Evidence map›Paper›PMID 26712895›Full record

ArticleThe Annals of occupational hygiene2016

Injury Risk and Noise Exposure in Firefighter Training Operations.

Richard L Neitzel, Rachel N Long, Kan Sun, Stephanie Sayler, Terry L von Thaden

Open access · bronzeAbstract read
In one paragraph

Article in The Annals of occupational hygiene, 2016. 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
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Prevalence of Hearing Loss and Perceptions of Hearing Health and Protection among Florida Firefighters.International journal of environmental research and public health · 2023
    Article
  6. Monitoring Occupational Noise Exposure in Firefighters Using the Apple Watch.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Stress, health, noise exposures, and injuries among electronic waste recycling workers in Ghana.Journal of occupational medicine and toxicology (London, England) · 2019
    Article
  10. Noise exposure among federal wildland fire fighters.The Journal of the Acoustical Society of America · 2017
    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

5 authors at 2 institutions in 1 country.

Richard L Neitzel1.Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; 2.University of Michigan Risk Science Center, Ann Arbor, MI 48109, USA; rneitzel@umich.edu.
Rachel N Long1.Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;
Kan Sun1.Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;
Stephanie Sayler1.Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;
Terry L von Thaden3.Illinois Fire Service Institute, University of Illinois, Champaign, IL, USA.
University of Michigan–Ann Arbor · USUniversity of Illinois Urbana-Champaign · US

Funding

University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
ACL HHS T42OH008455NIOSH CDC HHS 2T42OH008455NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

introductionFirefighters have high rate of injuries and illnesses, as well as exposures to high levels of noise. This study explored the relationship between noise exposure and injury among firefighters.

methodsWe recruited firefighters undergoing vehicle extrication and structural collapse emergency response training at a highly realistic training facility. Demographics, health status, body mass index (BMI), and history of serious injuries (i.e. injuries requiring first aid treatment, treatment in a medical clinic or office, or treatment at a hospital) were assessed at baseline, and daily activities, injury events, and near misses were assessed daily via surveys. Participants' noise exposures were monitored for one 24-h period using noise dosimeters. We used a mixed-effects logistic regression model to estimate the odds of injury events and near misses associated with noise exposure as an independent variable.

resultsOf 56 subjects, 20 (36%) reported that they had ever suffered a serious injury during firefighting activities, and 9 (16%) reported a serious injury within the past year. We estimated rates of 6.6 lifetime serious injuries per 100 FTE 16.1 serious injuries per 100 FTE within the past year. Our models indicated a significant increase in injury events and near misses among those with higher BMI, and as well as a dose-response relationship between near misses/injuries and increasing noise levels. Noise levels >90 dBA in the 30 min prior to time of injury or near miss were associated with substantially increased odds ratios for injury or near miss. Our models further indicated that perceived job demands were significantly associated with increased risk of injury or near miss.

conclusionOur results suggest that noise exposures may need to be incorporated into injury prevention programs for firefighters to reduce injuries among this high-risk occupational group.

Indexed as

Accidents, OccupationalAdultFemaleFirefightersHumansLogistic ModelsMaleMiddle AgedNoise, OccupationalOccupational ExposureOccupational InjuriesOdds RatioRisk Factorsfirefightinginjury preventionnoise exposureoccupational injury

Identifiers

PMID26712895
PMCPMC4829339
OpenAlexW2260510661

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.