Prediction of risk of hearing loss by industry noise from cross-sectional and longitudinal data
These findings provide evidence-based prediction tools that enable individualized risk assessment. Practically, identifying workers at high risk would benefit the hearing preservation in the frequencies more relevant to speech sounds and maintain good communication.
Authors
- Shanghuo Li (ORCID: https://orcid.org/0000-0003-1275-5251)
- Wang Shen (ORCID: https://orcid.org/0000-0001-5779-5471)
- Jiayu Li (ORCID: https://orcid.org/0009-0001-4479-3706)
- Xinrong Ma
- Xiaoyan Yu (ORCID: https://orcid.org/0000-0002-0748-3522)
- Hong-Fu Zhang (ORCID: https://orcid.org/0009-0000-3776-4854)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Hongyu Dong
- S. Yin
- Yiming Ma
- Jiping Wang
- Jingjing Cai
- Hui Wang
- Ying Wang
Institutions
- Dalhousie University (CA)
- Shanghai Jiao Tong University (CN)
- Shanghai Sixth People's Hospital (CN)
- Institute of Natural Science (KP)
- University at Buffalo, State University of New York (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1038/s43856-026-01463-3
- Primary Topic
- Hearing, Cochlea, Tinnitus, Genetics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- School of Medicine, Shanghai Jiao Tong University