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An Engagement Engine for Fitness Trackers

CompletedNA

Sponsor: Massachusetts General Hospital

Conditions: Overweight, Obese

Interventions: Machine Learning Algorithm

Countries: United States

The iTrackFitness study aims to test the "engagement engine" that was developed from activity tracker and survey data gathered during phase I of the study. For the current phase the "engagement engine" will support successful and sustained engagement with health trackers thereby increasing physical activity.

Eligibility overview

Sex: ALL

Age: 18 Years to 95 Years

Healthy volunteers: Yes

Study type: INTERVENTIONAL

Eligibility criteria

Inclusion Criteria:

* Ages 18+ years of age
* Body Mass Index (BMI) 25-40 kg/m2
* Interest in using a fitness tracker for the duration of the study (24 weeks)
* Possess a smartphone, tablet or computer with the FiBit app
* Consent to undergo a phone interview with a member of the study staff
* Ability to receive text messages on their phone
* Fluency in English

Exclusion Criteria:

* Self-reported eating disorder and/or other psychiatric disorders
* Pregnancy or plans to get pregnant within 6 months of enrollment
* Disability, dementia or neurological deficits, and other medical or surgical conditions preventing participants from engaging in physical activity
* Serious co-morbid conditions (e.g., terminal cancers, end-stage renal disease) that preclude safe participation in moderate levels of physical activity

Locations (1)

Boston, Massachusetts, United States