Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Centre for Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway.
Obesity (Silver Spring). 2020 May;28(5):902-906. doi: 10.1002/oby.22780.
The aim of this study was to investigate whether baseline (pre-weight loss) metabolic variables can predict weight regain.
About 117 women with overweight completed a weight loss program to achieve BMI < 25 kg/m and were followed for 2 years. Resting metabolic rate, respiratory quotient, insulin sensitivity, and serum leptin concentration were measured pre-weight loss, while on energy balance, and as predictors of weight regain at 1 and 2 years. Rate and amount of weight loss also were examined as predictors, as these outcomes may reflect metabolic phenotype.
Average weight loss was 12 (SD 2.5) kg, and regain was 48% (SD 35%) and 80% (SD 52%) at 1 and 2 years, respectively. In regression modeling, metabolic variables (both pre-weight loss and changes with weight loss) did not predict weight regain. However, initial weight loss and time to achieve BMI < 25 were significant predictors of weight regain at 1 and 2 years, even after adjusting for confounders.
Baseline (pre-weight loss) resting metabolic rate, respiratory quotient, insulin sensitivity, and leptin did not predict weight regain. However, a larger and faster weight loss was associated with a lower weight regain. Understanding the mechanisms behind interindividual variation in magnitude and rate of weight loss is needed to ensure better weight loss maintenance.
本研究旨在探讨基线(减肥前)代谢变量是否可以预测体重反弹。
约 117 名超重女性完成了一项减肥计划,使 BMI<25kg/m2,并随访 2 年。在减肥前、能量平衡时以及作为 1 年和 2 年后体重反弹的预测指标,测量了静息代谢率、呼吸商、胰岛素敏感性和血清瘦素浓度。减肥的速度和幅度也作为预测指标进行了检查,因为这些结果可能反映了代谢表型。
平均体重减轻 12(SD 2.5)kg,1 年和 2 年时的体重反弹分别为 48%(SD 35%)和 80%(SD 52%)。在回归模型中,代谢变量(减肥前和减肥过程中的变化)都不能预测体重反弹。然而,初始体重减轻和达到 BMI<25 的时间是 1 年和 2 年后体重反弹的重要预测指标,即使在调整了混杂因素后也是如此。
基线(减肥前)静息代谢率、呼吸商、胰岛素敏感性和瘦素都不能预测体重反弹。然而,更大幅度和更快的体重减轻与较低的体重反弹相关。为了确保更好的减肥维持,需要了解个体间体重减轻幅度和速度差异的机制。