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.
Highlights
Occupational hearing loss is the second most common form of sensory-related hearing loss after age-related hearing loss and is a major occupation-related condition worldwide [1]
Considering the above-mentioned information, the objective of this study was to construct a risk model to identify the predictors of High-frequency hearing loss (HFHL) and develop a HFHL nomogram to calculate the individual risk for noiseexposed workers
Mining Others a Abbreviations: NED noise exposure duration, Foreign-owned enterprise (FOE) foreign-owned enterprise, State-owned enterprise (SOE) state-owned enterprise, POE private-owned enterprise aOthers included the transportation industry, storage industry, postal industry, agricultural industry, and fishery and animal husbandry industry model had good discrimination, as demonstrated by an Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of 0.713
Summary
Occupational hearing loss is the second most common form of sensory-related hearing loss after age-related hearing loss and is a major occupation-related condition worldwide [1]. The World Health Organization (WHO) reported that 16% of adult hearing loss cases were caused by occupational noise exposure [2]. Due to the high cost of occupational noise services, mismanagement of occupational health and insufficient personal protective equipment for noiseexposed workers [6], the National Health and Family Planning Commission (NHFPC) of the People’s Republic of China (PRC) reported that the incidence of occupational ear, nose and throat diseases (OENTD) has. New cases of OENTD exceeded those of occupational poisoning to become the second most common occupational disease after occupational pneumoconiosis since 2015, and 95.90% of OENTD cases were noise-induced hearing loss (NIHL). From 2015 to 2019, the NHFPC reported that the numbers of new cases of OENTD were 1097 cases, 1276 cases, 1608 cases, 1528 cases, and 1623 cases, respectively [7,8,9,10,11]. 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
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