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Optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome / 中华临床营养杂志
Chinese Journal of Clinical Nutrition ; (6): 229-233, 2015.
Article in Chinese | WPRIM | ID: wpr-480281
ABSTRACT
Objective To investigate the relationship between waist-to-height ratio and metabolic syndrome,in order to identify the optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome.Methods In this cross-sectional study,we recruited 343 people who received physical examination in First Hospital of Quanzhou between January 2012 and June 2014,and collected the information of their waist circumference,height,weight,blood pressure,laboratory test results (including fasting blood glucose,2-hour glucose after oral glucose tolerance test,triglyceride,high-density lipoprotein cholesterol) and visceral fat area assessed by computed tomography.Then a receiver operating characteristic (ROC) curve analysis was used to estimate the optimal cut-off points of waist-to-height ratio for the prediction of metabolic syndrome.Results Among the 343 people,there were 195 metabolic syndrome patients,the prevalence rate was 56.8%,which was 70.2% in men (127/181) and 42.0% in women (68/162).In ROC curve analysis,the area under the curve of waist-to-height ratio for the prediction of metabolic syndrome was 0.664 for men,and 0.673 for women.The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome was 0.543 0 (sensitivity 88.2%,specificity 44.4%) for men,and 0.568 3 (sensitivity 86.8%,specificity 46.8%).Conclusion The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome in Quanzhou population is 0.543 0 for men and 0.568 3 for women.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Clinical Nutrition Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Clinical Nutrition Year: 2015 Type: Article