Using Neuroscience to Optimize Digital Health Interventions Across Adulthood

Completed · Not applicable

Conditions studied: Healthy

In brief

The goal of this study is to investigate the extent to which brain imaging data predict health behavior change, compared to participant self-reports.

Key facts

Study ID

NCT03744052

Run by

Duke University

People needed

44

Starts

2019-01-17

Expected to finish

2020-05-18

Last updated by the study team

2021-02-16

Who can join

Age: 30 and older, up to 80. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Healthy adults ages 30-80 who read/understand English, 50% male and 50% female, and a maximum of 50% will be white.

You may not qualify if…

• 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

Where it is running

• Duke University — Durham, North Carolina, United States

Full record on ClinicalTrials.gov

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