Evaluating anthropometric indices of obesity for early osteoarthritis detection: focus on body fat percentage and relative fat mass.

IF 2.8 3区 医学 Q2 RHEUMATOLOGY
Zhengrong Qi, Ruiqi Cao, Haomiao Yu, Zhiyao Li, Qiang Li, Zuling Yi, Lifeng Ma, Yan Yang
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引用次数: 0

Abstract

Objective: Osteoarthritis is a prevalent joint disorder with a significant global burden. Identifying individuals at risk for osteoarthritis is essential, and obesity indices may be the key to early detection. This study aimed to explore the relationships between anthropometric indices of obesity and osteoarthritis and to assess their predictive abilities.

Methods: This cross-sectional study included 54,041 participants aged 20 years or older from NHANES cycles spanning 1999 to 2023. Anthropometric indices of obesity included body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), weight-adjusted waist index (WWI), body roundness index (BRI), body fat percentage (BFP), relative fat mass (RFM), and conicity index (CI). Multivariate logistic regression and receiver operating characteristic curves were conducted to evaluate the associations and predictive capacities of these indices for osteoarthritis.

Results: BMI, WC, WHtR, WWI, BRI, BFP, RFM, and CI were independently positively associated with osteoarthritis risk. RFM (OR = 1.662, 95% CI 1.571 ~ 1.757, P < 0.001) and BFP (OR = 1.555, 95% CI 1.494 ~ 1.617, P < 0.001) showed the strongest associations. The AUCs for the indices ranged from 0.581 to 0.706. BFP had the largest AUC (0.706, 95% CI 0.700 ~ 0.712), with an optimal cut-off of 35.922 (sensitivity, 71.292%; specificity, 59.258%), followed by WWI (AUC = 0.660, 95% CI 0.653 ~ 0.667), CI (AUC = 0.647, 95% CI 0.640 ~ 0.654), and RFM (AUC = 0.639, 95% CI 0.632 ~ 0.646).

Conclusion: BFP and RFM emerged as valuable tools for early osteoarthritis identification. Key Points • Anthropometric indices of obesity are positively associated with osteoarthritis and can serve as predictors of its risk. • Relative fat mass (RFM) demonstrates the strongest association with osteoarthritis risk. • Body fat percentage (BFP) exhibits the strongest predictive ability for osteoarthritis. • BFP and RFM are recommended for early osteoarthritis identification.

评估肥胖的人体测量指标对早期骨关节炎的检测:关注体脂率和相对脂肪质量。
目的:骨关节炎是一种普遍的关节疾病,具有显著的全球负担。识别有患骨关节炎风险的个体是必要的,而肥胖指数可能是早期发现的关键。本研究旨在探讨肥胖与骨关节炎的人体测量指标之间的关系,并评估其预测能力。方法:这项横断面研究包括1999年至2023年NHANES周期的54,041名年龄在20岁或以上的参与者。肥胖的人体测量指标包括体重指数(BMI)、腰围(WC)、腰高比(WHtR)、体重调整腰围指数(WWI)、体圆度指数(BRI)、体脂率(BFP)、相对脂肪质量(RFM)和圆度指数(CI)。采用多变量logistic回归和受试者工作特征曲线来评估这些指标对骨关节炎的相关性和预测能力。结果:BMI、WC、WHtR、WWI、BRI、BFP、RFM和CI与骨关节炎风险独立正相关。RFM (OR = 1.662, 95% CI 1.571 ~ 1.757, P)结论:BFP和RFM是早期骨关节炎诊断的重要工具。•肥胖的人体测量指数与骨关节炎呈正相关,可以作为其风险的预测指标。•相对脂肪量(RFM)与骨关节炎风险的相关性最强。•体脂率(BFP)对骨关节炎的预测能力最强。•BFP和RFM推荐用于早期骨关节炎识别。
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来源期刊
Clinical Rheumatology
Clinical Rheumatology 医学-风湿病学
CiteScore
6.90
自引率
2.90%
发文量
441
审稿时长
3 months
期刊介绍: Clinical Rheumatology is an international English-language journal devoted to publishing original clinical investigation and research in the general field of rheumatology with accent on clinical aspects at postgraduate level. The journal succeeds Acta Rheumatologica Belgica, originally founded in 1945 as the official journal of the Belgian Rheumatology Society. Clinical Rheumatology aims to cover all modern trends in clinical and experimental research as well as the management and evaluation of diagnostic and treatment procedures connected with the inflammatory, immunologic, metabolic, genetic and degenerative soft and hard connective tissue diseases.
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