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Dataset Information

A risk model and nomogram for high-frequency hearing loss in noise-exposed workers.


ABSTRACT:

Background

High-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.

Methods

The 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 effe

SUBMITTER: Sun R 

PROVIDER: S-EPMC8053268 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature