Cited 28 times in
The Relationship between BMI and Glycated Albumin to Glycated Hemoglobin (GA/A1c) Ratio According to Glucose Tolerance Status
DC Field | Value | Language |
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dc.contributor.author | 강은석 | - |
dc.contributor.author | 이병완 | - |
dc.contributor.author | 이현철 | - |
dc.contributor.author | 차봉수 | - |
dc.contributor.author | 허지혜 | - |
dc.contributor.author | 김광준 | - |
dc.date.accessioned | 2015-01-06T16:30:38Z | - |
dc.date.available | 2015-01-06T16:30:38Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/98241 | - |
dc.description.abstract | Glycated albumin to glycated hemoglobin (GA/A1c) ratio is known to be inversely related with body mass index (BMI) and insulin secretory capacity. However, the reasons for this association remain unknown. We aimed to investigate whether BMI directly or indirectly influences GA/A1c by exerting effects on insulin secretion or resistance and to confirm whether these associations differ according to glucose tolerance status. We analyzed a total of 807 subjects [242 drug-naïve type 2 diabetes (T2D), 378 prediabetes, and 187 normal glucose tolerance (NGT)]. To assess the direct and indirect effects of BMI on GA/A1c ratio, structural equation modeling (SEM) was performed. GA/A1c ratio was set as a dependent variable, BMI was used as the independent variable, and homeostasis model assessment-pancreatic beta-cell function (HOMA-β), homeostasis model assessment-insulin resistance (HOMA-IR), glucose level were used as mediator variables. The estimates of a direct effect of BMI on GA/A1c to be the strongest in NGT and weakest in T2D (−0.375 in NGT, −0.244 in prediabetes, and −0.189 in T2D). Conversely, the indirect effect of BMI on GA/A1c exerted through HOMA-β and HOMA-IR was not statistically significant in NGT group, but significant in prediabetes and T2D groups (0.089 in prediabetes, −0.003 in T2D). It was found that HOMA-β or HOMA-IR indirectly influences GA/A1c in T2D and prediabetes group through affecting fasting and postprandial glucose level. The relationship between GA/A1c and BMI is due to the direct effect of BMI on GA/A1c in NGT group, while in T2D and prediabetes groups, this association is mostly a result of BMI influencing blood glucose through insulin resistance or secretion. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | e89478 | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Blood Glucose | - |
dc.subject.MESH | Body Mass Index* | - |
dc.subject.MESH | Diabetes Mellitus, Type 2/blood | - |
dc.subject.MESH | Diabetes Mellitus, Type 2/metabolism | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Glucose Tolerance Test | - |
dc.subject.MESH | Glycated Hemoglobin A/metabolism* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Insulin/blood | - |
dc.subject.MESH | Insulin Resistance/physiology | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Prediabetic State/blood | - |
dc.subject.MESH | Prediabetic State/metabolism | - |
dc.subject.MESH | Serum Albumin/metabolism* | - |
dc.title | The Relationship between BMI and Glycated Albumin to Glycated Hemoglobin (GA/A1c) Ratio According to Glucose Tolerance Status | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학) | - |
dc.contributor.googleauthor | Ji Hye Huh | - |
dc.contributor.googleauthor | Kwang Joon Kim | - |
dc.contributor.googleauthor | Byung-Wan Lee | - |
dc.contributor.googleauthor | Dong Wook Kim | - |
dc.contributor.googleauthor | Eun Seok Kang | - |
dc.contributor.googleauthor | Bong Soo Cha | - |
dc.contributor.googleauthor | Hyun Chul Lee | - |
dc.identifier.doi | 10.1371/journal.pone.0089478 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00068 | - |
dc.contributor.localId | A02796 | - |
dc.contributor.localId | A03301 | - |
dc.contributor.localId | A03996 | - |
dc.contributor.localId | A04368 | - |
dc.contributor.localId | A00317 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 24586809 | - |
dc.contributor.alternativeName | Kang, Eun Seok | - |
dc.contributor.alternativeName | Lee, Byung Wan | - |
dc.contributor.alternativeName | Lee, Hyun Chul | - |
dc.contributor.alternativeName | Cha, Bong Soo | - |
dc.contributor.alternativeName | Huh, Ji Hye | - |
dc.contributor.affiliatedAuthor | Kang, Eun Seok | - |
dc.contributor.affiliatedAuthor | Lee, Byung Wan | - |
dc.contributor.affiliatedAuthor | Lee, Hyun Chul | - |
dc.contributor.affiliatedAuthor | Cha, Bong Soo | - |
dc.contributor.affiliatedAuthor | Huh, Ji Hye | - |
dc.contributor.affiliatedAuthor | Kim, Kwang Joon | - |
dc.citation.volume | 9 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | e89478 | - |
dc.identifier.bibliographicCitation | PLOS ONE, Vol.9(2) : e89478, 2014 | - |
dc.identifier.rimsid | 50741 | - |
dc.type.rims | ART | - |
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