Smartphone program using Fitbit and AI to support healthy aging
Official title: Efficacy and Scalability of a Multi-domain Digital Health Intervention Via Smartphone Application and Wearable Data: A Randomized Controlled Trial in Healthy Elderly Population
Run by Tokyo University · NCT07524478 · Data updated 2026-11-12
This project tests whether a smartphone app that combines Fitbit activity, sleep, and nutrition data with daily AI conversations can help people aged 65 and older maintain thinking, movement, and healthy habits.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 65 Years to 93 Years |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | Tokyo University Academic / other |
| Locations | 1 site (Kashiwa, Chiba) |
| Status | Recruiting |
| Started | March 10, 2026 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2027 |
| Registry record updated | April 16, 2026 |
| Trial ID | NCT07524478 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are cognitively healthy adults aged 65 or older who can use a smartphone and a Fitbit and who have no medical barriers to regular exercise.
✕Probably not a fit
People with diagnosed dementia, significant physical limitations that prevent regular exercise, or those unable to use a smartphone or wearable are unlikely to benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
A six-month randomized controlled trial will enroll 300 healthy adults aged 65 and older to compare a multidomain smartphone intervention against a control. The intervention links continuous Fitbit data (activity, sleep, nutrition) with daily interactive dialogues powered by a generative AI model to prompt and reinforce healthy behaviors. Primary outcomes focus on changes in cognitive and motor function, and investigators will build a predictive mathematical model of health states from the wearable data streams. The team will also evaluate feasibility and potential scalability for broader social implementation.
Why it matters
Potential benefit: If successful, the program could help older adults preserve cognitive and motor function and support healthier daily routines through personalized, scalable digital coaching.
How similar studies have gone: Prior pilot work using automated alerts and wearable feedback has shown improvements in exercise, sleep, and nutrition, but integrating generative AI dialogue at this scale remains largely untested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Able to use a smartphone and wearable device (Fitbit). Exclusion Criteria: * Physical conditions that prohibit regular exercise. Individuals diagnosed with dementia
Where it's running
-
GSFS, The University of Tokyo
Kashiwa, Chiba, Japan Recruiting
Study contacts
- Study coordinator: Tatsuhiro Hisatsune
- Email: hisatsune@edu.k.u-tokyo.ac.jp
- Phone: +81471363632
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.