Single point insulin sensitivity estimator for predicting type 2 diabetes mellitus in obese adolescents
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ha, J. | - |
dc.contributor.author | Oh, Y.-R. | - |
dc.contributor.author | Kang, E. | - |
dc.contributor.author | Nam, H.-K. | - |
dc.contributor.author | Rhie, Y.-J. | - |
dc.contributor.author | Lee, K.-H. | - |
dc.date.accessioned | 2022-12-11T09:40:19Z | - |
dc.date.available | 2022-12-11T09:40:19Z | - |
dc.date.created | 2022-12-08 | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2287-1012 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/146971 | - |
dc.description.abstract | Purpose: The prevalence of adolescents with type 2 diabetes mellitus (T2DM) has rapidly increased in Korea over the past few decades with the increase in the number of obese adolescents. The single point insulin sensitivity estimator (SPISE) was recently introduced as a surrogate marker for insulin sensitivity to predict T2DM in adults. We aimed to determine risk factors for T2DM in obese adolescents, including SPISE. Methods: This retrospective study included 104 adolescents diagnosed with T2DM at Korea University Hospital between January 2010 and December 2020. We compared clinical and biochemical parameters and the SPISE of normoglycemic over wei ght and obese i ndi vi dual s wi th those of predi abeti c and di abeti c adolescents to determine risk factors for T2DM. Receiver operating characteristic analysis was performed with the Youden index to determine the cutoff point of SPISE. Results: Frequency of fatty liver and family history of T2DM were significantly higher and SPISE level was significantly lower in patients with T2DM than in normoglycemic overweight/obese and prediabetic adolescents (P<0.01). A family history of T2DM, fatty liver, and SPISE value below the cutoff point (4.49) were identified as significant risk factors for T2DM in multiple logistic regression analysis after controlling for age, sex, and body mass index standard deviation score (P<0.01). Conclusion: Family history of T2DM, fatty liver, and low SPISE (<4.49) are risk factors that can independently affect the occurrence of T2DM in obese adolescents. Among these risk factors, SPISE is a promising marker for predicting adolescent T2DM; careful monitoring of these individuals is needed to prevent progression to T2DM. © 2022 Annals of Pediatric Endocrinology & Metabolism. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | Korean society of pediatric endocrinology | - |
dc.title | Single point insulin sensitivity estimator for predicting type 2 diabetes mellitus in obese adolescents | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Nam, H.-K. | - |
dc.identifier.doi | 10.6065/apem.2142178.089 | - |
dc.identifier.scopusid | 2-s2.0-85139966621 | - |
dc.identifier.bibliographicCitation | Annals of Pediatric Endocrinology and Metabolism, v.27, no.3, pp.201 - 206 | - |
dc.relation.isPartOf | Annals of Pediatric Endocrinology and Metabolism | - |
dc.citation.title | Annals of Pediatric Endocrinology and Metabolism | - |
dc.citation.volume | 27 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 201 | - |
dc.citation.endPage | 206 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002880489 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Fatty liver | - |
dc.subject.keywordAuthor | Obese adolescents | - |
dc.subject.keywordAuthor | Single point insulin sensitivity estimator | - |
dc.subject.keywordAuthor | Type 2 diabetes mellitus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.