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首页> 外文期刊>British Journal of Medicine and Medical Research >Mid Arm Circumference: An Alternate Anthropometric Index of Obesity in Type 2 Diabetes and Metabolic Syndrome
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Mid Arm Circumference: An Alternate Anthropometric Index of Obesity in Type 2 Diabetes and Metabolic Syndrome

机译:中臂围:2型糖尿病和代谢综合征的肥胖症的替代人体测量学指标。

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Aim: To evaluate alternate anthropometric index for obesity in type 2 diabetes and metabolic syndrome. Study Design: This is a cross sectional study. Place and Duration of the Study: Department of Medicine, Kasturba medical college-hospital, Mangalore, Manipal university, between January 2012 - July 2015. Methodology: We recruited 207 type 2 diabetic and 101 metabolic syndrome subjects with their age and sex matched controls. Anthropometric parameters like BMI, Waist circumference and mid arm circumference (MAC) were measured. Biochemical details were collected from case record. Results: The mean differences in anthropometric and biochemical parameters were compared between cases and controls by independent T test. MAC was correlated with clinical parameters in control subjects by Karl pearson’s correlation and multiple linear regression analysis. There was significant difference in MAC between metS and their control subjects (31.35±4.21 vs 28.04±2.86, P <.001). There was significant positive linear correlation of MAC with BMI ( P <.001), WC ( P <.05), post prandial blood sugar ( P <.05) and HbA1c ( P <.05) in controls. Further multivariate analysis after adjusting for conventional risk factors showed a significant association of MAC with BMI (β=0.611, P <.001). Conclusion: These findings show that MAC can be useful as an alternate index for obesity in South Indians.
机译:目的:评估2型糖尿病和代谢综合征肥胖的替代人体测量指标。研究设计:这是一个横断面研究。研究的地点和持续时间:2012年1月至2015年7月,在Manipal大学Mangalore的Kasturba医学院附属医院医学系。方法:我们招募了207位2型糖尿病和101名代谢综合征患者,他们的年龄和性别与对照组相匹配。测量了人体测量学参数,例如BMI,腰围和中臂围(MAC)。从病例记录中收集生化细节。结果:通过独立的T检验比较了病例和对照之间的人体测量学和生化参数的平均差异。通过卡尔·皮尔森(Karl pearson)的相关性和多元线性回归分析,将MAC与对照组的临床参数相关联。 metS和他们的控制对象之间的MAC有显着差异(31.35±4.21对28.04±2.86,P <.001)。在对照组中,MAC与BMI(P <.001),WC(P <.05),餐后血糖(P <.05)和HbA1c(P <.05)呈显着正线性相关。调整常规危险因素后,进一步的多变量分析显示MAC与BMI显着相关(β= 0.611,P <.001)。结论:这些发现表明,MAC可作为南印度人肥胖的替代指标。

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