Evidence map›Paper›PMID 40901279›Full record

ArticleNature and science of sleep2025

Quantification of Differences in Sleep Measurement by a Wrist-Worn Consumer Wearable Compared to Research-Grade Accelerometry and Sleep Diaries of Female Adults in Free-Living Conditions.

Cindy R Hu, Caitlin Delaney, Jorge E Chavarro, Francine Laden, Rachel Librett, Laura Katuska, Emily R Kaplan, Li Yi, Michael Rueschman, Joe Kossowsky and 5 more

Abstract read
In one paragraph

Article in Nature and science of sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

15 authors.

Cindy R HuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.ORCID 0000-0003-3432-7944
Caitlin DelaneyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Boston, Boston, MA, USA.
Jorge E ChavarroChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Boston, Boston, MA, USA.
Francine LadenDepartment of Environmental Health, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Rachel LibrettDepartment of Nutrition, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.ORCID 0009-0001-2278-2619
Laura KatuskaDepartment of Nutrition, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Emily R KaplanDivision of Sleep of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital and Harvard Medical School; Boston, Boston, MA, USA.
Li YiDepartment of Nutrition, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Michael RueschmanDivision of Sleep of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital and Harvard Medical School; Boston, Boston, MA, USA.
Joe KossowskyDepartment of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital and Harvard Medical School; Boston, Boston, MA, USA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Susan RedlineDepartment of Epidemiology, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.
Peter JamesDepartment of Environmental Health, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.ORCID 0000-0003-4576-2159
Jaime E HartDepartment of Environmental Health, Harvard T.H. Chan School of Public Health; Boston, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

Purpose: The objective of this study is to compare sleep measurements by a consumer-wearable with research-standard actigraphy coupled with sleep diaries in free-living female adults. Methods: Forty-seven females in the Nurses' Health Study 3 (NHS3) participated in the Sleep and Physical Activity Validation Substudy (SPAVS), where they were asked to concurrently wear a consumer wearable (Fitbit Charge, Models 3 or 5) and a research-grade accelerometer (Actigraph, GT3X+ or Actisleep) on the same wrist and fill out a smartphone-based sleep diary for fourteen consecutive days. We compared measures of total sleep time (TST), time in bed (TIB), and sleep efficiency (SE) from the consumer wearable with actigraphy measures as our research-standard reference for TST and SE and self-reported sleep diary as our reference for TIB. We calculated mean absolute percent error (MAPE) and intra-class correlations (ICC), as well as Bland-Altman analyses to compute mean difference and limits of agreement. Results: For all three measures, the consumer wearable underestimated sleep parameters relative to research-standard actigraphy, with a mean bias of -16.0 minutes and -11.2 minutes for TST and TIB, respectively, and -1.0% for SE. In terms of agreement, TST (MAPE = 11.18%; ICC = 0.79) and TIB (MAPE = 10.45%; ICC = 0.74) had similar MAPES and ICCs, while and SE (MAPE = 5.09%; ICC = 0.39) had a lower ICC. Conclusion: In the NHS3 SPAVS, the wearable sleep measurements modestly underestimated wrist actigraphy measures of TST, TIB, and SE from sleep over multiple days; within sleep measures assessed, TST and TIB had greater agreement with research-grade accelerometry than SE.

Indexed as

accelerometeractigraphyfitbitsleepwearableswomen

Identifiers

PMID40901279
PMCPMC12399887

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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.