Effect of the Thrive AI Health App on Lifestyle Behaviors and Quality of Life

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age40+
SponsorYale University

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 volunteers

Qualifiers

Aged 40 years or older

Disqualifiers

Unable to walk

Trial design

Design model

Parallel

Treatments tested in this trial

  • App

    Behavioral

    Access to the app during the 12 week period following randomization

Treatment groups

20 Participants
are divided into 2 treatment groups
Group A: Thrive AI Health appExperimental treatment 1 intervention
Group B: Wait list controlNo intervention 0 interventions

Trial outcomes

Primary outcomes

1

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.

Time frame
Baseline to 12 weeks

Secondary outcomes

1

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

Time frame
Baseline to 12 weeks
2

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.

Time frame
Baseline to 12 weeks

Other outcomes

1

Body mass index

Body mass index (wt/height squared) will be calculated using measured height and weight.

Time frame
Baseline to 12 weeks
2

Aerobic capacity

The widely used 6 minute walk test developed by the American Thoracic Society in 2002, will be used to assess aerobic capacity.

Time frame
Baseline to 12 weeks
3

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.

Time frame
Baseline to 12 weeks
4

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.

Time frame
Baseline to 12 weeks

Sponsors and contacts

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Yale University

Lead sponsor

Thrive AI Health

Collaborator