The Influencing Factors And Individual Model Prediction Of Hearing Loss In Noise Exposed Workers In A Petrochemical Enterprise

Objective1.Analyze the influencing factors of noise-induced hearing loss in noise-exposed people,and provide a theoretical basis for hearing protection in occupational populations.2.Establish a prediction model of hearing loss in noise exposed workers,which can provide a prediction tool for the occurrence of hearing loss in noise workers.Methods1.Analysis of influencing factors of noise-induced hearing loss: This study adopts the research method of cross-sectional survey.From March 1,2022 to July 8,2022,a one-on-one questionnaire survey was conducted at the Health Examination Center of Gansu Gem Flower Hospital for noise exposure workers of a petrochemical company in Lanzhou who came for hearing tests,all respondents participate in the questionnaire survey through We Chat mini program after obtaining informed consent,after the survey is completed,the survey results are exported with Excel,combined with the on-site electrical audiometry results,and the data are statistically analyzed by SPSS26.0.2.Individual prediction model of hearing loss in noise exposure workers-nomogram: R software is used to randomly divide the survey data into training set and verification set according to the 3:1 model,and the R software "rms" software package is used to construct a nomogram,and the constructed model is evaluated by drawing the subject’s working characteristic curve(ROC),calibration curve,and risk decision curve(DCA).The validation set is validated.Results1.Analysis of influencing factors of noise-induced hearing loss: In this study,a total of1763 questionnaires were surveyed,of which 1700 were effective,and the effective rate was96.43%.Among them,1384 were males,accounting for 81.41%,and 316 were females,accounting for 18.59%,with an average age of 44.35±8.37 years.The incidence of hearing loss was 24.93% in men and 7.59% in women.Univariate analysis found that gender,age,education level,marital status,monthly income,smoking,alcohol consumption,physical exercise,tinnitus,history of intense noise exposure,family history of hearing loss,hypertension,diabetes,length of service with noise,hearing protection measures,fasting blood glucose,and cholesterol were statistically significant between the hearing loss group and the hearing normal group(P<0.05),and multivariate binary logistic regression analysis found that women(OR=0.345,95% CI: 0.203-0.585).)is a protective factor for noise-induced hearing loss,age ≥ 51 years(OR=4.560,95% CI: 1.863-11.161)is a risk factor for noise-induced hearing loss,education level junior high school and below(OR=1.935,95%CI: 1.115-3.358),high school(OR=1.777,95% CI: 1.130-2.793),college(OR=1.595,95% CI:1.038-2.451)Unmarried and other OR=0.609,95% CI: 0.382-0.970 are protective factors for noise-induced hearing loss,monthly income < 6000 yuan(OR=1.354,95% CI: 1.007-1.819)is a risk factor for noise-induced hearing loss,tinnitus(OR=1.919,95% CI: 1.529-2.563)is a risk factor for noise-induced hearing loss,and family history of hearing loss(OR= 1.394,95%CI: 1.031-1.884)was a risk factor for noise-induced hearing loss,and occasional wearing of hearing protection(OR=0.640,95% CI: 0.478-0.857)was a protective factor for noise-induced hearing loss.2.Individual prediction model of hearing loss in noise exposure workers-nomogram:binary logistic regression showed that male(OR=2.776,95% CI: 1.502-5.131),age 41-50years(OR = 3.134,95% CI: 1.031-9.531),age ≥ 51 years(OR = 6.315,95% CI:2.007-19.871),≤ junior high school(OR=1.924,95% CI: 1.012-3.658),high school(OR=1.766,95% CI: 1.035 to 3.013),college(OR = 1.667,95% CI = 1.002 to 2.774),tinnitus(OR= 1.766,95% CI: 1.306 to 2.388),family history of hearing loss(OR = 1.728,95% CI: 1.220 to 2.447)were independent predictors of NIHL.The AUC of the ROC curve in the training set is 0.747(95% CI: 0.715-0.780),and the AUC of the ROC curve in the validation set is(AUC = 0.714,95% CI: 0.657 – 0.772),indicating that the model has good predictive power。Conclusions1.Analysis of influencing factors of noise-induced hearing loss: Through this study,it is found that enterprises should focus on strengthening the hearing protection of male workers aged > 51,improve the health management system of enterprise units,regularly carry out publicity and education on workers’ hearing protection,and strengthen the wearing of workers’ hearing protection measures.Carry out regular physical examinations for workers,and promptly transfer workers with hearing abnormalities to work and adjust the content of work.Noise workers should also strengthen their own management in their usual work,stay away from the noise operating environment,if they must be exposed to the noise environment,they should wear hearing protection measures in time,learn relevant health management knowledge,abide by the health management system of the unit,and develop good living habits.Relevant enterprise units and health departments should carry out targeted health intervention and education to protect the hearing health of noise exposed workers,which requires the joint efforts of workers,enterprises and health departments.2.Individual prediction model of hearing loss in noise exposure workers-nomogram: In this study,we found that males,increasing age,lower education,tinnitus,family history of hearing loss are predictors of NIHL,based on the risk model,we established the NIHL prediction nomogram,by verifying that the model has a certain predictive value for NIHL,we hope that the model can provide a reference for the formulation of occupational hearing protection related policies and reduce the occurrence of hearing loss in noise exposure workers.