Accessibility settings

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

Ecological Momentary Assessment (EMA) (527) Mobile Health (mhealth) (5265) mHealth for Wellness, Behavior Change and Prevention (4307) Instruments and Questionnaires for Physical Activity and Lifestyle (159)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57255, first published .
Woman doing a beach stretch with fitness data overlay

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Authors of this article:

Devender Kumar1 Author Orcid Image ;   David Haag1, 2, 3 Author Orcid Image ;   Jens Blechert2, 4 Author Orcid Image ;   Josef Niebauer1, 5 Author Orcid Image ;   Jan David Smeddinck1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Oba T, Moriishi C, Takano K, Katahira K, Kimura K. Mobile-Based Ecological Momentary Intervention for Improving Physical Activity in Adults Without Regular Physical Activity: Pilot Randomized Controlled Trial. JMIR Formative Research 2025;9:e79360 View
  2. Vogelsang A, Nigg C, Ebner-Priemer U, Haag D, Reichert M. Daily Life Studies on Dynamic Within-person Fluctuations of Self-efficacy in the Physical Activity Context: A Scoping Review. Sports Medicine - Open 2026;12(1) View
  3. Charitos S, Thompson L, Brigden A, Bird J. A Health-Related Digital Ecological Momentary Assessment in Children (Aged 5– 11 Years): Systematic Review. Journal of Medical Internet Research 2026;28:e79291 View
  4. Crochiere R, Goel D, Dang I, Kim A, Schumacher L, Zhang F, Arigo D. Identifying momentary predictors of physical activity intentions and behavior among behavioral weight loss participants. Annals of Behavioral Medicine 2026;60(1) View
  5. Zhang B, Zhang S, Wu T. Source-aware step-count representations for explainable prediction of physical activity recovery after a population-level stressor. Experimental Gerontology 2026;224:113308 View