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Predictors of weight loss in the clinical management of obese patients: The relevance of body composition

机译：肥胖患者临床治疗中体重减轻的预测因素：身体成分的相关性

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Background and aims: Bioelectrical impedance analysis (BIA) represents a simple, relatively inexpensive, highly reproducible and non invasive assessing body composition technique. Aim of the present study is to verify the clinical utility of BIA in predicting future weight loss and in evaluating Fat Mass (FM) (using DXA as a comparative method) in overweight and obese subjects. Methods: 198 patients, overweight or obese (BMI≥25 kg/m2) referring to the Outpatient Clinic of the Obesity Agency, University of Florence, were enrolled. All patients enrolled underwent an individual cognitive-behavioural program encouraging their lifestyle modification. At baseline, 3 and 6 months all subjects were also assessed with BIA using the same equipment and the same skilled operator. Results: The 198 patients were all obese (BMI 37.9±6.1 kg/m2). At 6 months, average weight loss is of 4.6±4.9 kg (-5.3±6.5% of initial weight). The percentage of patients reaching the target of 5% or more of weight loss (responder) at 6 months is 44% (n=88). At 6 months, average weight change for the successful group was -10.2±4.9% (-4.0±3.2 kg/m2 of initial BMI). When the BIA results were analyzed according to weight loss percentage, baseline Muscle Mass (MM) and Free Fat Mass (FFM) percentage showed significantly higher values in successful patients in comparison with nonresponder participants (p0.05), and baseline percentage FM reveals significantly lower values (p=0.005). Conclusion: Present data demonstrate for the first time that weight reduction could be predicted by a simple, relatively inexpensive, highly reproducible and non invasive assessing body composition technique as BIA.
机译：背景和目的：生物电阻抗分析（BIA）代表一种简单，相对便宜，可重复性高且无创的评估人体成分的技术。本研究的目的是验证超重和肥胖受试者中BIA在预测未来体重减轻和评估脂肪量（FM）（使用DXA作为比较方法）中的临床效用。方法：纳入198名超重或肥胖（BMI≥25 kg / m2）的患者，这些患者均来自佛罗伦萨大学肥胖署门诊。所有入组的患者均接受了个人的认知行为计划，以鼓励他们改变生活方式。在基线，第3和第6个月，还使用相同的设备和相同的熟练操作者对所有受试者进行了BIA评估。结果：198名患者全部肥胖（BMI 37.9±6.1 kg / m2）。在6个月时，平均体重减轻为4.6±4.9千克（初始重量的-5.3±6.5％）。在6个月内达到体重减轻（响应者）5％或更多的目标的患者百分比为44％（n = 88）。在6个月时，成功组的平均体重变化为-10.2±4.9％（初始BMI的-4.0±3.2 kg / m2）。根据体重减轻百分比分析BIA结果时，成功患者中的基线肌肉质量（MM）和游离脂肪质量（FFM）百分比与无反应者相比显着更高（p <0.05），基线FM显示较低的值（p = 0.005）。结论：现有数据首次证明，可以通过一种简单，相对便宜，可重复生产且无创的评估人体成分的技术（如BIA）来预测体重减轻。

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