Evidence map›Paper›PMID 34236555›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Is there a relationship between occupational noise and hearing levels, sleep quality, and QoL of the factory workers?

Hasan Demirtaş, Meral Saygun, Nuray Bayar Muluk

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Hasan DemirtaşKırıkkale Provincial Health Directorate, Kırıkkale, Turkey.
Meral SaygunPublic Health Department, Faculty of Medicine, Kırıkkale University, Kırıkkale, Turkey.
Nuray Bayar MulukENT Department, Faculty of Medicine, Kırıkkale University, Kırıkkale, Turkey. nuray.bayar@yahoo.com.ORCID http://orcid.org/0000-0003-3602-9289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe assessed the hearing level, sleep quality, depression status, and life quality of the employees.

methodsThe research group contains 380 (56.7%) of 669 employees working in the factory. We used a questionnaire, noise measurement (2016), pure tone audiometry test results of (2015, 2016). SF-12 (short form), mini sleep questionnaire (MSQ), and Beck depression scale.

resultsThe employees' mean working period is 13.5 ± 11.9 years. The mean ambient noise level of the factory is 75.5 ± 7.3 dB. We detected hearing loss at 18.6% and 23.2% in 2015 and 2016, respectively. The frequency of hearing loss is 4.7% at the employees working below 85 dB and 27.8% percent at the employees working above 85 dB. Mean working period of the employees with hearing loss (19.7 ± 11.7 years) is higher than mean working period of the employees without hearing loss(13.2 ± 11.8 years) (p < .0.05). The 27.8% of the employees working above 85 dB are used to earmuffs, 44.4% of them sometimes use earmuffs; 38.9% of them are used to earplug; and 44.4% of them sometimes use earplug. Back depression scales showed 31.1% minimal, moderate, or severe depression. The sleep quality of employees working above 85 dB is worse than the others (p < 0.05). SF-12 QoL scores were 39.41 ± 5.59 (physical health) and 36.10 ± 7.76 (mental health). There was not a statistically significant association between scale scores and ambient noise level and hearing level of the workers (p > 0.05).

conclusionWe suggest the use of personal protective equipment. Working in the noise above 85 dB affected workers' sleep quality to be poorer.

Indexed as

Hearing Loss, Noise-InducedNoise, OccupationalOccupational DiseasesHearingHumansQuality of LifeSleep QualityBeck depression scaleEarplugNoise-induced hearing lossPure tone audiometry testQuality of life scale

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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.