ORIGINAL RESEARCH article

Front. Public Health

Sec. Aging and Public Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1577265

Global Burden and Future Projections of Geriatric Gout (1990-2021): A Comprehensive Analysis and Bayesian Age-Period-Cohort Modeling

Provisionally accepted
Jiqing  WangJiqing Wang1Yonghui  ZhaoYonghui Zhao1Boya  ZhaoBoya Zhao2Yingang  ZhangYingang Zhang1*
  • 1Department of Orthopedics, First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi, China
  • 2Center for Reproductive Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China

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

Gout is increasingly being recognized as a major chronic condition in the elderly population, significantly impacting global disease burden, healthcare costs, and disability. This study, based on the Global Burden of Disease (GBD) database covering data from 204 countries and regions between 1990 and 2021, evaluates the age-standardized incidence rate, prevalence, and Years Lived with Disability (YLDs) of gout among individuals aged 60 and over. The findings show that throughout the study period, all indicators have been on a steady rise, with particularly notable increases in high Socio-demographic Index (SDI) areas and among elderly women. Inequality analysis indicates that while the burden of gout is increasingly concentrated in high SDI countries, the trends of increase in low SDI regions are also significant and cannot be ignored. Frontier Analysis further reveals significant differences in the burden of gout among countries with similar SDI levels, suggesting that medical infrastructure, preventive measures, and cultural factors may influence the epidemiology of gout. Additionally, Bayesian Age-Period-Cohort (BAPC) models predict that the incidence, prevalence, and YLDs of gout in the elderly will continue to rise up to 2036. These findings highlight the urgency for comprehensive management strategies, especially for high-risk populations.

Keywords: GBD, Gout, BAPC analysis, elderly population, YLDs rate

Received: 15 Feb 2025; Accepted: 14 Apr 2025.

Copyright: © 2025 Wang, Zhao, Zhao and Zhang. 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: Yingang Zhang, Department of Orthopedics, First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, 710061, Shaanxi, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.