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Published on: July 7, 2023
PEPRKD-depression: A knowledge database supporting evidence-based personalized exercise prescription recommendations
Danting Li1,2,3, Jiale Du2, Ting Bao1
1Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Digital Health
|June 4, 2026
Summary
A new database, PEPRKD-Depression, organizes exercise interventions for depression. This resource aims to advance personalized exercise prescription for mental health by integrating diverse research findings.
Area of Science:
- Mental Health Research
- Exercise Science
- Data Science
Background:
- Depression is a widespread mental health issue with significant societal impact.
- Exercise is a recognized non-pharmacological treatment for depression, but research is fragmented.
- Personalized exercise prescription requires a structured knowledge base to address variability and safety.
Purpose of the Study:
- To develop the Personalized Exercise Prescription Recommendation Knowledge Database for Depression (PEPRKD-Depression).
- To systematically integrate existing literature on exercise interventions for depression.
- To establish a foundation for personalized exercise recommendations in depression management.
Main Methods:
- Data were extracted from PubMed studies on exercise and depression (1960-2023).
- Information on exercise programs, patient details, assessments, adverse events, and outcomes was standardized.
- The database was built using Vue3, hosted on Nginx, and utilized MySQL for data storage.
Main Results:
- PEPRKD-Depression encompasses 567 studies and 769 exercise protocols involving over 100,000 participants globally.
- The database includes 662 depression-related items and details exercise regimens based on the FITT-VPP principle.
- The knowledge database is publicly accessible at https://dpa.bioinf.org.cn/.
Conclusions:
- PEPRKD-Depression offers a comprehensive, structured repository of exercise therapy for depression.
- This database serves as a preliminary resource for personalized exercise recommendation research.
- It supports the development of decision-support tools for exercise-based depression treatment.
Keywords:
decision support tooldepressionexercise prescriptionknowledge databasepersonalized recommendation systemMore Related Videos
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