Bozkuş Y, Mousa U, Demir C C, Anil C, Kut A, Turhan Iyidir O, Gulsoy Kirnap N, Fırat S, Nar A, Tutuncu N B
Başkent University Faculty of Medicine - Department of Endocrinology and Metabolism, Ankara, Turkey.
Baskent University Ankara Hospital - Department of Family Medicine, Istanbul, Turkey.
Acta Endocrinol (Buchar). 2019 Apr-Jun;15(2):145-152. doi: 10.4183/aeb.2019.145.
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.
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.
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.
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.
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).
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.
内脏脂肪组织（VAT）是碳水化合物代谢紊乱的有力预测指标。腹部生物电阻抗分析（A-BIA）是一种测量VAT的简单方法，在腹部肥胖的筛查和随访中是一种很有前景的工具。然而，在纵向随访研究中，A-BIA在节食个体中的作用尚未得到充分评估。
本研究旨在确定A-BIA在识别饮食和/或运动治疗后代谢预测指标变化中的作用。
所有寻求减肥治疗的患者均接受基线评估，并被规定了饮食计划。在平均随访3.2个月后，对数据进行分析。
最终，103名报告坚持饮食的参与者纳入本研究。我们使用相关性分析和多元线性回归分析来测试身体成分测量指标的变化与实验室测量指标变化之间的关联。
平均体重减轻3.4±2.8kg。除腰臀比、低密度脂蛋白胆固醇和高密度脂蛋白胆固醇水平外，所有指标均有显著变化（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评分的变化显著相关（F(7.93)=2.283，p=0.034，R2=0.147）。
A-BIA测定的BMI和VAT降低是代谢实验室测量指标变化的预测因素。A-BIA对接受减肥饮食治疗的患者的随访很有用。
