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Erschienen in: European Journal of Nutrition 1/2012

01.02.2012 | Original Contribution

Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over

verfasst von: Yan-Hong He, Ying-Chun Chen, Guo-Xin Jiang, Hong-Er Huang, Rui Li, Xiao-Ying Li, Guang Ning, Qi Cheng

Erschienen in: European Journal of Nutrition | Ausgabe 1/2012

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Abstract

Background

The prevalence of metabolic syndrome (MetS) is increasing worldwide with a marked impact in cardiovascular disease (CVD) and diabetes risk.

Aim of the study

To evaluate the anthropometric indices for metabolic syndrome (MetS) and determine the optimal cut-off values of waist circumference (WC), body mass index (BMI), and waist height ratio (WHtR) for MetS in Chinese adults aged 40 years and over.

Methods

A sample of Chinese adults aged 40 years and over including 430 men and 638 women was investigated. Blood pressure, weight, height, and WC were measured; HDL-cholesterol (HDL-C), Triglyceride (TG), and plasma glucose were examined. Receiver operating characteristics (ROC) curve analyses were used to evaluate the optimal cut-off point of WC, BMI, and WHtR for MetS.

Results

According to the ROC curve analysis, the optimal cut-off point for WC was found to be 84.0 cm in men and 80.0 cm in women; for BMI, it was 26.0 in men and 25.0 in women; and for WHtR, it was 0.5 in both men and women. WHtR has the highest predictive value for fast plasma glucose in women, while BMI has the better prediction of dyslipidemia in men.

Conclusions

Anthropometric indices (WC, BMI, and WHtR) are useful screening tools for obesity, MetS, and CVD risk factors. BMI may be a better indicator than the others for screening obesity, dyslipidemia, and other risk components in Chinese men aged 40 years and over, while WHtR may be better for Chinese women, especially among those aged 70 years and over.
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Metadaten
Titel
Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over
verfasst von
Yan-Hong He
Ying-Chun Chen
Guo-Xin Jiang
Hong-Er Huang
Rui Li
Xiao-Ying Li
Guang Ning
Qi Cheng
Publikationsdatum
01.02.2012
Verlag
Springer-Verlag
Erschienen in
European Journal of Nutrition / Ausgabe 1/2012
Print ISSN: 1436-6207
Elektronische ISSN: 1436-6215
DOI
https://doi.org/10.1007/s00394-011-0195-2

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