Evidence map›Paper›PMID 39478338›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Using Apple Watches to Monitor Health and Behaviors of Individuals With Cognitive Impairment: A Case Series Study.

Colby T Ford, Jake A Galler, Yingnan He, Cathrine Young, Beata Gabriela K Simpson, Chao-Yi Wu, Jake Pfaffenroth, Eh So Wah, Steven E Arnold, Hiroko H Dodge and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Colby T FordAmissa Health, Charlotte, North Carolina, USA.ORCID 0000-0002-7859-3622
Jake A GallerDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-6281-9121
Yingnan HeDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Cathrine YoungDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Beata Gabriela K SimpsonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0009-0006-6432-0419
Chao-Yi WuDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jake PfaffenrothAmissa Health, Charlotte, North Carolina, USA.
Eh So WahAmissa Health, Charlotte, North Carolina, USA.
Steven E ArnoldDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Hiroko H DodgeDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7290-8307
Jon A CorkeyAmissa Health, Charlotte, North Carolina, USA.
Sudeshna DasDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9486-6811

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
A MULTIFACETED DIGITAL HEALTH PLATFORM TO ADVANCE ALZHEIMER'S DISEASE PATIENT MONITORING, SAFETY, CARE, AND RESEARCH.R43AG072981 · NIA · AMISSA, INC. · PI CORKEY, JON ANDREW · 2021 to 2021
$496k
NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG066518NIA NIH HHS R43 AG072981NIH HHS R43AG072981-01A1Satter Foundation
6 · The paper itself

Abstract

backgroundThis study explores the potential of developing digital biomarkers from wearables for monitoring individuals with Alzheimer's Disease and Related Dementias, focusing on the feasibility of using Apple Watches for tracking health and behaviors in older adults with cognitive impairment.

methodsData collection used the Amissa Health technology stack, which passively collects time-series data from smartwatches and provides a high-frequency cloud database for secure data storage, query, and visualization by clinicians and researchers. The platform consists of (i) AmissaWear, a software app that runs on smartwatches and sends information to a cloud database using a secure API; and (ii) AmissaOrbis, a centralized cloud portal for the collected data. Each participant was provided an Apple Watch configured to collect steps, calories burned, accelerometer and gyroscope readings, heart rate, and sleep information.

resultsSeven participants, with cognitive impairment diagnosed by a neurologist, were enrolled in the study from December 2023 through June 2024. The watches successfully collected more than 700 000 observations during the study. Each observation contains data recorded from over a dozen sensors (eg, heart rate, pedometer, gyroscope, and accelerometer). The participants wore Apple Watches for an average of 11.48 hours/day for 84.91% of days during a 6-month period without a decrease in usage over time. Overall, the technology yielded high wear adherence and participation within this pilot.

conclusionsThis study demonstrates the feasibility of using widely available Apple Watches for continuous monitoring of individuals with cognitive impairment and provides insights into their daily health and activity patterns, which could aid in future development of digital biomarkers.

Indexed as

Cognitive DysfunctionHealth BehaviorMobile ApplicationsMonitoring, AmbulatoryWearable Electronic DevicesAccelerometryAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleApple WatchCognitive impairmentDigital biomarkersRemote patient monitoringWearable devices

Identifiers

PMID39478338
PMCPMC11912970

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.