Evidence map›Paper›PMID 42128394›Full record

ArticleThe Korean journal of internal medicine2026

Opposing associations of muscle and fat mass changes on serum uric acid levels: a 2-year longitudinal cohort study.

Jiwon Hwang, Mi Yeon Lee, Joong Kyong Ahn

Abstract read
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Article in The Korean journal of internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jiwon HwangDivision of Rheumatology, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea.
Mi Yeon LeeDivision of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joong Kyong AhnDivision of Rheumatology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsObesity elevates serum uric acid (SUA) levels, but the influence of muscle mass remains unclear. As a major endogenous purine pool, skeletal muscle may affect SUA dynamics. We evaluated the impact of changes in body components, including skeletal muscle mass index (SMI), fat mass index (FMI), and waist-to-hip ratio (WHR), on SUA in a large cohort of healthy Koreans.

methodsWe analyzed 39,505 adults (24,623 men; 14,180 premenopausal and 702 postmenopausal women) who underwent health checkups in 2015-2017. Body composition was assessed using bioimpedance analysis. Participants were categorized into seven groups based on 2-year changes in SMI, FMI, and WHR (tertiles of increase, decrease, and no change). Hyperuricemia was defined as SUA ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Odds ratios (ORs) for achieving optimal SUA levels (< 6 mg/dL) and regression coefficients for SUA changes were calculated.

resultsMean SUA levels were 6.25 ± 1.21 mg/dL in men, 4.23 ± 0.88 mg/dL in premenopausal women, and 4.34 ± 0.91 mg/dL in postmenopausal women. SUA changed dose-dependently with body component: SMI increases were associated with reduced SUA (OR [95% CI] for the highest tertile = 1.45 [1.32-1.59] in men; 1.48 [1.06-2.06] in premenopausal women), while FMI and WHR increases correlated positively with SUA.

conclusionTwo-year changes in body composition significantly influenced SUA levels, particularly in men and premenopausal women. Increasing muscle mass and reducing adiposity may be associated with improved urate control in individuals with hyperuricemia or those prone to gout.

Indexed as

AdiposityHyperuricemiaMuscle, SkeletalObesityUric AcidAdultAgedBiomarkersBody CompositionFemaleHumansLongitudinal StudiesMaleMiddle AgedRepublic of KoreaRisk FactorsBiomarkersUric AcidAdipose tissueBody compositionMuscle, skeletalUric acid

Identifiers

PMID42128394
PMCPMC13172810

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.