Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784741352734457856 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9257473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT teopeysze texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT limamandajiaying texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT gohaiting texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT rjanani texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT choyjieyingmichelle texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT mccrickerdkeri texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals AT fordeciarang texturebaseddifferencesineatingrateinfluenceenergyintakeforminimallyprocessedandultraprocessedmeals |