Cargando…
Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population
BACKGROUND: There remains controversy regarding which of the anthropometric indicators best defines obesity. In this study, we compared the efficacy of using body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) in the diagnosis of obesity and assessed their associations with...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424518/ https://www.ncbi.nlm.nih.gov/pubmed/25960779 http://dx.doi.org/10.1186/s13098-015-0032-5 |
_version_ | 1782370340833329152 |
---|---|
author | Ouyang, Xiaojun Lou, Qinlin Gu, Liubao Ko, Gary T Mo, Yongzhen Wu, Haidi Bian, Rongwen |
author_facet | Ouyang, Xiaojun Lou, Qinlin Gu, Liubao Ko, Gary T Mo, Yongzhen Wu, Haidi Bian, Rongwen |
author_sort | Ouyang, Xiaojun |
collection | PubMed |
description | BACKGROUND: There remains controversy regarding which of the anthropometric indicators best defines obesity. In this study, we compared the efficacy of using body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) in the diagnosis of obesity and assessed their associations with diabetes, hypertension, and dyslipidemia in an urban working population in China. METHODS: Anthropometric measurements, blood pressure, plasma lipids, fasting and 2-hour plasma glucose (PG) levels by a 75 gram oral glucose tolerance test (OGTT) were obtained from 2603 working Chinese who had no history of cardiovascular diseases or diabetes. Cardio-metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were evaluated. The diagnoses of overweight and obesity were based on the WHO definitions with BMI for general obesity and WC and WHR for central obesity. RESULTS: Based on BMI, WC and WHR, there were 31.3%, 16.6%, 35.2% of the studied subjects, respectively, being overweight and 2.0%, 5.6%, 9.2% being obese. Among women but not men, more overweight and obese subjects were diagnosed using WHR and WC. The number of cardio-metabolic risks was higher by WC criterion than BMI and WHR in the whole group (p <0.05) and female subjects (p <0.01). Comparing the three anthropometric indexes predicting hypertension, hyperglycemia, dyslipidemia and multiple cardio-metabolic risks, for women, it was WC having the largest areas under ROC curves (0.759, 0.746, 0.701 and 0.773 respectively); while in men, it was WC for hypertension, WHR for hyperglycemia, BMI for dyslipidemia and WC for multiple cardio-metabolic risks (areas under ROC curves were 0.658, 0.686, 0.618 and 0.695 respectively). CONCLUSIONS: Among Chinese working population, the need of lower cutoff values to define overweight and obesity were observed. Central obesity indicator (WC) is the preferred measure to predict the presence of cardio-metabolic risk in Chinese female subjects. |
format | Online Article Text |
id | pubmed-4424518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44245182015-05-09 Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population Ouyang, Xiaojun Lou, Qinlin Gu, Liubao Ko, Gary T Mo, Yongzhen Wu, Haidi Bian, Rongwen Diabetol Metab Syndr Research BACKGROUND: There remains controversy regarding which of the anthropometric indicators best defines obesity. In this study, we compared the efficacy of using body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) in the diagnosis of obesity and assessed their associations with diabetes, hypertension, and dyslipidemia in an urban working population in China. METHODS: Anthropometric measurements, blood pressure, plasma lipids, fasting and 2-hour plasma glucose (PG) levels by a 75 gram oral glucose tolerance test (OGTT) were obtained from 2603 working Chinese who had no history of cardiovascular diseases or diabetes. Cardio-metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were evaluated. The diagnoses of overweight and obesity were based on the WHO definitions with BMI for general obesity and WC and WHR for central obesity. RESULTS: Based on BMI, WC and WHR, there were 31.3%, 16.6%, 35.2% of the studied subjects, respectively, being overweight and 2.0%, 5.6%, 9.2% being obese. Among women but not men, more overweight and obese subjects were diagnosed using WHR and WC. The number of cardio-metabolic risks was higher by WC criterion than BMI and WHR in the whole group (p <0.05) and female subjects (p <0.01). Comparing the three anthropometric indexes predicting hypertension, hyperglycemia, dyslipidemia and multiple cardio-metabolic risks, for women, it was WC having the largest areas under ROC curves (0.759, 0.746, 0.701 and 0.773 respectively); while in men, it was WC for hypertension, WHR for hyperglycemia, BMI for dyslipidemia and WC for multiple cardio-metabolic risks (areas under ROC curves were 0.658, 0.686, 0.618 and 0.695 respectively). CONCLUSIONS: Among Chinese working population, the need of lower cutoff values to define overweight and obesity were observed. Central obesity indicator (WC) is the preferred measure to predict the presence of cardio-metabolic risk in Chinese female subjects. BioMed Central 2015-04-24 /pmc/articles/PMC4424518/ /pubmed/25960779 http://dx.doi.org/10.1186/s13098-015-0032-5 Text en © Ouyang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ouyang, Xiaojun Lou, Qinlin Gu, Liubao Ko, Gary T Mo, Yongzhen Wu, Haidi Bian, Rongwen Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title | Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title_full | Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title_fullStr | Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title_full_unstemmed | Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title_short | Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population |
title_sort | anthropometric parameters and their associations with cardio-metabolic risk in chinese working population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424518/ https://www.ncbi.nlm.nih.gov/pubmed/25960779 http://dx.doi.org/10.1186/s13098-015-0032-5 |
work_keys_str_mv | AT ouyangxiaojun anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT louqinlin anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT guliubao anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT kogaryt anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT moyongzhen anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT wuhaidi anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation AT bianrongwen anthropometricparametersandtheirassociationswithcardiometabolicriskinchineseworkingpopulation |