ArticleBMC public health2021
A risk model and nomogram for high-frequency hearing loss in noise-exposed workers.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applying Machine Learning Models to Predict Occupational Noise-Induced Hearing Loss: A Systematic Review and Meta-analysis.Noise & healthPooled it
- Extended high-frequency audiometry in older adults: hearing thresholds.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Prediction of risk of hearing loss by industry noise from cross-sectional and longitudinal data.Communications medicine · 2026Article
- Development and empirical validation of a multi-criteria decision-making model for the assessment of noise-induced hearing loss (NIHL) in high-exposure industrial settings.BMC public health · 2026Article
- Analysis of influencing factors and prediction of falls among rural older adults in China based on a nomogram model.Frontiers in public health · 2026Article
- Association between occupational noise-induced hearing loss and cognitive function: a multimodal cross-sectional study.Frontiers in public health · 2026Article
- [The damaging effects of two exposures to 100 dB white noise on myelination of the auditory nerve in mouse cochleae mechanism of repeated noise exposure on myelin sheath of cochlear auditory nerve in mice].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Article
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- A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population.BMC public health · 2024Article
- Occupational epidemiological characteristics of noise-induced hearing loss and the impact of combined exposure to noise and dust on workers' hearing-a retrospective study.Frontiers in public health · 2024Article
- Occupational Noise Exposure and High-Frequency Hearing Loss: A Comparative Study of Workers Across Multiple Industries.Noise & healthArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh-frequency hearing loss is a significant occupational health concern in many countries, and early identification can be effective for preventing hearing loss. The study aims to construct and validate a risk model for HFHL, and develop a nomogram for predicting the individual risk in noise-exposed workers.
methodsThe current research used archival data from the National Key Occupational Diseases Survey-Sichuan conducted in China from 2014 to 2017. A total of 32,121 noise-exposed workers completed the survey, of whom 80% workers (n = 25,732) comprised the training cohort for risk model development and 20% workers (n = 6389) constituted the validation cohort for model validation. The risk model and nomogram were constructed using binary logistic models. The effectiveness and calibration of the model were evaluated with the receiver operating characteristic curve and calibration plots, respectively.
resultsA total of 10.06% of noise-exposed workers had HFHL. Age (OR = 1.09, 95% CI: 1.083-1.104), male sex (OR = 3.25, 95% CI: 2.85-3.702), noise exposure duration (NED) (OR = 1.15, 95% CI: 1.093-1.201), and a history of working in manufacturing (OR = 1.50, 95% CI: 1.314-1.713), construction (OR = 2.29, 95% CI: 1.531-3.421), mining (OR = 2.63, 95% CI: 2.238-3.081), or for a private-owned enterprise (POE) (OR = 1.33, 95% CI: 1.202-1.476) were associated with an increased risk of HFHL (P < 0.05).
conclusionsThe risk model and nomogram for HFHL can be used in application-oriented research on the prevention and management of HFHL in workplaces with high levels of noise exposure.
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