A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Yousung | - |
dc.contributor.author | Kim, Nam Hoon | - |
dc.contributor.author | Kwon, Tae Yeon | - |
dc.contributor.author | Kim, Sin Gon | - |
dc.date.accessioned | 2021-09-02T03:33:24Z | - |
dc.date.available | 2021-09-02T03:33:24Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-11-13 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/71855 | - |
dc.description.abstract | We propose a new anthropometric index, weight-adjusted-waist index (WWI), to assess adiposity by standardizing waist circumference (WC) for weight. WWI, calculated as WC (cm) divided by the square root of weight (kg) (cm/root kg), was measured from 465,629 subjects in the Korean nationwide cohort (2008-2013). Cox regression analysis was used to compare WWI with BMI, WC, waist-to-height ratio (WHtR), and a body shape index (ABSI) for cardiometabolic morbidity and mortality risk in diagnostic and prognostic prediction models. For incident hypertension, type 2 diabetes and cardiovascular disease (CVD), BMI had the strongest predictive power, followed by WWI and WC. However, WWI showed the best predictive performance for CVD mortality. Also, a linear positive association between adiposity indices and cardiovascular and all-cause mortality was only shown in WWI and ABSI, not BMI, WC and WHtR which showed inverse J-shaped patterns. In the test of joint effects of each index, WWI combined with BMI was the strongest in both diagnostic and prognostic models. WWI is a unique adiposity index that shows linear positive association with both cardiometabolic morbidity and mortality. It also predicts incident cardiometabolic disease, cardiovascular and all-cause mortality risk with excellence in predictive power, especially when combined with BMI. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | NATURE PUBLISHING GROUP | - |
dc.subject | BODY-MASS INDEX | - |
dc.subject | TO-HEIGHT RATIO | - |
dc.subject | WAIST CIRCUMFERENCE | - |
dc.subject | OBESITY PARADOX | - |
dc.subject | CARDIOVASCULAR RISK | - |
dc.subject | SCREENING TOOL | - |
dc.subject | WEIGHT | - |
dc.subject | HYPERTENSION | - |
dc.subject | ASSOCIATION | - |
dc.subject | HEALTH | - |
dc.title | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Yousung | - |
dc.contributor.affiliatedAuthor | Kim, Nam Hoon | - |
dc.contributor.affiliatedAuthor | Kim, Sin Gon | - |
dc.identifier.doi | 10.1038/s41598-018-35073-4 | - |
dc.identifier.scopusid | 2-s2.0-85056479111 | - |
dc.identifier.wosid | 000449944500041 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, v.8 | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.citation.title | SCIENTIFIC REPORTS | - |
dc.citation.volume | 8 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | BODY-MASS INDEX | - |
dc.subject.keywordPlus | TO-HEIGHT RATIO | - |
dc.subject.keywordPlus | WAIST CIRCUMFERENCE | - |
dc.subject.keywordPlus | OBESITY PARADOX | - |
dc.subject.keywordPlus | CARDIOVASCULAR RISK | - |
dc.subject.keywordPlus | SCREENING TOOL | - |
dc.subject.keywordPlus | WEIGHT | - |
dc.subject.keywordPlus | HYPERTENSION | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.subject.keywordPlus | HEALTH | - |
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.