Evidence map›Paper›PMID 38909326›Full record

ArticleJournal of endocrinological investigation2025

Association of noise exposure with lipid metabolism among Chinese adults: mediation role of obesity indices.

Z Chen, H Zhang, X Huang, Y Tao, Z Chen, X Sun, M Zhang, L A Tse, S Weng, W Chen and 2 more

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In one paragraph

Article in Journal of endocrinological investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Z ChenDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
H ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
X HuangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Y TaoDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Z ChenWuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China.
X SunNational Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
M ZhangNational Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
L A TseJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
S WengShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, 518020, Guangdong, China.
W ChenDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
W Li *Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
D Wang *Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. wangdm@hust.edu.cn.ORCID http://orcid.org/0000-0002-9297-8369

Funding

Chinese University of Hong Kong Ref.: SMH/NL/JF/RAP2122/0752/22enChinese University of Hong Kong Ref.: TL/SSFCRS2223/0953/23wwFundamental Research Funds for the Central Universities 2021XXJS017Fundamental Research Funds for the Central Universities 2022gwzz02Health Commission of Hubei Province WJ2023M002Key Technologies Research and Development Program 2022YFC2503200Key Technologies Research and Development Program 2022YFC2503203National Natural Science Foundation of China 81903291Science and Technology Planning Project of Shenzen Municipality JCYJ20220531091211026
6 · The paper itself

Abstract

purposeNoise exposure in the workplace has been linked to a number of health consequences. Our objectives were to explore the relationship between occupational noise and lipid metabolism and evaluate the possible mediating effect of obesity indices in those relationships with a cross-sectional study design.

methodsCumulative noise exposure (CNE) was used to measure the level of noise exposure. Logistic regression models or generalized linear models were employed to evaluate the association of occupational noise and obesity with lipid metabolism markers. Cross-lagged analysis was conducted to explore temporal associations of obesity with lipid metabolism.

resultsA total of 854 participants were included, with each one-unit increase in CNE, the values of total cholesterol/high-density lipoprotein cholesterol and low-density lipoprotein cholesterol/high-density lipoprotein cholesterol increased by 0.013 (95% confidence interval: 0.006, 0.020) and 0.009 (0.004, 0.014), as well as the prevalence of dyslipidemia increased by 1.030 (1.013, 1.048). Occupational noise and lipid metabolism markers were all positively associated with body mass index (BMI), waist circumference (WC), a Body Shape Index (ABSI) and a Body Shape Index and Body Roundness Index (BRI) (all P < 0.05). Moreover, BMI, WC, ABSI and BRI could mediate the associations of occupational noise with lipid metabolism; the proportions ranged from 21.51 to 24.45%, 23.84 to 30.14%, 4.86 to 5.94% and 25.59 to 28.23%, respectively (all P < 0.05).

conclusionsOur study demonstrates a positive association between occupational noise and abnormal lipid metabolism, and obesity may partly mediate the association. Our findings reinforce the need to take practical steps to reduce or even eliminate the health risks associated with occupational noise.

Indexed as

DyslipidemiasLipid MetabolismNoise, OccupationalObesityOccupational ExposureAdultBiomarkersBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedWaist CircumferenceBiomarkersDyslipidemiaNoise exposureNon-traditional lipid indicatorsObesity indices

Identifiers

PMID38909326

What Socratic holds

Textmetadata
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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 Socratic graph.