Evidence map›Paper›PMID 41768372›Full record

ArticleSleep advances : a journal of the Sleep Research Society2026

Performance evaluation of consumer sleep-tracking wearables and nearables in healthy young and older adults.

Mary Emma Searles, Angela Licata, Matthew Cucinotta, Kyle Kainec, Rebecca M C Spencer

Abstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Night Watch: A Survey of Older Adult Sleep-Tracking.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  2. Consumer sleep technologies: what we know and what comes next.Sleep advances : a journal of the Sleep Research Society · 2026
    Article
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

5 authors.

Mary Emma SearlesInstitute for Applied Life Sciences, University of Massachusetts, Amherst, MA, United States.
Angela LicataInstitute for Applied Life Sciences, University of Massachusetts, Amherst, MA, United States.
Matthew CucinottaInstitute for Applied Life Sciences, University of Massachusetts, Amherst, MA, United States.
Kyle KainecInstitute for Applied Life Sciences, University of Massachusetts, Amherst, MA, United States.
Rebecca M C SpencerInstitute for Applied Life Sciences, University of Massachusetts, Amherst, MA, United States.ORCID https://orcid.org/0000-0002-8674-2384

Funding

Validating novel sleep sensors and devices in older adults with Alzheimer's diseaseP30AG073107 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Sudeshna Das · 2021 to 2026
$32.0M
NIA NIH HHS P30 AG073107
6 · The paper itself

Abstract

Study objectives: Changes in sleep with aging are associated with risk for Alzheimer's and other neurological diseases, risk of accidents, and can be a predictor of health decline. For this reason, continuous sleep monitoring is of great interest for researchers, clinicians, and family members. The objective of this study was to assess the validity of consumer sleep-tracking devices in older relative to young adults. Methods: Analyses were based on one night of sleep assessed in young (19-24 years; n = 13) and older adults (56-80 years; n = 19). Participants wore sleep-tracking wearables (Fitbit Sense 2, Oura Ring) and nearables (Withings Sleep Mat, Sleep Score Max) were positioned nearby. Sleep measures were compared to polysomnography. Results: Results suggest that devices may be less accurate in older relative to young adults in commonly reported measures. In older adults, devices underestimated total sleep time (Fitbit bias = -74.5 minutes, Conclusions: Older adults interested in tracking their sleep and clinicians and researchers using consumer devices as a replacement for polysomnography should use caution when interpreting results from these devices.This paper is part of the Consumer Sleep Technology Collection.

Indexed as

agingdevicesnearablespolysomnographysleepsleep trackingwearables

Identifiers

PMID41768372
PMCPMC12936866

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.