Evidence map›Paper›PMID 40170043›Full record

ArticleLipids in health and disease2025

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

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

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Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aijun HeYanan Medical College of Yanan University, Yan'an, 716000, China.
Yuyu CuiYanan Medical College of Yanan University, Yan'an, 716000, China. 13783147053@163.com.
Zhening XuYanan Medical College of Yanan University, Yan'an, 716000, China.
Zhaoshu CuiYanan Medical College of Yanan University, Yan'an, 716000, China.
Yanju LiYan'an University Affiliated Hospital, Yan'an, 716000, Shaanxi, China.
Jianbo ChangYan'an University Affiliated Hospital, Yan'an, 716000, Shaanxi, China.
Xiaoyan ZhouYanan Medical College of Yanan University, Yan'an, 716000, China. xyzchc@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBody 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.

methodsThe 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.

resultsA 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.

conclusionsAmong 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.

Indexed as

Adipose TissueArthritisAdultAgedBody CompositionBody Mass IndexFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsArthritisCHARLSCohort studyPredicted fat massPredicted lean body mass

Identifiers

PMID40170043
PMCPMC11960006

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.