Literature DB >> 24215801

Increasing the number of chews before swallowing reduces meal size in normal-weight, overweight, and obese adults.

Yong Zhu, James H Hollis.   

Abstract

Eating slowly contributes to a lower risk of obesity, probably because it could aid appetite control. Chewing thoroughly is an effective strategy to reduce eating rate; however, insufficient data are available to demonstrate the relationship between such an eating behavior and energy intake. To investigate the effect of increasing the number of chews before swallowing on meal size, a randomized cross-over trial was conducted in 18- to 45-year-old normal-weight, overweight, and obese participants (n=45) who were recruited from the local community (Ames, IA). After assessment of baseline number of chews, participants were asked to attend three test sessions to eat pizza for lunch until comfortably full by chewing each portion of food either 100%, 150%, or 200% of their baseline number of chews before swallowing. Two-way analysis of variance was used to test the effect of treatment and body-weight status, as well as their interactions on food intake, meal duration, eating rate, and appetite at meal termination. Appetite data during 60 minutes were analyzed by repeated measures analysis of variance. Food intake in the sessions with 150% and 200% of their baseline number of chews was reduced significantly, by 9.5% and 14.8%, respectively, compared with the 100% session. Increasing the number of chews also prolonged meal duration and reduced eating rate. However, subjective appetite at meal termination or during the immediate postprandial period did not differ. These data indicate that increasing the number of chews before swallowing might be a behavioral strategy to reduce food intake and potentially aid body-weight management.
Copyright © 2014 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Appetite; Eating rate; Food intake; Ingestive behavior; Mastication

Mesh:

Year:  2013        PMID: 24215801     DOI: 10.1016/j.jand.2013.08.020

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   4.910


  11 in total

1.  Effects of food diameter on bite size per mouthful and chewing behavior.

Authors:  Kouichi Shiozawa; Yoshiki Ohnuki; Yasumasa Mototani; Daisuke Umeki; Aiko Ito; Yasutake Saeki; Nobuhiro Hanada; Satoshi Okumura
Journal:  J Physiol Sci       Date:  2016-01       Impact factor: 2.781

2.  A description of an 'obesogenic' eating style that promotes higher energy intake and is associated with greater adiposity in 4.5year-old children: Results from the GUSTO cohort.

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh Anand Sadananthan; S Sendhil Velan; Navin Michael; Mya Thway Tint; Marielle Valerie Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary Foong Fong Chong; Ciarán G Forde
Journal:  Physiol Behav       Date:  2017-02-14

3.  Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4·5-year-old children: results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) cohort.

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh A Sadananthan; S Sendhil Velan; Navin Michael; Mya-Thway Tint; Marielle V Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary F F Chong; Ciarán G Forde
Journal:  Br J Nutr       Date:  2017-05-02       Impact factor: 3.718

4.  Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  IEEE J Biomed Health Inform       Date:  2016-12-14       Impact factor: 5.772

5.  Effects of Developmental Failure of Swallowing Threshold on Obesity and Eating Behaviors in Children Aged 5-15 Years.

Authors:  Yuko Fujita
Journal:  Nutrients       Date:  2022-06-24       Impact factor: 6.706

6.  Automatic Measurement of Chew Count and Chewing Rate during Food Intake.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  Electronics (Basel)       Date:  2016-09-23       Impact factor: 2.397

7.  Eating Fast Is Associated with Nonalcoholic Fatty Liver Disease in Men But Not in Women with Type 2 Diabetes: A Cross-Sectional Study.

Authors:  Fuyuko Takahashi; Yoshitaka Hashimoto; Rena Kawano; Ayumi Kaji; Ryosuke Sakai; Yuka Kawate; Takuro Okamura; Emi Ushigome; Noriyuki Kitagawa; Saori Majima; Takafumi Sennmaru; Hiroshi Okada; Naoko Nakanishi; Masahide Hamaguchi; Mai Asano; Masahiro Yamazaki; Michiaki Fukui
Journal:  Nutrients       Date:  2020-07-22       Impact factor: 5.717

8.  Virtual Reality as a Tool to Study the Influence of the Eating Environment on Eating Behavior: A Feasibility Study.

Authors:  James H Oliver; James H Hollis
Journal:  Foods       Date:  2021-01-05

9.  Automatic Count of Bites and Chews From Videos of Eating Episodes.

Authors:  Delwar Hossain; Tonmoy Ghosh; Edward Sazonov
Journal:  IEEE Access       Date:  2020-06-01       Impact factor: 3.367

10.  Impact of food texture modifications on oral processing behaviour, bolus properties and postprandial glucose responses.

Authors:  J Y M Choy; A T Goh; G Chatonidi; S Ponnalagu; S M M Wee; M Stieger; C G Forde
Journal:  Curr Res Food Sci       Date:  2021-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.