文献类型：期刊文献

英文题名：Predicting hearing loss in noise-exposed petrochemical workers: Influencing factors and a nomogram model

作者：Ma, T.[1];Wu, J.[2];Dong, Z.[3];He, L.[1];Jiang, X.[4];Chen, X.[2,6];Bao, S.[1];Fan, J.[1,5,7]

第一作者：Ma, T.

通信作者：Chen, X[1];Fan, J[2]

机构：[1]Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou, Peoples R China;[2]Lanzhou Petrochem Gen Hosp, Ctr Hlth Management, Lanzhou, Peoples R China;[3]Lanzhou Petrochem Gen Hosp, Dept Qual Management, Lanzhou, Peoples R China;[4]Lanzhou Petrochem Gen Hosp, Dept Psychosomat & Sleep Med, Lanzhou, Peoples R China;[5]Gansu Univ Chinese Med, Ctr Evidence based Med, Lanzhou, Peoples R China;[6]733 Fuli West Rd, Lanzhou, Gansu, Peoples R China;[7]35 East Dingxi Rd, Lanzhou, Gansu, Peoples R China

第一机构：甘肃中医药大学公共卫生学院

通信机构：[1]corresponding author), 733 Fuli West Rd, Lanzhou, Gansu, Peoples R China;[2]corresponding author), 35 East Dingxi Rd, Lanzhou, Gansu, Peoples R China.

年份：2026

卷号：11

外文期刊名：PUBLIC HEALTH IN PRACTICE

收录：Scopus(收录号：2-s2.0-105039236355);WOS:【ESCI(收录号:WOS:001778197700001)】；

基金：This work was supported by the Key Research and Development Program of Gansu Provincial Department of Science and Technology (Grant No 25YFFA044) ; the Gansu Provincial Department of Education's Project for Young Doctoral Teachers in Higher Education Institutions (Grant No 2025QB-064) ; the Open Project of Key Laboratory of Dun-huang Medicine, Ministry of Education (Grant No DHYX24-17) ; and the Key Talent Project of Health in Gansu Province (2026) (Grant No 2026SWJWRC008) .

语种：英文

外文关键词：Hearing loss; Petrochemical workers; Influencing factors; Nomogram; Prediction

摘要：Objective: The study aimed to develop a predictive nomogram capable of estimating individual risk within noiseexposed petrochemical workers. Study design: A total of 1700 of noise-exposed petrochemical workers from a certain hospital in Lanzhou between March 1 to July 8, 2024, was surveyed for an occupational exposure and pure tone hearing tests. Methods: The collected data were randomly divided into a training set (70%) and a testing set (30%). Logistic regression analyses were conducted on the training set to identify the influencing factors of hearing loss, and a nomogram was created to predict the risk of hearing loss. Results: The prevalence of hearing loss among noise-exposed petrochemical workers was 21.71%. Independent influencing factors included male sex (OR = 2.552, 95% CI: 1.444-4.510), increasing age (OR = 1.067, 95% CI: 1.040-1.095), earphone use (OR = 0.652, 95% CI: 0.457-0.932), tinnitus (OR = 2.152, 95% CI: 1.596-2.902), and a family history of hearing loss (OR = 1.420, 95% CI: 1.007-2.003). The AUC area of the nomogram in the training set was 0.743 (95% CI: 0.710-0.776). Conclusions: Male sex, older age, tinnitus, and a family history of hearing loss were associated with an increased risk of hearing loss, whereas earphone use appeared to be a protective factor in this population. The developed nomogram demonstrated good predictive accuracy and may serve as a practical tool for assessing the risk of hearing loss among noise-exposed petrochemical workers.