Evidence map›Paper›PMID 24811905›Full record

ArticleAmerican journal of industrial medicine2014

Occupational fatalities among driver/sales workers and truck drivers in the United States, 2003-2008.

Guang X Chen, Harlan E Amandus, Nan Wu

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Descriptive summary of fatal work-related injuries, Western States, 2011-2017.Journal of occupational and environmental hygiene · 2024
    Article
  3. Article
  4. Article
  5. Work-Related Injuries Reported toWorkers Compensation Fund in Tanzania from 2016 to 2019.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Guang X ChenDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia.
Harlan E Amandus
Nan Wu

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThis study provides a national profile of occupational fatalities among truck drivers and driver-sales workers.

methodsData from the 2003-2008 Census of Fatal Occupational Injuries were used. Cases were extracted specifically for occupational subcategories included in the Driver/Sales Workers and Truck Drivers occupational category: Driver/Sales Workers, Heavy and Tractor-Trailer Truck Drivers, and Light Truck or Delivery Services Drivers.

resultsIn 2003-2008, the group Driver/Sales Workers and Truck Drivers had 5,568 occupational fatalities, representing 17% of all occupational fatalities in the United States. The majority of these fatalities were in the subgroup Heavy and Tractor-Trailer Truck Drivers (85%) and due to transportation incidents (80%). Older and male drivers had higher fatality rates than their counterparts.

conclusionsFindings suggest a need for targeted interventions to reduce highway fatalities among heavy truck drivers. Better employment data are needed to separate the three occupational subcategories by worker characteristic and employment history for use in research and prevention efforts.

Indexed as

Automobile DrivingAccidents, OccupationalAccidents, TrafficAdolescentAdultAgedAged, 80 and overAge DistributionFemaleHumansMaleMiddle AgedMotor VehiclesOccupational InjuriesRisk FactorsSex DistributionCFOIdelivery/sales workershighway injuriesmotor vehicle safetyoccupational fatalitiestruck drivers

Identifiers

PMID24811905
PMCPMC4565185

What OpenQuestion holds

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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.