Evidence map›Paper›PMID 40198914›Full record

ArticleJMIR human factors2025

Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study.

Sophia Holmqvist, Marina Kaplan, Riya Chaturvedi, Haochang Shou, Tania Giovannetti

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Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Sophia HolmqvistDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.ORCID 0000-0001-7303-3338
Marina KaplanDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.ORCID 0009-0006-0891-6584
Riya ChaturvediDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.ORCID 0009-0005-3594-5922
Haochang ShouDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, United States.ORCID 0000-0002-3043-047X
Tania GiovannettiDepartment of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.ORCID 0000-0001-5661-152X

Funding

Assessing Everyday Function in Older Adults with the Virtual KitchenR01AG062503 · NIA · TEMPLE UNIV OF THE COMMONWEALTH · PI GIOVANNETTI, TANIA · 2020 to 2024
$1.8M
Digital phenotypes from a low-cost smartwatch to inform early detection of Alzheimer's disease and related dementiasF31AG089944 · NIA · TEMPLE UNIV OF THE COMMONWEALTH · PI HOLMQVIST, SOPHIA · 2024 to 2025
$76k
NIA NIH HHS F31 AG089944NIA NIH HHS R01 AG062503
6 · The paper itself

Abstract

backgroundDue to the rising prevalence of Alzheimer disease and related dementias, easily deployable tools to quantify risk are needed. Smartphones and smartwatches enable unobtrusive and continuous monitoring, but there is limited information regarding the feasibility, adherence, and acceptability of digital data collection among racially diverse older adults.

objectiveThis paper examined the feasibility, adherence, and acceptability of a 4-week combined smartwatch monitoring and ecological momentary assessment (EMA) study in a racially diverse sample of older adults.

methodsA total of 44 older adults (aged ≥55 y) with either mild cognitive impairment or healthy cognition completed an informed consent comprehension quiz, baseline cognitive testing, training regarding digital data collection, and questionnaires. Participants were instructed to wear a Garmin Vivosmart 4 smartwatch for 23 h/d for 4 weeks, sync 2 smartphone apps (Garmin and Labfront) daily, and complete a daily EMA survey with automated prompts for surveys and charging. Training time, smartwatch adherence (eg, wear time), daily EMA survey response rate, and performance on the consent quiz were quantified. Associations between feasibility and adherence metrics and participant factors were evaluated. Self-reported usability of the apps and smartwatch was collected at study end.

resultsConsent comprehension quiz scores were high (mean 97.33%, SD 6.86% correct), and training sessions lasted on average 17.93 (SD 6.89) minutes. During the 4-week study, participants wore the smartwatch for an average of 21 h/d (SD 1.53) and showed an average response rate of 94% (SD 9.58%) to daily EMA surveys. In unadjusted bivariate analyses, age, race, and cognition were associated with feasibility and adherence measures, but only age and race remained significant in multivariate models. After accounting for all participant factors, older age was a significant predictor of longer training time, and Black race was a significant predictor of lower daily wear time. On the usability survey, all participants (45/45, 100%) indicated willingness to participate in future smartwatch studies, >80% (37/45) had a positive experience, and >90% (41/45) were satisfied with smartphone app syncing.

conclusionsSmartwatch monitoring, requiring daily wear, smartphone syncing, and daily EMA survey completion, is highly feasible in older adults because adherence to daily wear and EMA surveys was high, as was general satisfaction on usability surveys. Although older participants may require more training on smartwatch and smartphone procedures and automated prompting during the study period, longitudinal monitoring with the Garmin Vivosmart 4 smartwatch and Labfront app is acceptable and feasible for collecting nearly continuous data in Black and White older adults, including those with mild cognitive impairment and those without.

Indexed as

Cognitive DysfunctionEcological Momentary AssessmentMobile ApplicationsPatient ComplianceSmartphoneWearable Electronic DevicesAgedAged, 80 and overFeasibility StudiesFemaleHumansLongitudinal StudiesMaleMiddle Agedagingcognitive impairmentecological momentary assessmentlongitudinal monitoringsmartwatch

Identifiers

PMID40198914
PMCPMC12015335

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LicenceCC BY
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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.