Literature DB >> 10714387

Eating behavior in humans, characterized by cumulative food intake curves--a review.

M S Westerterp-Plantenga1.   

Abstract

Cumulative food intake curves have been obtained by monitoring eating from a plate, placed on a scale built into a table, and connected to a digital computer. They describe and integrate parameters of consumption of an ad lib single course meal, i.e. meal size, meal duration, eating rate, change in eating rate, bite size and bite frequency. It is concluded that they are an adequate tool for analyzing dietary and clinical interventions on meal size, because the cumulative food intake curve parameters: are stable and consistent within subjects; show a clear relationship with the subject characteristics dietary restraint and obesity; show a clear relationship with the physiological parameters satiation, diet-induced thermogenesis and body-temperature near the liver, and with the cognitive parameter: estimating forthcoming ingestion; are sensitive to instructions, clinical and dietary interventions (preloads, palatability, energy density, macronutrient composition), and to a state of negative energy balance. Because of possible compensatory post-prandial effects, it is suggested that assessment of meal size should be part of a 24 h appetite profile and food intake observation.

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Year:  2000        PMID: 10714387     DOI: 10.1016/s0149-7634(99)00077-9

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


  14 in total

1.  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

2.  Measuring the Consumption of Individual Solid and Liquid Bites Using a Table-Embedded Scale During Unrestricted Eating.

Authors:  Ryan S Mattfeld; Eric R Muth; Adam Hoover
Journal:  IEEE J Biomed Health Inform       Date:  2016-11-24       Impact factor: 5.772

3.  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

Review 4.  Child meal microstructure and eating behaviors: A systematic review.

Authors:  Alaina L Pearce; Maria C Cevallos; Olivia Romano; Elodie Daoud; Kathleen L Keller
Journal:  Appetite       Date:  2021-10-16       Impact factor: 3.868

5.  Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing.

Authors:  Paulo Lopez-Meyer; Stephanie Schuckers; Oleksandr Makeyev; Juan M Fontana; Edward Sazonov
Journal:  Biomed Signal Process Control       Date:  2011-12-05       Impact factor: 3.880

6.  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

7.  Lack of effect of high-protein vs. high-carbohydrate meal intake on stress-related mood and eating behavior.

Authors:  Sofie G Lemmens; Eveline A Martens; Jurriaan M Born; Mieke J Martens; Margriet S Westerterp-Plantenga
Journal:  Nutr J       Date:  2011-12-12       Impact factor: 3.271

8.  The Effect of Food Unit Sizes and Meal Serving Occasions on Eating Behaviour Characteristics: Within Person Randomised Crossover Studies on Healthy Women.

Authors:  Billy Langlet; Mona Tang Bach; Dorothy Odegi; Petter Fagerberg; Ioannis Ioakimidis
Journal:  Nutrients       Date:  2018-07-08       Impact factor: 5.717

9.  Variation in the Oral Processing of Everyday Meals Is Associated with Fullness and Meal Size; A Potential Nudge to Reduce Energy Intake?

Authors:  Danielle Ferriday; Matthew L Bosworth; Nicolas Godinot; Nathalie Martin; Ciarán G Forde; Emmy Van Den Heuvel; Sarah L Appleton; Felix J Mercer Moss; Peter J Rogers; Jeffrey M Brunstrom
Journal:  Nutrients       Date:  2016-05-21       Impact factor: 5.717

10.  The Association between Eating Traits and Weight Change after a Lifestyle Intervention in People with Type 2 Diabetes Mellitus.

Authors:  Anitra D M Koopman; Maya Vd Ven; Joline W Beulens; Laura M Welschen; Petra J Elders; Giel Nijpels; Femke Rutters
Journal:  J Diabetes Res       Date:  2018-06-03       Impact factor: 4.011

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