JI Fang, DING Xiao-wen, DONG Hua-huang, LIU Ji-wen, LI Jue. Association between occupational noise-induced hearing loss and metabolic syndrome[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1194-1199. DOI: 10.13213/j.cnki.jeom.2020.20374
Citation: JI Fang, DING Xiao-wen, DONG Hua-huang, LIU Ji-wen, LI Jue. Association between occupational noise-induced hearing loss and metabolic syndrome[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1194-1199. DOI: 10.13213/j.cnki.jeom.2020.20374

Association between occupational noise-induced hearing loss and metabolic syndrome

  • Background Occupational noise-induced hearing loss (ONHL) is a complex disease that affects the health of numerous workers, and metabolic syndrome (MetS) has become a major contributor to global disease burden. It is of great significance to study the relationship between ONHL and MetS.
    Objective This study investigates the association between ONHL and MetS, aiming to provide a scientific basis for formulating intervention measures and control strategies against ONHL and MetS in noise-exposed workers.
    Methods A total of 1 145 male workers in a large-scale mechanical maintenance enterprise were selected as study subjects by cluster sampling method, and were divided into a control group (n=699) and a case group (n=446) according to whether they were diagnosed with high frequency hearing loss. Data on general demographic characteristics, occupational history, family history, medical history, and life styles were collected through questionnaire survey, data on body mass index (BMI), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), blood pressure, and fasting blood glucose (FPG) were obtained through routine occupational health examination. The association between ONHL and MetS was assessed by non-conditional multiple logistic regression models, and the results were expressed as OR with 95% CI.
    Results Among the 1 145 workers exposed to noise, the positive rate of hearing loss was 38.95%, and increased with longer years of noise exposure (P < 0.001). The FPG level in the case group was higher than that in the control group (P < 0.001). The positive rates of hypertriglyceridemia, hypertension, hyperglycemia, and MetS in the case group were higher than those in the control group (P < 0.01). The multiple logistic regression analysis results showed that MetS was an independent risk factor for ONHL (OR=1.48, 95%CI:1.12-1.95, P=0.005) after adjusting for selected confounding factors; in addition, longer years of noise exposure, married, and lower educational level were also the risk factors for ONHL (P < 0.01).
    Conclusion ONHL is associated with MetS. MetS may be an independent risk factor for the development of ONHL. Preventive interventions for MetS may be effective in reducing a partial risk of ONHL.
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