Evidence map›Paper›PMID 41825173›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Body composition paradox: high muscle mass and adiposity jointly predict incident chronic kidney disease in a Korean cohort.

Eun Young Lee, Choon Hee Chung, Tae Hwa Go, Sang Baek Koh, Jung Ran Choi

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eun Young LeeDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital and Soonchunhyang University College of Medicine, Cheonan, Republic of Korea.
Choon Hee ChungDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Tae Hwa GoCenter of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Sang Baek KohDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Institute of Genomic Cohort, Yonsei University Wonju College of Medicine, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Republic of Korea.
Jung Ran ChoiInstitute of Genomic Cohort, Yonsei University Wonju College of Medicine, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Republic of Korea. Electronic address: christinae@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes, hypertension, and obesity are common traditional risk factors for Chronic Kidney Disease (CKD). In this population-based longitudinal study, the authors identified risk factors associated with CKD development.

methodA total of 6,238 Korean adults aged 40- to 69-years without baseline CKD were included. Among them, 4,057 participants with baseline estimated Glomerular Filtration Rate (eGFR) measurements were analyzed. Logistic regression models were used to evaluate significant predictors of CKD.

resultsOver a 10-year follow-up period, CKD developed in 354 subjects (8.7 %). Leptin levels were significantly higher in participants who developed CKD compared to those who did not (8.89 ± 8.00 vs. 6.44 ± 5.52, p < 0.001). After adjusting for confounding factors, logistic regression analysis indicated that participants in the highest quartile of muscle mass were 2.314-times more likely to develop CKD compared to those in the lowest quartile (Odds Ratio [OR = 2.314]; 95 % Confidence Interval [95 % CI: 1.372-3.902]; p = 0.014). In multivariable-adjusted models, the OR for incident CKD when comparing the lowest to the highest quartiles of body fat was 2.166 in men; however, the significance disappeared after adjusting for eGFR. Among women, higher leptin levels and lower adiponectin levels were independently associated with incident CKD (p = 0.003 and p = 0.038, respectively), regardless of traditional CKD risk factors. Furthermore, compared to subjects without CKD, those with metabolic syndrome had an OR (95 % CI) of 5.256 (2.813-9.820) for incident CKD after controlling for confounding factors.

conclusionThese findings suggest that muscle mass and body fat may serve as better predictors of incident CKD.

Indexed as

AdipokinesAnalysisBioelectrical impedanceChronic kidney diseaseCohort studyKorean genome and epidemiology study (KoGES)Sarcopenic obesity

Identifiers

PMID41825173
PMCPMC12997199

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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 OpenQuestion graph.