侯宇辰, 王博深, 尹立红, 浦跃朴, 张红兵, 张娟. 职业性噪声和粉尘暴露对作业工人空腹血糖的影响[J]. 环境与职业医学, 2023, 40(12): 1411-1418. DOI: 10.11836/JEOM23111
引用本文: 侯宇辰, 王博深, 尹立红, 浦跃朴, 张红兵, 张娟. 职业性噪声和粉尘暴露对作业工人空腹血糖的影响[J]. 环境与职业医学, 2023, 40(12): 1411-1418. DOI: 10.11836/JEOM23111
HOU Yuchen, WANG Boshen, YIN Lihong, PU Yuepu, ZHANG Hongbing, ZHANG Juan. Funding: This study was funded. Effects of occupational noise and dust exposure on fasting plasma glucose in workers[J]. Journal of Environmental and Occupational Medicine, 2023, 40(12): 1411-1418. DOI: 10.11836/JEOM23111
Citation: HOU Yuchen, WANG Boshen, YIN Lihong, PU Yuepu, ZHANG Hongbing, ZHANG Juan. Funding: This study was funded. Effects of occupational noise and dust exposure on fasting plasma glucose in workers[J]. Journal of Environmental and Occupational Medicine, 2023, 40(12): 1411-1418. DOI: 10.11836/JEOM23111

职业性噪声和粉尘暴露对作业工人空腹血糖的影响

Funding: This study was funded. Effects of occupational noise and dust exposure on fasting plasma glucose in workers

  • 摘要: 背景

    噪声和粉尘是存在最广泛的职业病危害因素。动物实验研究表明二者可能通过引起糖代谢紊乱和损害胰岛细胞功能导致空腹血糖受损(IFG),进一步发展则会造成糖尿病。

    目的

    探讨职业性噪声和生产性粉尘暴露对劳动者空腹血糖(FPG)受损和糖尿病患病风险的影响及两者联合作用,为职业人群防控糖尿病提供科学依据。

    方法

    从2020年江苏省某职业健康检查机构的职业健康检查个案资料中,收集整理噪声作业、生产性粉尘作业以及对照组共6836名劳动者职业健康监护资料,采用χ2检验、多因素logistic回归分析、相加模型分析相加交互作用等方法,对职业性噪声和生产性粉尘暴露与IFG和糖尿病的关系进行统计分析。

    结果

    6836名劳动者的年龄为(44.1±9.6)岁。其中,对照组568人,单纯接触噪声组1961人,单纯接触粉尘组1048人,同时暴露组3259人。该研究人群IFG患病率为9.61%,糖尿病患病率为7.36%。多因素logistic回归分析结果显示,仅噪声暴露、仅粉尘暴露和二者同时暴露的劳动者患IFG的优势比(OR)及其95%可信区间分别为1.55(1.01~2.37)、1.67(1.06~2.64)和2.60(1.74~3.89),仅噪声暴露、仅粉尘暴露和二者同时暴露的劳动者患糖尿病的OR及其95%可信区间分别为1.76(1.04~3.00)、1.92(1.12~3.30)和2.80(1.71~4.60)。交互作用分析结果显示,噪声和粉尘暴露对IFG(OR=0.94,95%CI:0.58~1.51)和糖尿病(OR=0.75,95%CI:0.42~1.33)无相乘交互作用。噪声和粉尘暴露对IFG的超额相对危险度(RERI)、归因比(AP)和交互作用指数(S)分别为0.30(95%CI:−0.31~0.92)、0.11%(95%CI:−0.13%~0.35%)和1.21(95%CI:0.74~1.99);噪声和粉尘暴露对糖尿病的RERI、AP和S分别为-0.02(95%CI:−0.91~0.87)、0.01%(95%CI:−0.29%~0.28%)和0.99(95%CI:0.66~1.50),不存在相加交互作用。

    结论

    职业性噪声和生产性粉尘暴露是影响IFG和糖尿病的危险因素,两者存在联合作用但不存在交互作用。应针对职业性噪声和生产性粉尘暴露劳动者开展健康监测定期筛查,以降低职业人群的IFG和糖尿病患病率。

     

    Abstract: Background

    Noise and dust are the most widespread occupational hazards. Animal studies have shown that they may cause impaired fasting glucose (IFG) by disturbing glucose metabolism and impairing the function of pancreatic islet cells, which can lead to further development of diabetes.

    Objective

    To investigate the effects of occupational noise or industrial dust exposure on the risk of impaired fasting plasma glucose (FPG) or diabetes mellitus in workers and potential combined effect of the two variables, and to provide a scientific basis for the prevention and control of diabetes mellitus in occupational groups.

    Methods

    Data on occupational health surveillance of a total of 6836 workers in noise exposure group, productive dust exposure group, and control group were collected and collated from the occupational health examination case data of an occupational health examination institution in Jiangsu Province in 2020. χ2 test, logistic regression analysis, and additive interaction model were used to analyze the relationships between occupational noise and/or productive dust exposure and IFG and diabetes.

    Results

    The mean age of the 6836 workers was (44.1±9.6) years. Among them, 568 were assigned in the control group, 1961 in the noise-only exposure group, 1048 in the dust-only exposure group, and 3259 in the simultaneous exposure group. The prevalence of IFG in this study population was 9.61%, and the prevalence of diabetes was 7.36%. The results of logistic regression showed that the odds ratios (OR) of IFG and their 95% confidence intervals (CI) for IFG were 1.55 (1.01, 2.37), 1.67 (1.06, 2.64), and 2.60 (1.4, 3.89) in workers with noise exposure only, dust exposure only, and both exposures, respectively. The OR (95%CI) values for diabetes in workers exposed to noise only, dust only, and both were 1.76 (1.04, 3.00), 1.92 (1.12, 3.30), and 2.80 (1.71, 4.60), respectively. The results of interaction analysis showed no multiplicative interaction between noise and dust exposure on IFG (OR=0.94, 95%CI: 0.58, 1.51) or diabetes (OR=0.75, 95%CI: 0.42, 1.33). The relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (S) for noise and dust exposure on IFG were 0.30 (95%CI: −0.31, 0.92), 0.11% (95%CI: −0.13%, 0.35%), and 1.21 (95%CI: 0.74, 1.99), respectively. The three indicators for noise and dust exposure on diabetes were -0.02 (95%CI: −0.91, 0.87), 0.01% (95%CI: −0.29%, 0.28%), and 0.99 (95%CI: 0.66, 1.50), respectively, suggesting no additive interaction.

    Conclusion

    Occupational noise and industrial dust exposure are risk factors for IFG and diabetes mellitus, and a combined effect of concurrent exposure to these two factors is identified but not an interactive effect. Health monitoring and regular screening should be targeted at workers exposed to occupational noise and industrial dust to reduce the prevalence of IFG and diabetes mellitus in occupational population.

     

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