Evidence map›Paper›PMID 39846530›Full record

ArticleClocks & sleep2025

Impact of Varying Sleep Pressure on Daytime Sleep Propensity in Healthy Young and Older Adults.

Stella de Haan, Marine Dourte, Michele Deantoni, Mathilde Reyt, Marion Baillet, Christian Berthomier, Vincenzo Muto, Gregory Hammad, Christian Cajochen, Carolin F Reichert and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clocks & 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.

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

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

13 authors.

Stella de HaanSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.ORCID 0000-0002-3027-2715
Marine DourteSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.ORCID 0000-0002-7505-843X
Michele DeantoniSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.
Mathilde ReytSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.
Marion BailletSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.ORCID 0000-0002-1003-4787
Christian BerthomierPhysip S.A., 6 Rue Gobert, 75011 Paris, France.ORCID 0000-0002-2300-9476
Vincenzo MutoSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.
Gregory HammadSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.
Christian CajochenCentre for Chronobiology, Psychiatric Hospital of the University of Basel, 4002 Basel, Switzerland.ORCID 0000-0003-2699-7171
Carolin F ReichertCentre for Chronobiology, Psychiatric Hospital of the University of Basel, 4002 Basel, Switzerland.
Micheline MaireCentre for Chronobiology, Psychiatric Hospital of the University of Basel, 4002 Basel, Switzerland.
Christina SchmidtSleep and Chronobiology Laboratory, GIGA-CRC Human Imaging, University of Liège, 4000 Liège, Belgium.
Svetlana PostnovaCircadian Physics Group, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.

Funding

European Research Council 757763Fonds de la Recherche Scientifique-FNRS T.0220.20L. & Th. La Roche-Stiftung NANiklaus und Bertha BurckhardtBürgin-Stiftung NASwiss National Science Foundation 310030_130689
6 · The paper itself

Abstract

Fixed sleep schedules with an 8 h time in bed (TIB) are used to ensure participants are well-rested before laboratory studies. However, such schedules may lead to cumulative excess wakefulness in young individuals. Effects on older individuals are unknown. We combine modelling and experimental data to quantify the effects of sleep debt on sleep propensity in healthy younger and older participants. A model of arousal dynamics was fitted to sleep data from 22 young (20-31 y.o.) and 26 older (61-82 y.o.) individuals (25 male) undertaking 10 short sleep-wake cycles during a 40 h napping protocol, following >1 week of fixed 8 h TIB schedules. Homeostatic sleep drive at the study start was varied systematically to identify best fits between observed and predicted sleep profiles for individuals and group averages. Daytime sleep duration was the same on the two days of the protocol within the groups but different between the groups (young: 3.14 ± 0.98 h vs. 3.06 ± 0.75 h, older: 2.60 ± 0.98 h vs. 2.37 ± 0.64 h). The model predicted an initial homeostatic drive of 11.2 ± 3.5% (young) and 10.1 ± 3.5% (older) above well-rested. Individual variability in first-day, but not second-day, sleep patterns was explained by the differences in the initial homeostatic drive for both age groups. Our study suggests that both younger and older participants arrive at the laboratory with cumulative sleep debt, despite 8 h TiB schedules, which dissipates after the first four sleep opportunities on the protocol. This has implications for protocol design and the interpretation of laboratory studies.

Indexed as

ageinghomeostatic pressuremodellingnappingsleepsleep debtsleep propensity

Identifiers

PMID39846530
PMCPMC11755553

What OpenQuestion holds

Textmetadata
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.