Cited by 4Mobile Health and mHealth ApplicationsBehavioral Health and InterventionsInnovative Human-Technology Interaction

Outcomes of a pilot microrandomized trial of just-in-time adaptive intervention messages nudging weight-related behaviors in young adults

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Valle, Carmina G, Nezami, Brooke T, O’Shea, Nisha Gottfredson, Hatley, Karen E, Tate, Deborah F·2025·DIGITAL HEALTH

Abstract

Objective: There is limited evidence on the effects of various types of intervention messages on achievement of daily behavioral goals in mobile weight loss programs. Nudge, a 12-week pilot microrandomized trial among young adults, tested whether 7 types of intervention messages based on behavior change techniques (BCTs) increased the likelihood of daily goal achievement. Methods: Participants received lessons, tailored feedback, self-monitoring tools, and daily messages, and had daily behavioral goals (weighing, active minutes goal, and red foods limit). Four times/day, participants (N = 52, aged 18–35, body mass index 25–40 kg/m 2 ) were randomized to receive or not receive 1 of 7 types of BCT-based messages. Generalized estimating equations evaluated the effects of receiving a message versus not on daily goal achievement, and of receiving and viewing a message versus not viewing a message. Results: Randomization to receive any message (vs. none) did not impact likelihood of meeting daily goals overall but was associated with fewer red foods tracked (odds ratio (OR) = .96; 95% confidence interval (CI): .94–.98). Randomization to receive (vs. not receive) a social comparison message about red foods was associated with fewer red foods tracked (OR = .92; 95% CI: .85–.99); no other message types were associated with daily goal achievement. Receiving and viewing any message (vs. not viewing) increased odds of achieving daily goals for all 3 behaviors: weighing (OR = 1.91; 95% CI: 1.06–3.43), active minutes (OR = 1.63; 95% CI:1.20–2.20), and red foods limit (OR = 2.09; 95% CI:1.46–3.01). Conclusions: BCT-based messages may nudge achievement of daily goals when participants view them. Further research should explore how to increase and maintain engagement in mobile behavioral interventions. Trial registration: Precision Public Health: Enhancing Connections to Develop Just-in-Time Adaptive Intervention Strategies (Nudge); https://clinicaltrials.gov/study/NCT03836391 ; ClinicalTrials.gov ID: NCT03836391

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Authors
Valle, C. G., Nezami, B. T., O’Shea, N. G., Hatley, K. E., & Tate, D. F.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • Health of Populations Division, Research Triangle Institute, Research Triangle Park, NC, USA
Corresponding author
Valle, Carmina G
Venue
DIGITAL HEALTH
Published
2025-05
Volume
11
Pages
20552076251353267-20552076251353267
ISSN
2055-2076 (ISSN-L)
OpenAlex
W4412072073
Cited by
4
References
11
Citations by year
2026: 4
FWCI
5.05
Type
journal article
Language
en
Open access
Locations
  • Digital Health (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Center for Advancing Translational Sciences (UL1TR002489 to support REDCap at UNC)
  • National Cancer Institute (P30 CA016086 to UNC Lineberger Comp Cancer Ctr)
  • Gillings School of Global Public Health, University of North Carolina at Chapel Hill (Gillings Innovation Lab Award)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK056350 to UNC Nutrition Obesity Research Ctr)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
just-in-time adaptive interventions, nudging, behaviour change techniques, young adults, physical activity, weight monitoring

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