Noise-induced hearing loss associated with non-Gaussian noise in manufacturing industry of China: A systematic review and meta-analysis

• Published in: Huan jing yu zhi ye yi xue = Journal of environmental & occupational medicine Vol. 39; no. 4; p. 382
• Main Authors: Shi, Zhihao, Xin, Jiarui, Zhou, Jiena, Zhou, Lifang, Gao, Xiangjing, Zhang, Meibian
• Format: Journal Article
• Language: Chinese
• Published: Shanghai Shanghai Municipal Center For Disease Control and Prevention 01.01.2022
• Subjects: Background noise; Bias; Binary system; Epidemiology; Hearing; Hearing loss; Manufacturing; Manufacturing industry; Mathematical analysis; Meta-analysis; Noise; Noise control; Noise levels; Occupational exposure; Random noise; Sensitivity analysis; Sound pressure; Statistical analysis; Young adults; China
• ISSN: 2095-9982
• DOI: 10.11836/JEOM21264

[Background] Non-Gaussian noise has become the dominant noise type in industry. However, the epidemiological characteristics of non-Gaussian noise exposure and associated noise-induced hearing loss (NIHL) are still unclear. [Objective] To summarize the epidemiological characteristics of NIHL associated with non-Gaussian noise in manufacturing industry in China and provide a basis for the early prevention and control of occupational hearing loss. [Methods] Chinese and English literature on hearing loss associated with non-Gaussian noise in China were retrieved. The overall prevalence was calculated based on the prevalence data provided by each included study. A meta-analysis of studies with Gaussian noise as a control group was also performed and the overall weighted odds ratio (OR) was calculated to compare the effects of non-Gaussian noise and Gaussian noise on hearing loss. Publication bias was evaluated by funnel plot and Egger regression, and a sensitivity analysis was performed by eliminating references