- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05273437
The JustWalk JITAI Study: A System Identification Experiment to Understand Just-in-Time States of Physical Activity
Control Systems Engineering for Counteracting Notification Fatigue: An Examination of Health Behavior Change.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
N=50 English-speaking adults aged 21+ who are physically inactive (self-reported engagement in less than 60 minutes/week of moderate-intensity activity) and own a smartphone (iPhone or Android) will be recruited. Participants will be provided with and asked to wear a Fitbit Versa 3 and use the study app, JustWalk, for 270 days.
A system identification experiment, which is a single subject/N-of-1 experimental protocol used in control systems engineering, will be conducted. This study is designed to empirically optimize dynamical models that can be used within a future model-predictive controller-driven just-in-time adaptive intervention (JITAI). This system identification experiment will include two experimentally manipulated components: 1) notifications delivered up to 4 time per day designed to increase a person's steps within the next 3 hours via either increased awareness of the urge to walk or via bout planning; and 2) adaptive daily step goal suggestions. Both components will be experimentally manipulated using procedures appropriate for system identification. Specifically, notifications prompting planning of short walks within the next 3 hours will be experimentally provided or not across variations of need (i.e., whether daily step goals were previously met), opportunity (i.e., the next three hours is a time window when a person previously walked), and receptivity (i.e., person received fewer than 6 messages in the last 72 hours and walked after notifications were sent). This enables experimental manipulation of varying "just-in-time" states, thus providing valuable data for guiding future predictions about when, where, and for whom a bout notification would produce the desired effects compared to not. Thus, this is a hypothesis-driven approach to better understanding issues of notification fatigue by seeking to provide notifications only when said notifications are needed, when a person has the opportunity to act on them, and is receptive to receiving support. In addition, suggested daily step goals will also be varied systematically across time. A suggested step goal will vary between a person's median steps/day, calculated from the person's previous activity measured via Fitbit, up to 3,000 steps above their median reference. The goals will continue to get progressively more difficult if a person meets their suggested step goals. The system will stop increasing suggested step goals if a person achieves a median of 12,000 steps/day as their reference. During the study, participants will wear a Fitbit for the duration to measure PA and also fill out ecological momentary assessment surveys of psychological constructs hypothesized to be key variables for the targeted dynamical computational models.
After study completion, dynamical modeling analyses appropriate for system identification will be conducted for each participant (see references for more details on the types of analyses that will be conducted). The goal is to estimate and validate the dynamical computational models, with a particular benchmark used on the degree to which a dynamical model can predict, prospectively, each person's future steps/day and response to a particular bout notification. Results from this dynamical systems modeling will then enable the development of a multi-timescale model-predictive controller driven JITAI designed to provide support for increasing walking among healthy adults, which can then be tested in a future clinical trial.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
San Diego, California, United States, 92093
- University of California San Diego
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- inactive: engaging in less than 60 min/week of self-reported moderate intensity physical activity
- adults: aged 21 or older
- own a smartphone that can run HeartSteps (iOS or Android)
Exclusion Criteria:
- not proficient in English, or
- indicate medical problems that preclude physical activity as defined using physical activity readiness questionnaire (PAR-Q)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: System Identification
All participants in the study will go through a system identification experiment everyday for 270 days.
|
The system identification experiment in Just Walk JITAI study has two key components that are the focus of the system identification experiment: daily adaptive step goal recommendations and within-day suggestions to either plan a bout of walking or to inspire reflection and, by extension, an increased urge to go for a walk.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Steps/day
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
This will be measured continuously for the duration of the study via a Fitbit Versa, a wrist-worn, consumer-level activity tracker.
|
Everyday from baseline to the end of study (for 270 days)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Behavioral Intentions
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
After each intervention notification (i.e., suggested daily step goals and bout notifications), participants will be asked to respond on their intentions to achieve the suggested target (no, maybe, yes).
|
Everyday from baseline to the end of study (for 270 days)
|
Intervention adherence
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
Adherence will be gleaned from the Fitbit and from smartphone app in terms of the degree to which persons engage with the Fitbit, use of the app, reads prompts, and responds to prompts.
|
Everyday from baseline to the end of study (for 270 days)
|
Psychological mediators/process variables
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
self-efficacy, motivation, behavioral outcomes, and internal cues to action will be measured as key process variables hypothesized to influence a person's drive and capacity to engage in walking.
