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

Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Wellness, Behavior Change and Prevention (2872) mHealth for Data Collection and Research (955) Behavior Change (712) Wearable Devices and Sensors (889)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44296, first published .
Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study

Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study

Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study

Authors of this article:

Junghwan Park1, 2, 3, 4 Author Orcid Image ;   Gregory J Norman1, 5 Author Orcid Image ;   Predrag Klasnja6 Author Orcid Image ;   Daniel E Rivera7 Author Orcid Image ;   Eric Hekler1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (9) Metrics

Journals

  1. Park J, Kim M, El Mistiri M, Kha R, Banerjee S, Gotzian L, Chevance G, Rivera D, Klasnja P, Hekler E. Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions. JMIR Research Protocols 2023;12:e52161 View