ArticlePublic health in practice (Oxford, England)2026
Predicting hearing loss in noise-exposed petrochemical workers: Influencing factors and a nomogram model.
Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: The study aimed to develop a predictive nomogram capable of estimating individual risk within noise-exposed 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 ( 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.
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