WANG Hao 1,2 , LIU Hua 1,2 , SHI Tianyun 1,2 , FAN Huaixi 1,2 , LI Songka 2
  • 1. First Clinical Medical College of Gansu University of Chinese Medicine, Lanzhou Gansu, 730000, P. R. China;
  • 2. Department of Orthopedics, the 940th Hospital of Chinese PLA Joint Logisitcs Support Force, Lanzhou Gansu, 730050, P. R. China;
LI Songka, Email: lisongkai1204@qq.com
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Objective  To analyze the current status and temporal trends of the disease burden of spinal fractures in China from 1990 to 2021 based on data from the Global Burden of Disease Study 2021 (GBD 2021) , aiming to provide evidence for developing prevention and treatment strategies. Methods  Epidemiological data on spinal fractures in China, the United States of America (USA), and globally were extracted from the GBD 2021 database. Joinpoint regression models were applied to analyze temporal trends. Age-standardized incidence, prevalence, and disability-adjusted life years (DALYs) rates were calculated, with comparisons of gender- and age-group disparities. Results  In 2021, the number of incident cases, prevalent cases, and DALYs of spinal fractures in China increased by 52.28%, 113.68%, and 106.98%, respectively, compared to 1990. The age-standardized incidence, prevalence, and DALYs rates rose by 11.80%, 16.11%, and 14.79%, respectively. The disease burden escalated significantly with age, peaking in individuals aged≥75 years. Males exhibited higher age-standardized incidence and DALYs rates than females. Comparative analysis revealed that the age-standardized DALYs rate in China (4.19/100 000) was lower than that in globally (6.62/100 000) and USA (15.92/100 000). However, China showed an upward trend [annual average percentage change (AAPC)=0.19], contrasting with a declining trend in the USA (AAPC=–0.08). Conclusion The escalating disease burden of spinal fractures in China is closely linked to population aging, gender disparities, and insufficient targeted prevention policies. Future strategies should integrate age- and gender-specific interventions, including strengthened osteoporosis prevention, trauma risk control, and big data-driven precision measures, to mitigate this burden.

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