Meal-to-meal and day-to-day macronutrient variation in an ad libitum vending food paradigm.

Ad libitum Calories Food intake Macronutrient content Macronutrient regulation Vending machine

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
01 04 2022
Historique:
received: 27 10 2021
revised: 11 01 2022
accepted: 18 01 2022
pubmed: 26 1 2022
medline: 25 3 2022
entrez: 25 1 2022
Statut: ppublish

Résumé

Theory posits that macronutrient intake is regulated by protein consumption and adequate intake of protein results in consumption of less carbohydrates and fat. The current study investigates the effect of protein intake on calorie and macronutrient content using an ad libitum vending machine paradigm. Healthy volunteers (n = 287; 177 m; Age = 36 ± 11; BMI = 32 ± 8) were admitted to our clinical research unit. Macronutrient meal content (grams) and energy intake (Kcal) were quantified by specialized food processing software and collected on an hourly basis over a three-day period using a validated ad libitum vending machine paradigm. Body composition was assessed by DXA. Lagged multi-level models accounting for age, sex, race/ethnicity, fat and fat free mass indices were fitted to examine the impact of prior macronutrient content on subsequent meals. Protein intake was associated with decreased energy intake (Kcal; B = -1.67 kcal, p = 0.0048), lower protein and carbohydrate intake (B = -0.08 g, p = 0.0006; B = -0.21 g, p = 0.0003, respectively) at subsequent meals. Daily Macronutrient intake and subsequent intake were positively associated. Dietary protein exhibits a negative regulatory effect on a short-term meal-to-meal rather than day-to-day basis. In the setting of readily available food, protein intake impacts energy intake only over very short time courses.

Sections du résumé

BACKGROUND
Theory posits that macronutrient intake is regulated by protein consumption and adequate intake of protein results in consumption of less carbohydrates and fat. The current study investigates the effect of protein intake on calorie and macronutrient content using an ad libitum vending machine paradigm.
METHODS
Healthy volunteers (n = 287; 177 m; Age = 36 ± 11; BMI = 32 ± 8) were admitted to our clinical research unit. Macronutrient meal content (grams) and energy intake (Kcal) were quantified by specialized food processing software and collected on an hourly basis over a three-day period using a validated ad libitum vending machine paradigm. Body composition was assessed by DXA. Lagged multi-level models accounting for age, sex, race/ethnicity, fat and fat free mass indices were fitted to examine the impact of prior macronutrient content on subsequent meals.
RESULTS
Protein intake was associated with decreased energy intake (Kcal; B = -1.67 kcal, p = 0.0048), lower protein and carbohydrate intake (B = -0.08 g, p = 0.0006; B = -0.21 g, p = 0.0003, respectively) at subsequent meals. Daily Macronutrient intake and subsequent intake were positively associated.
CONCLUSIONS
Dietary protein exhibits a negative regulatory effect on a short-term meal-to-meal rather than day-to-day basis. In the setting of readily available food, protein intake impacts energy intake only over very short time courses.

Identifiants

pubmed: 35074459
pii: S0195-6663(22)00035-6
doi: 10.1016/j.appet.2022.105944
pmc: PMC8842501
mid: NIHMS1774756
pii:
doi:

Substances chimiques

Dietary Carbohydrates 0
Dietary Fats 0

Banques de données

ClinicalTrials.gov
['NCT00342732']

Types de publication

Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

105944

Subventions

Organisme : Intramural NIH HHS
ID : Z99 DK999999
Pays : United States

Informations de copyright

Published by Elsevier Ltd.

