Using Smartphone-Tracked Behavioral Markers to Recognize Depression and Anxiety Symptoms: Cross-Sectional Digital Phenotyping Study
Collectively, these findings indicate that smartphone-tracked behavioral markers have limited discriminant ability in our study but potential to support future depression/anxiety diagnostics.
Authors
- Raj Jagesar (ORCID: https://orcid.org/0000-0002-5320-3341)
- George Aalbers (ORCID: https://orcid.org/0000-0002-7140-1536)
- Andrea Costanzo (ORCID: https://orcid.org/0000-0002-7158-634X)
- Brenda W.J.H. Penninx (ORCID: https://orcid.org/0000-0001-7779-9672)
- Martien J. Kas (ORCID: https://orcid.org/0000-0002-4471-8618)
- Femke Lamers (ORCID: https://orcid.org/0000-0003-4344-5766)
Institutions
- University of Groningen (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- JMIR Mental Health
- Published
- 2025-10-31
- DOI
- https://doi.org/10.2196/80765
- Citations
- 1
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 1.54
Funders
- European Federation of Pharmaceutical Industries and Associations
- Cohen Veterans Bioscience
- Amsterdam University Medical Centers
- European Commission
- Universiteit Leiden
- Rijksuniversiteit Groningen
- ZonMw
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- GGZ inGeest
- Rivierduinen
- GGZ Friesland
- GGZ Drenthe
- Leids Universitair Medisch Centrum
- Universitair Medisch Centrum Groningen