腹部生物电阻抗用于节食者的随访:一项前瞻性研究。

Y. Bozkuş, U. Mousa, C. Demir, C. Anil, A. Kut, O. Iyidir, N. Kırnap, S. Fırat, A. Nar, N. B. Tütüncü
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引用次数: 3

摘要

内脏脂肪组织(VAT)是碳水化合物代谢紊乱的一个强有力的预测指标。腹部生物电阻抗分析(a - bia)是一种简便的测量VAT的方法,在腹部肥胖的筛查和随访中有很好的应用前景。然而,A-BIA在节食个体中的作用尚未在纵向随访研究中得到充分评价。目的本研究的目的是确定A-BIA在确定饮食和/或运动治疗后代谢预测因子变化中的作用。所有寻求减肥治疗的患者都进行了基线评估,并制定了饮食计划。平均随访3.2个月后,对数据进行分析。最终,103名报告坚持这种饮食的参与者参加了这项研究。我们使用相关性和多元线性回归分析测试了身体成分测量变化和实验室测量变化之间的关联。结果平均体重减轻3.4±2.8 kg。除腰臀比外,低密度脂蛋白胆固醇和高密度脂蛋白胆固醇水平均发生显著变化(p<0.001)。体重、体重指数(BMI)和VAT水平的降低与空腹血糖、空腹胰岛素水平和HOMA-IR评分的降低显著相关(r=0.230-0.371)。在多元线性回归分析中,BMI和VAT的变化与HOMA-IR评分的变化呈显著相关(F(7.93)=2.283, p=0.034, R2=0.147)。结论A-BIA测定的BMI和VAT下降是代谢实验室指标变化的预测指标。A-BIA对于接受减肥饮食治疗的患者的随访是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABDOMINAL BIOELECTRIC IMPEDANCE FOR FOLLOW-UP OF DIETERS: A PROSPECTIVE STUDY.
Context Visceral adipose tissue (VAT) is a strong predictor of carbohydrate metabolism disorders. Abdominal bioelectrical impedance analysis (A-BIA) is a simple method for the measurement of VAT and is a promising tool in screening and follow-up of abdominal obesity. However the role of A-BIA in dieting individuals has not been evaluated adequately in longitudinal follow-up studies. Objective The aim of this study is to determine the role of A-BIA in identifying the changes in metabolic predictors after diet and/or exercise therapy. Design All patients who sought weight loss treatment underwent baseline assessment and were prescribed a program of diet. After a mean follow-up of 3.2 months, data were analyzed. Subjects and Methods Ultimately, 103 participants who reported adhering to the diet, enrolled to the study. We tested associations between changes in body composition measures and changes in laboratory measures using correlations and multivariate linear regression analysis. Results Mean loss of body weight was 3.4±2.8 kg. All but waist-to-hip ratio, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol levels changed significantly (p<0.001). Decreases in body weight, body mass index (BMI), and VAT level significantly correlated with decreases in fasting blood glucose, fasting insulin level, and HOMA-IR score (r=0.230-0.371). In multiple linear regression analysis changes in BMI and VAT significantly correlated with change in HOMA-IR score (F(7.93)=2.283, p=0.034, R2=0.147). Conclusion Decreases in BMI and VAT, as determined by A-BIA, were predictors of changes in metabolic laboratory measures. A-BIA is useful for follow-up of patients receiving diet therapy for weight loss.
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