Cited 90 times in
Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome
DC Field | Value | Language |
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dc.contributor.author | 이용제 | - |
dc.contributor.author | 손다혜 | - |
dc.contributor.author | 이혜선 | - |
dc.date.accessioned | 2022-12-22T01:41:33Z | - |
dc.date.available | 2022-12-22T01:41:33Z | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 0939-4753 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191303 | - |
dc.description.abstract | Background and aims: Insulin resistance is related closely to metabolic syndrome (MetS). The homeostasis model assessment of insulin resistance (HOMA-IR) is the most commonly used insulin resistance index, but the triglyceride-glucose (TyG) index has been suggested as a reliable alternative insulin resistance index. This study aims to compare the predictive powers of TyG index and HOMA-IR for the prevalence and incidence of MetS in a large, community-based, prospective cohort over 12 years of follow-up. Methods and results: Data from 9730 adults with or without MetS at baseline, 6091 adults without MetS who were followed as part of the Korean Genome and Epidemiology Study were analyzed. Receiver-operating-characteristic (ROC) curves and time-dependent ROC curves were performed to compare the areas under the ROC curve (AUROC) of the TyG index and HOMA-IR for predicting the prevalence and incidence of MetS. The optimal cut-off points were calculated. Cox proportional hazard spline curves were used to verify dose-response relationship between TyG index/HOMA-IR and incident MetS. TyG index showed higher predictive power for prevalent MetS than HOMA-IR (0.837 vs. 0.680, p < 0.001). The AUROC for incident MetS of TyG index and HOMA-IR was 0.654 (0.644-0.664) and 0.556 (0.531-0.581), respectively (p < 0.001). Cut-off points of TyG index and HOMA-IR for predicting the prevalence of MetS were 8.718 and 1.8 and for predicting incident MetS were 8.518 and 1.5, respectively. Both TyG index and HOMA-IR had a linear relationship with incident MetS. Conclusions: TyG index is superior to HOMA-IR for predicting MetS. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.relation.isPartOf | NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Biomarkers | - |
dc.subject.MESH | Blood Glucose | - |
dc.subject.MESH | Glucose | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Incidence | - |
dc.subject.MESH | Insulin Resistance* | - |
dc.subject.MESH | Metabolic Syndrome* / diagnosis | - |
dc.subject.MESH | Metabolic Syndrome* / epidemiology | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Triglycerides | - |
dc.title | Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Family Medicine (가정의학교실) | - |
dc.contributor.googleauthor | Da-Hye Son | - |
dc.contributor.googleauthor | Hye Sun Lee | - |
dc.contributor.googleauthor | Yong-Jae Lee | - |
dc.contributor.googleauthor | Jun-Hyuk Lee | - |
dc.contributor.googleauthor | Jee-Hye Han | - |
dc.identifier.doi | 10.1016/j.numecd.2021.11.017 | - |
dc.contributor.localId | A02982 | - |
dc.contributor.localId | A05543 | - |
dc.contributor.localId | A03312 | - |
dc.relation.journalcode | J02400 | - |
dc.identifier.eissn | 1590-3729 | - |
dc.identifier.pmid | 35090800 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0939475321005597?via%3Dihub | - |
dc.subject.keyword | HOMA-IR | - |
dc.subject.keyword | Insulin resistance | - |
dc.subject.keyword | Metabolic syndrome | - |
dc.subject.keyword | Prospective cohort study | - |
dc.subject.keyword | TyG index | - |
dc.contributor.alternativeName | Lee, Yong Jae | - |
dc.contributor.affiliatedAuthor | 이용제 | - |
dc.contributor.affiliatedAuthor | 손다혜 | - |
dc.contributor.affiliatedAuthor | 이혜선 | - |
dc.citation.volume | 32 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 596 | - |
dc.citation.endPage | 604 | - |
dc.identifier.bibliographicCitation | NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, Vol.32(3) : 596-604, 2022-03 | - |
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