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Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study

OBJECTIVES: Our study aimed to distinguish the ability of anthropometric indices to assess the risk of metabolic syndrome (MetS). DESIGN: Prospective cohort study. SETTING: Shenyang, China. PARTICIPANTS: A total of 379 residents aged between 40 and 65 were enrolled. 253 of them were free of MetS and...

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Autores principales: Wang, Haoyu, Liu, Aihua, Zhao, Tong, Gong, Xun, Pang, Tianxiao, Zhou, Yingying, Xiao, Yue, Yan, Yumeng, Fan, Chenling, Teng, Weiping, Lai, Yaxin, Shan, Zhongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623484/
https://www.ncbi.nlm.nih.gov/pubmed/28928179
http://dx.doi.org/10.1136/bmjopen-2017-016062
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author Wang, Haoyu
Liu, Aihua
Zhao, Tong
Gong, Xun
Pang, Tianxiao
Zhou, Yingying
Xiao, Yue
Yan, Yumeng
Fan, Chenling
Teng, Weiping
Lai, Yaxin
Shan, Zhongyan
author_facet Wang, Haoyu
Liu, Aihua
Zhao, Tong
Gong, Xun
Pang, Tianxiao
Zhou, Yingying
Xiao, Yue
Yan, Yumeng
Fan, Chenling
Teng, Weiping
Lai, Yaxin
Shan, Zhongyan
author_sort Wang, Haoyu
collection PubMed
description OBJECTIVES: Our study aimed to distinguish the ability of anthropometric indices to assess the risk of metabolic syndrome (MetS). DESIGN: Prospective cohort study. SETTING: Shenyang, China. PARTICIPANTS: A total of 379 residents aged between 40 and 65 were enrolled. 253 of them were free of MetS and had been followed up for 4.5 years. METHODS: At baseline, all the participants underwent a thorough medical examination. A variety of anthropometric parameters were measured and calculated, including waist circumference (WC), body mass index (BMI), a body shape index (ABSI), abdominal volume index (AVI), body adiposity index, body roundness index, conicity index, waist-to-hip ratio and visceral adiposity index (VAI). After 4.5 year follow-up, we re-examined whether participants were suffering from MetS. A receiver operating characteristic (ROC) curve was applied to examine the potential of the above indices to identify the status and risk of MetS. OUTCOMES: Occurrence of MetS. RESULTS: At baseline, 33.2% participants suffered from MetS. All of the anthropometric indices showed clinical significance, and VAI was superior to the other indices as it was found to have the largest area under the ROC curve. After a 4.5 year follow-up, 37.8% of men and 23.9% of women developed MetS. ROC curve analysis suggested that baseline BMI was the strongest predictor of MetS for men (0.77 (0.68–0.85)), and AVI was the strongest for women (0.72 (0.64–0.79)). However, no significant difference was observed between WC and both indices. In contrast, the baseline ABSI did not predict MetS in both genders. CONCLUSIONS: The present study indicated that these different indices derived from anthropometric parameters have different discriminatory abilities for MetS. Although WC did not have the largest area under the ROC curve for diagnosing and predicting MetS, it may remain a better index of MetS status and risk because of its simplicity and wide use.
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spelling pubmed-56234842017-10-10 Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study Wang, Haoyu Liu, Aihua Zhao, Tong Gong, Xun Pang, Tianxiao Zhou, Yingying Xiao, Yue Yan, Yumeng Fan, Chenling Teng, Weiping Lai, Yaxin Shan, Zhongyan BMJ Open Diabetes and Endocrinology OBJECTIVES: Our study aimed to distinguish the ability of anthropometric indices to assess the risk of metabolic syndrome (MetS). DESIGN: Prospective cohort study. SETTING: Shenyang, China. PARTICIPANTS: A total of 379 residents aged between 40 and 65 were enrolled. 253 of them were free of MetS and had been followed up for 4.5 years. METHODS: At baseline, all the participants underwent a thorough medical examination. A variety of anthropometric parameters were measured and calculated, including waist circumference (WC), body mass index (BMI), a body shape index (ABSI), abdominal volume index (AVI), body adiposity index, body roundness index, conicity index, waist-to-hip ratio and visceral adiposity index (VAI). After 4.5 year follow-up, we re-examined whether participants were suffering from MetS. A receiver operating characteristic (ROC) curve was applied to examine the potential of the above indices to identify the status and risk of MetS. OUTCOMES: Occurrence of MetS. RESULTS: At baseline, 33.2% participants suffered from MetS. All of the anthropometric indices showed clinical significance, and VAI was superior to the other indices as it was found to have the largest area under the ROC curve. After a 4.5 year follow-up, 37.8% of men and 23.9% of women developed MetS. ROC curve analysis suggested that baseline BMI was the strongest predictor of MetS for men (0.77 (0.68–0.85)), and AVI was the strongest for women (0.72 (0.64–0.79)). However, no significant difference was observed between WC and both indices. In contrast, the baseline ABSI did not predict MetS in both genders. CONCLUSIONS: The present study indicated that these different indices derived from anthropometric parameters have different discriminatory abilities for MetS. Although WC did not have the largest area under the ROC curve for diagnosing and predicting MetS, it may remain a better index of MetS status and risk because of its simplicity and wide use. BMJ Publishing Group 2017-09-18 /pmc/articles/PMC5623484/ /pubmed/28928179 http://dx.doi.org/10.1136/bmjopen-2017-016062 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Diabetes and Endocrinology
Wang, Haoyu
Liu, Aihua
Zhao, Tong
Gong, Xun
Pang, Tianxiao
Zhou, Yingying
Xiao, Yue
Yan, Yumeng
Fan, Chenling
Teng, Weiping
Lai, Yaxin
Shan, Zhongyan
Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title_full Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title_fullStr Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title_full_unstemmed Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title_short Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
title_sort comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in chinese adults: a prospective, longitudinal study
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623484/
https://www.ncbi.nlm.nih.gov/pubmed/28928179
http://dx.doi.org/10.1136/bmjopen-2017-016062
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