The YourMove Study: Optimizing Individualized and Adaptive mHealth Interventions Via Control Systems Engineering Methods
NCT05598996 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 386
Last updated 2026-02-13
Summary
The purpose of this study is to determine the efficacy of a new digital health tool that uses a phone and smartwatch to encourage physical activity and increase weekly amounts of Moderate to Vigorous Physical Activity (MVPA) over 12 months among adults compared to a digital health intervention that mimics a standard of care corporate wellness program.
Conditions
- Inactivity, Physical
- Sedentary Behavior
Interventions
- BEHAVIORAL
-
COT-Based Intervention
The COT-based approach uses a controller that runs case-by-case dynamical systems simulations modeling based on answers to daily questions rooted in social cognitive theory to produce ambitious but achievable daily adaptive step goal recommendations. The process for the COT-based approach is as follows: Phase 1) 2-week measurement only; Phase 2) open-loop system identification experiment (meant to create individualized dynamical models for each participant); Phase 3) closed-loop experiment to optimize for PA initiation, and Phase 4) closed-loop experiment to optimize for PA maintenance.
Sponsors & Collaborators
-
Arizona State University
collaborator OTHER - collaborator OTHER
-
National Cancer Institute (NCI)
collaborator NIH -
Small Steps Labs, LLC
collaborator UNKNOWN -
University of California, San Diego
lead OTHER
Principal Investigators
-
Eric Hekler, PhD · University of California, San Diego
-
Daniel Rivera, PhD · Arizona State University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 25 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-10-07
- Primary Completion
- 2025-11-08
- Completion
- 2025-11-08
Countries
- United States
Study Locations
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