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.

Study Overview

• Status: Unknown
• Conditions: Lifestyle, Sedentary
• Intervention / Treatment: 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.

• Study Type: Observational
• Enrollment (Anticipated): 200

Contacts and Locations

• Study Contact: Name: Marie Mc Carthy, MSc; Phone Number: +353877645817; Email: marie.mccarthy65@mail.dcu.ie
• Study Contact Backup: Name: Tomas Ward, PhD; Phone Number: +35317006076; Email: tomas.ward@dcu.ie

Study Locations

• Ireland
  • Dublin, Ireland
    • Recruiting
    • Dublin City University
    • Contact: Tomas Ward, PhD; Phone Number: +35317006076; Email: tomas.ward@dcu.ie

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Healthy individuals starting a new exercise regime.

Description

Inclusion Criteria:

• Healthy individuals who have a Fitbit

Exclusion Criteria:

• Individuals under the age of 18 years of age.

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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

Collaborators and Investigators

• Sponsor: Dublin City University

Publications and helpful links

General Publications

• McCarthy M, Zhang L, Monacelli G, Ward T. Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study. JMIR Res Protoc. 2021 Nov 26;10(11):e29758. doi: 10.2196/29758.

Study record dates

Study Major Dates

• Study Start (Actual): January 1, 2021
• Primary Completion (Anticipated): December 31, 2021
• Study Completion (Anticipated): December 31, 2021

Study Registration Dates

• First Submitted: February 15, 2021
• First Submitted That Met QC Criteria: March 3, 2021
• First Posted (Actual): March 5, 2021

Study Record Updates

• Last Update Posted (Actual): March 5, 2021
• Last Update Submitted That Met QC Criteria: March 3, 2021
• Last Verified: March 1, 2021

More Information

Terms related to this study

• Other Study ID Numbers: DCUSOC29012021MMCC1

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No