Tailoring Mobile Health Technology to Reduce Obesity and Improve Cardiovascular Health in Resource-Limited Neighborhood Environments: A Multi-Level, Community-Based Physical Activity Intervention
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- STATUS
- Recruiting
Summary
Background:
- Heart disease is a leading cause of death. People can reduce their heart disease risk by exercising more. Mobile health technology may make people more successful at increasing their exercise. This includes things like physical activity monitors and smartphone apps.
Objective:
- To find out if mobile health technology can increase physical activity.
Eligibility:
African American women ages 25-75 who:
- Are overweight or obese
- Live in certain areas near Washington, DC
- Are pre-diabetic
- Have a smartphone that can use the study app
Design:
- At visit 1, participants will:
- Answer survey questions. These may be about medical history, physical activity, and weight. They may also cover body image, health perception, and spirituality.
- Have body size measured and get blood tests
- Get a device to wear on the wrist. It will record physical activity and hours of sleep.
- Learn how to download and use the study mobile app
- For 2 weeks, researchers will collect data about participants physical activity.
- Then participants will have a study visit with additional blood tests.
- All participants will get messages from the app that encourage exercise.
- Some participants will get data from the app about exercise near their home or work.
- Some participants may get face-to-face coaching.
- Participants may get wireless devices. These measure body weight, blood pressure, and blood glucose. Participants can measure these at home and upload the data to the app for the study.
- Participants will have visits after 3 and 6 months. They will repeat the visit 1 tests.
Please visit our Patient Recruitment Page for more information.
Description
Targeted, effective behavioral interventions are critically needed to ameliorate the disproportionate prevalence of poor cardiometabolic health for African-American women. We propose a sequential, multiple-assignment, randomized trial targeting physical activity (PA) among at-risk African-American women in resource-limited, Washington, D.C. communities using mobile health (mHealth) technology.
We hypothesize that by beginning a community-based, adaptive PA intervention with remote coaching tailored to neighborhood environment PA resources, we will see greater increases in PA levels as compared to standard remote coaching.
- In Aim 1, we will determine if beginning an adaptive intervention with remote coaching tailored to neighborhood environment resources and delivered using mHealth technology (wearables and mobile applications) will lead to a greater PA increase (as measured by steps per day) as compared to standard remote coaching.
- In Aim 2, we will examine which of four embedded adaptive interventions produce the largest PA increase over the six-month study period.
- In Aim 3, we will evaluate the feasibility of remote capture of cardiometabolic measures, including blood pressure, weight, and glucose, using mHealth technology. We will also examine intervention effects on cardiometabolic health (adiposity, blood pressure, fasting lipids/glucose, self-reported PA, dietary intake, cigarette smoking).
- In Aim 4, we will characterize effects of increasing PA on integrated serologic cytokine/chemokine and lipid inflammatory intermediates to identify potential novel inflammatory pathways linked to cardiometabolic risk phenotypes most responsive to the multi-level, community-based PA intervention.
We will also determine the feasibility of measuring behavioral and psychosocial mediating factors of the relationship between PA change and cardiometabolic health in this intervention, including chronic psychological/environmental stress and sedentary behavior/sleep.
This project provides fundamental knowledge towards the development of tailored, effective behavioral interventions incorporating mHealth technology to promote health among populations most impacted by health disparities.
Please visit our Patient Recruitment Page for more information.
Details
| Condition | Obesity, Cardiovascular Health, Cardiovascular Disease, CVD |
|---|---|
| Clinical Study Identifier | TX218179 |
| Last Modified on | 23 November 2020 |
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Additional screening procedures may be conducted by the study team before you can be confirmed eligible to participate.
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