Zhengrong Qi, Ruiqi Cao, Haomiao Yu, Zhiyao Li, Qiang Li, Zuling Yi, Lifeng Ma, Yan Yang
{"title":"Evaluating anthropometric indices of obesity for early osteoarthritis detection: focus on body fat percentage and relative fat mass.","authors":"Zhengrong Qi, Ruiqi Cao, Haomiao Yu, Zhiyao Li, Qiang Li, Zuling Yi, Lifeng Ma, Yan Yang","doi":"10.1007/s10067-025-07604-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":10482,"journal":{"name":"Clinical Rheumatology","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Rheumatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10067-025-07604-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
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.
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.