Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134364
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Type: Journal article
Title: Behaviour change techniques in weight gain prevention interventions in adults of reproductive age: meta-analysis and meta-regression
Author: Awoke, M.A.
Harrison, C.L.
Martin, J.
Misso, M.L.
Lim, S.
Moran, L.J.
Citation: Nutrients, 2022; 14(1):209-1-209-15
Publisher: MDPI AG
Issue Date: 2022
ISSN: 2072-6643
2072-6643
Statement of
Responsibility: 
Mamaru Ayenew Awoke, Cheryce L. Harrison, Julie Martin, Marie L. Misso, Siew Lim and Lisa J. Moran
Abstract: Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.
Keywords: Behaviour change techniques; weight gain prevention; reproductive age; meta-analysis; meta-regression
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
DOI: 10.3390/nu14010209
Grant ID: http://purl.org/au-research/grants/nhmrc/1171142
Published version: http://dx.doi.org/10.3390/nu14010209
Appears in Collections:Medicine publications

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