Références

Trends Endocrinol Metab. 2015 May;26(5):256-62
pubmed: 25771038
Int J Obes (Lond). 2014 Feb;38(2):243-51
pubmed: 23736368
Am J Clin Nutr. 2020 Jul 1;112(1):180-186
pubmed: 32297956
Appetite. 1999 Aug;33(1):119-28
pubmed: 10447984
J Clin Endocrinol Metab. 2006 Apr;91(4):1477-83
pubmed: 16434457
Cell Rep. 2019 Jun 4;27(10):2934-2947.e3
pubmed: 31167139
Endocrinology. 2020 Mar 1;161(3):
pubmed: 32047920
Annu Rev Nutr. 2016 Jul 17;36:603-26
pubmed: 27296501
Thyroid. 2019 Sep;29(9):1209-1219
pubmed: 31298652
Diabetes. 2019 Feb;68(2):318-323
pubmed: 30257977
Ann N Y Acad Sci. 1993 Jun 14;683:122-40
pubmed: 8352435
Am J Clin Nutr. 2008 Oct;88(4):900-5
pubmed: 18842774
Am J Clin Nutr. 2010 Feb;91(2):343-8
pubmed: 19923376
Obes Rev. 2010 Dec;11(12):887-94
pubmed: 20230444
Am J Physiol Gastrointest Liver Physiol. 2012 Jul;303(1):G129-40
pubmed: 22556143
Physiol Behav. 1988;43(2):159-65
pubmed: 3212051
Obesity (Silver Spring). 2019 Aug;27(8):1225-1238
pubmed: 31339001
Obes Rev. 2005 May;6(2):133-42
pubmed: 15836464
Eur J Clin Nutr. 2018 Sep;72(9):1215-1220
pubmed: 30185839
Appetite. 2012 Oct;59(2):312-5
pubmed: 22634200
Cell Metab. 2019 Jul 2;30(1):67-77.e3
pubmed: 31105044
Am J Clin Nutr. 1995 Apr;61(4 Suppl):952S-959S
pubmed: 7900694
Diabetes Care. 2007 Jan;30 Suppl 1:S42-7
pubmed: 17192378
J Nutr. 2004 Apr;134(4):974S-9S
pubmed: 15051857
Physiol Behav. 1970 Nov;5(11):1299-302
pubmed: 5524514
Obesity (Silver Spring). 2018 Apr;26(4):689-695
pubmed: 29504262
J Acad Nutr Diet. 2014 Mar;114(3):444-449
pubmed: 24321742
Am J Clin Nutr. 1991 Jun;53(6):1368-71
pubmed: 2035463
Am J Clin Nutr. 2013 Jan;97(1):86-93
pubmed: 23221572
Ann N Y Acad Sci. 1987;499:104-23
pubmed: 3300476
Public Health Nutr. 2018 Jan;21(1):114-124
pubmed: 29032787
Obes Rev. 2014 Mar;15(3):183-91
pubmed: 24588967
Physiol Behav. 1998 Mar;63(5):919-28
pubmed: 9618017
Nat Rev Endocrinol. 2019 May;15(5):288-298
pubmed: 30814686
Am J Clin Nutr. 2013 May;97(5):980-9
pubmed: 23466396
J Clin Invest. 2014 Sep;124(9):3913-22
pubmed: 25133427
Curr Opin Clin Nutr Metab Care. 2010 Jan;13(1):52-7
pubmed: 19841581
J Nutr. 1998 Jan;128(1):61-7
pubmed: 9430603
J Clin Endocrinol Metab. 2004 Jun;89(6):2951-6
pubmed: 15181083

Auteurs

Tomás Cabeza de Baca (T)

Phoenix Epidemiology and Clinical Research Branch, NIDDK, NIH, Phoenix, AZ, USA. Electronic address: tommy.cabezadebaca@nih.gov.

Paolo Piaggi (P)

Phoenix Epidemiology and Clinical Research Branch, NIDDK, NIH, Phoenix, AZ, USA.

Marci E Gluck (ME)

Phoenix Epidemiology and Clinical Research Branch, NIDDK, NIH, Phoenix, AZ, USA.

Jonathan Krakoff (J)

Phoenix Epidemiology and Clinical Research Branch, NIDDK, NIH, Phoenix, AZ, USA.

Susanne B Votruba (SB)

Phoenix Epidemiology and Clinical Research Branch, NIDDK, NIH, Phoenix, AZ, USA.

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Classifications MeSH