NCT03744052
Completed
Not Applicable
Using Neuroscience to Optimize Digital Health Interventions Across Adulthood
ConditionsHealthy
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Healthy
- Sponsor
- Duke University
- Enrollment
- 44
- Locations
- 1
- Primary Endpoint
- Change in Physical Activity as measures by FitBit
- Status
- Completed
- Last Updated
- 5 years ago
Overview
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.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Healthy adults ages 30-80 who read/understand English, 50% male and 50% female, and a maximum of 50% will be white.
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
Outcomes
Primary Outcomes
Change in Physical Activity as measures by FitBit
Time Frame: Baseline (14 days after the 1st visit), End of study (80 days after the MR visit)
Study Sites (1)
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