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A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality
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/√kg), was measured from 465,629 subjects in the Korean nationwide cohort (2008–...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233180/ https://www.ncbi.nlm.nih.gov/pubmed/30425288 http://dx.doi.org/10.1038/s41598-018-35073-4 |
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author | Park, Yousung Kim, Nam Hoon Kwon, Tae Yeon Kim, Sin Gon |
author_facet | Park, Yousung Kim, Nam Hoon Kwon, Tae Yeon Kim, Sin Gon |
author_sort | Park, Yousung |
collection | PubMed |
description | 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/√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. |
format | Online Article Text |
id | pubmed-6233180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62331802018-11-28 A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality Park, Yousung Kim, Nam Hoon Kwon, Tae Yeon Kim, Sin Gon Sci Rep Article 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/√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. Nature Publishing Group UK 2018-11-13 /pmc/articles/PMC6233180/ /pubmed/30425288 http://dx.doi.org/10.1038/s41598-018-35073-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Park, Yousung Kim, Nam Hoon Kwon, Tae Yeon Kim, Sin Gon A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title_full | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title_fullStr | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title_full_unstemmed | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title_short | A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
title_sort | novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233180/ https://www.ncbi.nlm.nih.gov/pubmed/30425288 http://dx.doi.org/10.1038/s41598-018-35073-4 |
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