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This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (4356) Text-messaging (SMS, WeChat etc)-Based Interventions (941) Innovations and Technology for Physical Activity Education (1085)

Published on in Vol 8, No 4 (2020): April

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Temporal Dynamics of Treatment Receipt in a Text Message Intervention for Physical Activity: Single-Group, Within-Person Trial

Temporal Dynamics of Treatment Receipt in a Text Message Intervention for Physical Activity: Single-Group, Within-Person Trial

Authors of this article:

David E Conroy1 Author Orcid Image ;   Chih-Hsiang Yang2 Author Orcid Image ;   Stephanie T Lanza3 Author Orcid Image ;   Joshua M Smyth4 Author Orcid Image ;   Constantino M Lagoa5 Author Orcid Image
Article Authors Cited by (6) Tweetations (13) Metrics

Journals

  1. Conroy D, Lagoa C, Hekler E, Rivera D. Engineering Person-Specific Behavioral Interventions to Promote Physical Activity. Exercise and Sport Sciences Reviews 2020;48(4):170 View
  2. Middleton M, Somerset S, Evans C, Blake H. Test@Work Texts: Mobile Phone Messaging to Increase Awareness of HIV and HIV Testing in UK Construction Employees during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020;17(21):7819 View
  3. Silva C, Horsham C, Kou K, Baade P, Soyer H, Janda M. Factors influencing participants’ engagement with an interactive text-message intervention to improve sun protection behaviors: “SunText” randomized controlled trial. Translational Behavioral Medicine 2022;12(3):433 View
  4. Wu J, Chen J, Min L, Paul B, Keedy J, Ellimoottil C. Prompted Text-Based Vital Sign Recording Versus Unprompted Electronic Medical Record Entries in Patients With Advanced Heart Failure: Observational Study. JMIR Formative Research 2026;10:e71641 View
  5. Liu Y, Tabaczynski A, Abdullah S, Benson L, Conroy D. Optimizing generative artificial intelligence prompts to engage urges for physical activity in middle-aged and older adults. Annals of Behavioral Medicine 2026;60(1) View
  6. Kim I, Kunchay S, Abdullah S, Conroy D, Zare A. DOSE: An open-source, iOS watch-based tool for experience sampling. PLOS Digital Health 2026;5(8):e0001627 View