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The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea

BACKGROUND: In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Kore...

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Autores principales: Chung, Wankyo, Park, Jung Hwan, Chung, Hye Soo, Yu, Jae Myung, Moon, Shinje, Kim, Dong Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Diabetes Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834836/
https://www.ncbi.nlm.nih.gov/pubmed/31237130
http://dx.doi.org/10.4093/dmj.2018.0169
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author Chung, Wankyo
Park, Jung Hwan
Chung, Hye Soo
Yu, Jae Myung
Moon, Shinje
Kim, Dong Sun
author_facet Chung, Wankyo
Park, Jung Hwan
Chung, Hye Soo
Yu, Jae Myung
Moon, Shinje
Kim, Dong Sun
author_sort Chung, Wankyo
collection PubMed
description BACKGROUND: In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Korean representative sample. METHODS: Data were collected from the Korea National Health and Nutrition Examination VI to V. The association between CVD and obesity indices was analyzed using a receiver operating characteristic curve. The cut-off value for the LBSIZ was estimated using the Youden index, and the odds ratio (OR) for CVD was determined via multivariate logistic regression analysis. ORs according to the LBSIZ value were analyzed using restricted cubic spline regression plots. RESULTS: A total of 31,227 Korean healthy adults were analyzed. Area under the curve (AUC) of LBSIZ against CVD was 0.686 (95% confidence interval [CI], 0.671 to 0.702), which was significantly higher than the AUC of BMI (0.583; 95% CI, 0.567 to 0.599) or WC (0.646; 95% CI, 0.631 to 0.661) (P<0.001). Similar results were observed for stroke and coronary artery diseases. The cut-off value for the LBSIZ was 0.35 (sensitivity, 64.5%; specificity, 64%; OR, 1.29, 95% CI, 1.12 to 1.49). Under restricted cubic spline regression, LBSIZ demonstrated that OR started to increase past the median value. CONCLUSION: The findings of this study suggest that the LBSIZ might be more strongly associated with CVD risks compared to BMI or WC. These outcomes would be helpful for CVD risk assessment in clinical settings, especially the cut-off value of the LBSIZ suggested in this study.
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spelling pubmed-68348362019-11-13 The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea Chung, Wankyo Park, Jung Hwan Chung, Hye Soo Yu, Jae Myung Moon, Shinje Kim, Dong Sun Diabetes Metab J Original Article BACKGROUND: In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Korean representative sample. METHODS: Data were collected from the Korea National Health and Nutrition Examination VI to V. The association between CVD and obesity indices was analyzed using a receiver operating characteristic curve. The cut-off value for the LBSIZ was estimated using the Youden index, and the odds ratio (OR) for CVD was determined via multivariate logistic regression analysis. ORs according to the LBSIZ value were analyzed using restricted cubic spline regression plots. RESULTS: A total of 31,227 Korean healthy adults were analyzed. Area under the curve (AUC) of LBSIZ against CVD was 0.686 (95% confidence interval [CI], 0.671 to 0.702), which was significantly higher than the AUC of BMI (0.583; 95% CI, 0.567 to 0.599) or WC (0.646; 95% CI, 0.631 to 0.661) (P<0.001). Similar results were observed for stroke and coronary artery diseases. The cut-off value for the LBSIZ was 0.35 (sensitivity, 64.5%; specificity, 64%; OR, 1.29, 95% CI, 1.12 to 1.49). Under restricted cubic spline regression, LBSIZ demonstrated that OR started to increase past the median value. CONCLUSION: The findings of this study suggest that the LBSIZ might be more strongly associated with CVD risks compared to BMI or WC. These outcomes would be helpful for CVD risk assessment in clinical settings, especially the cut-off value of the LBSIZ suggested in this study. Korean Diabetes Association 2019-10 2019-04-26 /pmc/articles/PMC6834836/ /pubmed/31237130 http://dx.doi.org/10.4093/dmj.2018.0169 Text en Copyright © 2019 Korean Diabetes Association http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chung, Wankyo
Park, Jung Hwan
Chung, Hye Soo
Yu, Jae Myung
Moon, Shinje
Kim, Dong Sun
The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title_full The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title_fullStr The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title_full_unstemmed The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title_short The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
title_sort association between z-score of log-transformed a body shape index and cardiovascular disease in korea
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834836/
https://www.ncbi.nlm.nih.gov/pubmed/31237130
http://dx.doi.org/10.4093/dmj.2018.0169
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