Construal beliefs moderate the usability and effectiveness of a novel healthy eating mobile app.

Construal Level Theory Healthy Eating Tailoring User Experience Weight Change mhealth

Journal

Physiology & behavior
ISSN: 1873-507X
Titre abrégé: Physiol Behav
Pays: United States
ID NLM: 0151504

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 22 11 2019
revised: 24 04 2020
accepted: 28 04 2020
pubmed: 15 5 2020
medline: 22 6 2021
entrez: 15 5 2020
Statut: ppublish

Résumé

Reduced self-control is a strong predictor of overeating and obesity. Priming a high construal level mind-set has been shown to enhance self-control and reduce snack consumption in the lab but the long-term and real-world effects are not known. The use of digital technology is an efficient way to deliver priming cues in real-world settings. Many mobile apps claim to support healthy eating but few are grounded in psychological theories of self-control. The aim of this study was to test the feasibility and effectiveness of a novel, construal-theory-based mobile app to promote self-control and healthy eating. In an exploratory analysis, the moderating influence of user characteristics was also examined. Using an iterative process involving users at every stage of the process, a prototype mobile app was developed. The final version included a high construal, self-control priming task, sent personalised reminder cues before each eating occasion, provided a just-in time 'crave-buster' for unanticipated eating opportunities and an optional food log. In a longitudinal trial the app was used over an eight-week period (N=71; 51 females; M (SD) Age = 33.34 (11.68) years; M (SD) BMI = 26.22 (4.94)) with pre-post measures of weight, percent body fat and dietary intake. The app received high usability ratings on the System Usability Scale (M=76.55; SD=11.35), however food intake, per cent body fat and weight pre- and post- app use showed no significant change (p>.05). Exploratory analyses showed that baseline construal belief moderated the extent to which engagement with the app predicted dietary changes (p<.05). These findings indicate that this novel app was user-friendly and effective but that this was dependent on the user's characteristics. Future development in this area should consider tailoring apps to the specific characteristics of the user for improved support and effectiveness.

Identifiants

pubmed: 32407831
pii: S0031-9384(20)30255-9
doi: 10.1016/j.physbeh.2020.112941
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

112941

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Menna Price (M)

Department of Psychology, Swansea University, UK. Electronic address: m.j.price@swansea.ac.uk.

Suzanne Higgs (S)

School of Psychology, University of Birmingham, UK.

Laura Wilkinson (L)

Department of Psychology, Swansea University, UK.

Michelle Lee (M)

Department of Psychology, Swansea University, UK.

Rochelle Embling (R)

Department of Psychology, Swansea University, UK.

Paula Kuberka (P)

Department of Psychology, Swansea University, UK.

Alexandra Hamill (A)

Department of Psychology, Swansea University, UK.

Jordan Collier (J)

Computational Foundry, Swansea University, UK.

Samuel Keable-Steer (S)

Computational Foundry, Swansea University, UK.

Thomas Reitmaier (T)

Computational Foundry, Swansea University, UK.

Sabarna Mukhopadhyay (S)

SymlConnect, Swansea, UK.

Stephen Lindsay (S)

Computational Foundry, Swansea University, UK.

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Classifications MeSH