Risk factor of metabolic syndrome in Javanese population based on determinants of anthropometry and metabolic measurement

R. Mus, A. Sadewa, P. Hastuti, Anggelia Puspasari, C. Maharani, I. Setyawati
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Abstract

The prevalence of metabolic syndrome (MetS) is high worldwide which it can increase the risk of some diseases such as cardiovascular disease, type 2 diabetes mellitus even mortality. The prevalence pattern and determinants of MetS risk factors might differ among ethnics in Indonesia. This study aimed to determine the anthropometry and metabolic measurements determinants to predict the MetS prevalence of the Javanese population in Yogyakarta. It was a case control study conducted from December 2018 to March 2019 involving 214 Javanese subjects aged 20-74 years resided in Yogyakarta Special Region, Indonesia. NCEP ATP III criteria were used to identify MetS as case and not diagnosed with MetS as control. The results showed that BMI, WC, BP, total cholesterol and HDL-C were significantly different between MetS and non MetS patients (p 5 by 9.54 time. In conclusion, WHtR is a better marker for MetS prediction independently. However, the WHtR in combination with WC and total cholesterol/HDL-C ratio are better for MetS prediction in the Javanese population.
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基于人体测量和代谢测量决定因素的爪哇人群代谢综合征危险因素研究
代谢综合征(MetS)在世界范围内的发病率很高,它可以增加心血管疾病、2型糖尿病甚至死亡的风险。印度尼西亚不同种族的met危险因素的流行模式和决定因素可能不同。本研究旨在确定人体测量和代谢测量决定因素,以预测日惹爪哇人口的MetS患病率。这是一项于2018年12月至2019年3月进行的病例对照研究,涉及214名居住在印度尼西亚日惹特区的年龄在20-74岁的爪哇人。使用NCEP ATP III标准确定met为病例,不诊断为met作为对照。结果表明:BMI、WC、BP、总胆固醇、HDL-C在met组与非met组间差异有统计学意义(p = 5, p = 9.54)。综上所述,WHtR是独立预测MetS的较好指标。然而,WHtR结合WC和总胆固醇/HDL-C比值对爪哇人群的MetS预测效果更好。
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