ORIGINAL RESEARCH article

Front. Nutr.

Sec. Clinical Nutrition

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1610950

Association between relative fat mass and Osteoarthritis in American adults

Provisionally accepted
Ziyuan  LiZiyuan Li1Tangchen  YinTangchen Yin2Yijing  ChenYijing Chen2Jiangsheng  HuangJiangsheng Huang2Yuanyue  JiangYuanyue Jiang2*Wei  DengWei Deng2*
  • 1Taihu University of Wuxi, Wuxi, China
  • 2Department of Pathology, Kunshan Hospital of Traditional Chinese Medicine, Suzhou, China

The final, formatted version of the article will be published soon.

Background: Relative fat mass (RFM) is a newly established anthropometric measurement that offers an alternative method for assessing body fat. Osteoarthritis (OA) is a widespread public health issue, with existing evidence identifying obesity as a notable risk factor for the OA development. This study aimed to examine the potential correlation between RFM and OA within a nationally representative population.Methods: This study employed data collected from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Weighted logistic regression models were performed to assess the relationship between RFM and OA. Furthermore, the predictive efficacy of various adiposity indicators for OA was examined through receiver operating characteristic (ROC) curve analysis, allowing for comparisons of area under the curve (AUC) values.The study cohort comprised 28,535 participants from the NHANES dataset.The analytical results indicated significant positive associations between RFM and OA.Stratified analyses revealed notable effect modifications based on age and diabetes status concerning the RFM-OA relationship. Comparative ROC analysis indicated RFM exhibited a superior capability for predicting OA prediction (AUC values: 0.646) compared with traditional obesity metrics.The findings demonstrated a significant positive correlation between RFM and OA, indicating that higher RFM levels are associated with increased risk of OA.ROC analyses reinforced the diagnostic value of RFM for OA, with its predictive performance exceeding that of conventional adiposity metrics.

Keywords: RFM, NHANES, Osteoarthritis, Obesity, Cross-sectional study

Received: 19 Apr 2025; Accepted: 02 Jun 2025.

Copyright: © 2025 Li, Yin, Chen, Huang, Jiang and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Yuanyue Jiang, Department of Pathology, Kunshan Hospital of Traditional Chinese Medicine, Suzhou, China
Wei Deng, Department of Pathology, Kunshan Hospital of Traditional Chinese Medicine, Suzhou, China

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