PubMed
open access
Using digital measures to predict sleep impairment in adolescents with mood disorders treated with antidepressants.
Evidence on the use of consumer-based wearables to inform care for youth with mood disorders on antidepressants is limited. We assessed whether longitudinal data from a mobile app and a wearable could be used to characterize sleep among these youth.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Digitally Enhanced Cognitive-Behavioral Therapy#892786
- Antidepressant Adherence for Depressed Adults in Primary Care#994079
- Effect of a Programme Including an AI-enhanced Mobile Application on the Mental Well- Being of Young Adolescents in Hong Kong#859086
- Development and validation of single-item experience sampling measures of wellbeing in teens.#415244
- Better Nights, Better Days for Children With Neurodevelopment Disorders#861437
Record · ID 1092211
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive