes in Washington, Oregon, Idaho, and Montana. Using multiple logistic regression, we estimated the odds of a crash resulting in an injury or fatality by environmental and structural conditions at the time of each crash. Results indicate that the presence of a positive median barrier is strongly associated with a decreased odds of injury or fatality for log truck crashes (Odds Ratio (OR) = 0.45, p = 0.03). An increased number of vehicles involved in the crash was significantly associated with an increased odds of injury or fatality (OR = 1.32, p = 0.01). Crashes occurring in Washington or Oregon had significantly decreased odds of resulting in an injury or fatality, in comparison to Idaho and Montana (OR = 0.14, p < 0.001; OR = 0.53, p = 0.01, respectively). These results indicate that the presence of highway safety measures and a state-approved OSHA plan may be beneficial in decreasing the odds of injury or fatality in log truck crashes.

Indexed as

forestry operationsforestry transportationlogging safetytruck safety

Identifiers

PMID38213500
PMCPMC10783025
OpenAlexW4324327004

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.