ClinicalTrials.gov
public full text
Public Domain
GoalTracker: Comparing Self-Monitoring Strategies for Weight Loss
This study is a randomized controlled trial that compares 3 self-monitoring approaches for weight loss. GoalTracker is a standalone, technology-based intervention using a commercial smartphone app (MyFitnessPal) and email. The investigators hypothesize that the group that delays diet tracking and receives additional intervention components (weekly personalized feedback, skills training, and action plans) will have greater weight loss at the end of the 12-week intervention and at 6-month followup, compared to (a) an intervention group that simultaneously tracks weight and diet for all 12 weeks and receives the same additional components, and (b) a control group that tracks only diet.
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
- A Social-networking-site(SNS) Based Weight Loss Behavior Intervention- the Effect of Social Network and Multi-level Factors on Weight Loss#967702
- A Weight Loss RCT Comparing Keyto vs Weight Watchers#842035
- Self-monitoring Activity: a Randomized Trial of Game-oriented Applications#858637
- Persons With Obesity (PwO) Exploratory Research#840891
- Health Coach Intervention Pilot Study#901052
Record · ID 871019
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