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Determining the Contribution of the Energy Systems During Exercise
Published on: March 20, 2012
High satiety: Evaluating determinants of energy compensation and intake in multiple preloading studies
Barbara J Rolls1, Liane S Roe1, Paige M Cunningham2
1Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.
None:
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.
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