Evidence map›Paper›PMID 42815039›Full record

ArticleJMIR formative research2026

Enhancing a Behavioral Intervention Using Rest-Activity Rhythm Monitoring via a Consumer Wearable in Older Dementia Caregivers and People With Dementia: Feasibility and Acceptability Study.

Sarah T Stahl, Juleen Rodakowski, Riddhi Patira, Stephen F Smagula

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sarah T StahlDepartment of Psychiatry, University of Pittsburgh, 3811 Ohara St, Pittsburgh, PA, 15213-2561, United States, 1 412 246 6003.ORCID 0000-0001-5712-1266
Juleen RodakowskiDepartment of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-6397-8124
Riddhi PatiraDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-5745-1502
Stephen F SmagulaDepartment of Psychiatry, University of Pittsburgh, 3811 Ohara St, Pittsburgh, PA, 15213-2561, United States, 1 412 246 6003.ORCID 0000-0002-5881-4803

Funding

Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Developing a widely-useable wearable Circadian Profiling System to assess 24-hour behavioral rhythm disruption in people with dementia and their family caregiversR41AG069596 · NIA · ACTIVITY RHYTHM SOLUTIONS CORPORATION · PI SMAGULA, STEPHEN F · 2021 to 2022
$427k
NIA NIH HHS P30 AG024978NIA NIH HHS R41 AG069596
6 · The paper itself

Abstract

Background: Despite being established risk factors for poor mental or brain health outcomes in aging, rest-activity rhythm (RAR) disturbances are not routinely monitored or treated. This is, in part, due to a lack of clinician-friendly RAR monitoring systems. Objective: We tested the feasibility and acceptability of personalizing a 6-week behavioral intervention using RAR monitoring from a consumer wearable device (Apple Watch). We selected a target population study of people with dementia and their family caregivers, given that rest-activity pattern disturbances are common in these groups. Methods: This single-arm trial enhanced a behavioral activation rhythm treatment with the Apple Watch-based app myRhythmWatch, providing users and their therapists with objective RAR monitoring for customizing therapy. Therapists used information from the myRhythmWatch app to visualize the participants' behavioral patterns, identify treatment targets, and track progress. Participants included 21 older adults (15 dementia caregivers: mean age 61.8, SD 8.4 years; 6 people with dementia: mean age 81.45, SD 8.5 years). Feasibility outcomes were as follows: (1) proportion adherent enough to assess RARs (defined as ≥3 consecutive valid days with ≥20 hours per day) and (2) the total number of valid days. Acceptability was measured via the Likert scale to gauge participants' satisfaction with the intervention. We secondarily examined preintervention and postintervention changes in depression (9-item Patient Health Questionnaire scores) and insomnia (Insomnia Severity Index) scores among a smaller group of 11 caregivers who completed these measures. Results: All 21 participants obtained the minimum data requirement for characterizing an RAR snapshot. Caregivers averaged 35 valid RAR monitoring days, and all 15 caregivers were still using the app at week 6 of the trial. In contrast, people with dementia averaged 30 valid days, and of the 6 people with dementia, only 6 were active users at the end of the trial. On average, caregivers completed 5.7 (SD 0.46) of the 6 therapy sessions offered, and participant satisfaction with program components was "high." Depression symptoms improved with medium preintervention and postintervention effect sizes ( Conclusions: These findings show that older adults without dementia were highly engaged with RAR monitoring. This supports the feasibility of personalizing interventions for older adults with objective RAR monitoring. Randomized controlled trials are warranted to determine whether adding RAR monitoring improves intervention efficiency, efficacy, or durability. While feasible in a subset of people with dementia, we observed lower use rates indicating that there are more barriers to implementing long-term consumer wearable-based RAR monitoring in people with dementia.

Indexed as

Behavior TherapyCaregiversDementiaRestWearable Electronic DevicesAgedAged, 80 and overDigital HealthFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPatient Acceptance of Health CareaccelerometeragingApple Watchcaregiverdementiadigital mental healthrest-activity rhythmwearables

Identifiers

PMID42815039
PMCPMC13626640

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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.