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Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals

BACKGROUND: Consumption of ultra-processed foods has been linked with higher energy intakes. Food texture is known to influence eating rate (ER) and energy intake to satiation, yet it remains unclear whether food texture influences energy intakes from minimally processed and ultra-processed meals. O...

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Autores principales: Teo, Pey Sze, Lim, Amanda JiaYing, Goh, Ai Ting, R, Janani, Choy, Jie Ying Michelle, McCrickerd, Keri, Forde, Ciarán G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257473/
https://www.ncbi.nlm.nih.gov/pubmed/35285882
http://dx.doi.org/10.1093/ajcn/nqac068
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author Teo, Pey Sze
Lim, Amanda JiaYing
Goh, Ai Ting
R, Janani
Choy, Jie Ying Michelle
McCrickerd, Keri
Forde, Ciarán G
author_facet Teo, Pey Sze
Lim, Amanda JiaYing
Goh, Ai Ting
R, Janani
Choy, Jie Ying Michelle
McCrickerd, Keri
Forde, Ciarán G
author_sort Teo, Pey Sze
collection PubMed
description BACKGROUND: Consumption of ultra-processed foods has been linked with higher energy intakes. Food texture is known to influence eating rate (ER) and energy intake to satiation, yet it remains unclear whether food texture influences energy intakes from minimally processed and ultra-processed meals. OBJECTIVES: We examined the independent and combined effects of food texture and degree of processing on ad libitum food intake. We also investigated whether differences in energy intake during lunch influenced postmeal feelings of satiety and later food intake. METHODS: In this crossover study, 50 healthy-weight participants [n = 50 (24 men); mean ± SD age: 24.4 ± 3.1 y; BMI: 21.3 ± 1.9 kg/m(2)] consumed 4 ad libitum lunch meals consisting of “soft minimally processed,” “hard minimally processed,” “soft ultra-processed,” and “hard ultra-processed” components. Meals were matched for total energy served, with some variation in meal energy density (±0.20 kcal/g). Ad libitum food intake (kcal and g) was measured and ER derived using behavioral coding of videos. Subsequent food intake was self-reported by food diary. RESULTS: There was a main effect of food texture on intake, whereby “hard minimally processed” and “hard ultra-processed” meals were consumed slower overall, produced a 21% and 26% reduction in food weight (g) and energy (kcal) consumed, respectively. Intakes were higher for “soft ultra-processed” and “soft minimally processed” meals (P < 0.001), after correcting for meal pleasantness. The effect of texture on food weight consumed was not influenced by processing levels (weight of food: texture*processing-effect, P = 0.376), but the effect of food texture on energy intake was (energy consumed: texture*processing-effect, P = 0.015). The least energy was consumed from the “hard minimally processed” meal (482.9 kcal; 95% CI: 431.9, 531.0 kcal) and the most from the “soft ultra-processed” meal (789.4 kcal; 95% CI: 725.9, 852.8 kcal; Δ=↓∼300 kcal). Energy intake was lowest when harder texture was combined with the “minimally processed” meals. Total energy intake across the day varied directly with energy intakes of the test meals (Δ15%, P < 0.001). CONCLUSIONS: Findings suggest that food texture–based differences in ER and meal energy density contribute to observed differences in energy intake between minimally processed and ultra-processed meals. This trial was registered at clinicaltrials.gov as NCT04589221.
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spelling pubmed-92574732022-07-07 Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals Teo, Pey Sze Lim, Amanda JiaYing Goh, Ai Ting R, Janani Choy, Jie Ying Michelle McCrickerd, Keri Forde, Ciarán G Am J Clin Nutr Original Research Communications BACKGROUND: Consumption of ultra-processed foods has been linked with higher energy intakes. Food texture is known to influence eating rate (ER) and energy intake to satiation, yet it remains unclear whether food texture influences energy intakes from minimally processed and ultra-processed meals. OBJECTIVES: We examined the independent and combined effects of food texture and degree of processing on ad libitum food intake. We also investigated whether differences in energy intake during lunch influenced postmeal feelings of satiety and later food intake. METHODS: In this crossover study, 50 healthy-weight participants [n = 50 (24 men); mean ± SD age: 24.4 ± 3.1 y; BMI: 21.3 ± 1.9 kg/m(2)] consumed 4 ad libitum lunch meals consisting of “soft minimally processed,” “hard minimally processed,” “soft ultra-processed,” and “hard ultra-processed” components. Meals were matched for total energy served, with some variation in meal energy density (±0.20 kcal/g). Ad libitum food intake (kcal and g) was measured and ER derived using behavioral coding of videos. Subsequent food intake was self-reported by food diary. RESULTS: There was a main effect of food texture on intake, whereby “hard minimally processed” and “hard ultra-processed” meals were consumed slower overall, produced a 21% and 26% reduction in food weight (g) and energy (kcal) consumed, respectively. Intakes were higher for “soft ultra-processed” and “soft minimally processed” meals (P < 0.001), after correcting for meal pleasantness. The effect of texture on food weight consumed was not influenced by processing levels (weight of food: texture*processing-effect, P = 0.376), but the effect of food texture on energy intake was (energy consumed: texture*processing-effect, P = 0.015). The least energy was consumed from the “hard minimally processed” meal (482.9 kcal; 95% CI: 431.9, 531.0 kcal) and the most from the “soft ultra-processed” meal (789.4 kcal; 95% CI: 725.9, 852.8 kcal; Δ=↓∼300 kcal). Energy intake was lowest when harder texture was combined with the “minimally processed” meals. Total energy intake across the day varied directly with energy intakes of the test meals (Δ15%, P < 0.001). CONCLUSIONS: Findings suggest that food texture–based differences in ER and meal energy density contribute to observed differences in energy intake between minimally processed and ultra-processed meals. This trial was registered at clinicaltrials.gov as NCT04589221. Oxford University Press 2022-03-14 /pmc/articles/PMC9257473/ /pubmed/35285882 http://dx.doi.org/10.1093/ajcn/nqac068 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research Communications
Teo, Pey Sze
Lim, Amanda JiaYing
Goh, Ai Ting
R, Janani
Choy, Jie Ying Michelle
McCrickerd, Keri
Forde, Ciarán G
Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title_full Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title_fullStr Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title_full_unstemmed Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title_short Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
title_sort texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals
topic Original Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257473/
https://www.ncbi.nlm.nih.gov/pubmed/35285882
http://dx.doi.org/10.1093/ajcn/nqac068
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