Evidence map›Paper›PMID 39909478›Full record

ArticleJournal of sleep research2025

Exploring person-centred sleep and rest-activity cycle dynamics over 6 months.

Rachel Crosley-Lyons, Jixin Li, Wei-Lin Wang, Shirlene D Wang, Jimi Huh, Dayoung Bae, Stephen S Intille, Genevieve F Dunton

Abstract read
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Rachel Crosley-LyonsDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-3227-1481
Jixin LiKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
Wei-Lin WangDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Shirlene D WangFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Jimi HuhDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Dayoung BaeDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Stephen S IntilleKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
Genevieve F DuntonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Funding

Cancer Prevention, Control, and Survivorship Research Training ProgramT32CA193193 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Brian L Hitsman, BETINA YANEZ · 2015 to 2026
$3.8M
Microtemporal Processes Underlying Health Behavior Adoption and MaintenanceU01HL146327 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNTON, GENEVIEVE FRIDLUND, INTILLE, STEPHEN S · 2018 to 2022
$2.9M
Within-person compositional analysis of 24-Hour Activity Cycle behaviors and circadian metrics related to cardiovascular disease.F31HL176165 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Rachel Crosley Lyons · 2024 to 2026
$149k
NCI NIH HHS T32 CA193193NCI NIH HHS T32CA193193NHLBI NIH HHS F31 HL176165NHLBI NIH HHS U01 HL146327NHLBI NIH HHS U01HL146327
6 · The paper itself

Abstract

Sleep and circadian characteristics are associated with health outcomes, but are often examined cross-sectionally or using variable-centred analyses. Person-centred longitudinal research is needed to identify combined effects of sleep and circadian characteristics while allowing for change over time. We aimed to classify individuals into sleep-circadian statuses (aim 1), determine whether they transitioned between statuses over time (aim 2), and explore associated covariates and health outcomes (aim 3). Young adults (N = 151) wore smartwatches continuously for 6 months. Sleep (total sleep time, wake after sleep onset) and circadian rest-activity cycle indicators (interdaily stability, intradaily variability, relative amplitude) were derived from acceleration data and aggregated into person-means for months 1, 3, and 6. These values were entered into a latent transition model for aims 1 and 2. Multinomial logistic regressions, ANOVA, and ANCOVA addressed aim 3. Four statuses were extracted (entropy = 0.88): optimal sleepers, restless sleepers, short sleepers, and nappers. 10%-13% of optimal sleepers and 21% of restless sleepers became nappers, 7%-18% of nappers transitioned to other statuses, and 94%-100% of short sleepers remained unchanged. Males were more likely than females to be short versus optimal sleepers (p < 0.001). Restless sleepers had more physical dysfunction than nappers and short sleepers (p = 0.014, 0.022), while short sleepers reported more excessive sleepiness than optimal sleepers and nappers (p = 0.006, 0.060). This study identified four sleep-circadian statuses and found evidence for change over time. Our longitudinal person-centred approach could help inform the development of tailored diagnostic guidelines for sleep and circadian-related disorders that fluctuate within-individuals.

Indexed as

Circadian RhythmRestSleepAdolescentAdultFemaleHumansLongitudinal StudiesMaleYoung Adultcircadian rhythmlatent transition analysisperson‐centredsleep durationsleep qualitysleep–wake disorder

Identifiers

PMID39909478
PMCPMC12240455

What OpenQuestion holds

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LicenceCC BY
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.