Evidence map›Paper›PMID 30157082›Full record

ArticleEar and hearing

Hearing Protector Attenuation and Noise Exposure Among Metal Manufacturing Workers.

Stephanie K Sayler, Peter M Rabinowitz, Deron Galusha, Kan Sun, Richard L Neitzel

Abstract read
In one paragraph

Article in Ear and hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Contributions and limitations of using machine learning to predict noise-induced hearing loss.International archives of occupational and environmental health · 2021
    Review
  5. Review
  6. Hearing loss, lead (Pb) exposure, and noise: a sound approach to ototoxicity exploration.Journal of toxicology and environmental health. Part B, Critical reviews · 2018
    Review
  7. 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.

Stephanie K SaylerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Peter M RabinowitzDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington, USA.
Deron GalushaYale School of Medicine, New Haven, Connecticut, USA.
Kan SunDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Richard L NeitzelDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.

Funding

University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Risk factors for Alzheimer's Disease and Related Dementia: Evidence from a Large Occupational CohortR01AG026291 · NIA · YALE UNIVERSITY · PI CANTLEY, LINDA, EISEN, ELLEN AURA · 2006 to 2021
$12.9M
Assessing Hearing Conservation EffectivenessR01OH010132 · OH · YALE UNIVERSITY · PI NEITZEL, RICHARD L, RABINOWITZ, PETER MACGARR · 2011 to 2014
$2.5M
NIA NIH HHS R01 AG026291NIOSH CDC HHS R01 OH010132NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

objectivesThis study utilized personal noise measurements and fit-testing to evaluate the association between noise exposures and personal attenuation rating (PAR) values among participating workers, and second, to compare the attenuated exposure levels received by the workers and the British Standards Institute's recommended noise exposure range of 70 to 80 dBA.

designWe measured hearing protection device (HPD) attenuation among a sample of 91 workers at 2 US metal manufacturing facilities, through performance of personal noise dosimetry measurements and HPD fit-testing over multiple work shifts. We compared this testing with participant questionnaires and annual audiometric hearing threshold results.

resultsThe average 8-hr time-weighted average noise exposures for study participants was 79.8 dBA (SD = 7.0 dBA), and the average PAR from fit-testing was 20.1 dB (±6.7 dB). While differences existed between sites, 84% of the 251 PAR measurements resulted in effective protection levels below the recommended 70 dBA (indicating overprotection), while workers were underprotected (i.e., effective exposures >80 dBA) during <1% of monitored shifts. Our results also demonstrated a significant positive relationship between measured noise exposure and PAR among non-custom-molded plug users (p = 0.04). Non-custom-molded plug wearers also showed a significant increase in PAR by sequential fit-test interaction (p = 0.01), where on average, subsequent fit-testing resulted in increasingly higher HPD attenuation. Workers at site 1 showed higher PARs. PARs were significantly related to race, even when adjusting for site location. While age, hearing threshold level, task, and self-reported tinnitus showed no significant effect on individual PAR in an unadjusted model, site, race, and sand- or water-blasting activities were significant predictors in adjusted models. Within-worker variability in time-weighted averages and PARs across repeated measurements was substantially lower than variability between workers.

conclusionsCareful selection of HPDs is necessary to minimize instances of overprotection to workers in low and moderate occupational noise environments. The use of fit-testing in hearing conservation programs to evaluate PAR is recommended to avoid overprotection from noise exposure while also minimizing instances of under-attenuation.

Indexed as

Ear Protective DevicesManufacturing IndustryNoise, OccupationalAdultEquipment DesignFemaleHearing Loss, Noise-InducedHumansMaleMetalsMiddle AgedOccupational ExposureMetals

Identifiers

PMID30157082
PMCPMC6395583

What OpenQuestion holds

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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.