The non-linear relationships between fat mass and lean body mass with arthritis.

IF 3.9 2区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Lipids in Health and Disease Pub Date : 2025-04-01 DOI:10.1186/s12944-025-02525-6

Aijun He, Yuyu Cui, Zhening Xu, Zhaoshu Cui, Yanju Li, Jianbo Chang, Xiaoyan Zhou

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引用次数: 0

Abstract

Introduction: Body composition has been associated with various health outcomes, but its specific relationship with arthritis risk remains unclear. The study aimed to examine the associations between lean body mass (LBM) and fat mass (FM) with arthritis risk in men and women and to identify their threshold values.

Methods: The data were obtained from the CHARLS, a prospective cohort study from 2011 to 2018. Multivariate Cox regression models evaluated the associations between LBM and FM and arthritis risk. Smoothing curves and two-piece linear regression models were applied to identify the inflection points of LBM and FM associated with arthritis risk.

Results: A total of 6,761 participants were included in this study. During a mean follow-up period of 6.66 years, 944 participants (13.96%) developed new-onset arthritis, with an incidence rate of 20.72 per 1,000 person-years. Multivariate Cox regression analysis demonstrated a significant linear association between FM and the risk of new-onset arthritis in men. Individuals in the highest FM quartile (Q4) had the highest risk of developing arthritis (HR = 1.25, 95% CI: 1.03-1.51). Two-piece linear regression models revealed nonlinear relationships between LBM, FM, and arthritis risk. Specifically, in men, LBM was negatively associated with arthritis risk when it was below 43.79 kg (HR = 0.97, 95% CI: 0.95-0.99), but this association was no longer significant above this threshold (HR = 1.01, 95% CI: 0.98-1.03). In women, arthritis risk significantly decreased when LBM exceeded 39.04 kg (HR = 0.92, 95% CI: 0.87-0.96). Additionally, in women, FM exhibited a U-shaped relationship with arthritis risk, with the lowest risk observed at an FM level of 17.16 kg.

Conclusions: Among Chinese adults aged 45 and older, maintaining appropriate levels of LBM and FM may help reduce arthritis risk. Based on the nonlinear findings, it is recommended to maintain LBM below 43.79 kg for men, above 39.04 kg for women, and to keep FM at approximately 17.16 kg for women, which may be appropriate.

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脂肪量和瘦体重与关节炎的非线性关系。

身体成分与多种健康结果相关，但其与关节炎风险的具体关系尚不清楚。该研究旨在研究男性和女性瘦体重（LBM）和脂肪体重（FM）与关节炎风险之间的关系，并确定它们的阈值。方法：数据来自CHARLS，这是一项2011 - 2018年的前瞻性队列研究。多变量Cox回归模型评估LBM和FM与关节炎风险之间的关系。采用平滑曲线和两件式线性回归模型确定与关节炎风险相关的LBM和FM拐点。结果：本研究共纳入6761名受试者。在平均6.66年的随访期间，944名参与者（13.96%）发展为新发关节炎，发病率为每1000人年20.72例。多变量Cox回归分析显示FM与男性新发关节炎风险之间存在显著的线性关联。最高FM四分位数（Q4）的个体患关节炎的风险最高（HR = 1.25, 95% CI: 1.03-1.51）。两件线性回归模型揭示了LBM、FM和关节炎风险之间的非线性关系。具体来说，在男性中，当体重低于43.79 kg时，腰厚与关节炎风险呈负相关（HR = 0.97, 95% CI: 0.95-0.99），但超过这个阈值后，这种关联不再显著（HR = 1.01, 95% CI: 0.98-1.03）。在女性中，当体重超过39.04 kg时，关节炎风险显著降低（HR = 0.92, 95% CI: 0.87-0.96）。此外，在女性中，FM与关节炎风险呈u型关系，在FM水平为17.16 kg时观察到最低风险。结论：在45岁及以上的中国成年人中，保持适当的LBM和FM水平可能有助于降低关节炎风险。基于非线性结果，建议男性的LBM保持在43.79 kg以下，女性保持在39.04 kg以上，女性的FM保持在17.16 kg左右，这可能是合适的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.