李艳华, 江平山, 周浩, 黄丽丽, 谢春姣, 刘移民. 基于倾向性评分法对比噪声作业人员的听力损失[J]. 职业卫生与应急救援, 2021, 39(4): 425-428. DOI: 10.16369/j.oher.issn.1007-1326.2021.04.013
引用本文: 李艳华, 江平山, 周浩, 黄丽丽, 谢春姣, 刘移民. 基于倾向性评分法对比噪声作业人员的听力损失[J]. 职业卫生与应急救援, 2021, 39(4): 425-428. DOI: 10.16369/j.oher.issn.1007-1326.2021.04.013
LI Yanhua, JIANG Pingshan, ZHOU hao, HUANG Lili, XIE Chunjiao, LIU Yimin. Comparison of hearing loss of noise exposed workers based on propensity score matching[J]. Occupational Health and Emergency Rescue, 2021, 39(4): 425-428. DOI: 10.16369/j.oher.issn.1007-1326.2021.04.013
Citation: LI Yanhua, JIANG Pingshan, ZHOU hao, HUANG Lili, XIE Chunjiao, LIU Yimin. Comparison of hearing loss of noise exposed workers based on propensity score matching[J]. Occupational Health and Emergency Rescue, 2021, 39(4): 425-428. DOI: 10.16369/j.oher.issn.1007-1326.2021.04.013

基于倾向性评分法对比噪声作业人员的听力损失

Comparison of hearing loss of noise exposed workers based on propensity score matching

  • 摘要:
      目的  探讨如何有效利用职业健康检查数据,控制混杂因素,分析接触噪声作业人员的听力损失情况。
      方法  收集某大型汽车制造企业2017年职业健康体检员工的体检资料,采用倾向性评分法对噪声组(n=1 279)及行政组人员(n=720)进行1∶1最邻近匹配,对匹配前后两组人员的听力异常情况进行比较。
      结果  噪声检测结果显示,噪声组作业工人接触噪声水平为(82.94 ±9.27)dB(A)。行政组720人全部完成匹配;噪声组1 279人匹配成功720人,未匹配559人。匹配前两组工龄差异有统计学意义(P < 0.01),经倾向性评分匹配后,两组人员基本信息差异均无统计学意义(P > 0.1)。匹配前,噪声组与行政组人员听力异常率在右耳2 000 Hz、3 000 Hz、4 000 Hz、6 000 Hz,以及左耳2 000 Hz、3 000 Hz、4 000 Hz、6 000 Hz频率上的差异均有统计学意义(P < 0.05);匹配后,两组人员听力异常率在左耳2 000 Hz频率上的差异不再有统计学意义(P > 0.05)。
      结论  在职业健康检查数据分析过程中,可应用倾向性评分法对躁声组和对照组的基线资料进行匹配,减少混杂因素的影响,正确评估职业接触对健康的影响。

     

    Abstract:
      Objective  To explore how to effectively use the data of occupational health examination, control the confounding factors, and analyze the hearing loss of workers exposed to noise.
      Methods  The occupational health examination data of employees in a large automobile manufacturing enterprise in 2017 were collected. The noise-exposed group (n=1 279) and the administrative group(n=720) were matched with 1:1 nearest neighbor by propensity score method. The hearing abnormalities of the two groups before and after matching were compared.
      Results  The noise exposure level of the noise group was(82.94±9.27)dB(A). All 720 people in the administrative group completed the matching; Among 1 279 people in the noise-exposed group, 720 people were matched successfully and 559 people were not matched. There was significant difference in the employment time between the two groups before matching(P < 0.01), and there was no significant difference of basic information between the two groups after the propensity score matching(P > 0.1). Before matching, there were statistically significant differences between noise-exposed group and administrative group in hearing abnormality rate of right ear at 2 000 Hz, 3 000 Hz, 4 000 Hz, 6 000 Hz, and left ear at 2 000 Hz, 3 000 Hz, 4 000 Hz, 6 000 Hz (P < 0.05). After matching, there was no statistically significant difference in the hearing abnormality rate between the two groups at 2 000 Hz(P > 0.05).
      Conclusions  In the analysis of occupational health examination data, propensity score method can be used to match some basic data of the exposure group and the control group, so as to reduce bias and correctly assess adverse effect of exposure to occupational hazards.

     

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