Cited 12 times in
Pre-sarcopenia is associated with renal hyperfiltration independent of obesity or insulin resistance: Nationwide Surveys (KNHANES 2008-2011)
DC Field | Value | Language |
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dc.contributor.author | 강은석 | - |
dc.contributor.author | 이병완 | - |
dc.contributor.author | 이용호 | - |
dc.contributor.author | 차봉수 | - |
dc.contributor.author | 한유진 | - |
dc.date.accessioned | 2018-07-20T07:43:35Z | - |
dc.date.available | 2018-07-20T07:43:35Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0025-7974 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/160465 | - |
dc.description.abstract | Renal hyperfiltration is closely linked to cardiometabolic disorders, and it may increase the mortality risk of the general population. Despite the well-established association between cardiometabolic diseases and sarcopenia, the relationship between renal hyperfiltration and sarcopenia has not yet been assessed.This population-based, cross-sectional study used a nationally representative sample of 13,800 adults from the 2008 to 2011 Korea National Health and Nutrition Examination Survey. Renal hyperfiltration was defined as the age- and sex-specific glomerular filtration rate above the 90th percentile in subjects with normal kidney function (>60 mL/min/1.73 m). Appendicular skeletal muscle (ASM), measured by dual-energy x-ray absorptiometry, was used to assess pre-sarcopenia, which the international consensus defines as both ASM per se and ASM that was adjusted for the body mass index and the height.A total of 1402 (10.2%) participants were classified as having renal hyperfiltration. The prevalence of pre-sarcopenia ranged from 11.6% to 33.0%, by definition. Individuals with pre-sarcopenia had higher risks of renal hyperfiltration compared to those without pre-sarcopenia (10.9% vs 17.4%, P < .001; odds ratio [OR] = 1.71, 95% confidential interval [CI] = 1.48-1.99, P < .001). Multiple logistic regression analyses also demonstrated this independent association between pre-sarcopenia and renal hyperfiltration, following adjustment for confounding factors such as insulin resistance and obesity (OR = 1.84, 95% CI = 1.57-2.15, P < .001).In the general population of healthy individuals, pre-sarcopenia might be associated with renal hyperfiltration independent of obesity or insulin resistance. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | MEDICINE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Absorptiometry, Photon | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Cross-Sectional Studies | - |
dc.subject.MESH | Databases, Factual | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Glomerular Filtration Rate | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Insulin Resistance | - |
dc.subject.MESH | Kidney Diseases/diagnostic imaging | - |
dc.subject.MESH | Kidney Diseases/epidemiology | - |
dc.subject.MESH | Kidney Diseases/physiopathology | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Muscle, Skeletal/diagnostic imaging | - |
dc.subject.MESH | National Health Programs | - |
dc.subject.MESH | Obesity/diagnostic imaging | - |
dc.subject.MESH | Obesity/epidemiology | - |
dc.subject.MESH | Obesity/physiopathology | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Prodromal Symptoms | - |
dc.subject.MESH | Republic of Korea | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Sarcopenia/diagnostic imaging | - |
dc.subject.MESH | Sarcopenia/epidemiology | - |
dc.subject.MESH | Sarcopenia/physiopathology | - |
dc.subject.MESH | Young Adult | - |
dc.title | Pre-sarcopenia is associated with renal hyperfiltration independent of obesity or insulin resistance: Nationwide Surveys (KNHANES 2008-2011) | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Internal Medicine | - |
dc.contributor.googleauthor | Eugene Han | - |
dc.contributor.googleauthor | Yong-ho Lee | - |
dc.contributor.googleauthor | Byung-Wan Lee | - |
dc.contributor.googleauthor | Eun Seok Kang | - |
dc.contributor.googleauthor | Bong-Soo Cha | - |
dc.identifier.doi | 10.1097/MD.0000000000007165 | - |
dc.contributor.localId | A00068 | - |
dc.contributor.localId | A02796 | - |
dc.contributor.localId | A02989 | - |
dc.contributor.localId | A03996 | - |
dc.contributor.localId | A04311 | - |
dc.relation.journalcode | J02214 | - |
dc.identifier.eissn | 1536-5964 | - |
dc.identifier.pmid | 28658107 | - |
dc.contributor.alternativeName | Kang, Eun Seok | - |
dc.contributor.alternativeName | Lee, Byung Wan | - |
dc.contributor.alternativeName | Lee, Yong Ho | - |
dc.contributor.alternativeName | Cha, Bong Soo | - |
dc.contributor.alternativeName | Han, Eu Gene | - |
dc.contributor.affiliatedAuthor | Kang, Eun Seok | - |
dc.contributor.affiliatedAuthor | Lee, Byung Wan | - |
dc.contributor.affiliatedAuthor | Lee, Yong Ho | - |
dc.contributor.affiliatedAuthor | Cha, Bong Soo | - |
dc.contributor.affiliatedAuthor | Han, Eu Gene | - |
dc.citation.volume | 96 | - |
dc.citation.number | 26 | - |
dc.citation.startPage | e7165 | - |
dc.identifier.bibliographicCitation | MEDICINE, Vol.96(26) : e7165, 2017 | - |
dc.identifier.rimsid | 42301 | - |
dc.type.rims | ART | - |
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