Je Youjin, Kim Youngyo, Park Taeyoung
Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea. Email:
Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
Asia Pac J Clin Nutr. 2017 Mar;26(2):220-226. doi: 10.6133/apjcn.012016.02.
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.
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).
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.
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.
需要有简单的风险评分来识别代谢综合征（MetS）高危个体。因此，本研究旨在开发并验证非肥胖韩国成年人MetS风险的自我评估评分。
使用2007 - 2009年第四次韩国国民健康与营养检查调查（KNHANES IV）的数据来开发MetS风险评分。我们纳入了总共5508名年龄在19 - 64岁之间的非肥胖参与者，他们自我报告无糖尿病、高脂血症、高血压、中风、心绞痛或癌症诊断。多变量逻辑回归模型系数用于为每个变量类别分配一个分数。在2010年和2011年进行的独立人群调查KNHANES V（n = 3892）中评估该评分的有效性。
年龄、体重指数、身体活动、吸烟、饮酒、乳制品消费、低盐饮食习惯和粮食不安全状况被选为分类变量。MetS风险评分值从0到13不等，根据最高约登指数选择MetS风险评分切点为≥7。该切点的敏感性为81%，特异性为61%，阳性预测值为14%，阴性预测值为98%，曲线下面积（AUC）为0.78。在验证数据集中获得了一致的结果。
这个简单的风险评分可用于在非肥胖韩国成年人中无需实验室检测就能识别MetS高危个体。需要进一步研究以验证该评分在各种环境中的实用性和可行性。
