Evidence map›Paper›PMID 33606165›Full record

ArticleEnvironmental science and pollution research international2021

Prevalence of hearing loss and influencing factors among workers in Wuhan, China.

Wenzhen Li, Zhiya Zhao, Zhenlong Chen, Guilin Yi, Zuxun Lu, Dongming Wang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Effect of Pycnogenol® on Noise-Induced Hearing Loss in Rats.The journal of international advanced otology · 2025
    Article
  5. Article
  6. Article
  7. Review
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

6 authors at 2 institutions in 1 country.

Wenzhen LiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhiya ZhaoDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhenlong ChenWuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China.
Guilin YiWuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China.
Zuxun LuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dongming WangDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. wangdm@hust.edu.cn.
Huazhong University of Science and Technology · CNWuhan Prevention and Treatment Center for Occupational Diseases · CN

Funding

Fundamental Research Funds for the Central Universities 2019kfyXJJS032Young Scientists Fund 81903291
6 · The paper itself

Abstract

We aimed to estimate the prevalence of hearing loss and influencing factors among workers in automobile manufacturing industry in Wuhan, China. We conducted cross-sectional analyses of 2017 through 2019 data from survey of the key occupational diseases on 17,176 workers in automobile manufacturing industry, Wuhan, China. Hearing loss was defined as a pure tone mean of 25 dB or higher in either ear at 0.5, 1, and 2 kHz for speech frequency and at 3, 4, and 6 kHz for high frequency. Among the 17,176 workers, more than a quarter of participants had high frequency hearing loss, and 6.41% had speech frequency hearing loss. The prevalence of hearing loss was higher among participants with diabetes mellitus and current smoking, temporary tinnitus, and sudden change in hearing. Compared with the controls, age (OR = 1.08, 95% CI = 1.08-1.09), male (OR = 1.40, 95% CI = 1.21-1.63), occupational noise exposure (OR = 1.19, 95% CI = 1.08-1.30), having temporary tinnitus (OR = 1.20, 95% CI = 1.08-1.33), and having sudden change in hearing (OR = 1.58, 95% CI = 1.20-2.08) were associated with higher prevalence of high frequency hearing loss; meanwhile, age (OR = 1.09, 95% CI = 1.08-1.09), male (OR = 1.38, 95% CI = 1.11-1.71), having family history of hearing loss (OR = 2.84, 95% CI = 1.35-5.97), and having sudden change in hearing (OR = 2.58, 95% CI = 1.80-3.70) were associated with higher prevalence of speech frequency hearing loss. No additive and multiplicative interaction was found between occupational noise and these factors for hearing loss. Hearing loss directly affects 25% of workers in automobile manufacturing industry in Wuhan. Measures should be implemented for the control of occupational noise and other factors simultaneously in the workplace.

Indexed as

Hearing Loss, Noise-InducedNoise, OccupationalOccupational DiseasesOccupational ExposureChinaCross-Sectional StudiesHumansMalePrevalenceHearing lossOccupational noiseRisk factorSmoking

Identifiers

PMID33606165
OpenAlexW3132903275

What OpenQuestion holds

Textmetadata
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.