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Computer-based assessments of expected satiety predict behavioural measures of portion-size selection and food intake

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)933-938
Number of pages6
JournalAppetite
Volume59
Issue number3
Early online date16 Sep 2012
DOIs
DateE-pub ahead of print - 16 Sep 2012
DatePublished (current) - Dec 2012

Abstract

Previously, expected satiety (ES) has been measured using software and two-dimensional pictures presented on a computer screen. In this context, ES is an excellent predictor of self-selected portions, when quantified using similar images and similar software. In the present study we sought to establish the veracity of ES as a predictor of behaviours associated with real foods. Participants (N = 30) used computer software to assess their ES and ideal portion of three familiar foods. A real bowl of one food (pasta and sauce) was then presented and participants self-selected an ideal portion size. They then consumed the portion ad libitum. Additional measures of appetite, expected and actual liking, novelty, and reward, were also taken. Importantly, our screen-based measures of expected satiety and ideal portion size were both significantly related to intake (p <.05). By contrast, measures of liking were relatively poor predictors (p > .05). In addition, consistent with previous studies, the majority (90%) of participants engaged in plate cleaning. Of these, 29.6% consumed more when prompted by the experimenter. Together, these findings further validate the use of screen-based measures to explore determinants of portion-size selection and energy intake in humans. (C) 2012 Elsevier Ltd. All rights reserved.

Additional information

Copyright © 2012 Elsevier Ltd. All rights reserved.

    Research areas

  • Portion size, Expected satiation, Expected satiety, Food intake, Liking, Reward, SENSORY-SPECIFIC SATIETY, CHANGES EXPECTATIONS, DIETARY RESTRAINT, EATING BEHAVIOR, HUMANS, PALATABILITY, MEAL, APPETITE, FULLNESS, HUNGER

    Structured keywords

  • Brain and Behaviour
  • Nutrition and Behaviour

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