张超, 郭新峰, 赵树卫. 噪声作业人员代谢综合征与听力损失的相关性分析[J]. 职业卫生与应急救援, 2024, 42(1): 53-57. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.011
引用本文: 张超, 郭新峰, 赵树卫. 噪声作业人员代谢综合征与听力损失的相关性分析[J]. 职业卫生与应急救援, 2024, 42(1): 53-57. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.011
ZHANG Chao, GUO Xinfeng, ZHAO Shuwei. Correlation between metabolic syndrome and hearing loss in noise-exposed workers[J]. Occupational Health and Emergency Rescue, 2024, 42(1): 53-57. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.011
Citation: ZHANG Chao, GUO Xinfeng, ZHAO Shuwei. Correlation between metabolic syndrome and hearing loss in noise-exposed workers[J]. Occupational Health and Emergency Rescue, 2024, 42(1): 53-57. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.011

噪声作业人员代谢综合征与听力损失的相关性分析

Correlation between metabolic syndrome and hearing loss in noise-exposed workers

  • 摘要:
    目的 探讨噪声作业人员代谢综合征(metabolic syndrome,MS)与噪声性听力损失(noise-included hearing loss,NIHL)的相关性。
    方法 采用方便抽样法,选取某汽车制造企业850名男性噪声作业人员为研究对象,采用问卷调查和职业健康检查相结合的方法,收集研究对象一般人口学资料、体检资料等各类信息,按照高频听力损失情况,将噪声作业人员分为听力损失组(326人)和听力正常组(524人),采用单因素分析比较两组人员上述资料差异情况,采用二分类多因素logistic回归模型分析噪声作业人员发生NIHL的影响因素。
    结果 该企业噪声岗位超标率为39.47%(15/38),主要集中在焊装工和涂装工岗位。听力损失检出率为38.35%(326/850),MS检出率为27.53%(234/850)。听力损失组肥胖、高水平三酰甘油、高水平空腹血糖、高血压、MS的检出率、接触的噪声声级均高于听力正常组(P < 0.05)。多因素logistic回归结果显示:相比接噪工龄≤5年组,接噪工龄11~15年、> 15年组发生NIHL的风险分别升高至1.553、1.727倍(P < 0.001);相比无MS组,MS组发生NIHL的风险升高至1.863倍(P < 0.001)。噪声声级每增加1dB(A),发生NIHL的风险升高至1.567倍(P < 0.001)。
    结论 MS与NIHL存在相关性。除了要重视控制工作环境中的噪声声级,还要注意采取低糖、低盐、低钠饮食,降低饱和脂肪酸的摄入量,加强体育锻炼等方式,有效控制作业人员的血压、血糖、血脂水平,从而减少NIHL发病风险。

     

    Abstract:
    Objective To explore the correlation between metabolic syndrome(MS) and noise-induced hearing loss(NIHL)in noise-exposed workers.
    Methods Using the convenient sampling method, a total of 850 male noise-exposed workers in an automobile manufacturing enterprise were studied. The questionnaire survey and occupational health examination were combined to collect general demographic data, physical examination data, and other information. According to the results of high-frequency hearing loss, the noise-exposed workers were divided into the hearing loss group(326 workers) and the normal hearing group(524 workers). The single-factor analysis was used to compare the above data differences between the two groups. The binary multiple-factor logistic regression model was used to analyze the influencing factors of NIHL in noise-exposed workers.
    Results The non-compliance rate of noise intensity in the enterprise was 39.47%(15/38), with the highest occurrences in the welding and painting posts. The morbidity of hearing loss was 38.35%(326/850), and the MS morbidity was 27.53%(234/850). The frequency of obesity, high-level triglyceride, high-level fasting blood glucose, hypertension, MS, and the contact noise level in the hearing loss group were higher than those in the normal hearing group(P < 0.05). The results of multiple-factor logistic regression showed that, compared with the workers with a noise exposure duration ≤ 5 years, the risk of NIHL in the workers with a noise exposure duration of 11-15 years or > 15 years increased to 1.553 and 1.727 times, respectively(P < 0.001). Compared with the workers without MS, the risk of NIHL in the workers with MS increased to 1.863 times(P < 0.001). The risk of NIHL increases by 1.567 times for each 1 dB(A)increase in noise level(P < 0.001).
    Conclusions There was a correlation between MS and NIHL. In addition to emphasizing control of noise level in the workplace, attention should also be paid to adopting a low-sugar, low-salt, and low-sodium diet, reducing the intake of saturated fatty acids, and strengthening physical exercise to effectively control the blood pressure, blood sugar, and blood lipid levels of workers so as to reduce the risk of NIHL.

     

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