Evaluating Health Outcomes of AI-Based Fitness Wearables & App Programs in Elderly With Cognitive Decline

Summary

The overarching goal of our research is to develop personalized and accessible healthy aging lifestyle interventions aimed at promoting physical activity (PA) and improving health among community-dwelling older adults living alone with cognitive decline (LACD). To achieve this goal, the purpose of this project is to determine whether wearable and app-based mHealth intervention component(s) will contribute to increased PA and improved health outcomes in older adults LACD. Our specific aims are to: identify and evaluate mHealth intervention components that practically and significantly contribute to enhanced mechanistic outcomes (e.g., self-efficacy, outcome expectations) and increased PA (primary outcome) in older adults LACD over a 6-month period; determine the optimal combinations of intervention components for future efficacy testing; elucidate the mechanism of behavioral change (MoBC) and potential outcomes of these intervention components, namely, the mediating effects of MoBC variables (e.g., self-efficacy, outcome expectations) on the relationship between intervention components and change in PA. The first two aims are primary and fully-powered. The third aim is exploratory. The aims will support a refined, data-driven intervention design for a subsequent larger trial.

Conditions

• Older Adults With Cognitive Decline
• Older Adults
• AI-Based Fitness
• Wearables
• Cognitive Decline
• Physical Activity
• Physical Inactivity

Interventions

OTHER

Fitness app for self-efficacy

AI-driven personalized exercise prescription via a fitness app. This targets self-efficacy.

OTHER

Social network via app for social support

Participants will be provided access to a social network via app. This targets social support.

OTHER

Health education app targeting outcome expectations

Participants are provided with an app-based health education. This targets outcome expectations.

Sponsors & Collaborators

• Arizona State University

  collaborator OTHER

• Oregon Research Institute

  collaborator OTHER

• National Institute on Aging (NIA)

  collaborator NIH

• The University of Tennessee, Knoxville

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

DOUBLE

Model

FACTORIAL

Eligibility

Min Age

65 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2026-04-01

Primary Completion

2028-04-01

Completion

2028-04-01

Countries

• United States

Study Locations