Cited by 182Mobile Health and mHealth ApplicationsBehavioral Health and InterventionsDiabetes Management and Education

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions

Open access
Van Rhoon, Luke, Byrne, Molly, Morrissey, Eimear, Murphy, Jane, McSharry, Jenny·2020·DIGITAL HEALTH

Abstract

Objectives: Our aim was to conduct a systematic review to determine which technology-driven diabetes prevention interventions were effective in producing clinically significant weight loss, and to identify the behaviour change techniques and digital features frequently used in effective interventions. Methods: We searched five databases (CINAHL, EMBASE, MEDLINE, PsychINFO, and Pubmed) from inception to September 2018 and reviewed 19 experimental and non-experimental studies of 21 technology-driven diet plus physical activity interventions for adults (≥18 years) at risk of developing type 2 diabetes. Behaviour change techniques were coded using the BCT taxonomy v1, and digital features were identified via thematic analysis of intervention descriptions. Results: Sixty-three per cent of interventions were effective in the short term (achieving ≥3% weight loss at ≤6 months), using an average of 5.6 more behaviour change techniques than non-effective interventions, and 33% were effective in the long term (achieving ≥5% weight loss at ≥12 months), using 3.7 more behaviour change techniques than non-effective interventions. The techniques of social support (unspecified), goal setting (outcome/behaviour), feedback on behaviour, and self-monitoring of outcome(s) of behaviour were identified in over 90% of effective interventions. Interventions containing digital features that facilitated health and lifestyle education, behaviour/outcome tracking, and/or online health coaching were most effective. Conclusion: The integration of specific behaviour change techniques and digital features may optimise digital diabetes prevention interventions to achieve clinically significant weight loss. Additional research is needed to identify the mechanisms in which behaviour change techniques and digital features directly influence physical activity, dietary behaviours, and intervention engagement.

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Research works printed but not linked: 4

  1. Dunkley AJ, 2014, Am Diabetes Assoc, 37, 922
  2. Clarivate Analytics., 2011, EndNote X5 reference managament software
  3. Veritas Health Innovation., 2019, Covidence systematic review software
  4. Ashra NB, 2015, A systematic review and meta-analysis assessing the effectiveness of pragmatic lifestyle interventions for the prevention of type 2 diabetes mellitus in routine practice

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Metadata

Authors
Van Rhoon, L., Byrne, M., Morrissey, E., Murphy, J., & McSharry, J.
Affiliations
  • Health Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Ireland
  • Ollscoil na Gaillimhe – University of Galway (IE)
Venue
DIGITAL HEALTH
Published
2020-01
Volume
6
Pages
2055207620914427-2055207620914427
ISSN
2055-2076 (ISSN-L)
OpenAlex
W3014088184
Cited by
182
References
76
Citations by year
2026: 21 · 2025: 35 · 2024: 38 · 2023: 28 · 2022: 30 · 2021: 27 · 2020: 3
FWCI
4.19
Type
journal article
Language
en
Open access
Locations
  • Digital Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National University of Ireland, Galway (Hardiman Scholarship)
  • Irish Research Council (GOIPG/2019/1355)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
type 2 diabetes prevention, behaviour change techniques, digital health interventions, weight loss, BCT taxonomy, social support, goal setting, self-monitoring, lifestyle education, intervention engagement

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