龚雅君, 胡佩霞, 张王剑, 农骐郢, 黄永顺. 铅暴露工人心律失常及其危险因素研究[J]. 职业卫生与应急救援, 2025, 43(3): 310-315,394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240770
引用本文: 龚雅君, 胡佩霞, 张王剑, 农骐郢, 黄永顺. 铅暴露工人心律失常及其危险因素研究[J]. 职业卫生与应急救援, 2025, 43(3): 310-315,394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240770
GONG Yajun, HU Peixia, ZHANG Wangjian, NONG Qiying, HUANG Yongshun. Study on arrhythmia and its risk factors of lead-exposed workers[J]. Occupational Health and Emergency Rescue, 2025, 43(3): 310-315,394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240770
Citation: GONG Yajun, HU Peixia, ZHANG Wangjian, NONG Qiying, HUANG Yongshun. Study on arrhythmia and its risk factors of lead-exposed workers[J]. Occupational Health and Emergency Rescue, 2025, 43(3): 310-315,394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240770

铅暴露工人心律失常及其危险因素研究

Study on arrhythmia and its risk factors of lead-exposed workers

  • 摘要:
    目的 评估职业铅暴露与其他职业因素的交互作用对工人心律失常的影响,识别潜在的危险因素,保护铅暴露工人的职业健康。
    方法 以广东省2021年重点职业病监测中2 943名职业铅暴露工人为研究对象,采集其人口学特征和体检数据,进行横断面研究。采用混合效应logistic回归模型评估铅暴露对心律失常的影响,进一步进行交互作用分析和亚组分析,探索潜在的易感人群。
    结果 研究对象血铅水平范围为(14.14 ~ 582.23)μg/L,血铅水平异常915人(占30.09%),患有心律失常392人,患病率为13.32%。男性、小型企业、私营经济企业、制造业企业的工人,年龄> 37岁、工龄> 36个月、接触粉尘、接触噪声以及有心律失常的工人人数在血铅水平异常组的占比更高,差异均有统计学意义(P<0.05)。混合效应logistic回归分析结果显示:控制其他混杂因素后,血铅水平每升高1个四分位数间距(IQR),工人患心律失常的风险增加40.6%(OR = 1.406,P<0.001)。亚组分析结果显示:血铅水平每升高1个IQR,无粉尘暴露工人心律失常的风险增加43.9%(OR = 1.439,P<0.001);无硫酸及三氧化硫暴露的工人患心律失常的风险增加46.2%(OR = 1.462,P<0.001),非噪声暴露的工人患心律失常的风险增加37.5%(OR = 1.375,P<0.001)。在私营企业工作的工人中,血铅水平每升高1个IQR,心律失常患病风险增加41.3%(OR = 1.413,P<0.001);在外商投资企业工作的工人中,血铅水平每升高1个IQR,心律失常患病风险增加82.8%(OR = 1.828,P<0.001)。
    结论 血铅水平与工人心律失常患病风险之间存在正向关联,且这种关联受经济类型及其他职业病危害因素影响。

     

    Abstract:
    Objective To evaluate the effect of the interaction of occupational lead exposure with other occupational factors on arrhythmia in workers, identify potential risk factors, and protect the occupational health of lead-exposed workers.
    Methods A cross-sectional study was conducted with 2 943 occupationally lead-exposed workers from the program of key occupational disease surveillance in Guangdong Province in 2021. Demographic characteristics and physical examination data were collected. A mixed-effects logistic regression model was used to evaluate the effect of lead exposure on arrhythmia. Further interaction analysis and subgroup analysis were conducted to explore potential susceptible populations.
    Results The blood lead levels of these study subjects ranged from 14.14 to 582.23 μg/L. There were 915 individuals (30.09%) with abnormal blood lead levels. A total of 392 individuals had arrhythmia, with a prevalence of 13.32%. Males, workers in small-sized enterprises, private enterprises, and manufacturing industries; those aged > 37 years, with working time > 36 months, exposed to dust, exposed to noise, and with a history of arrhythmia accounted for a higher proportion of workers in the group with abnormal blood lead levels, and the differences were all statistically significant (all P < 0.05). Mixed effects logistic regression analysis showed that the risk of arrhythmia increased by 40.6% in workers for every one interquartile range (IQR) increase in blood lead level (OR = 1.406, P < 0.001) after controlling for other confounding factors. Subgroup analysis revealed that for every one IQR increase in blood lead level, the risk of arrhythmia increased by 43.9% (OR = 1.439, P < 0.001) in workers without dust exposure; the risk of arrhythmia increased by 46.2% (OR = 1.462, P < 0.001) in workers without sulfuric acid and sulfur trioxide exposure; and the risk of arrhythmia increased by 37.5% (OR = 1.375, P < 0.001) in workers without noise exposure. Among workers in private enterprises, the prevalence risk of arrhythmia increased by 41.3% (OR = 1.413, P < 0.001) for every one IQR increase in blood lead level. Among workers in foreign-invested enterprises, the prevalence risk of arrhythmia increased by 82.8% (OR = 1.828, P < 0.001) for every one IQR increase in blood lead level.
    Conclusions There was a significant positive association between blood lead level and the risk of arrhythmia among lead-exposed workers, and this association was influenced by economic type and other occupational hazard factors.

     

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