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首页> 外文期刊>BMC Veterinary Research >DXA, bioelectrical impedance, ultrasonography and biometry for the estimation of fat and lean mass in cats during weight loss
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DXA, bioelectrical impedance, ultrasonography and biometry for the estimation of fat and lean mass in cats during weight loss

机译:DXA,生物电阻抗,超声检查和生物测定法,用于估计体重减轻期间猫的脂肪和瘦体重

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摘要

Background Few equations have been developed in veterinary medicine compared to human medicine to predict body composition. The present study was done to evaluate the influence of weight loss on biometry (BIO), bioimpedance analysis (BIA) and ultrasonography (US) in cats, proposing equations to estimate fat (FM) and lean (LM) body mass, as compared to dual energy x-ray absorptiometry (DXA) as the referenced method. For this were used 16 gonadectomized obese cats (8 males and 8 females) in a weight loss program. DXA, BIO, BIA and US were performed in the obese state (T0; obese animals), after 10% of weight loss (T1) and after 20% of weight loss (T2). Stepwise regression was used to analyze the relationship between the dependent variables (FM, LM) determined by DXA and the independent variables obtained by BIO, BIA and US. The better models chosen were evaluated by a simple regression analysis and means predicted vs. determined by DXA were compared to verify the accuracy of the equations. Results The independent variables determined by BIO, BIA and US that best correlated (p? 2 , 19 equations were selected (12 for FM, 7 for LM); however, only 7 equations accurately predicted FM and one LM of cats. Conclusions The equations with two variables are better to use because they are effective and will be an alternative method to estimate body composition in the clinical routine. For estimated lean mass the equations using body weight associated with biometrics measures can be proposed. For estimated fat mass the equations using body weight associated with bioimpedance analysis can be proposed.
机译:背景技术与人类医学相比,在兽医学中很少开发出方程来预测人体成分。本研究旨在评估体重减轻对猫的生物特征(BIO),生物阻抗分析(BIA)和超声检查(US)的影响,提出了方程来估算脂肪(FM)和瘦体重(LM),与双能X射线吸收法(DXA)作为参考方法。为此,在减肥计划中使用了16只经性腺切除术的肥胖猫(8只雄性和8只雌性)。 DXA,BIO,BIA和US在肥胖状态(T0;肥胖动物),体重减轻10%(T1)和体重减轻20%(T2)后进行。使用逐步回归分析DXA确定的因变量(FM,LM)与BIO,BIA和US获得的自变量之间的关系。通过简单的回归分析评估选择的更好模型,并比较由DXA确定的预测值与标准值,以验证方程的准确性。结果由BIO,BIA和US确定的最相关的自变量(p?2 ),选择了19个方程式(对于FM为12,对于LM为7);但是,只有7个方程式能准确预测猫的FM和一个LM结论具有两个变量的方程式比较有效,因为它们是有效的,将是临床程序中估计身体成分的另一种方法;对于估计的瘦体重,可以建议使用与生物测定法相关的体重的方程式。可以提出使用与生物阻抗分析相关的体重的方程式。

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