Literature DB >> 16846663

Effects of hunger state on flavour pleasantness conditioning at home: flavour-nutrient learning vs. flavour-flavour learning.

Sirous Mobini1, Lucy C Chambers, Martin R Yeomans.   

Abstract

UNLABELLED: This study examined acquired liking of flavour preferences through flavour-flavour and flavour-nutrient learning under hungry or sated conditions in a naturalistic setting. Each participant consumed one of three versions of a test drink at home either before lunch or after lunch: minimally sweetened ( CONTROL: 3% sucrose, 40 kcal), artificially sweetened (3% sucrose 40 kcal plus artificial sweeteners ASPARTAME) and sucrose-sweetened (SUCROSE: 9.9% sugar, 132 kcal). The test drink was an uncarbonated peach-flavoured iced tea served in visually identical drink cans (330 ml). Participants preselected as "sweet likers" evaluated the minimally sweetened flavoured drink (conditioned stimulus, CS) in the same state (hungry or sated) in which they consumed the test drink at home. Overall, liking for the CS flavour increased in participants who consumed the SUCROSE drink, however, this increase in liking was significantly larger when tested and trained hungry than sated, consistent with a flavour-nutrient model. Overall increases in pleasantness for the CS flavour in participants who consumed the SUCROSE drink when sated or the ASPARTAME drink independent of hunger state, suggest that flavour-flavour learning also occurred. These results are discussed in light of current learning models of flavour preference.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16846663     DOI: 10.1016/j.appet.2006.05.017

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  8 in total

Review 1.  The gut-brain dopamine axis: a regulatory system for caloric intake.

Authors:  Ivan E de Araujo; Jozélia G Ferreira; Luis A Tellez; Xueying Ren; Catherine W Yeckel
Journal:  Physiol Behav       Date:  2012-03-03

2.  Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward.

Authors:  Maria Geraldine Veldhuizen; Richard Keith Babbs; Barkha Patel; Wambura Fobbs; Nils B Kroemer; Elizabeth Garcia; Martin R Yeomans; Dana M Small
Journal:  Curr Biol       Date:  2017-08-10       Impact factor: 10.834

Review 3.  Reinforcement pathology and obesity.

Authors:  Katelyn A Carr; Tinuke Oluyomi Daniel; Henry Lin; Leonard H Epstein
Journal:  Curr Drug Abuse Rev       Date:  2011-09

4.  Glucose utilization rates regulate intake levels of artificial sweeteners.

Authors:  Luis A Tellez; Xueying Ren; Wenfei Han; Sara Medina; Jozélia G Ferreira; Catherine W Yeckel; Ivan E de Araujo
Journal:  J Physiol       Date:  2013-09-23       Impact factor: 5.182

5.  Combined compared to dissociated oral and intestinal sucrose stimuli induce different brain hedonic processes.

Authors:  Caroline Clouard; Marie-Christine Meunier-Salaün; Paul Meurice; Charles-Henri Malbert; David Val-Laillet
Journal:  Front Psychol       Date:  2014-08-07

Review 6.  How Infants and Young Children Learn About Food: A Systematic Review.

Authors:  Manon Mura Paroche; Samantha J Caton; Carolus M J L Vereijken; Hugo Weenen; Carmel Houston-Price
Journal:  Front Psychol       Date:  2017-07-25

7.  Wanting More, Seeing Less: Hunger Reduces Calorie Evaluations.

Authors:  Aner Tal
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

8.  Salivary Composition Is Associated with Liking and Usual Nutrient Intake.

Authors:  Caroline Méjean; Martine Morzel; Eric Neyraud; Sylvie Issanchou; Christophe Martin; Sophie Bozonnet; Christine Urbano; Pascal Schlich; Serge Hercberg; Sandrine Péneau; Gilles Feron
Journal:  PLoS One       Date:  2015-09-04       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.