Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.physbeh.2021.113495
Title: Impact of Individual Differences in Eating Rate on Oral Processing, Bolus Properties and Post-Meal Glucose Responses
Authors: Goh, Ai Ting
Chatonidi, Georgia
Choy, Michelle
Ponnalagu, Shalini
Stieger, Markus
Forde, Ciaran G. 
Keywords: Eating behaviour
Eating rate
Food texture
Glycaemic Response
Issue Date: 1-Sep-2021
Publisher: Elsevier Inc.
Citation: Goh, Ai Ting, Chatonidi, Georgia, Choy, Michelle, Ponnalagu, Shalini, Stieger, Markus, Forde, Ciaran G. (2021-09-01). Impact of Individual Differences in Eating Rate on Oral Processing, Bolus Properties and Post-Meal Glucose Responses. Physiology and Behavior 238 : 113495. ScholarBank@NUS Repository. https://doi.org/10.1016/j.physbeh.2021.113495
Rights: Attribution 4.0 International
Abstract: Purpose: Modifying food texture has been shown to influence oral processing behaviour. We explored the impact of food texture on oral processing, bolus formation and post-prandial glucose responses (PPG) among fast and slow eaters. Methods: Male participants (N=39) were split into fast or slow eaters based on natural differences in eating rate when consuming two carbohydrate-equivalent test-meals differing in texture (white rice and rice cake). PPG and satiety responses were compared for fast and slow eaters over 120-min for each test-meal. Each groups test-meal PPG was compared for bolus and saliva properties at the point of swallow. Results: White rice displayed lower instrumental hardness, chewiness and Young's modulus and was perceived less chewy, springy and sticky than rice cake. Slow eaters (n=24, white rice: 13.3 g/min; rice cake: 15.1 g/min) required an average 42% more chews per bite (p < 0.001), had 60% longer oral exposure time (OET), and consumed both test-meals (p < 0.001) at half the eating rate of fast eaters (n=15). Slow eaters had higher PPG following the rice cake meal at 15 (p = 0.046) and 45 min (p = 0.034) than fast eaters. A longer OET was a positive predictor of early PPG at 30-min after the white rice meal (? = 0.178, p = 0.041) and saliva uptake was a significant predictor (? = 0.458, p = 0.045) of PPG for slow eaters when consuming rice cake. Increasing food hardness and stiffness (Young's modulus) had a greater impact on eating rate for slow eaters than fast eaters. Conclusions: Eating rate, oral exposure time and bolus saliva uptake were the predictors of an individual's post-prandial glycaemic response amongst slow eaters. Increasing the number of chews per bite with a longer oral exposure time increased saliva uptake in the bolus at the moment of swallowing and enhanced temporal changes in PPG, leading to greater glycaemic peaks in rice cake meal. Differences in eating rate between slow and fast eaters when consuming rice cake meal influenced temporal changes in PPG but not total PPG, and bolus properties did not differ between eating rate groups. © 2021 The Author(s)
Source Title: Physiology and Behavior
URI: https://scholarbank.nus.edu.sg/handle/10635/232911
ISSN: 0031-9384
DOI: 10.1016/j.physbeh.2021.113495
Rights: Attribution 4.0 International
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