About this trial
The goals of this randomized trial is to learn:
1. If the Thrive AI Health app will help adults improve their everyday habits (diet, exercise, and sleep). 2. How often participants will use the Thrive AI Health app to which they will have free access
The Thrive AI Health app uses artificial intelligence (AI) to give personalized advice. It is designed to help people eat better, exercise more, manage stress, and sleep well.
Researchers will compare changes in diet, exercise and sleep in participants using the app to those participants not using the app.
Participants will complete study questionnaires and an in-person visit at the beginning and end of the study.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Aged 40 years or older
Disqualifiers
Unable to walk
Trial design
Parallel
Treatments tested in this trial
App
BehavioralAccess to the app during the 12 week period following randomization
Treatment groups
Trial outcomes
Primary outcomes
Physical activity
Self-reported minutes per week of moderate-vigorous-intensity physical activity will be estimated using the Modifiable Physical Activity Questionnaire. A higher number of minutes of moderate-vigorous-intensity physical activity per week means a better outcome.
Secondary outcomes
Healthy Eating Index
Healthy Eating Index will be will be estimated using the self-reported food frequency questionnaire developed by Fred Hutchinson Cancer Center. The range for the Healthy Eating Index is 0-100. The higher number mean the better outcome
Sleep quality
Self-reported sleep quality estimated using the Pittsburgh Sleep Quality Index (PSQI). Sleep will be assessed at baseline and 12-weeks using the PSQI, which is a widely used measure of subjective sleep disturbance; its validity and reliability have been established in various populations. Score range 0-21 with a lower score indicating better sleep.
Other outcomes
Body mass index
Body mass index (wt/height squared) will be calculated using measured height and weight.
Aerobic capacity
The widely used 6 minute walk test developed by the American Thoracic Society in 2002, will be used to assess aerobic capacity.
Physical quality of life score
36-item Short Form Survey (SF-36) will be used to generate the Physical Component Summary (PCS). Using norm based scores, above 50 indicate a better-than-average physical health-related quality of life.
Mental quality of life score
36-item Short Form Survey (SF-36) will be used to generate the Mental Component Summary (MCS). Using norm based scores, above 50 indicate a better-than-average mental health-related quality of life.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Yale University
Lead sponsor
Thrive AI Health
Collaborator