Analysis of Participant-Level Characteristics Predicting Adherence to Long-Term EMA and Fitbit Monitoring in the 4HAIE Prospective Cohort Study
Sustained long-term monitoring with mobile surveys and wearables is feasible in large cohorts. Adherence was lower among participants with poorer physical health, higher BMI, and stronger controlled motivation, suggesting that protocols which reduce burden, promote autonomous rather than externally driven motivation, and provide additional support for individuals with health-related barriers may help optimize adherence and data quality.
Authors
- Barbora Kaštovská (ORCID: https://orcid.org/0000-0002-4058-3461)
- Lenka Knapová (ORCID: https://orcid.org/0000-0002-1366-8961)
- Denisa Blaschová (ORCID: https://orcid.org/0009-0003-7906-9448)
- Steriani Elavsky (ORCID: https://orcid.org/0000-0002-5070-0481)
- Michal Sebera
- Melanie Revilla
- Veronika Uhrová
- Abigail Lashinsky
- Michal Burda
- Roman Filo
Institutions
- Universitat Pompeu Fabra (ES)
- University of Ostrava (CZ)
- State University of New York at Oswego (US)
Publication Details
- Journal
- International Journal of Behavioral Medicine
- Published
- 2026-02-13
- DOI
- https://doi.org/10.1007/s12529-025-10433-3
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Ostravská Univerzita v Ostravě