Chinese metabolic syndrome risk score

Fone Ching Hsiao, Chung Ze Wu, Chang Hsun Hsieh, Chih Tsueng He, Yi Jen Hung, Dee Pei

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

BACKGROUND: The metabolic syndrome (MetS) was first proposed to predict the occurrence of cardiovascular disease and type 2 diabetes. However, it is difficult to identify subjects with MetS early. No previous studies designed to develop a predictive model for MetS in the Chinese population exists; this study was designed to fill that gap. METHODS: A middle-aged Chinese cohort of 198 men and 154 women were followed for two years. The binary logistic regression and receiver operation characteristic (ROC) curve were used to develop a predictive model for the future development of MetS. RESULTS: Over two years of follow up, 30 of the 352 subjects (8.52%) without MetS at baseline subsequently developed MetS. Triglycerides (TG) had the highest area under the curve (AUC), while diastolic blood pressure had the lowest. In order to increase the prediction power, MetS components were arranged in the ROC model according to their AUC. After adding waist circumference (WC) to TG (model 1), the AUC was significantly higher than for TG alone. Adding other components into the model did not increase the AUC significantly. A risk score cutoff (0.078) was selected for the best predictive power of model 1 (sensitivity of 76.7%, specificity of 63.4%, with AUC of 76.8%). CONCLUSIONS: These results imply that WC and TG are related to the pathophysiologies of MetS, and model 1 could also be used clinically for screening subjects at high risks for MetS.

Original languageEnglish
Pages (from-to)159-164
Number of pages6
JournalSouthern Medical Journal
Volume102
Issue number2
DOIs
Publication statusPublished - Feb 2009
Externally publishedYes

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Area Under Curve
Triglycerides
Waist Circumference
Blood Pressure
Type 2 Diabetes Mellitus
Cardiovascular Diseases
Logistic Models
Sensitivity and Specificity
Population

Keywords

  • Metabolic syndrome
  • Risk score
  • Triglycerides
  • Waist circumference

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Hsiao, F. C., Wu, C. Z., Hsieh, C. H., He, C. T., Hung, Y. J., & Pei, D. (2009). Chinese metabolic syndrome risk score. Southern Medical Journal, 102(2), 159-164. https://doi.org/10.1097/SMJ.0b013e3181836b19

Chinese metabolic syndrome risk score. / Hsiao, Fone Ching; Wu, Chung Ze; Hsieh, Chang Hsun; He, Chih Tsueng; Hung, Yi Jen; Pei, Dee.

In: Southern Medical Journal, Vol. 102, No. 2, 02.2009, p. 159-164.

Research output: Contribution to journalArticle

Hsiao, FC, Wu, CZ, Hsieh, CH, He, CT, Hung, YJ & Pei, D 2009, 'Chinese metabolic syndrome risk score', Southern Medical Journal, vol. 102, no. 2, pp. 159-164. https://doi.org/10.1097/SMJ.0b013e3181836b19
Hsiao, Fone Ching ; Wu, Chung Ze ; Hsieh, Chang Hsun ; He, Chih Tsueng ; Hung, Yi Jen ; Pei, Dee. / Chinese metabolic syndrome risk score. In: Southern Medical Journal. 2009 ; Vol. 102, No. 2. pp. 159-164.
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