- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07524478
A Randomized Controlled Trial of a Multi-domain Smartphone Intervention Incorporating Generative AI for Healthy Older Adults
Efficacy and Scalability of a Multi-domain Digital Health Intervention Via Smartphone Application and Wearable Data: A Randomized Controlled Trial in Healthy Elderly Population
This study evaluates the efficacy of a smartphone-based multi-domain intervention designed to promote healthy aging and prevent cognitive decline in older adults. Building on preliminary findings that automated alerts improved exercise, sleep and nutrition-thereby mediating enhanced cognitive performance-we developed a dedicated application that integrates longitudinal Fitbit data (activity, sleep, and nutrition) with daily interactive dialogues powered by Generative AI (LLM).
A six-month Randomized Controlled Trial (RCT) will be conducted with 300 healthy participants aged 65 and older. The primary objective is to analyze how these digital interventions influence health outcomes, particularly cognitive and motor functions. Furthermore, we aim to construct a predictive mathematical model to estimate health states based on wearable data streams. Finally, the study will assess the potential for scalability to facilitate the large-scale social implementation of this digital health service.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Tatsuhiro Hisatsune
- Phone Number: +81471363632
- Email: HISATSUNE@EDU.K.U-TOKYO.AC.JP
Study Locations
-
-
Chiba
-
Kashiwa, Chiba, Japan, 2778562
- Recruiting
- GSFS, The University of Tokyo
-
Contact:
- Tatsuhiro Hisatsune
- Phone Number: +81471363632
- Email: HISATSUNE@EDU.K.U-TOKYO.AC.JP
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Able to use a smartphone and wearable device (Fitbit).
Exclusion Criteria:
- Physical conditions that prohibit regular exercise. Individuals diagnosed with dementia
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Control
|
Standard Care: Participants may receive standard health information without the specialized multi-domain app or AI dialogue features.
|
|
Experimental: Multidomain Intervention
|
Multi-domain App Intervention: Participants receive a dedicated smartphone application integrated with Fitbit.
The app provides guidance on exercise, sleep, and nutrition, and features daily interactive dialogues powered by Generative AI (LLM) to promote health engagement.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cognitive Function
Time Frame: Baseline and 6 months
|
MoCA
|
Baseline and 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cognitive function
Time Frame: Baseline and 6 months
|
MMSE
|
Baseline and 6 months
|
|
Cognitive function
Time Frame: Baseline and 6 months
|
SAGE (Self-Administered Gerocognitive Examination)
|
Baseline and 6 months
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 25-143
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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