A Randomized Controlled Trial of a Multi-domain Smartphone Intervention Incorporating Generative AI for Healthy Older Adults

April 13, 2026 updated by: Tatsuhiro Hisatsune

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

Recruiting

Conditions

Study Type

Interventional

Enrollment (Estimated)

300

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Chiba
      • Kashiwa, Chiba, Japan, 2778562

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

Yes

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 10, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

March 4, 2026

First Submitted That Met QC Criteria

April 8, 2026

First Posted (Actual)

April 13, 2026

Study Record Updates

Last Update Posted (Actual)

April 16, 2026

Last Update Submitted That Met QC Criteria

April 13, 2026

Last Verified

April 1, 2026

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

No

Studies a U.S. FDA-regulated device product

No

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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