Using Neuroscience to Optimize Digital Health Interventions Across Adulthood

Not Applicable

Completed

• Conditions: Healthy

• 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

Study Timeline

• Study First Submitted: 2018-11-13
• Study First Submitted QC: 2018-11-15
• Study First Posted: 2018-11-16
• Study Start: 2019-01-17
• Primary Completion: 2020-05-18
• Study Completion: 2020-05-18
• Status Verified: 2021-02
• Last Update Submitted: 2021-02-15
• Last Update Posted: 2021-02-16

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.

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

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

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)

Trial Locations

Locations (1)

Duke University; 🇺🇸 Durham, North Carolina, United States