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

NIH mHealth - funded projects (79) Web-based and Mobile Health Interventions (4018) Behavior Change (863) Anxiety and Stress Disorders (1330)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58985, first published .
Adaptive Just-in-Time Intervention to Reduce Everyday Stress Responses: Protocol for a Randomized Controlled Trial

Adaptive Just-in-Time Intervention to Reduce Everyday Stress Responses: Protocol for a Randomized Controlled Trial

Adaptive Just-in-Time Intervention to Reduce Everyday Stress Responses: Protocol for a Randomized Controlled Trial

Authors of this article:

Jillian A Johnson1 Author Orcid Image ;   Matthew J Zawadzki2 Author Orcid Image ;   Martin J Sliwinski3 Author Orcid Image ;   David M Almeida3 Author Orcid Image ;   Orfeu M Buxton4 Author Orcid Image ;   David E Conroy5 Author Orcid Image ;   David Marcusson-Clavertz6 Author Orcid Image ;   Jinhyuk Kim7 Author Orcid Image ;   Robert S Stawski8 Author Orcid Image ;   Stacey B Scott9 Author Orcid Image ;   Christopher N Sciamanna10 Author Orcid Image ;   Paige A Green11 Author Orcid Image ;   Emily M Repka12 Author Orcid Image ;   Meynard John L Toledo13 Author Orcid Image ;   Nicole L Sturges14 Author Orcid Image ;   Joshua M Smyth15 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Paniagua-Gómez M, Fernandez-Carmona M. Trends and Challenges in Real-Time Stress Detection and Modulation: The Role of the IoT and Artificial Intelligence. Electronics 2025;14(13):2581 View