Cancer, Survivorship
Conditions
Brief summary
This study aims to promote daily physical activity in cancer survivors who are at high risk for type 2 diabetes (T2D) by using a personalized biological-based feedback strategy. T2D is one of the most common co-occurring conditions in cancer survivors and can worsen cancer-related health outcomes, especially in those who are insufficiently active. The investigators hypothesize that seeing the immediate impacts of exercise on their biological status will motivate cancer survivors to exercise. The investigators will use real-time data from continuous glucose monitor to demonstrate the acute impact of physical activity and measure daily activity levels using wearable trackers. As wearable sensor technology is constantly advancing, this study is the first step to exploring how researchers can use wearable sensors to help people make a direct connection between their daily behaviors and health outcomes.
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.
Interventions
BEHAVIORALGlucose-based biofeedback
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.
BEHAVIORALStandard feedback
Participants will wear a Fitbit activity tracker and receive non-personalized text messages over a 12-week period.
Sponsors
The University of Texas at Arlington
American Institute for Cancer Research
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Feasibility of delivering personalized glucose-based feedback | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Changes in daily physical activity level | Through study completion, an average of 3 months. | A blinded accelerometry device will be used to measure physical activity before and after the intervention. |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORYue Liao, MPH, PhD
University of Texas at Arlington
Outcome results
None listed