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

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT04783298
Recruitment Status : Recruiting
First Posted : March 5, 2021
Last Update Posted : March 5, 2021
Sponsor:
Information provided by (Responsible Party):
Dublin City University

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.

Condition or disease Intervention/treatment
Lifestyle, Sedentary Other: App

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.

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Study Type : Observational
Estimated Enrollment : 200 participants
Observational Model: Other
Time Perspective: Prospective
Official Title: Can Methods From Computational Psychology be Used to Phenotype Individuals Most Likely to be Non-adherent to Fitness Goals?
Actual Study Start Date : January 1, 2021
Estimated Primary Completion Date : December 31, 2021
Estimated Study Completion Date : December 31, 2021

Intervention Details:
  • Other: App
    An application to deliver a series of behavioral questionnaires and decision-making game


Primary Outcome Measures :
  1. Change in physical activity measured by an increase in weekly steps measured by Fitbit. [ Time Frame: Week 1 and 6 months ]
    Fitbit is a physical activity tracker worn on the wrist and objectively measures steps taken.



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Healthy individuals starting a new exercise regime.
Criteria

Inclusion Criteria:

  • Healthy individuals who have a Fitbit

Exclusion Criteria:

  • Individuals under the age of 18 years of age.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04783298


Contacts
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Contact: Marie Mc Carthy, MSc +353877645817 marie.mccarthy65@mail.dcu.ie
Contact: Tomas Ward, PhD +35317006076 Tomas.ward@dcu.ie

Locations
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Ireland
Dublin City University Recruiting
Dublin, Ireland
Contact: Tomas Ward, PhD    +35317006076    tomas.ward@dcu.ie   
Sponsors and Collaborators
Dublin City University
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
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Responsible Party: Dublin City University
ClinicalTrials.gov Identifier: NCT04783298    
Other Study ID Numbers: DCUSOC29012021MMCC1
First Posted: March 5, 2021    Key Record Dates
Last Update Posted: March 5, 2021
Last Verified: March 2021
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No