[Analysis of disease burden and trends of noise-induced hearing loss in China from 1990 to 2019].

<b>Objective:</b> To analyze the disease burden of Noise-Induced Hearing Loss (NIHL) in China from 1990 to 2019, forecast the disease burden of NIHL from 2020 to 2030, and provide data support for the prevention and control of NIHL. <b>Methods:</b> In July 2022, the disease burden data of NIHL in different age groups and genders in China during 1990-2019 were selected from the GBD database. The Jointpoint regression model was established to analyze the trend of the disease burden of NIHL in China. An age-period-cohort model was constructed to analyze the changing trend of NIHL in terms of age, period, and cohort, and a Bayesian age-period-cohort model was developed to predict the disease burden of NIHL in China from 2020 to 2030. <b>Results:</b> From 1990 to 2019, the disability adjusted life year (DALY) of China's NIHL increased from 1361600 to 2327700 years. The coarse rate of DALY increased from 115.03/100000 to 163.65/100000 (AAPC=1.23, <i>P</i><0.001), and the normalization rate of DALY decreased from 127.67/100000 to 119.83/100000 (AAPC=-0.21, <i>P</i><0.001). It is predicted that from 2020 to 2030, the DALYs of China's NIHL will increase from 2412900 in 2020 to 2655000 in 2030, and the DALY normalization rate will decrease from 241.29/100000 in 2020 to 125.71/100000 in 2030. <b>Conclusion:</b> The burden of noise-induced hearing loss (NIHL) in China is significant and should not be overlooked. To reduce this burden, we need to focus on strengthening source management, process control, personal protection, and comprehensive prevention and treatment through various methods.

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Journal
PubMed
Published
2024-10-20
DOI
https://doi.org/10.3760/cma.j.cn121094-20240109-00119
Primary Topic
Hearing, Cochlea, Tinnitus, Genetics
Type
article
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[Analysis of disease burden and trends of noise-induced hearing loss in China from 1990 to 2019].

Mi Xiao, Z Wang, J W Zhang, Y Liao et al.
PubMed
Hearing, Cochlea, Tinnitus, Genetics
article

[Analysis of disease burden and trends of noise-induced hearing loss in China from 1990 to 2019].

Mi Xiao, Z Wang, J W Zhang, Y Liao, Lihua Chen, Z B Cen
article en

Abstract

<b>Objective:</b> To analyze the disease burden of Noise-Induced Hearing Loss (NIHL) in China from 1990 to 2019, forecast the disease burden of NIHL from 2020 to 2030, and provide data support for the prevention and control of NIHL. <b>Methods:</b> In July 2022, the disease burden data of NIHL in different age groups and genders in China during 1990-2019 were selected from the GBD database. The Jointpoint regression model was established to analyze the trend of the disease burden of NIHL in China. An age-period-cohort model was constructed to analyze the changing trend of NIHL in terms of age, period, and cohort, and a Bayesian age-period-cohort model was developed to predict the disease burden of NIHL in China from 2020 to 2030. <b>Results:</b> From 1990 to 2019, the disability adjusted life year (DALY) of China's NIHL increased from 1361600 to 2327700 years. The coarse rate of DALY increased from 115.03/100000 to 163.65/100000 (AAPC=1.23, <i>P</i><0.001), and the normalization rate of DALY decreased from 127.67/100000 to 119.83/100000 (AAPC=-0.21, <i>P</i><0.001). It is predicted that from 2020 to 2030, the DALYs of China's NIHL will increase from 2412900 in 2020 to 2655000 in 2030, and the DALY normalization rate will decrease from 241.29/100000 in 2020 to 125.71/100000 in 2030. <b>Conclusion:</b> The burden of noise-induced hearing loss (NIHL) in China is significant and should not be overlooked. To reduce this burden, we need to focus on strengthening source management, process control, personal protection, and comprehensive prevention and treatment through various methods.

PubMedVol. 42(10)
Twelfth Guangzhou City People's Hospital (CN)
Hearing, Cochlea, Tinnitus, Genetics
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[Analysis of disease burden and trends of noise-induced hearing loss in China from 1990 to 2019]. — Mi Xiao, Z Wang, et al. · PubMed (2024) | TGRS Research Map | TGRS