|Shuto H1,2*, Shuto Y1, Shuto Shi1, Shuto C1, Inoue T1, Nishikata H1, Tokutake E2, Sakai H2, Otsu H2, Aida K2, Morino K2, Aoki N2, Kiyomatsu Y2, Ohba T2, Matsuo H3, Inukai T4 and Suzuki H5|
|1Medical Corporation Kenshinkai, Japan|
|2Working group for lifestyle related disease in Saitama, Japan|
|3Matsuo Clinic for cardiology, Tokyo, Japan|
|4Department of Internal Medicine, Koshigaya Hospital, Dokkyo Medical University, Mibu, Tochigi, Japan|
|5Department of nephrology, Saitama Medical University, Japan|
|Corresponding Author :||Hiroshi Shito
Chairman and Director
Medical Corporation Kenshinkai and
Minami-Koshiagya Kenshinkai Clinic,1-304-1
Shichizacho, Koshigaya 343-0851, Saitama, Japan
E-mail: [email protected]
|Received: October 12, 2015 Accepted: October 19, 2015 Published: October 21, 2015|
|Citation: Shuto H, Shuto Y, Shuto S, Shuto C, Inoue T, et al. (2015) Assessment of Waist Circumference Index as a New Screening Parameter for Pre-Metabolic Syndrome. J Health Edu Res Dev 3:139. doi:10.4172/2380-5439.1000139|
|Copyright: © 2015 Hiroshi S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
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Aim: The concept of metabolic syndrome (MetS) is useful in encouraging modification of patient’s lifestyle. In order to detect prophase in MetS (pre-MetS), we evaluated waist circumference index (WCI) that was calculated by division of waist circumference (WC) by height in meter squared.
Methods: A multiple logistic regression analysis was performed a the prevalence of risk factors for MetS (high blood pressure, abnormal lipid metabolism, high blood glucose) and age, WC, body mass index, WCI and intraabdominal fat area (IAFA) in 111 subjects in whom IAFA was measured at umbilicus level by CT scan.
Results: WCI was the second most strongly correlated factor with the prevalence of risk factors after IAFA in terms of P values, and according to the odds ratios WCI was the most significantly correlated.
Conclusion: The results suggested that the WCI might be capable of serving as an index that can substitute for a CT scan as a means of detecting pre-MetS.
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