Relationship between chewing features and body mass index in young adolescents.

electromyography feeding behaviour mastication obesity overweight wearable electronic devices

Journal

Pediatric obesity
ISSN: 2047-6310
Titre abrégé: Pediatr Obes
Pays: England
ID NLM: 101572033

Informations de publication

Date de publication:
05 2021
Historique:
revised: 07 09 2020
received: 17 05 2020
accepted: 05 10 2020
pubmed: 21 10 2020
medline: 26 11 2021
entrez: 20 10 2020
Statut: ppublish

Résumé

Behavioural aspects of chewing may influence food intake, nutritional status and in turn body weight. The current study aimed to study chewing features in adolescents as they naturally occur in home-based settings, and to test for a possible association with weight status. Forty-two adolescents (15.3 ± 1.3 years) were recruited (21 with healthy-weight/21 with overweight). Using a smartphone-assisted wearable electromyographic device, the chewing features of each participant were assessed over one evening, including the evening meal, in their natural home setting. The mean (±SD) for chewing pace was 1.53 ± 0.22 Hz, chewing power 30.1% ± 4.8%, number of chewing episodes 63.1 ± 36.7 and chewing time 11.0 ± 7.7 minutes. The chewing pace of the group with overweight was slower than that of healthy weight (-0.20 Hz; 95% CI, -0.06 to -0.33; P = .005) while their chewing time was shorter (-4.9 minutes; 95% CI, 0.2-9.7; P = .044). A significant negative correlation was observed between BMI z-score and chewing pace (R = -.41; P = .007), and between BMI z-score and chewing time (R = -0.32; P = .039). The current study suggests that adolescents who are overweight eat at a slower pace for a shorter period of time than their counterparts who are a healthy weight. This unexpected finding based on objective data appears to conflict with existing questionnaire findings but provides impetus for further work testing the effectiveness of changing eating behaviour as a weight-management intervention in youth.

Sections du résumé

BACKGROUND
Behavioural aspects of chewing may influence food intake, nutritional status and in turn body weight.
OBJECTIVES
The current study aimed to study chewing features in adolescents as they naturally occur in home-based settings, and to test for a possible association with weight status.
METHODS
Forty-two adolescents (15.3 ± 1.3 years) were recruited (21 with healthy-weight/21 with overweight). Using a smartphone-assisted wearable electromyographic device, the chewing features of each participant were assessed over one evening, including the evening meal, in their natural home setting.
RESULTS
The mean (±SD) for chewing pace was 1.53 ± 0.22 Hz, chewing power 30.1% ± 4.8%, number of chewing episodes 63.1 ± 36.7 and chewing time 11.0 ± 7.7 minutes. The chewing pace of the group with overweight was slower than that of healthy weight (-0.20 Hz; 95% CI, -0.06 to -0.33; P = .005) while their chewing time was shorter (-4.9 minutes; 95% CI, 0.2-9.7; P = .044). A significant negative correlation was observed between BMI z-score and chewing pace (R = -.41; P = .007), and between BMI z-score and chewing time (R = -0.32; P = .039).
CONCLUSION
The current study suggests that adolescents who are overweight eat at a slower pace for a shorter period of time than their counterparts who are a healthy weight. This unexpected finding based on objective data appears to conflict with existing questionnaire findings but provides impetus for further work testing the effectiveness of changing eating behaviour as a weight-management intervention in youth.

Identifiants

pubmed: 33079494
doi: 10.1111/ijpo.12743
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12743

Informations de copyright

© 2020 World Obesity Federation.

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Auteurs

Ghassan Idris (G)

Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.
Metro North Hospital and Health Service, Queensland Children's Hospital, Brisbane, Queensland, Australia.

Claire Smith (C)

Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Department of Human Nutrition, University of Otago, Dunedin, New Zealand.

Barbara Galland (B)

Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.

Rachael Taylor (R)

Department of Medicine, University of Otago, Dunedin, New Zealand.

Christopher J Robertson (CJ)

Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.

Hamza Bennani (H)

Department of Computer Science, University of Otago, Dunedin, New Zealand.

Mauro Farella (M)

Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.

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