NCT04783298

Can Methods From Computational Psychology be Used to Phenotype Individuals Most Likely to be Non-adherent to Fitness Goals?

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 200 (estimated)
• Sponsor: Dublin City University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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.

Conditions

• Lifestyle, Sedentary

Interventions

Type	Name	Description
OTHER	App	An application to deliver a series of behavioral questionnaires and decision-making game

Timeline

• Start date: 2021-01-01
• Primary completion: 2021-12-31
• Completion: 2021-12-31
• First posted: 2021-03-05
• Last updated: 2021-03-05

Locations

1 site across 1 country: Ireland