Risk analysis of noise-induced hearing loss of workers in the automobile manufacturing industries based on back-propagation neural network model: a cross-sectional study in Han Chinese population.

Objectives: This study aims to predict the risk of noise-induced hearing loss (NIHL) through a back-propagation neural network (BPNN) model. It provides an early, simple and accurate prediction method for NIHL.

Design: Population based, a cross sectional study.

Role of CASP7 polymorphisms in noise-induced hearing loss risk in Han Chinese population.

Genetic factors and gene-environment interaction may play an important role in the development of noise induced hearing loss (NIHL). 191 cases and 191 controls were selected by case-control study. Among them, case groups were screened from workers exposed to noise in binaural high-frequency hearing thresholds greater than 25 dB (A).

Relationship between occupational noise exposure and hypertension: A cross-sectional study in steel factories.

Background: Hazardous exposure to occupational noise may be associated with an increased risk of cardiovascular disease and hypertension. This study was performed to assess the relationship between noise exposure and hypertension prevalence in steelworkers.

Methods: A cross-sectional survey using self-reported noise exposure and audiometrically measured hearing loss was performed.

[A cross-sectional study on the industrial noise over-limit status in Guangzhou factories].

Objective: To investigate the industrial noise over-limit status of the worksites in Guangzhou factories, so as to promote the prevention and control of occupational noise hazards.

Methods: 211 factories in Guangzhou were monitored and investigated. The analysis and assessment were developed for the properties and size of the factories, the districts of the factories being located, the industries of the factories being classified and the date of monitoring.