Rolls Barbara J, Roe Liane S, Cunningham Paige M, Keller Kathleen L, Zuraikat Faris M
Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.
Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.
Appetite. 2025 Sep 1;213:108036. doi: 10.1016/j.appet.2025.108036. Epub 2025 May 3.
Effects of food properties on satiety can be evaluated by having individuals consume a compulsory first-course preload before an ad libitum test meal. One measure of satiety is energy compensation, which can be quantified as total meal energy intake (preload + test meal) expressed as a percentage of an individual's energy intake at a no-preload control meal. In this secondary analysis, we evaluated characteristics of preloads, test meals, and participants that predict energy compensation, in order to inform methods for satiety assessment. We combined data from 13 preloading studies comprising weighed intakes from 1757 preload meals across 511 participants. The results showed that energy compensation was positively influenced by preload energy and energy density, and negatively influenced by preload weight (all p < 0.0001). Energy compensation was not, however, affected by characteristics of the test meal or the participants. The strongest predictor of energy compensation was the energy content of the preload relative to an individual's control meal energy intake, which explained 32 % of the variability in the outcome. Complete energy compensation was observed when preload energy averaged 27 % of control meal intake. The finding that relative preload energy was the strongest predictor of compensation underscores the importance of including a control condition in preloading studies. This allows researchers to focus on the effects of preload properties by adjusting for any influential characteristics of the test meal and participants. Understanding predictors of energy compensation can be used to improve methods for satiety assessment and to facilitate interpretation of findings from preloading studies.
食物特性对饱腹感的影响可通过让个体在随意进食测试餐之前强制食用第一道菜前负荷来评估。饱腹感的一种衡量指标是能量补偿,它可以量化为总餐能量摄入量(前负荷 + 测试餐),表示为个体在无前负荷对照餐时能量摄入量的百分比。在这项二次分析中,我们评估了预测能量补偿的前负荷、测试餐和参与者的特征,以便为饱腹感评估方法提供依据。我们合并了来自13项前负荷研究的数据,这些研究包括511名参与者摄入的1757份前负荷餐的称重数据。结果表明,能量补偿受到前负荷能量和能量密度的正向影响,而受到前负荷重量的负向影响(所有p < 0.0001)。然而,能量补偿不受测试餐或参与者特征的影响。能量补偿的最强预测因素是前负荷的能量含量相对于个体对照餐能量摄入量,这解释了结果中32%的变异性。当前负荷能量平均为对照餐摄入量的27%时,观察到完全能量补偿。前负荷相对能量是补偿的最强预测因素这一发现强调了在前负荷研究中纳入对照条件的重要性。这使研究人员能够通过调整测试餐和参与者的任何有影响的特征来关注前负荷特性的影响。了解能量补偿的预测因素可用于改进饱腹感评估方法,并促进对前负荷研究结果的解释。