- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05490641
Know and Own Your Movement-related Metrics Via Wearable Devices (Project KNOWN)
Personalized Feedback of Wearable Biological Sensor Data to Promote Active Living in Cancer Survivors
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Physical activity plays an important role in energy balance and obesity, which is an independent risk factor for cancer recurrence and mortality. It has been estimated that cancer survivors who increased their physical activity from pre- to post-diagnosis by any level had a 39% risk reduction in total mortality. This study will use an innovative approach to motivate cancer survivors to adopt and maintain an active lifestyle and will explore a novel mediator (daily glucose pattern) of the association between physical activity and cancer-related biomarkers. Study participants will be randomly assigned into (1) a group that receives personalized biological feedback related to physical activity behaviors; and (2) a control group that receives standard educational material. The feasibility and preliminary efficacy of this wearable sensor-based, biofeedback-enhanced 12-week physical activity intervention will be evaluated. This study will provide data regarding the preliminary efficacy of using biological feedback to increase physical activity and identifying daily glucose patterns that might link to cancer-related biomarkers.
The overall goals for this study are: (1) to test the preliminary effect of a remotely delivered physical activity intervention that incorporates personalized biological-based feedback on daily physical activity levels, and (2) to explore the association between daily glucose patterns and cancer-related insulin pathway and inflammatory biomarkers in cancer survivors who are at high risk for type 2 diabetes.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Texas
-
Arlington, Texas, United States, 76010
- The University of Texas at Arlington
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- be 18 years or older
- have had a diagnosis of cancer
- have completed curative-intended treatment for at least 3 months (except hormone therapy or long-term maintenance chemotherapy)
- be at high-risk for type 2 diabetes based on the American Diabetes Association Type 2 Diabetes Risk Test
- currently insufficiently active
- capable of participating in moderate-vigorous intensity unsupervised exercise
- have no current diagnosis or history of type 1 or 2 diabetes
- able to speak, read, and write in English
- have a smartphone with daily internet access
Exclusion Criteria:
- currently taking oral antidiabetic agents (OADs)
- current treatment with any insulin regimen other than basal insulin, e.g. prandial or pre-mixed insulin
- currently pregnant
- on dialysis
- have self-reported health issues that limit physical activity
- work overnight shifts
- unwilling to use the study devices
- current participation in other exercise or weight loss-related program or intervention
- currently on a low-carb diet
- current use of other implanted medical devices such as pacemakers
- do not have a smartphone that is compatible with the Fitbit and the LibreLink apps
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Biofeedback Group
|
Participants will wear a Fitbit activity tracker and receive personalized text messages over a 12-week period.
During the first 4 weeks of the study period, participants will also wear a continuous glucose monitor to check their glucose levels in real-time and receive text messages based on their activity and glucose data.
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Active Comparator: Standard Care Group
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Participants will wear a Fitbit activity tracker and receive non-personalized text messages over a 12-week period.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of delivering personalized glucose-based feedback
Time Frame: Through study completion, an average of 3 months.
|
The intervention will be considered feasible if ≥ 80% of participants in the intervention group are adherent to the self-monitoring protocol and ≥ 80% of participants complete the post-intervention assessment.
|
Through study completion, an average of 3 months.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in daily physical activity level
Time Frame: Through study completion, an average of 3 months.
|
A blinded accelerometry device will be used to measure physical activity before and after the intervention.
|
Through study completion, an average of 3 months.
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Yue Liao, MPH, PhD, University of Texas at Arlington
Publications and helpful links
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 (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022-0177
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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.
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