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

Physical Activity for Older People (223) Mobile Health (mhealth) (3151) Web-based and Mobile Health Interventions (3627) Prevention and Health Promotion (1130) Fitness Trackers and Smart Pedometers/Accelerometers (610) Innovations and Technology for Physical Activity Education (816) mHealth for Wellness, Behavior Change and Prevention (3096) Ecological Momentary Assessment (EMA) (350)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44425, first published .
Within-Person Associations of Accelerometer-Assessed Physical Activity With Time-Varying Determinants in Older Adults: Time-Based Ecological Momentary Assessment Study

Within-Person Associations of Accelerometer-Assessed Physical Activity With Time-Varying Determinants in Older Adults: Time-Based Ecological Momentary Assessment Study

Within-Person Associations of Accelerometer-Assessed Physical Activity With Time-Varying Determinants in Older Adults: Time-Based Ecological Momentary Assessment Study

Authors of this article:

Iris Maes1 Author Orcid Image ;   Lieze Mertens1, 2 Author Orcid Image ;   Louise Poppe2, 3 Author Orcid Image ;   Tomas Vetrovsky4 Author Orcid Image ;   Geert Crombez5 Author Orcid Image ;   Femke De Backere6 Author Orcid Image ;   Ruben Brondeel7 Author Orcid Image ;   Delfien Van Dyck1 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Compernolle S, Vetrovsky T, Maes I, Delobelle J, Lebuf E, De Vylder F, Cnudde K, Van Cauwenberg J, Poppe L, Van Dyck D. Older adults’ compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  2. Daniels K, Vonck S, Robijns J, Quadflieg K, Bergs J, Spooren A, Hansen D, Bonnechère B. Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study. JMIR Aging 2025;8:e63348 View
  3. Daniels K, Quadflieg K, Robijns J, De Vry J, Van Alphen H, Van Beers R, Sourbron B, Vanbuel A, Meekers S, Mattheeussen M, Spooren A, Hansen D, Bonnechère B. From Steps to Context: Optimizing Digital Phenotyping for Physical Activity Monitoring in Older Adults by Integrating Wearable Data and Ecological Momentary Assessment. Sensors 2025;25(3):858 View
  4. Janek M, Kuhnova J, Cardon G, Van Dyck D, Cimler R, Elavsky S, Fezeu L, Oppert J, Buck C, Hebestreit A, Harrington J, Sigcha L, Van de Ven P, Donnelly A, Vetrovsky T, Shevchenko Y. Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection. PLOS ONE 2025;20(2):e0318772 View
  5. Delobelle J, Compernolle S, Vetrovsky T, Van Cauwenberg J, Van Dyck D. Contexts, affective and physical states and their variations during physical activity in older adults: an intensive longitudinal study with sensor-triggered event-based ecological momentary assessments. International Journal of Behavioral Nutrition and Physical Activity 2025;22(1) View
  6. Poppe L, De Paepe A, Deforche B, Van Dyck D, Loeys T, Van Cauwenberg J. Experience sampling method studies in physical activity research: the relevance of causal reasoning. International Journal of Behavioral Nutrition and Physical Activity 2025;22(1) View
  7. Maes I, Latomme J, Vetrovsky T, Kühnová J, Mertens L, Cardon G, Van Dyck D. The influence of individual‐level determinants on compliance with mHealth walking suggestions and older adults' experiences: A longitudinal exploratory mixed methods study. Applied Psychology: Health and Well-Being 2025;17(3) View