Using Neuroscience to Optimize Digital Health Interventions Across Adulthood

Duke University44 enrolled

Overview

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

Study Type

INTERVENTIONAL

Allocation

Purpose

OTHER

Masking

NONE

Enrollment

Conditions

Healthy

Interventions

Motivational MessagesOTHER

Messages regarding physical activity will be texted to participants.

Eligibility

Sex: ALLMin age: 30 YearsMax age: 80 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Duke University

Durham, North Carolina, United States

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)

Data from ClinicalTrials.gov

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