Association between occupational heat exposure and early renal dysfunction among Chinese petrochemical workers: a combined machine learning and WQS modeling study
Occupational heat exposure in petrochemical settings is significantly associated with hyperuricemia, suggesting potential early renal dysfunction risk. Integrating machine learning-based predictive models into workplace health surveillance may facilitate the early identification and management of high-risk workers. However, causal inference remains limited by the retrospective design and potential residual confounding, underscoring the need for prospective studies to validate and extend these findings.
Authors
- Jianjun Xiang (ORCID: https://orcid.org/0000-0002-6862-2696)
- Yilin Zhang (ORCID: https://orcid.org/0009-0004-5390-1416)
- Rong Xu (ORCID: https://orcid.org/0000-0001-7947-2788)
- Chuancheng Wu (ORCID: https://orcid.org/0000-0003-2101-4738)
- Yifeng Chen (ORCID: https://orcid.org/0000-0003-1358-3367)
- Weimin Ye (ORCID: https://orcid.org/0000-0002-6859-4648)
- Qingyu Li (ORCID: https://orcid.org/0000-0003-4638-4401)
- Minhua Li (ORCID: https://orcid.org/0009-0000-2077-110X)
- Wei Xing Zheng (ORCID: https://orcid.org/0000-0002-0572-5938)
- Zihu Lv
- Shanshan Du (ORCID: https://orcid.org/0009-0003-2340-9394)
Institutions
- Fujian Medical University (CN)
- Quzhou City People's Hospital (CN)
- The 180th Hospital of PLA (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-11-12
- DOI
- https://doi.org/10.3389/fpubh.2025.1648619
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fujian Medical University