Literature DB >> 10714388

Rating changes over the course of meals: what do they tell us about motivation to eat?

M R Yeomans1.   

Abstract

Detailed analysis of the pattern of change in rated appetite within a meal have proved a useful technique through which to explore appetite control. Variability in individual ratings, and technical difficulties in achieving ratings at equivalent stages of a meal, have lead to the use of curve-fitting techniques to model changes in rated appetite across a meal. These changes could best be described by a quadratic function, in which the three parameters (intercept, linear and quadratic coefficients) represented distinct influences on meal size. In normal subjects, manipulations of palatability and opioid receptor blockade and preloads of alcohol all modified the linear component of this function only, while preloading with maltodextrin reduced appetite at the start of eating (the intercept) but not the pattern of change in ratings within that meal. Thus the linear coefficient appears to measure the degree of stimulation of appetite by the sensory characteristics of the food, while the intercept reflects baseline appetite at the start of a meal. These results suggest that microstructural analyses of rating changes allow some dissociation of the factors underlying motivation to eat, and provide a novel methodology for future experimentation.

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Year:  2000        PMID: 10714388     DOI: 10.1016/s0149-7634(99)00078-0

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  12 in total

Review 1.  Opioids for hedonic experience and dopamine to get ready for it.

Authors:  M Flavia Barbano; Martine Cador
Journal:  Psychopharmacology (Berl)       Date:  2006-10-10       Impact factor: 4.530

2.  Effects of awareness that food intake is being measured by a universal eating monitor on the consumption of a pasta lunch and a cookie snack in healthy female volunteers.

Authors:  J M Thomas; C T Dourish; S Higgs
Journal:  Appetite       Date:  2015-06-03       Impact factor: 3.868

3.  Stopping to food can reduce intake. Effects of stimulus-specificity and individual differences in dietary restraint.

Authors:  Natalia S Lawrence; Frederick Verbruggen; Sinead Morrison; Rachel C Adams; Christopher D Chambers
Journal:  Appetite       Date:  2014-11-11       Impact factor: 3.868

Review 4.  Effect of Polydextrose on Subjective Feelings of Appetite during the Satiation and Satiety Periods: A Systematic Review and Meta-Analysis.

Authors:  Alvin Ibarra; Nerys M Astbury; Kaisa Olli; Esa Alhoniemi; Kirsti Tiihonen
Journal:  Nutrients       Date:  2016-01-14       Impact factor: 5.717

5.  Compensatory changes in energy balance during dapagliflozin treatment in type 2 diabetes mellitus: a randomised double-blind, placebo-controlled, cross-over trial (ENERGIZE)-study protocol.

Authors:  Surya Panicker Rajeev; Victoria S Sprung; Carl Roberts; Jo A Harrold; Jason C G Halford; Andrej Stancak; Emma J Boyland; Graham J Kemp; Daniel J Cuthbertson; John P H Wilding
Journal:  BMJ Open       Date:  2017-01-27       Impact factor: 2.692

6.  Training response inhibition to reduce food consumption: Mechanisms, stimulus specificity and appropriate training protocols.

Authors:  Rachel C Adams; Natalia S Lawrence; Frederick Verbruggen; Christopher D Chambers
Journal:  Appetite       Date:  2016-11-09       Impact factor: 3.868

Review 7.  Expected Satiety: Application to Weight Management and Understanding Energy Selection in Humans.

Authors:  Ciarán G Forde; Eva Almiron-Roig; Jeffrey M Brunstrom
Journal:  Curr Obes Rep       Date:  2015-03

8.  Effects of the 5-HT2C receptor agonist meta-chlorophenylpiperazine on appetite, food intake and emotional processing in healthy volunteers.

Authors:  J M Thomas; C T Dourish; J W Tomlinson; Z Hassan-Smith; S Higgs
Journal:  Psychopharmacology (Berl)       Date:  2014-01-10       Impact factor: 4.530

9.  Fluid or fuel? The context of consuming a beverage is important for satiety.

Authors:  Keri McCrickerd; Lucy Chambers; Martin R Yeomans
Journal:  PLoS One       Date:  2014-06-19       Impact factor: 3.240

10.  Home-Based Monitoring of Eating in Adolescents: A Pilot Study.

Authors:  Ghassan Idris; Claire Smith; Barbara Galland; Rachael Taylor; Christopher John Robertson; Mauro Farella
Journal:  Nutrients       Date:  2021-12-03       Impact factor: 5.717

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