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Clinically Significant Cut-off Value of the KS-15 for the Risk of Metabolic Syndrome: Using the Korean Medicine Daejeon Citizen Cohort (KDCC) Study

  • Journal of Sasang Constitution and Immune Medicine
  • Abbr : J Sasang Constitut Med
  • 2022, 34(4), pp.27-37
  • Publisher : The Society of Sasang Constitution and Immune Medicine
  • Research Area : Medicine and Pharmacy > Korean Medicine
  • Received : September 5, 2022
  • Accepted : September 27, 2022
  • Published : December 31, 2022

Eun Kyoung Ahn 1 Siwoo Lee 1 Ji-Eun Park 1

1한국한의학연구원 한의약데이터부

Accredited

ABSTRACT

Objectives The purpose of this study is to propose a method to more specifically identify Sasang constitutional risk factors of metabolic syndromes by adjusting the cut-off value of Korea Sasang Constitutional Diagnostic Questionnaire (KS-15). Methods Data of 1997 participants in Korean medicine Daejeon Citizen Cohort study (KDCC) were analyzed. Metabolic syndrome was defined according to the NCEP-ATP III, lifestyle information, and hematologic information including KS-15 and demographic characteristics were used as covariates. Results The 179 subjects with metabolic syndrome accounted for 9.0% of the total. As a result of determining the Sasang constitution for the KS-15 response based on the cut-off values (approximate 0.33), 0.5, and 0.6 of the constitutional score, when performed at the 0.6 cut-off model, the odds ratio of TE was 2.46 which showed a statistically significantly higher risk than the borderline group. For the accuracy of the model and the Area under the curve (AUC), the model accuracy based on the original cut-off of the KS-15 was 0.902 and AUC was 0.737. The accuracy of the model with cut-off of 0.5 and with of 0.6 were 0.904 and 0.902, respectively, and the AUCs were 0.687 and 0.741, respectively. Conclusion In this study, we confirmed that it is effective to increase the cut-off value of KS-15 to 0.6 in the metabolic syndrome risk model. It is expected that this could increase the accuracy of identifying high-risk groups for metabolic syndrome.

Citation status

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