Lifestyle, Sedentary
Conditions
Brief summary
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.
Detailed description
Interested individuals to be recruited on social media and invited to download the study app. The plain language statement and informed consent are embedded in the app. Once e-consent is obtained, individuals will share their Fitbit data and complete the following questionnaires; Type D Personality, Goal Setting, and Self-Efficacy questionnaire and a decision-making game based on the IGT. After a 6 month time period, they will be requested to retake the questionnaires and decision-making game.
Interventions
OTHERApp
An application to deliver a series of behavioral questionnaires and decision-making game
Sponsors
Dublin City University
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Healthy individuals who have a Fitbit
Exclusion criteria
* Individuals under the age of 18 years of age.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in physical activity measured by an increase in weekly steps measured by Fitbit. | Week 1 and 6 months | Fitbit is a physical activity tracker worn on the wrist and objectively measures steps taken. |
Countries
Ireland
Contacts
Primary ContactMarie Mc Carthy, MSc
Backup ContactTomas Ward, PhD
Outcome results
None listed