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

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Abstract

Purpose

Noise 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.

Methods

Cumulative 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.

Results

A 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).

Conclusions

Our 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.

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Acknowledgements

The contributions of all the participants, staffs of Wuhan Prevention and Treatment Center for Occupational Diseases, and all members of study team are greatly acknowledged.

Funding

The study was supported by National key research and development program of China (2022YFC2503200, 2022YFC2503203), Health Commission of Hubei Province scientific research project (WJ2023M002), National Natural Science Foundation of China (81903291), Fundamental Research Funds for the Central Universities (2021XXJS017), Fundamental Research Funds for School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (2022gwzz02), Research Committee—Strategic Seed Funding for Collaborative Research Scheme (2022–23) (Ref.: TL/SSFCRS2223/0953/23ww), Research Committee—Research Assistant Professorship Scheme (2021–22) (Ref.: SMH/NL/JF/RAP2122/0752/22en), the Chinese University of Hong Kong, and Science and Technology Planning Project of Shenzhen Municipality (JCYJ20220531091211026). The funder did not play any role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; nor in the preparation, review, or approval of the manuscript.

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Author notes

  1. W. Li and D. Wang contributed equally to this work.

Authors and Affiliations

  1. Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China

    Z. Chen, H. Zhang, X. Huang, Y. Tao, W. Chen & D. Wang

  2. Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China

    Z. Chen, H. Zhang, X. Huang, Y. Tao, W. Chen & D. Wang

  3. Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China

    Z. Chen

  4. National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Bei**g, 100050, China

    X. Sun & M. Zhang

  5. Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China

    L. A. Tse & W. Li

  6. Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China

    L. A. Tse & W. Li

  7. Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, 518020, Guangdong, China

    S. Weng

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Contributions

Zhaomin Chen: Conceptualization, data curation, formal analysis, methodology, writing—original draft; Haozhe Zhang, Xuezan Huang, Yueqing Tao, Zhenlong Chen, Meibian Zhang: Investigation, methodology, writing—review and editing; **n Sun, Lap Ah Tse, Weihong Chen, Shaofan Weng: Funding acquisition, methodology, writing—review and editing; Wenzhen Li, Dongming Wang: conceptualization, methodology, funding acquisition, writing-review and editing, supervision, project administration. All authors have read and approved the final version of the manuscript.

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Correspondence to D. Wang.

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The Ethics and Human Subject Committee of Tongji Medical College, Huazhong University of Science and Technology ([2019] IEC (S342)) assessed and finally approved our study.

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Informed consent was obtained from every participant.

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Chen, Z., Zhang, H., Huang, X. et al. Association of noise exposure with lipid metabolism among Chinese adults: mediation role of obesity indices. J Endocrinol Invest (2024). https://doi.org/10.1007/s40618-024-02420-4

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