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1990 - 2021年中国骨关节炎的流行病学趋势与特征

Epidemiological trends and characteristics of osteoarthritis in China during 1990-2021.

作者信息

Chen Sheng, Chen Mingjue, Chen Chao, Xie Chao, Yu Yihan, Shao Zengwu, Xiao Guozhi

机构信息

Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.

出版信息

J Orthop Translat. 2025 Mar 17;51:218-226. doi: 10.1016/j.jot.2025.02.006. eCollection 2025 Mar.

DOI:10.1016/j.jot.2025.02.006
PMID:40177637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11964752/
Abstract

BACKGROUND

This study aimed to comprehensively analyze the incidence, prevalence, and disability-adjusted life years (DALYs) of osteoarthritis (OA) in China from 1990 to 2021 by age, sex, joint sites, high body mass index (BMI) and sociodemographic index (SDI).

METHODS

Data and methodologies from the Global Burden of Diseases (GBD) Study 2021 were obtained to evaluate the burden of OA in China. This assessment was conducted by estimating the number of incident cases, prevalent cases, DALYs, and corresponding age-standardized rates (ASRs). The estimated annual percentage change was employed to delineate the trends over time.

RESULTS

In China, the number of OA incidence cases, prevalence cases, and DALYs increased to 11.65 million, 152.85 million and 5.33 million in 2021, respectively, exhibiting a consistent upward trend over the years. The ASRs of OA incidence, prevalence, and DALYs rose 13.86 %, 14.34 %, and 16.23 % from 1990 to 2021, respectively, with knee OA most affected. In 2021, OA incidence, prevalence, and DALYs were higher in women than in men, and increased with age for both sexes, peaking at ages 50-54 for incidence and 55-59 for prevalence and DALYs. DALYs of OA attributed to high BMI increased rapidly, and high BMI contributed to 21.64 % of the total age-standardized DALYs rate of OA in China. Positive correlations were observed between ASRs and China's SDI from 1990 to 2021.

CONCLUSION

OA constitutes a significant public health challenge in China, with a persistently high disease burden. There is a pressing need to enhance public understanding of the risk factors associated with OA and to promote preventive strategies to mitigate the future burden of this disorder.The translational potential of this article China has the largest elderly population and the highest prevalence of OA globally. Updating and analyzing epidemiological data of OA in China will offer the public, healthcare professionals, and policymakers the most current, comprehensive, and comparable information, which holds significant translational potential.

摘要

背景

本研究旨在按年龄、性别、关节部位、高体重指数(BMI)和社会人口学指数(SDI)全面分析1990年至2021年中国骨关节炎(OA)的发病率、患病率和伤残调整生命年(DALY)。

方法

获取全球疾病负担(GBD)研究2021的数据和方法,以评估中国OA的负担。通过估计发病病例数、患病病例数、DALY数及相应的年龄标准化率(ASR)进行此项评估。采用估计的年变化百分比来描述随时间的趋势。

结果

在中国,2021年OA发病病例数、患病病例数和DALY数分别增至1165万、1.5285亿和533万,多年来呈持续上升趋势。1990年至2021年,OA发病率、患病率和DALY的ASR分别上升了13.86%、14.34%和16.23%,其中膝关节OA受影响最大。2021年,女性的OA发病率、患病率和DALY高于男性,且两性均随年龄增加而上升,发病率在50 - 54岁达到峰值,患病率和DALY在55 - 59岁达到峰值。归因于高BMI的OA的DALY迅速增加,高BMI在中国OA年龄标准化DALY率中占21.64%。1990年至2021年期间,ASR与中国的SDI之间存在正相关。

结论

OA在中国构成了重大的公共卫生挑战,疾病负担持续居高不下。迫切需要加强公众对与OA相关危险因素的认识,并推广预防策略以减轻该疾病未来的负担。本文的转化潜力中国拥有全球最大的老年人口和最高的OA患病率。更新和分析中国OA的流行病学数据将为公众、医疗保健专业人员和政策制定者提供最新、全面且可比的信息,具有重大的转化潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/89169b92762f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/7d246ea4a3d5/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/f698acfb1c67/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/b9572f5c4fc9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/8520201f957b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/cb075dc6b9f0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/89169b92762f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/7d246ea4a3d5/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/f698acfb1c67/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/b9572f5c4fc9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/8520201f957b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/cb075dc6b9f0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e372/11964752/89169b92762f/gr5.jpg

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