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We performed a receiver operator characteristic (ROC) curve analysis of 3915 men and 2032 women. Subjects who were diagnosed with two or more factors among high blood pressure, hyperglycaemia or high triglyceride and/or low HDL were classified as the metabolic syndrome group. By performing a ROC curve analysis, we have determined the cut-off point of waist circumference (WC) and BMI to define metabolic syndrome and further calculated the sensitivity and specificity of these two factors for the diagnosis. Cut-off point for the diagnosis of metabolic syndrome was 85 cm (men) and 80 cm (women) in WC and 24 (men) and 23 (women) in BMI. By combining these two factors, the sensitivity for the diagnosis increased to more than 80%. We conclude that it is beneficial to combine both WC and BMI for diagnosis of metabolic syndrome.


Journal article


Endocr J

Publication Date





1079 - 1082


Adult, Body Mass Index, Diagnostic Techniques, Endocrine, Female, Humans, Japan, Male, Metabolic Syndrome, Middle Aged, Obesity, Abdominal, Predictive Value of Tests, ROC Curve, Reference Values, Risk Factors, Sensitivity and Specificity, Sex Characteristics, Waist Circumference