Evidence map›Paper›PMID 40365430›Full record

ArticleFrontiers in public health2025

Surveillance of noise exposure levels in workplaces in Beijing.

Yan Dong, Yuqian Li, Yan Liu, Yan Zhao, Heng Zhang, Yun Sun, Zizi Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yan DongInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Yuqian LiInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Yan LiuInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Yan ZhaoInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Heng ZhangInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Yun SunInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Zizi LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational noise-induced deafness is the second most prevalent occupational disease in China after pneumoconiosis. This study aims to estimate overall noise exposure levels and trends in industrial enterprises in Beijing. A total of 286 enterprises were monitored, and the median and interquartile range (IQR) of noise exposure levels were calculated. The distribution of noise exposure level was analyzed, revealing that 116 enterprises exceeded permissible noise limits. In terms of industry, noise exceedance was observed in 28 enterprises engaged in metal product manufacturing (24.13%) and 27 enterprises in motor vehicle manufacturing (23.28%). Regarding ownership type, 71 limited liability companies exhibited noise exceedance, making up 61.20% of the total. Multivariate logistic regression identified industry-specific risk factors associated with noise exceedance. The risk was significantly higher in metal product manufacturing (OR = 3.31, 95% CI: 1.61-6.82) and railway, shipping, aerospace, and other transportation equipment manufacturing (OR = 12.18, 95% CI: 1.40-105.63). Conversely, enterprises engaged in printing and recorded media reproduction exhibited a lower risk (OR = 0.29, 95% CI: 0.13-0.67). The noise exceedance rate in Beijing is lower than the national average, and levels in line closely with nationwide standards. Detailed surveillance of noise exposure levels provides a basis for occupational health authorities to conduct targeted supervision and formulate industry-specific control measures for high-risk sectors and job roles.

Indexed as

Noise, OccupationalOccupational ExposureWorkplaceBeijingEnvironmental MonitoringHearing Loss, Noise-InducedHumansIndustryRisk FactorsBeijingoccupational noise exposurerisk factorssurveillanceworkplace

Identifiers

PMID40365430
PMCPMC12071908

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.