Low prevalence of metabolic syndrome and its prediction in Japanese inpatients with schizophrenia
Article first published online: 8 MAR 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Human Psychopharmacology: Clinical and Experimental
Volume 28, Issue 2, pages 188–191, March 2013
How to Cite
Suzuki, Y., Sugai, T., Fukui, N., Watanabe, J., Ono, S., Tsuneyama, N., Saito, M. and Someya, T. (2013), Low prevalence of metabolic syndrome and its prediction in Japanese inpatients with schizophrenia. Hum. Psychopharmacol. Clin. Exp., 28: 188–191. doi: 10.1002/hup.2295
- Issue published online: 27 MAR 2013
- Article first published online: 8 MAR 2013
- Manuscript Accepted: 17 JAN 2013
- Manuscript Revised: 26 DEC 2012
- Manuscript Received: 30 OCT 2012
- ROC curve;
- healthy control
There have so far been few papers studying the metabolic syndrome (MetS) prevalence rate in Japanese patients with schizophrenia. We studied the MetS prevalence rate in Japanese controls and inpatients with schizophrenia and compared the prediction factors for the occurrence of MetS.
The subjects were 319 inpatients with schizophrenia and 154 controls. The predictive utilities of body mass index (BMI) and the individual components of MetS for MetS diagnosis were evaluated.
The prevalence of MetS did not differ between schizophrenia and control subjects. Subjects with schizophrenia showed higher prevalences of the MetS criteria for high-density lipoprotein cholesterol (HDL) (p < 0.001) and waist circumference (WC) (p < 0.001). In subjects with schizophrenia, the predictive power was found to be highest for HDL, followed by WC, BMI, triglyceride, diastolic blood pressure (BP), systolic BP and fasting plasma glucose. However, in control subjects, the predictive power was found to be highest for triglyceride, followed by WC, systolic BP, BMI, HDL, diastolic BP and fasting plasma glucose. HDL was the component most predictive of MetS in subjects with schizophrenia treated with antipsychotics.
Because, in normal clinical practice, it is difficult to obtain temporal measurements for all of the MetS criteria, measurement of HDL may be useful for predicting the MetS. Copyright © 2013 John Wiley & Sons, Ltd.