Cited 13 time in
Atherogenic dyslipidaemic profiles associated with the development of Type 2 diabetes: a 3.1-year longitudinal study
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Y. -C. | - |
| dc.contributor.author | Ahn, H. -Y. | - |
| dc.contributor.author | Yu, S. -H. | - |
| dc.contributor.author | Park, S. -W. | - |
| dc.contributor.author | Park, C. -Y. | - |
| dc.date.accessioned | 2024-08-08T01:31:24Z | - |
| dc.date.available | 2024-08-08T01:31:24Z | - |
| dc.date.issued | 2014-01 | - |
| dc.identifier.issn | 0742-3071 | - |
| dc.identifier.issn | 1464-5491 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/15322 | - |
| dc.description.abstract | AimsWhile there is thought to be an association between glucose and lipid metabolism, it is largely unknown whether apolipoproteinB and non-high density lipoprotein (HDL) cholesterol are associated with the development of Type2 diabetes. It is also unknown whether these atherogenic dyslipidaemic profiles have a stronger association with diabetes risk compared with conventional lipid measurements. MethodsA total of 118429 subjects without diabetes (70980 men and 47449 women), aged 17-90years (mean age 39.6years), were enrolled in this study and followed for a mean duration of 3.1years. ResultsApolipoproteinB and non-HDL cholesterol levels showed a strong association with the development of Type2 diabetes compared with conventional lipid measurements and their ratios [hazard ratio per 1sd; 1.39 (95%CI 1.37-1.42) and 1.38 (95%CI 1.35-1.40), respectively; both P<0.001]. The Kaplan-Meier survival curve demonstrated that Type2 diabetes developed more frequently as apolipoproteinB or non-HDL cholesterol levels increased across quartiles (both P<0.001). In multivariate Cox regression analyses, both apolipoproteinB and non-HDL cholesterol were associated with the development of Type2 diabetes, independent of other risk factor including age, sex, waist circumference, family history of diabetes, fasting serum glucose and insulin levels, HbA(1c), systolic blood pressure and other conventional lipid measurements [hazard ratio per 1sd; 1.14 (95%CI 1.11-1.18) and 1.13 (95%CI 1.10-1.16), respectively; both P<0.001]. ConclusionsAtherogenic dyslipidaemia was more strongly associated with the development of Type2 diabetes than conventional lipid measurements, and this effect was independent of other well-established risk factor for diabetes. | - |
| dc.format.extent | 7 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | WILEY | - |
| dc.title | Atherogenic dyslipidaemic profiles associated with the development of Type 2 diabetes: a 3.1-year longitudinal study | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1111/dme.12278 | - |
| dc.identifier.scopusid | 2-s2.0-84890219988 | - |
| dc.identifier.wosid | 000328210100006 | - |
| dc.identifier.bibliographicCitation | DIABETIC MEDICINE, v.31, no.1, pp 24 - 30 | - |
| dc.citation.title | DIABETIC MEDICINE | - |
| dc.citation.volume | 31 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 24 | - |
| dc.citation.endPage | 30 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Endocrinology & Metabolism | - |
| dc.relation.journalWebOfScienceCategory | Endocrinology & Metabolism | - |
| dc.subject.keywordPlus | APOLIPOPROTEIN-A-I | - |
| dc.subject.keywordPlus | INSULIN-RESISTANCE | - |
| dc.subject.keywordPlus | STATIN THERAPY | - |
| dc.subject.keywordPlus | RISK | - |
| dc.subject.keywordPlus | MELLITUS | - |
| dc.subject.keywordPlus | GLUCOSE | - |
| dc.subject.keywordPlus | CHOLESTEROL | - |
| dc.subject.keywordPlus | PREDICTION | - |
| dc.subject.keywordPlus | REDUCTION | - |
| dc.subject.keywordPlus | DISEASE | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK 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.
