RESUMO
@#Objective （ ） To explore the feasibility of using generalized estimating equation GEE to analyze the influencing - （ ） factors of high frequency hearing loss HFHL among noise exposed workers in an air conditioner manufacturing enterprise. Methods - The noise exposed workers in an air conditioner manufacturing industry who had been tested for pure tone hearing threshold twice or more from 2015 to 2019 were selected as the research subjects using the judgment sampling method. Data ， ， ， ， ， （ ） such as age length of service gender smoking alcohol consumption body mass index BMI and HFHL were collected. The Results influencing factors of HFHL were analyzed using the GEE. The detection rates of HFHL from 2015 to 2019 were ， ， ， ， ， 22.2% 23.8% 24.2% 24.1% and 20.9% respectively. Among them the detection rate of HFHL in 2019 was lower than that （ P ） ， ， in 2017 and 2018 all <0.001 . The GEE analysis results showed that the risks of HFHL in 2015 2016 2017 and 2018 were （ P ）， higher than that in 2019 all <0.01 regardless of interaction effects and after adjusting for confounding factors such as ， ［OR（ CI）］ （ - duration of noise exposure smoking and BMI. The odds ratios and 95% confidence intervals 95% were 1.19 1.07 ）， （ - ）， （ - ） （ - ）， 1.33 1.26 1.13 1.39 1.30 1.18 1.43 and 1.27 1.15 1.39 respectively. The risk of HFHL was higher in males than in （P ）， OR（ CI） （ - ） ， （P ）， OR females <0.01 and 95% was 3.78 3.00 4.77 . The older the age the higher the risk of HFHL <0.01 and （ CI） （ - ） Conclusion - 95% was 1.07 1.05 1.09 . The influencing factors of HFHL among noise exposed workers in the air conditioner industry are age and gender. GEE can be used to analyze the factors influencing the longitudinal data of HFHL in workers with noise exposure.