Background and Objectives: There is a need for simple risk scores that identify individuals at high risk for metabolic syndrome (MetS). Therefore, this study was performed to develop and validate a self-assessment score for MetS risk in non-obese Korean adults. Methods and Study Design: Data from the fourth Korea National Health and Nutrition Examination Survey (KNHANES IV), 2007-2009 were used to develop a MetS risk score. We included a total of 5,508 non-obese participants aged 19-64 years who were free of a self-reported diagnosis of diabetes, hyperlipidemia, hypertension, stroke, angina, or cancer. Multivariable logistic regression model coefficients were used to assign each variable category a score. The validity of the score was assessed in an independent population survey performed in 2010 and 2011, KNHANES V (n=3,892). Results: Age, BMI, physical activity, smoking, alcohol consumption, dairy consumption, dietary habit of eating less salty and food insecurity were selected as categorical variables. The MetS risk score value varied from 0 to 13, and a cut-point MetS risk score of ≥7 was selected based on the highest Youden index. The cut-point provided a sensitivity of 81%, specificity of 61%, positive predictive value of 14%, and negative predictive value of 98%, with an area under the curve (AUC) of 0.78. Consistent results were obtained in the validation data sets. Conclusions: This simple risk score may be used to identify individuals at high risk for MetS without laboratory tests among non-obese Korean adults. Further studies are needed to verify the usefulness and feasibility of this score in various settings.
Bibliographical noteFunding Information:
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014R1A1A1002736, NRF-2015R1A1A1A05001362). The funding source had no role in the conception and design of the study, planning and conduct of the analyses, or writing of the manuscript.
All Science Journal Classification (ASJC) codes
- Medicine (miscellaneous)
- Nutrition and Dietetics