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Publication - Dr Elanor Hinton

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

    Citation

    Wilkinson, LL, Hinton, EC, Fay, SH, Ferriday, D, Rogers, PJ & Brunstrom, JM, 2012, ‘Computer-based assessments of expected satiety predict behavioural measures of portion-size selection and food intake’. Appetite, vol 59., pp. 933-938

    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.

    Full details in the University publications repository