Evidence map›Paper›PMID 40587790›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Sleep duration and timing are associated with next-day physical activity: Insights from two large-scale wearable sensor studies.

Josh Leota, Mark É Czeisler, Flora Le, David M Presby, Emily R Capodilupo, Hannah Scott, Joshua F Wiley, Sean P A Drummond, Shantha M W Rajaratnam, Elise R Facer-Childs

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Josh LeotaSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0002-7714-4630
Mark É CzeislerFrancis Weld Peabody Society, Harvard Medical School, Boston, MA 02115.ORCID 0000-0003-3100-7347
Flora LeSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
David M PresbyDepartment of Data Science and Research, Whoop, Inc., Boston, MA 02215.ORCID 0000-0002-1788-9980
Emily R CapodilupoDepartment of Data Science and Research, Whoop, Inc., Boston, MA 02215.ORCID 0000-0003-4203-5693
Hannah ScottFlinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
Joshua F WileySleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0002-0271-6702
Sean P A DrummondSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0002-9815-626X
Shantha M W RajaratnamSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
Elise R Facer-ChildsSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0003-4549-9266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep and physical activity (PA) are pillars of health. However, the temporal dynamics between these two behaviors remain poorly understood. This research aims to examine the independent and interactive between- and within-person associations of sleep duration and sleep onset timing on next-day PA duration in two large, longitudinal samples of adults under free-living conditions. In the primary study, participants (N = 19,963; 5,995,080 person-nights) wore a validated biometric device (WHOOP) for 1 y (01/09/2021 to 31/08/2022). Objective sleep and PA metrics were derived from the wrist-worn device. Generalized additive mixed models assessed between- and within-person associations between sleep and PA variables, adjusted for age, sex, Body Mass Index, weekday/weekend, seasonal effects, biometric feedback, and autocorrelated errors. Between participants, longer sleep duration and later sleep onset timing were associated with decreased moderate-to-vigorous PA (MVPA) and overall PA duration (

Indexed as

ExerciseSleepWearable Electronic DevicesAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedSleep DurationTime Factorsexerciseexercise participationhealth behaviorssleep health

Identifiers

PMID40587790
PMCPMC12260421

What OpenQuestion 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 OpenQuestion graph.