ClinicalTrials.gov
public full text
Public Domain
Mood Lifters Online for Graduate Students and Young Professionals
Mood Lifters is a revolutionary mental wellness program that teaches scientifically validated strategies in a supportive group setting. This study will test two new versions of the program designed specifically for graduate students and young professionals. Participants will need to attend 12 hour long virtual weekly meetings on Zoom that focus on helpful mental health strategies and skills. Participants will be encourage to practice what the participants learn at home in order to improve their mood or mental wellness. Additionally, participants will complete a series of measures (approx. 1-1.5 hours) prior to, at the end of the program, 1 month after the program and 6 months after the program.
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
- Adapting Project UPLIFT for Hispanic Patients With Epilepsy II#847634
- A Study Protocol on Peer Digital Acceset (PDA)#991728
- REACHOUT Mental Health Support Mobile App#1059793
- Clinical Outcomes of a Digital Mental Health Intervention for Moderate/Severe Depression and Anxiety#981273
- Efficacy of Three Online Well-Being Programs to Improve Work-Related Outcomes#1059300
Record · ID 874565
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