Testing an online measure of portion size selection: a pilot study concerned with the measurement of ideal portion size.
Expected satiation
Expected satiety
Meal size
Online
Pilot
Portion size
Survey
Journal
Pilot and feasibility studies
ISSN: 2055-5784
Titre abrégé: Pilot Feasibility Stud
Pays: England
ID NLM: 101676536
Informations de publication
Date de publication:
17 Sep 2021
17 Sep 2021
Historique:
received:
19
02
2021
accepted:
31
08
2021
entrez:
18
9
2021
pubmed:
19
9
2021
medline:
19
9
2021
Statut:
epublish
Résumé
Portion size is known to be a key driver of food intake. As consumed portions are often pre-planned, 'ideal portion size'-an individual's preferred meal size selected prior to eating-has been identified as a strong predictor of actual consumption. However, assessments of ideal portion size have predominantly relied on laboratory-based computer tasks, limiting use online. Therefore, this cross-sectional study sought to pilot test the validity of a web-based tool to measure ideal portion size. In an online study (N = 48), participants responded to images of a range of foods. Each food was photographed in a series of different portions and loaded into an 'image carousel' that would allow participants to change the size of the displayed portion by moving a slider left-to-right. Using this image carousel, participants selected their ideal portion size. They also completed measures of expected satiety and expected satiation and self-reported their age and body mass index (BMI). A non-parametric correlation matrix was used to explore associations between ideal portion size and identified predictors of food intake. Supporting convergent validity of this measure, ideal portion size was significantly correlated with expected satiety (r Pilot results support the validity of this web-based portion size selection tool used to measure ideal portion size, though further research is needed to validate use with comparisons to actual food intake.
Sections du résumé
BACKGROUND
BACKGROUND
Portion size is known to be a key driver of food intake. As consumed portions are often pre-planned, 'ideal portion size'-an individual's preferred meal size selected prior to eating-has been identified as a strong predictor of actual consumption. However, assessments of ideal portion size have predominantly relied on laboratory-based computer tasks, limiting use online. Therefore, this cross-sectional study sought to pilot test the validity of a web-based tool to measure ideal portion size.
METHODS
METHODS
In an online study (N = 48), participants responded to images of a range of foods. Each food was photographed in a series of different portions and loaded into an 'image carousel' that would allow participants to change the size of the displayed portion by moving a slider left-to-right. Using this image carousel, participants selected their ideal portion size. They also completed measures of expected satiety and expected satiation and self-reported their age and body mass index (BMI). A non-parametric correlation matrix was used to explore associations between ideal portion size and identified predictors of food intake.
RESULTS
RESULTS
Supporting convergent validity of this measure, ideal portion size was significantly correlated with expected satiety (r
CONCLUSIONS
CONCLUSIONS
Pilot results support the validity of this web-based portion size selection tool used to measure ideal portion size, though further research is needed to validate use with comparisons to actual food intake.
Identifiants
pubmed: 34535184
doi: 10.1186/s40814-021-00908-x
pii: 10.1186/s40814-021-00908-x
pmc: PMC8446476
doi:
Types de publication
Journal Article
Langues
eng
Pagination
177Subventions
Organisme : Economic and Social Research Council
ID : ES/P00069X/1, Studentship 197139
Informations de copyright
© 2021. The Author(s).
Références
Am J Clin Nutr. 1990 Jun;51(6):1100-5
pubmed: 2349925
Br J Nutr. 2009 Aug;102(3):470-7
pubmed: 19216813
Obesity (Silver Spring). 2009 Oct;17(10):1884-90
pubmed: 19543204
Appetite. 2010 Aug;55(1):25-9
pubmed: 20227451
Obes Res. 2004 Mar;12(3):562-8
pubmed: 15044675
Am J Clin Nutr. 2003 May;77(5):1164-70
pubmed: 12716667
Curr Obes Rep. 2015 Mar;4(1):131-40
pubmed: 26627096
Br J Nutr. 2014 Sep 14;112(5):841-51
pubmed: 24998364
Physiol Behav. 2010 Jun 16;100(4):346-9
pubmed: 20303999
Psychol Methods. 2012 Sep;17(3):437-55
pubmed: 22506584
Appetite. 2020 Apr 1;147:104550
pubmed: 31812557
Int J Obes (Lond). 2014 Jul;38 Suppl 1:S9-12
pubmed: 25033963
Appetite. 2020 Jan 1;144:104458
pubmed: 31526837
BMC Public Health. 2020 Sep 24;20(1):1449
pubmed: 32972376
Physiol Behav. 2004 Aug;82(1):109-14
pubmed: 15234598
Nutr Today. 2003 Mar-Apr;38(2):42-53
pubmed: 12698053
Physiol Behav. 2015 Dec 1;152(Pt B):473-8
pubmed: 26037633
Appetite. 2011 Apr;56(2):284-9
pubmed: 21232568
Appetite. 2018 Nov 1;130:321-326
pubmed: 30041813
Appetite. 2009 Feb;52(1):108-14
pubmed: 18831997
Appetite. 2019 May 1;136:70-79
pubmed: 30668967
Appetite. 2008 Sep;51(2):296-301
pubmed: 18467005
Appetite. 2009 Apr;52(2):318-27
pubmed: 19059444
Appetite. 2012 Dec;59(3):933-8
pubmed: 22989621
Adv Nutr. 2014 Nov 14;5(6):829-34
pubmed: 25398749
Br J Nutr. 2012 Feb;107(3):445-9
pubmed: 21733267
Int J Eat Disord. 2009 Mar;42(2):125-9
pubmed: 18803172
Perspect Psychol Sci. 2011 May;6(3):291-8
pubmed: 26168519
Appetite. 2015 Aug;91:83-9
pubmed: 25865660
Int J Obes Relat Metab Disord. 2000 Dec;24(12):1715-25
pubmed: 11126230
Physiol Behav. 2020 Sep 1;223:113001
pubmed: 32522683
J Nutr. 2017 Mar;147(3):404-412
pubmed: 28148681
Clin Nutr. 2010 Apr;29(2):160-9
pubmed: 19828215
Am J Public Health. 2002 Feb;92(2):246-9
pubmed: 11818300
Appetite. 2015 Dec;95:203-10
pubmed: 26162952
JAMA. 2003 Jan 22-29;289(4):450-3
pubmed: 12533124
Appetite. 2013 Jan;60(1):51-57
pubmed: 23032303
Foods. 2021 May 18;10(5):
pubmed: 34070072
Appetite. 2017 Apr 1;111:203-207
pubmed: 27836636
Am J Clin Nutr. 2010 May;91(5):1237-43
pubmed: 20219955
Am J Clin Nutr. 2002 Dec;76(6):1207-13
pubmed: 12450884
Nutrients. 2020 Feb 20;12(2):
pubmed: 32093261