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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

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

  •   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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