Association between conicity index (C-index), relative fat mass (RFM), and osteoarthritis (OA): evidence from NHANES 2003-2018.

IF 3.9 2区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Lipids in Health and Disease Pub Date : 2025-04-16 DOI:10.1186/s12944-025-02558-x

Xiaodong Ren, Junxiang Wang, Jiachen Wang, Guoqiang Wang, Honghao Ren, Peng Xu, Mingyi Yang, Ke Xu

{"title":"Association between conicity index (C-index), relative fat mass (RFM), and osteoarthritis (OA): evidence from NHANES 2003-2018.","authors":"Xiaodong Ren, Junxiang Wang, Jiachen Wang, Guoqiang Wang, Honghao Ren, Peng Xu, Mingyi Yang, Ke Xu","doi":"10.1186/s12944-025-02558-x","DOIUrl":null,"url":null,"abstract":"Background: Obesity is considered an important risk factor for osteoarthritis (OA), with conicity index (C-index), relative fat mass (RFM) are two novel anthropometric measures of obesity. To investigate the association between OA and these two indicators, we conducted this study.Methods: We used data from the National Health and Nutrition Examination Survey (NHANES) to investigate the association between C-index, RFM, and OA. First, the participants were divided into two groups according to whether they had OA, and we compared the baseline characteristics of the two groups. Then, C-index and RFM were divided into quartiles (Q1, Q2, Q3, Q4) for multivariate regression analysis. Additionally, we applied restricted cubic spline (RCS) to assess whether the relationship is non-linear. Finally, we conducted a subgroup interaction analysis to investigate whether this relationship varies across different subgroups.Results: The study included 34,707 participants, with a weighted OA prevalence of 7.7%. Significant differences in C-index and RFM were observed between OA and non-OA groups. Treating C-index and RFM as categorical variables, logistic regression showed significantly higher OA risk in Q4 compared to Q1: for C-index, Q4 (OR = 1.60; 95% CI: 1.33-1.93; P < 0.001); for RFM, Q4 (OR = 2.07; 95% CI: 1.57-2.73; P < 0.001). The RCS results show that the relationship between C-index and OA is non-linear, while the relationship between RFM and OA is linear. Subgroup interaction analysis showed some interaction effects.Conclusions: This study reveals detailed relationships between C-index, RFM, and OA, which may be better indicators of obesity in assessing OA risk.","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"140"},"PeriodicalIF":3.9000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12001612/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lipids in Health and Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12944-025-02558-x","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Obesity is considered an important risk factor for osteoarthritis (OA), with conicity index (C-index), relative fat mass (RFM) are two novel anthropometric measures of obesity. To investigate the association between OA and these two indicators, we conducted this study.

Methods: We used data from the National Health and Nutrition Examination Survey (NHANES) to investigate the association between C-index, RFM, and OA. First, the participants were divided into two groups according to whether they had OA, and we compared the baseline characteristics of the two groups. Then, C-index and RFM were divided into quartiles (Q1, Q2, Q3, Q4) for multivariate regression analysis. Additionally, we applied restricted cubic spline (RCS) to assess whether the relationship is non-linear. Finally, we conducted a subgroup interaction analysis to investigate whether this relationship varies across different subgroups.

Results: The study included 34,707 participants, with a weighted OA prevalence of 7.7%. Significant differences in C-index and RFM were observed between OA and non-OA groups. Treating C-index and RFM as categorical variables, logistic regression showed significantly higher OA risk in Q4 compared to Q1: for C-index, Q4 (OR = 1.60; 95% CI: 1.33-1.93; P < 0.001); for RFM, Q4 (OR = 2.07; 95% CI: 1.57-2.73; P < 0.001). The RCS results show that the relationship between C-index and OA is non-linear, while the relationship between RFM and OA is linear. Subgroup interaction analysis showed some interaction effects.

Conclusions: This study reveals detailed relationships between C-index, RFM, and OA, which may be better indicators of obesity in assessing OA risk.

查看原文本刊更多论文

锥形指数（C-index）、相对脂肪量（RFM）和骨关节炎（OA）之间的关联：来自NHANES 2003-2018的证据

背景：肥胖被认为是骨关节炎（OA）的重要危险因素，锥度指数（C-index）和相对脂肪量（RFM）是肥胖症的两个新的人体测量指标。为了研究OA与这两个指标之间的关系，我们进行了这项研究。方法：我们使用国家健康与营养检查调查（NHANES）的数据来调查c指数、RFM和OA之间的关系。首先，根据参与者是否患有OA分为两组，我们比较了两组的基线特征。然后将C-index和RFM分成四分位数（Q1、Q2、Q3、Q4）进行多元回归分析。此外，我们应用限制三次样条（RCS）来评估这种关系是否是非线性的。最后，我们进行了亚组交互分析，以调查这种关系是否在不同的亚组之间有所不同。结果：该研究包括34,707名参与者，OA加权患病率为7.7%。OA组和非OA组c指数和RFM有显著性差异。将C-index和RFM作为分类变量，logistic回归显示，Q4的OA风险明显高于Q1：对于C-index， Q4 (OR = 1.60；95% ci: 1.33-1.93；结论：本研究揭示了c指数、RFM和OA之间的详细关系，这可能是评估OA风险时更好的肥胖指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Lipids in Health and Disease 生物-生化与分子生物学

CiteScore

7.70

自引率

2.20%

发文量

122

审稿时长

3-8 weeks

期刊介绍： Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.