Development of Momentary Appetite Capture (MAC): A versatile tool for monitoring appetite over long periods.

Appetite Desire to eat Ecological momentary assessment Fullness Hunger Portion size

Journal

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

Informations de publication

Date de publication:
09 Dec 2023
Historique:
received: 04 06 2023
revised: 01 12 2023
accepted: 05 12 2023
medline: 12 12 2023
pubmed: 12 12 2023
entrez: 11 12 2023
Statut: aheadofprint

Résumé

Understanding how an intervention impacts appetite in real-life settings and over several days remains a challenging and under-explored research question. To this end, we developed Momentary Appetite Capture (MAC), a form of ecological momentary assessment that combines automated text messaging with an online platform. Participants report their appetite using visual-analogue scales (hunger, desire to eat, and fullness) and a virtual portion-size selection task. In two separate studies, we assessed the feasibility and test-retest reliability of MAC. Participants were prompted every 2 h over a 14-h window, and they repeated this assessment over two consecutive weekdays. For each participant, we calculated a daily time-averaged area under the curve (AUC) for each appetite measure. In Study One (N = 25) time-averaged AUC was significantly positively correlated across test days for hunger (r = 0.563, p = .003), desire to eat (r = 0.515, p = .008) and prospective portion size (r = 0.914, p < .001), but not for fullness (r = 0.342, p = .094). Participants completed 95% of MACs (380 of 400), and we used participant feedback to improve the MAC tool and study protocol for Study Two. In Study Two (N = 31), 94% of MACs were completed (468 of 496). Across days, time-averaged AUC was significantly positively correlated for hunger (r = 0.595, p = < .001), fullness (r = 0.501, p = .004), desire to eat (r = 0.585, p < .001), and prospective portion size (r = 0.757, p < .001). Together, these studies suggest that MAC could be an acceptable and reliable tool to track appetite throughout the day. In the future, MAC could be used to explore the impact of weight-loss interventions on natural fluctuations in appetite.

Identifiants

pubmed: 38081544
pii: S0195-6663(23)02616-8
doi: 10.1016/j.appet.2023.107154
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107154

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest Dr Elanor Hinton works part-time for Oxford Medical Products as a Clinical Studies Manager. The presented research was conducted prior to commencing the additional role.

Auteurs

Rebecca L Elsworth (RL)

Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, UK. Electronic address: becca.elsworth@bristol.ac.uk.

Elanor C Hinton (EC)

NIHR Bristol Biomedical Research Centre, University of Bristol and University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

Annika N Flynn (AN)

Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, UK.

Lucy H Merrell (LH)

Centre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK.

Julian P Hamilton-Shield (JP)

NIHR Bristol Biomedical Research Centre, University of Bristol and University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

Natalia S Lawrence (NS)

Department of Psychology, University of Exeter, Exeter, UK.

Jeffrey M Brunstrom (JM)

Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, UK; NIHR Bristol Biomedical Research Centre, University of Bristol and University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

Classifications MeSH