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Abstract Title
Predictive efficacy of different diagnostic criteria for obesity in osteoporosis and cardiovascular diseases
Presentation Type
Poster Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Obesity
Author's Information
Number of Authors (including submitting/presenting author) *
2
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Zhenrun Zhan 17836095010@163.com the First Affiliated Hospital, Fujian Medical University Department of Endocrinology Fuzhou China *
Co-author 2
Sunjie Yan 849031252@qq.com the First Affiliated Hospital, Fujian Medical University Department of Endocrinology Fuzhou China -
Co-author 3
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Co-author 15
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Abstract Content
Background and aims *
This study aimed to analyze the global disease burden of high Body Mass Index (BMI) and to evaluate and compare the predictive efficacy of three obesity diagnostic criteria—WHO, EASO, and AOU—alongside the Waist-to-Height Ratio (WHtR), for osteoporosis (OP), hip fracture (HF), major osteoporotic fracture (MOF) and cardiovascular diseases (CVD) in a clinical cohort.
Methods *
Data on the high BMI burden in China and globally (1990-2021) were sourced from the Global Health Data Exchange (GHDx). A clinical study enrolled 17,949 participants from a single center in China. Obesity was diagnosed using WHO, EASO, and AOU criteria. Associations between WHtR (as continuous and categorical variable by tertiles) and the risks of CVD, HF, and MOF were analyzed using Cox proportional hazards models, with adjustments for multiple covariates.
Results *
From 1990 to 2021, the age-standardized rate of high BMI in China increased by 146.22% (AAPC=2.95%), exceeding the global increase of 70.89% (AAPC=1.74%). In the clinical cohort, the EASO obesity criteria demonstrated significant associations with CVD. WHtR, as a continuous variable, was a significant risk factor for CVD, HF, and MOF across all adjusted models. When analyzed by tertiles, the highest WHtR tertile was associated with significantly increased risks of CVD (HR=1.118), HF (HR=2.364), and MOF (HR=3.563) compared to the lowest tertile in fully adjusted models, showing a dose-response relationship. Restricted cubic spline models confirmed non-linear increases in risk with rising WHtR.
Conclusions *
The high BMI burden is rising markedly, especially in China. WHtR is a potent and independent predictor for CVD, HF, and MOF risks. Its integration into clinical practice, particularly within frameworks like the EASO criteria, could enhance risk stratification and proactive intervention strategies for obesity-related comorbidities.
Keyword(s)
Diagnostic criteria, Obesity, Osteoporotic fracture, Cardiovascular diseases, Global burden of disease
Figure 1
Figure 1 Caption
Total Word Count
287
Presenting Author First Name
Zhenrun
Presenting Author Last Name
Zhan
Presenting Author Email
17836095010@163.com
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