Charge: A Text Messaging-based Weight Loss Intervention
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Obesity
- Weight Loss
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Factorial AssignmentIntervention Model Description: The investigators will use a full factorial design to randomize participants to experimental conditions that reflect the texting intervention components: motivational messaging (self- vs expert-generated), texting frequency (daily vs weekly), reminders (one reminder v. multiple reminders), feedback type (summary score v. specific feedback) and comparison unit (to self v. to a group of people). The full factorial design is power efficient, logistically feasible (because we manipulate conditions using technology) and will allow the investigators to examine the most important main and interaction effects among components.Masking: Single (Investigator)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 18 years and 65 years
- Gender
- Both males and females
Description
Standalone text messaging-based weight loss treatments are scalable and can achieve population reach. However, these interventions are also modular; they can be delivered independently to maximize cost-effectiveness or combined with other approaches (e.g. provider counseling) to maximize outcomes. T...
Standalone text messaging-based weight loss treatments are scalable and can achieve population reach. However, these interventions are also modular; they can be delivered independently to maximize cost-effectiveness or combined with other approaches (e.g. provider counseling) to maximize outcomes. This study is a 12-month experimental trial among 448 adults with obesity. All participants will receive a core 6-month weight loss texting intervention that includes tailored behavior change goals, interactive self-monitoring, automated feedback, and skills training. Participants will be randomly assigned to 1 of 32 different experimental conditions.
Tracking Information
- NCT #
- NCT03254940
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Gary G Bennett, PhD Bishop-MacDermott Family Professor of Psychology, Global Health & Medicine
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