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[Evaluation of abdominal visceral obesity from anthropometric parameters using receiver operating characteristic curves].

Weiping Jia, Junxi Lu, Kun‐san Xiang, Yuqian Bao, Huijuan Lu, Lei Chen

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Abstract

OBJECTIVE: To evaluate the best cut-off point, sensitivity and specificity of body mass index (BMI), waist circumference (WC) and Waist-to-hip ratio (WHR) in predicting of abdominal visceral obesity. METHODS: Abdominal visceral fat area (VA) was measured with magnetic resonance image (MRI) in 690 subjects (men: 305, women: 385). Meanwhile, BMI, WC, WHR were assessed. Receiver operating characteristic (ROC) curve was used as index for analysis. RESULTS: 1) 61.7% of over-weight/obesity (OW/OB) and 14.2% of normal weight (NW) individuals were abdominal visceral obesity (VA >/= 100 cm(2)) by MRI diagnosis. 2) VA was significantly positively correlated with anthropometric variables (BMI, WC, WHR), in which WC was the best (r = 0.73 - 0.77, P < 0.001). 3) The best cut-off points of these anthropometric parameters in assessing abdominal visceral obesity were as follow: BMI: 26 kg/m(2), WC: 90 cm, WHR: 0.93. Among them WC showed most sensitive and specific. 4) 95% men and 90% women appeared abdominal visceral obesity in subjects with BMI >/= 28 kg/m(2) or WC >/= 95 cm. CONCLUSION: BMI, WC, WHR can all predict abdominal visceral obesity, with WC the best.

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What this paper is about

OBJECTIVE: To evaluate the best cut-off point, sensitivity and specificity of body mass index (BMI), waist circumference (WC) and Waist-to-hip ratio (WHR) in predicting of abdominal visceral obesity. METHODS: Abdominal visceral fat area (VA) was measured with magnetic resonance image (MRI) in 690 subjects (men: 305, women: 385). Meanwhile, BMI, WC, WHR were assessed. Receiver operating characteristic (ROC) curve was used as index for analysis. RESULTS: 1) 61.7% of over-weight/obesity (OW/OB) and 14.2% of normal weight (NW) individuals were abdominal visceral obesity (VA >/= 100 cm(2)) by MRI diagnosis. 2) VA was significantly positively correlated with anthropometric variables (BMI, WC, WHR), in which WC was the best (r = 0.73 - 0.77, P < 0.001). 3) The best cut-off points of these anthropometric parameters in assessing abdominal visceral obesity were as follow: BMI: 26 kg/m(2), WC: 90 cm, WHR: 0.93. Among them WC showed most sensitive and specific. 4) 95% men and 90% women appeared abdominal visceral obesity in subjects with BMI >/= 28 kg/m(2) or WC >/= 95 cm. CONCLUSION: BMI, WC, WHR can all predict abdominal visceral obesity, with WC the best.

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Available abstract

OBJECTIVE: To evaluate the best cut-off point, sensitivity and specificity of body mass index (BMI), waist circumference (WC) and Waist-to-hip ratio (WHR) in predicting of abdominal visceral obesity. METHODS: Abdominal visceral fat area (VA) was measured with magnetic resonance image (MRI) in 690 subjects (men: 305, women: 385). Meanwhile, BMI, WC, WHR were assessed. Receiver operating characteristic (ROC) curve was used as index for analysis. RESULTS: 1) 61.7% of over-weight/obesity (OW/OB) and 14.2% of normal weight (NW) individuals were abdominal visceral obesity (VA >/= 100 cm(2)) by MRI diagnosis. 2) VA was significantly positively correlated with anthropometric variables (BMI, WC, WHR), in which WC was the best (r = 0.73 - 0.77, P < 0.001). 3) The best cut-off points of these anthropometric parameters in assessing abdominal visceral obesity were as follow: BMI: 26 kg/m(2), WC: 90 cm, WHR: 0.93. Among them WC showed most sensitive and specific. 4) 95% men and 90% women appeared abdominal visceral obesity in subjects with BMI >/= 28 kg/m(2) or WC >/= 95 cm. CONCLUSION: BMI, WC, WHR can all predict abdominal visceral obesity, with WC the best.

Key concepts: Waist, Medicine, Abdominal obesity, Body mass index, Receiver operating characteristic, Anthropometry, Obesity, Waist–hip ratio

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