Impact of the Visceral Fat Area Measured by Dual Impedance Method on the Diagnostic Components of Metabolic Diseases in a Middle-aged Japanese Population
Impact of the Visceral Fat Area Measured by Dual Impedance Method on the Diagnostic Components of Metabolic Diseases in a Middle-aged Japanese Population
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DOI：
10.2169/internalmedicine.55.6088
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发表时间：
2016-01-01
影响因子：
1.2
通讯作者：
Shimomura, Yohnosuke
中科院分区：
文献类型：
--
作者：
Sakamaki, Koji;Maejima, Yuko;Shimomura, Yohnosuke
目的探讨日本中年人群内脏脂肪面积(VFA)和皮下脂肪面积(SFA)与代谢综合征诊断指标的相关性。方法男性303例，女性345例，年龄40.0±9.4岁。结果男性VFA与腰围、HbA1c、高密度脂蛋白/低密度脂蛋白、甘油三酯、尿酸水平呈正相关，与腰围、高密度脂蛋白、甘油三酯、糖化血红蛋白呈正相关。估计的SFA与男性的收缩压、高密度脂蛋白/低密度脂蛋白胆固醇和甘油三酯以及女性的高密度脂蛋白和甘油三酯呈正相关。受试者操作特征(ROC)分析表明，估计的VFA与WC一样有效地识别患有代谢综合征的受试者。结论通过使用BCM估计VFA，可能识别出有发展为代谢综合征和高尿酸血症的风险的患者。
Objective The aim of this study was to examine the associations between the visceral fat area (VFA) and the subcutaneous fat area (SFA) as estimated by the dual impedance method with a body composition monitor (BCM) and the diagnostic components of metabolic syndrome in a middle-aged Japanese population.Methods The subjects included 303 men (average age 51.3 +/- 9.0 years old) and 345 women (average age 40.0 +/- 9.4 years old). The VFA and SFA were estimated by BCM, and the associations among the components of metabolic syndrome (waist circumference, blood pressure and related blood sample tests) were evaluated.Results VFA showed positive correlations with waist circumference, HbA1c, high-density lipoprotein (HDL)/low-density lipoprotein (LDL) cholesterol, triglyceride and uric acid level in men, while showing positive correlations with waist circumference, HDL cholesterol, triglyceride and HbA1c in women. The estimated SFA showed positive correlations with systolic blood pressure, HDL/LDL cholesterol and triglyceride in men, and HDL cholesterol and triglyceride in women. A receiver operating characteristic (ROC) analysis showed the estimated VFA to be as effective as WC to identify subject with metabolic syndrome.Conclusion By estimating the VFA using BCM, it may be possible to identify patients at risk of developing metabolic syndrome and hyperuricemia.