Faculty of Health & Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom of Great Britain and Northern Ireland.
Proc Nutr Soc. 2022 May;81(2):199-212. doi: 10.1017/S0029665121003669. Epub 2021 Oct 4.
The observation that 64% of English adults are overweight or obese despite a rising prevalence in weight-loss attempts suggests our understanding of energy balance is fundamentally flawed. Weight-loss is induced through a negative energy balance; however, we typically view weight change as a static function, in that energy intake and energy expenditure are independent variables, resulting in a fixed rate of weight-loss assuming a constant energy deficit. Such static modelling provides the basis for the clinical assumption that a 14644 kJ (3500 kcal) deficit translates to a 1 lb weight-loss. However, this '3500 kcal (14644 kJ) rule' is consistently shown to significantly overestimate weight-loss. Static modelling disregards obligatory changes in energy expenditure associated with the loss of metabolically active tissue, i.e. skeletal muscle. Additionally, it disregards the presence of adaptive thermogenesis, the underfeeding-associated fall in resting energy expenditure beyond that caused by loss of fat-free mass. This metabolic manipulation of energy expenditure is observed from the onset of energy restriction to maintain weight at a genetically pre-determined set point. As a result, the observed magnitude of weight-loss is disproportionally less, followed by earlier weight plateau, despite strict compliance to a dietary intervention. By simulating dynamic changes in energy expenditure associated with underfeeding, mathematical modelling may provide a more accurate method of weight-loss prediction. However, accuracy at an individual level is limited due to difficulty estimating energy requirements, physical activity and dietary intake in free-living individuals. In the present paper, we aim to outline the contribution of dynamic changes in energy expenditure to weight-loss resistance and weight plateau.
尽管减肥的尝试越来越普遍,但仍有 64%的英国成年人超重或肥胖,这表明我们对能量平衡的理解存在根本缺陷。减肥是通过负能平衡诱导的;然而,我们通常将体重变化视为静态函数,即能量摄入和能量消耗是独立变量,因此在假设能量持续不足的情况下,体重下降的速度是固定的。这种静态模型为临床假设提供了基础,即 14644kJ(3500kcal)的亏空转化为 1 磅的体重减轻。然而,事实证明,这种“3500kcal(14644kJ)规则”严重高估了体重减轻的程度。静态模型忽略了与代谢活跃组织(即骨骼肌)损失相关的能量消耗的强制性变化。此外,它忽略了适应性生热的存在,即与无脂肪质量损失相关的静息能量消耗下降超出了因无脂肪质量损失而导致的下降。从能量限制开始,这种能量消耗的代谢操纵就可以观察到,以维持体重在基因预先确定的设定点。因此,尽管严格遵守饮食干预,但观察到的体重减轻幅度不成比例地较小,随后是更早的体重平台期。通过模拟与限食相关的能量消耗的动态变化,数学模型可能为体重减轻的预测提供更准确的方法。然而,由于难以估计自由生活个体的能量需求、身体活动和饮食摄入,因此在个体水平上的准确性是有限的。在本文中,我们旨在概述能量消耗的动态变化对减肥抵抗和体重平台期的贡献。