ArticleSleep2024
Comparison of sleep parameters from wrist-worn ActiGraph and Actiwatch devices.
Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed.
- Sleep, rest-activity rhythm, cognitive and emotional symptoms in adult ADHD: unraveling the links with an actimetry-based approach.BMC psychiatry · 2026Trial
- Sleep Following a Stroke: Multimodal Evaluation of Sleep Health and Disruptions and Impact on Recovery During Acute Inpatient Rehabilitation.Neurorehabilitation and neural repair · 2025Trial
- Association of sleep duration with Alzheimer's disease and cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Using commercial-grade wearable devices to monitor rest/activity rhythms: promise, potential, or peril?Sleep · 2026Article
- Universal approach to actigraphic sleep/wake scoring, verified against 5 classic algorithms on 3 datasets.Scientific reports · 2026Article
- Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review.Physiological measurement · 2026Article
- Comparison and Validation of Actigraphy Algorithms Using a Large Community Dataset: Algorithm Validation Study.JMIR formative research · 2025Article
- Minimum wear time criteria for reliable estimates of device-measured 24-hour movement in older women.American journal of epidemiology · 2025Article
- Evaluation of the Agreement Between Research-Grade Actigraphy Sleep, Consumer-Grade Smartwatches and Self-Reported Sleep Diaries in Masters Endurance Athletes.Journal of sleep research · 2025Article
- Actigraphy-derived sleep fragmentation index: convergent validity and associations with clinical outcomes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Article
- Screen Time and Objectively Measured Sleep of U.S. College Students: A Brief Report.International journal of exercise science · 2025Article
- Behaviour-based movement cut-off points in 3-year old children comparing wrist- with hip-worn actigraphs MW8 and GT3X.PloS one · 2025Article
- Wrist accelerometer and sleep diary in career firefighters: a validation study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- A clinical-translational review of sleep problems in neurodevelopmental disabilities.Journal of neurodevelopmental disorders · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Sleep and physical activity, two important health behaviors, are often studied independently using different accelerometer types and body locations. Understanding whether accelerometers designed for monitoring each behavior can provide similar sleep parameter estimates may help determine whether one device can be used to measure both behaviors. Three hundred and thirty one adults (70.7 ± 13.7 years) from the Baltimore Longitudinal Study of Aging wore the ActiGraph GT9X Link and the Actiwatch 2 simultaneously on the non-dominant wrist for 7.0 ± 1.6 nights. Total sleep time (TST), wake after sleep onset (WASO), sleep efficiency, number of wake bouts, mean wake bout length, and sleep fragmentation index (SFI) were extracted from ActiGraph using the Cole-Kripke algorithm and from Actiwatch using the software default algorithm. These parameters were compared using paired t-tests, Bland-Altman plots, and Deming regression models. Stratified analyses were performed by age, sex, and body mass index (BMI). Compared to the Actiwatch, the ActiGraph estimated comparable TST and sleep efficiency, but fewer wake bouts, longer WASO, longer wake bout length, and higher SFI (all p < .001). Both devices estimated similar 1-min and 1% differences between participants for TST and SFI (β = 0.99, 95% CI: 0.95, 1.03, and 0.91, 1.13, respectively), but not for other parameters. These differences varied by age, sex, and/or BMI. The ActiGraph and the Actiwatch provide comparable absolute and relative estimates of TST, but not other parameters. The discrepancies could result from device differences in movement collection and/or sleep scoring algorithms. Further comparison and calibration is required before these devices can be used interchangeably.
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Registered trials
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.