Using Neuroscience to Optimize Digital Health Interventions Across Adulthood
Not Applicable
Completed
- Conditions
- Healthy
- Interventions
- Other: Motivational Messages
- Registration Number
- NCT03744052
- Lead Sponsor
- Duke University
- Brief Summary
The goal of this study is to investigate the extent to which brain imaging data predict health behavior change, compared to participant self-reports.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 44
Inclusion Criteria
- Healthy adults ages 30-80 who read/understand English, 50% male and 50% female, and a maximum of 50% will be white.
Read More
Exclusion Criteria
- Pregnancy
- History of head injury
- Mental illness diagnosis
- Psychoactive medication
- Psychiatric or neurological history
- Claustrophobia
- Ferrous metal implanted within the body (those with fMRI-compatible implanted devices will not be excluded, but the eligibility of their devices will be first verified.)
- Asthma, injuries, or other health conditions which inhibit daily physical activity
- Subjects must not already meet the recommended amount of physical activity of moderate-intensity physical activity for 150 minutes a week or 75 minutes at vigorous-intensity a week.
- Duke students are excluded from this study
Read More
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Adult Participants Motivational Messages Messages regarding physical activity will be texted to participants.
- Primary Outcome Measures
Name Time Method Change in Physical Activity as measures by FitBit Baseline (14 days after the 1st visit), End of study (80 days after the MR visit)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Duke University
🇺🇸Durham, North Carolina, United States