Lifestyle, Sedentary Clinical Trial
Official title:
Can Methods From Computational Psychology be Used to Phenotype Individuals Most Likely to be Non-adherent to Fitness Goals?
This is a longitudinal study combining objective sensor data, with decision-making games and contextual personality traits to identify patterns in exercise decay. The data generated will be used to build computational models to predict digital personas, and help identify those individuals most likely to abandon exercise goals.
Status | Recruiting |
Enrollment | 200 |
Est. completion date | December 31, 2021 |
Est. primary completion date | December 31, 2021 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Healthy individuals who have a Fitbit Exclusion Criteria: - Individuals under the age of 18 years of age. |
Country | Name | City | State |
---|---|---|---|
Ireland | Dublin City University | Dublin |
Lead Sponsor | Collaborator |
---|---|
Dublin City University |
Ireland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in physical activity measured by an increase in weekly steps measured by Fitbit. | Fitbit is a physical activity tracker worn on the wrist and objectively measures steps taken. | Week 1 and 6 months |
Status | Clinical Trial | Phase | |
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