title: Development of a self-assessment score for metabolic syndrome risk in non-obese Korean adults.
abstract: OBJECTIVE
  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
  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.
authors.affiliation: Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea. Email: youjinje@khu.ac.kr.
authors.forename: Youjin
authors.initials: Y
authors.lastname: Je
authors.affiliation: Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
authors.forename: Youngyo
authors.initials: Y
authors.lastname: Kim
authors.affiliation: Department of Applied Statistics, Yonsei University, Seoul, South Korea.
authors.forename: Taeyoung
authors.initials: T
authors.lastname: Park
mesh_terms: D000328:Adult; D000428:Alcohol Drinking; D015992:Body Mass Index; D003611:Dairy Products; D004032:Diet; D015444:Exercise; D005260:Female; D005523:Food Supply; D006801:Humans; D008019:Life Style; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D009749:Nutrition Surveys; D056910:Republic of Korea / Q000453:epidemiology; D012307:Risk Factors; D012647:Self-Assessment; D012680:Sensitivity and Specificity; D012907:Smoking