These will be measured daily using ecological momentary assessment questions asked within the smartphone app.
|
Everyday from baseline to the end of study (for 270 days)
|
Environmental context
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
Barriers, facilitators, schedule, and other factors that might support or hinder a person's capacity to walk will be measured daily using ecological momentary assessment.
|
Everyday from baseline to the end of study (for 270 days)
|
Min/week moderate-to-vigorous physical activity
Time Frame: Everyday from baseline to the end of study (for 270 days)
|
This will be measured continuously for the duration of the study using the Fitbit Versa, a wrist-worn, consumer-level activity tracker.
|
Everyday from baseline to the end of study (for 270 days)
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Eric Hekler, PhD, University of California, San Diego
Publications and helpful links
General Publications
- Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. J Med Internet Res. 2018 Jun 28;20(6):e214. doi: 10.2196/jmir.8622.
- Phatak SS, Freigoun MT, Martin CA, Rivera DE, Korinek EV, Adams MA, Buman MP, Klasnja P, Hekler EB. Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. J Biomed Inform. 2018 Mar;79:82-97. doi: 10.1016/j.jbi.2018.01.010. Epub 2018 Feb 1.
- Korinek EV, Phatak SS, Martin CA, Freigoun MT, Rivera DE, Adams MA, Klasnja P, Buman MP, Hekler EB. Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. J Behav Med. 2018 Feb;41(1):74-86. doi: 10.1007/s10865-017-9878-3. Epub 2017 Sep 16.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 800132
- 5R01LM013107 (U.S. NIH Grant/Contract)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Health Behavior
-
Holbaek SygehusRecruitingHealth Behavior | Health Knowledge, Attitudes, Practice | Health-Related Behavior | Health LiteracyDenmark
-
Finnish Institute for Health and WelfareCompletedHealth Behavior | Health Care Utilization | Health Care Seeking BehaviorFinland
-
Basque Health ServiceUnknownHealth Promotion | Health Behavior | Health Education | Patient Education | Counseling | Behavior TherapySpain
-
University Hospital, Basel, SwitzerlandSolidarMed LesothoRecruitingRecruitment | Health Behavior | Motivation | Social Behavior | Health Care Utilization | Consumer Behavior | Health Care Seeking Behavior | Researcher-Subject RelationsLesotho
-
Imperial College LondonRecruitingHealth Attitude | Disease | Cancer | Health Behavior | Health Knowledge, Attitudes, Practice | Health-Related BehaviorUnited Kingdom
-
Research on Healthcare Performance Lab U1290RecruitingStress | Health Behavior | Health-Related BehaviorFrance
-
Azienda Sanitaria Locale CN2 Alba-BraUniversity of Turin, Italy; University of Eastern Piedmont; Eclectica Sas di...CompletedEffectiveness of the Updated Version of the School-based Program Diario Della Salute (DDS-2) (DDS-2)Mental Health Wellness 1 | Health Behavior | Adolescent BehaviorItaly
-
Research on Healthcare Performance Lab U1290RecruitingSedentary Behavior | Sedentary Time | Health Behavior | Health-Related Behavior | Physical InactivityFrance
-
World Health OrganizationLondon School of Hygiene and Tropical Medicine; University of Ghana; Biomedical... and other collaboratorsRecruitingHealth-Related Behavior | Adolescent Behavior | Adolescent Development | Health Care Seeking BehaviorGhana, Tanzania, Zimbabwe
-
Ankara Yildirim Beyazıt UniversityNot yet recruitingHealth Attitude | Health Behavior | Health KnowledgeTurkey
Clinical Trials on System identification experiment for physical activity
-
American Cancer Society, Inc.CompletedDepression | Quality of Life | Fatigue | Sleep | Anxiety | Cognitive DeclineUnited States
-
University Hospital Center of MartiniqueClinique Antilles-GuyaneUnknownDiabetes Mellitus, Type 2France
-
Liverpool John Moores UniversityCompleted
-
University of California, San DiegoNational Institute on Aging (NIA); University of Southern CaliforniaRecruiting
-
Universidad Autonoma de MadridCompletedLow Back Pain | Physical ActivitySpain
-
University of Alabama, TuscaloosaRecruitingPhysical Activity | Psychosocial StressorsUnited States
-
University Hospital, LimogesCompleted
-
Butler HospitalRecruitingAging | Hiv | Physical InactivityUnited States
-
University Hospital, ToulouseNot yet recruiting
-
University Hospital, Clermont-FerrandCompletedPregnancy Related | Sedentary Behavior | Sedentary Time | Perinatal Problems | Morbidity;PerinatalFrance