Literature DB >> 23266516

Self-reported eating rate aligns with laboratory measured eating rate but not with free-living meals.

Amanda J Petty1, Kathleen J Melanson, Geoffrey W Greene.   

Abstract

Methodological differences may be responsible for variable results from eating rate (ER) studies. It is unknown whether self-reported, lab-measured, and free-living ER's align. This study was the first to explore relationships among self-reported, laboratory-measured and free-living ER's. We investigated this relationship in 60 randomly selected male and female college students who were stratified by self-reported eating rate (SRER) (Slow, Medium, and Fast) from 1110 on-line survey respondents. Test day; subjects ate a prescribed breakfast (∼400kcal) at home, recording meal duration (MD); 4h later they individually ate an ad libitum laboratory pasta lunch at their own (natural) pace; remainder of the day they recorded free-living intake and MD. As expected the three self-reported ER categories aligned with lab ER (Fast=83.9±5.5, Medium=63.1±5.2, Slow=53.0±5.4kcals/min). In all ER categories at all meals, men ate faster than women (Men=80.6±30.7kcals/min: Women=52.0±21.6kcals/min). A difference in lab measured ER by SRER F=(2, 58)=7.677, post hoc Tukey analysis found fast differed from medium and slow. The three free-living meal ER's did not align with self-report categories. Findings suggest various methods of measuring ER may yield differing results, at least in this population, but results support the use of SRER as a valid measure.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23266516     DOI: 10.1016/j.appet.2012.12.014

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


  16 in total

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Review 2.  Association between eating rate and obesity: a systematic review and meta-analysis.

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4.  Comparison between Human and Bite-Based Methods of Estimating Caloric Intake.

Authors:  James N Salley; Adam W Hoover; Michael L Wilson; Eric R Muth
Journal:  J Acad Nutr Diet       Date:  2016-04-14       Impact factor: 4.910

5.  Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables.

Authors:  James Salley; Eric Muth; Adam Hoover
Journal:  IEEE J Biomed Health Inform       Date:  2016-09-21       Impact factor: 5.772

6.  Effects of eating rate on satiety: A role for episodic memory?

Authors:  Danielle Ferriday; Matthew L Bosworth; Samantha Lai; Nicolas Godinot; Nathalie Martin; Ashley A Martin; Peter J Rogers; Jeffrey M Brunstrom
Journal:  Physiol Behav       Date:  2015-07-16

7.  Eating quickly is associated with waist-to-height ratio among Japanese adolescents: a cross-sectional survey.

Authors:  Hirotaka Ochiai; Takako Shirasawa; Hinako Nanri; Rimei Nishimura; Masaaki Matoba; Hiromi Hoshino; Akatsuki Kokaze
Journal:  Arch Public Health       Date:  2016-05-09

8.  Joint impact of modifiable lifestyle behaviors on glycemic control and insulin resistance in patients with type 2 diabetes: the Fukuoka Diabetes Registry.

Authors:  Toshiaki Ohkuma; Masanori Iwase; Hiroki Fujii; Hitoshi Ide; Shinako Kaizu; Tamaki Jodai; Yohei Kikuchi; Yasuhiro Idewaki; Akiko Sumi; Udai Nakamura; Takanari Kitazono
Journal:  Diabetol Int       Date:  2017-02-17

9.  Self-reported eating rate is associated with weight status in a Dutch population: a validation study and a cross-sectional study.

Authors:  Janet H W van den Boer; Jentina Kranendonk; Anne van de Wiel; Edith J M Feskens; Anouk Geelen; Monica Mars
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10.  Lifestyle factors associated with underweight among Japanese adolescents: a cross-sectional study.

Authors:  Hirotaka Ochiai; Takako Shirasawa; Hinako Nanri; Rimei Nishimura; Shohei Nomoto; Hiromi Hoshino; Akatsuki Kokaze
Journal:  Arch Public Health       Date:  2017-10-23
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