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Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression
Journal article   Peer reviewed

Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression

Michael P. Berry, Christina Chwyl, Abigail L. Metzler, Jasmine H. Sun, Hannah Dart and Evan M. Forman
Health psychology review, v ahead-of-print(ahead-of-print)
06 Oct 2022

Abstract

behaviour change techniques Digital interventions meta-regression Michie taxonomy systematic review weight loss
Automated digital interventions for weight loss represent a highly scalable and potentially cost-effective approach to treat obesity. However, current understanding of the active components of automated digital interventions is limited, hindering efforts to improve efficacy. Thus, the current systematic review and meta-analysis (preregistration: PROSPERO 2021-CRD42021238878) examined relationships between utilisation of behaviour change techniques (BCTs) and the efficacy of automated digital interventions for producing weight loss. Electronic database searches (December 2020 to March 2021) were used to identify trials of automated digital interventions reporting weight loss as an outcome. BCT clusters were coded using Michie's 93-item BCT taxonomy. Mixed-effects meta-regression was used to examine moderating effects of BCT clusters and techniques on both within-group and between-group measures of weight change. One hundred and eight conditions across sixty-six trials met inclusion criteria (13,672 participants). Random-effects meta-analysis revealed a small mean post-intervention weight loss of −1.37 kg (95% CI, −1.75 to −1.00) relative to control groups. Interventions utilised a median of five BCT clusters, with goal-setting, feedback and providing instruction on behaviour being most common. Use of Reward and Threat techniques, and specifically social incentive/reward BCTs, was associated with a higher between-group difference in efficacy, although results were not robust to sensitivity analyses.

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Web of Science research areas
Psychology, Clinical
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