Department of Internal Medicine, Cardiovascular and Metabolic Disease Center, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
J Endocrinol Invest. 2012 Oct;35(9):847-52. doi: 10.3275/8235. Epub 2012 Jan 30.
The purpose of this study was to explore the difference in the pattern of metabolic syndrome (MetS) in urban and rural populations in Korea using data mining techniques.
In total, 1013 adults >30 yr of age from urban (184 males and 313 females) and rural districts (211 males and 305 females) were recruited from Gyeongsangnam-do, Korea. Modified National Cholesterol Education Program Adult Treatment Panel III criteria were used to identify individuals with MetS. We applied a decision tree analysis to elucidate the differences in the clustering of MetS components between the urban and rural populations.
The prevalence of MetS was 33.2% and 35.2% in urban and rural districts, respectively (p=0.598). The decision-tree approach revealed that the combination of high serum triglycerides (TG) + high systolic blood pressure (SBP), high TG + low HDL cholesterol, and high waist circumference (WC) + high SBP + high fasting plasma glucose (FPG) were strong predictors of MetS in the urban population, whereas the combination of TG + SBP + WC and SBP + WC + FPG showed high positive predictive value for the presence of MetS in the rural population.
Although no significant difference was found for the prevalence of MetS between the two populations, the differences in the clustering pattern of MetS components in urban and rural districts in Korea were identified by decision tree analysis. Our findings may serve as a basis to design necessary population-based intervention programs for prevention and progression of MetS and its complications in Korea.
本研究旨在利用数据挖掘技术探讨韩国城乡人群代谢综合征（MetS）模式的差异。
共纳入来自韩国庆尚南道城乡地区的 1013 名年龄>30 岁的成年人（城市组：男性 184 名，女性 313 名；农村组：男性 211 名，女性 305 名）。采用改良的美国国家胆固醇教育计划成人治疗专家组 III 标准来确定 MetS 患者。我们应用决策树分析来阐明城乡人群 MetS 成分聚类的差异。
城市和农村地区 MetS 的患病率分别为 33.2%和 35.2%（p=0.598）。决策树方法显示，血清甘油三酯（TG）+收缩压（SBP）高、TG+高密度脂蛋白胆固醇（HDL-C）低、腰围（WC）+SBP+空腹血糖（FPG）高的组合是城市人群 MetS 的强预测因素，而 TG+SBP+WC 和 SBP+WC+FPG 的组合则对农村人群 MetS 的存在具有较高的阳性预测价值。
尽管城乡人群 MetS 的患病率无显著差异，但决策树分析显示出韩国城乡地区 MetS 成分聚类模式的差异。我们的研究结果可为韩国制定基于人群的 MetS 及其并发症预防和进展的必要干预计划提供依据。
