Latent class analysis of actigraphy within the depression early warning (DEW) longitudinal clinical youth cohort
This study of wearable-generated variables among adolescents diagnosed with clinical depression shows that a large amount of longitudinal data is amenable to reduction into a finite number of classes of individuals. Interfacing wearable-generated data with clinical measures can yield insights on the relationships between objective psychobiological measures and symptoms of adolescent depression, and may improve clinical management of depression.
Authors
- Lydia Sequeira (ORCID: https://orcid.org/0000-0002-2715-3918)
- Pantea Fadaiefard
- Madison Aitken (ORCID: https://orcid.org/0000-0002-4921-5462)
- Péter Szatmári (ORCID: https://orcid.org/0000-0002-1763-067X)
- John S. Strauss (ORCID: https://orcid.org/0000-0003-2314-2864)
- Wei Wang (ORCID: https://orcid.org/0000-0002-6822-8162)
- Marco Battaglia
- Jovana Seat
Institutions
- Island Health (CA)
- Centre for Addiction and Mental Health (CA)
- University of Toronto (CA)
- York University (CA)
- Ontario Centre of Excellence for Child and Youth Mental Health (CA)
Publication Details
- Journal
- Child and Adolescent Psychiatry and Mental Health
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1186/s13034-024-00843-8
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centre for Addiction and Mental Health
- Cundill Centre for Child and Youth Depression
- Canadian Institutes of Health Research