Body composition paradox: high muscle mass and adiposity jointly predict incident chronic kidney disease in a Korean cohort.
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| Title: | Body composition paradox: high muscle mass and adiposity jointly predict incident chronic kidney disease in a Korean cohort. |
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| Authors: | Lee EY; Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital and Soonchunhyang University College of Medicine, Cheonan, Republic of Korea., Chung CH; Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea., Go TH; Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea., Koh SB; Department 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., Choi JR; Institute 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. |
| Source: | Clinics (Sao Paulo, Brazil) [Clinics (Sao Paulo)] 2026 Mar 12; Vol. 81, pp. 100879. Date of Electronic Publication: 2026 Mar 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101244734 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1980-5322 (Electronic) Linking ISSN: 18075932 NLM ISO Abbreviation: Clinics (Sao Paulo) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41825173 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Body composition paradox: high muscle mass and adiposity jointly predict incident chronic kidney disease in a Korean cohort. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lee+EY%22">Lee EY</searchLink>; Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital and Soonchunhyang University College of Medicine, Cheonan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chung+CH%22">Chung CH</searchLink>; Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Go+TH%22">Go TH</searchLink>; Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Koh+SB%22">Koh SB</searchLink>; Department 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.<br /><searchLink fieldCode="AU" term="%22Choi+JR%22">Choi JR</searchLink>; Institute 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101244734%22">Clinics (Sao Paulo, Brazil)</searchLink> [Clinics (Sao Paulo)] 2026 Mar 12; Vol. 81, pp. 100879. <i>Date of Electronic Publication: </i>2026 Mar 12. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101244734 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1980-5322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218075932%22">18075932 </searchLink><i>NLM ISO Abbreviation: </i>Clinics (Sao Paulo) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41825173 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.clinsp.2026.100879 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100879 Titles: – TitleFull: Body composition paradox: high muscle mass and adiposity jointly predict incident chronic kidney disease in a Korean cohort. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee EY – PersonEntity: Name: NameFull: Chung CH – PersonEntity: Name: NameFull: Go TH – PersonEntity: Name: NameFull: Koh SB – PersonEntity: Name: NameFull: Choi JR IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 03 Text: 2026 Mar 12 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1980-5322 Numbering: – Type: volume Value: 81 Titles: – TitleFull: Clinics (Sao Paulo, Brazil) Type: main |
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