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ORIGINAL RESEARCH article

Front. Public Health

Sec. Occupational Health and Safety

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1668318

Survival Analysis of Pneumoconiosis Patients in Jiangsu Province from 1960 to 2024

Provisionally accepted
Ning  WangNing Wang1Xinlei  ChuXinlei Chu1Lang  ZhouLang Zhou2Yuan  ZhaoYuan Zhao2Qianqian  GaoQianqian Gao2Yue  GaoYue Gao2Lei  HanLei Han1,2*Peng  ZhouPeng Zhou2*
  • 1Nanjing Medical University School of Public Health, Nanjing, China
  • 2Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China

The final, formatted version of the article will be published soon.

Introduction: Pneumoconiosis is recognized as a major occupational health burden worldwide, especially in developing countries where industrial dust exposure is prevalent. This study aims to provide evidence for the development of prevention and control strategies and the strengthening of patient support systems. Methods: Data for this study were sourced from the Jiangsu Province Pneumoconiosis Follow-up Online Reporting System. Survival analysis was performed employing life tables and the Kaplan-Meier method. The Cox proportional hazards regression models were deployed to identify factors influencing pneumoconiosis patients' survival time. Results: A total of 18,064 patients were diagnosed with pneumoconiosis in Jiangsu Province between 1960 and 2024. Life table analysis revealed an overall cumulative survival rate of 40%. Both mortality and hazard ratios increased with advancing age. Patients with Stage III pneumoconiosis had a significantly lower survival rate compared with those in stages I and II (P < 0.05). The results showed that gender, stage at first diagnosis, age at first diagnosis, and disease progression were significant factors influencing survival time. Conclusion: Our findings highlight the importance of strengthening prevention and control measures targeting high-risk populations and key industries. Strategies should focus on early detection, timely diagnosis, and active intervention.

Keywords: occupational disease, Pneumoconiosis, Mortality rate, survival analysis, CoxRegression Analysis

Received: 17 Jul 2025; Accepted: 26 Sep 2025.

Copyright: © 2025 Wang, Chu, Zhou, Zhao, Gao, Gao, Han and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Lei Han, hanlei_jscdc@163.com
Peng Zhou, 29980693@qq.com

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