Predict Early Cognitive Changes in a Healthy Elderly Population by Passively Recording Sensor Data From Mobile Devices

NCT07596186 | Active Not Recruiting DMC

• 2 other identifiers: 0150-24 SORApplebaum
• Study Type: observational
• Target: 98
• Locations: 1 country
• Sites: 1

Brief Summary

The study will recruit 100 participants aged 65+ residing in assisted living facilities. Eligible participants will undergo an initial cognitive assessment to document their baseline cognitive status using cognitive tests conducted either in their assisted living facility or at Soroka Medical Center. An app designed for research data collection (Aware-Light) will be installed on participants' mobile devices, collecting data only after participants provide consent. Over three months, the app will automatically gather sensor data, including movement data from the accelerometer, orientation data from the gravity sensor, rotation data from the gyroscope, proximity data for measuring distance from nearby objects, ambient light levels from the light sensor, and typing dynamics such as typing frequency and duration without recording actual text. The app will also track app usage, including activation, pauses, closures, background activity, notifications, and crashes, as well as air pressure through the barometer, phone capabilities through the telephony detector, and screen states such as on, locked, or off. It will log communication events such as calls and messages without recording personal details, monitor vehicle speed through the linear accelerometer, track rotation angles through the rotation detector, and identify significant movements like walking, cycling, or traveling. No typed data, such as passwords, will be collected. After one month, the research team will contact participants to ensure the app functions correctly. After three months, participants will undergo a second cognitive assessment, and the app will be uninstalled.

Conditions

Cognitive Decline, Mild

Keywords

Early Dementia; Mild Cognitive Decline

Outcome Measures

Primary Outcomes (1)

• Prediction model of mobile device data, collected for 9 months of lower scores in Neurotrax cognitive assessment compared to baseline evaluation.

  Mobile device sensor data

  Baseline and 9 Month after

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Tenants in assisted living housing

You may qualify if:

• Age 65 and over
• Clalit HMO members.
• Without a known diagnosis of dementia
• Uses Android mobile phones and writes text messages

You may not qualify if:

• A known diagnosis of dementia
• Uses IOS mobile.
• Doesn't write text messages

Sponsors & Collaborators

• Soroka University Medical Center: lead

Study Sites (1)

Soroka Medical Center

Beersheba, Israel

Location

MeSH Terms

Conditions

Cognitive Dysfunction; Lymphoma, Follicular; Dementia

Condition Hierarchy (Ancestors)

Cognition Disorders; Neurocognitive Disorders; Mental Disorders; Lymphoma, Non-Hodgkin; Lymphoma; Neoplasms by Histologic Type; Neoplasms; Lymphoproliferative Disorders; Lymphatic Diseases; Hemic and Lymphatic Diseases; Immunoproliferative Disorders; Immune System Diseases; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases

Study Officials

• Gal Ifergane, MD-MHA

  Soroka University Medical Center

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Target Duration: 3 Months
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Head of Neurology Department

Study Record Dates

• First Submitted: May 13, 2026
• First Posted: May 19, 2026
• Study Start: December 1, 2024
• Primary Completion (Estimated): January 1, 2027
• Study Completion (Estimated): January 1, 2027
• Last Updated: May 19, 2026

Record last verified: 2026-05

Locations

IL (1)