Literature DB >> 10714389

Microstructural analyses of human ingestive patterns: from description to mechanistic hypotheses.

J L Guss1, H R Kissileff.   

Abstract

Continuous automated weighing of food while subjects ate was used to test the hypothesis that failure to slow eating rate during a meal indicated a deficient response to satiety signals in obese patients. Cumulative intake curves were fitted to a quadratic equation. The physical form of the food and its palatability were a greater influence on the equation's parameters than the subjects' body weights, and the hypothesis was abandoned for several years (1984-1993). The hypothesis was revived with modifications when we discovered disturbances in eating behavior in patients with bulimia nervosa. The new hypothesis was that overeating was attributable to subjects' inability to detect or respond to satiety-related signals after eating large amounts of food. Patients with eating disorders showed lower ratings of satiety after eating the same amounts of food as controls, but only after eating more than normal. In conclusion, microstructural examination of eating behavior may be more useful for tests of specific hypotheses about the control of eating than as a description of clinical disturbance.

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Year:  2000        PMID: 10714389     DOI: 10.1016/s0149-7634(99)00079-2

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


  17 in total

1.  Role of the corticotropin-releasing factor receptor type 2 in the control of food intake in mice: a meal pattern analysis.

Authors:  A Tabarin; Y Diz-Chaves; D Consoli; M Monsaingeon; T L Bale; M D Culler; R Datta; F Drago; W W Vale; G F Koob; E P Zorrilla; A Contarino
Journal:  Eur J Neurosci       Date:  2007-10       Impact factor: 3.386

2.  Stress-related cortisol response and laboratory eating behavior in obese women.

Authors:  Fabian Lorig; Gundula Rebecca Raphaela Kießl; Reinhold Gustav Laessle
Journal:  Eat Weight Disord       Date:  2015-04-01       Impact factor: 4.652

3.  A new universal dynamic model to describe eating rate and cumulative intake curves.

Authors:  Diana M Thomas; Jonathan Paynter; Courtney M Peterson; Steven B Heymsfield; Ann Nduati; John W Apolzan; Corby K Martin
Journal:  Am J Clin Nutr       Date:  2017-01-11       Impact factor: 7.045

Review 4.  Energy intake in weight-reduced humans.

Authors:  Michael Rosenbaum; Harry R Kissileff; Laurel E S Mayer; Joy Hirsch; Rudolph L Leibel
Journal:  Brain Res       Date:  2010-06-02       Impact factor: 3.252

5.  Establishing meal patterns by lickometry in the marmoset monkey (Callithrix jacchus): translational applications from the bench to the field and the clinic.

Authors:  Corinna N Ross; Michael L Power; Suzette D Tardif
Journal:  Am J Primatol       Date:  2012-06-15       Impact factor: 2.371

6.  Between- and Within-Subjects Predictors of the Kilocalorie Content of Bites of Food.

Authors:  James N Salley; Adam W Hoover; Eric R Muth
Journal:  J Acad Nutr Diet       Date:  2019-02-16       Impact factor: 4.910

7.  Differences in laboratory eating behaviour between overweight boys and girls before treatment.

Authors:  R G Laessle; S Lehrke
Journal:  Eat Weight Disord       Date:  2012-06       Impact factor: 4.652

8.  Effects of Bite Count Feedback from a Wearable Device and Goal Setting on Consumption in Young Adults.

Authors:  Phillip W Jasper; Melva T James; Adam W Hoover; Eric R Muth
Journal:  J Acad Nutr Diet       Date:  2016-06-23       Impact factor: 4.910

9.  Ovarian hormones inhibit fat intake under binge-type conditions in ovariectomized rats.

Authors:  Zhiping Yu; Nori Geary; Rebecca L Corwin
Journal:  Physiol Behav       Date:  2008-07-22

10.  A comparison of bite size and BMI in a cafeteria setting.

Authors:  Ryan S Mattfeld; Eric R Muth; Adam Hoover
Journal:  Physiol Behav       Date:  2017-09-08
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