Evidence map›Paper›PMID 41091823›Full record

ArticleSleep2026

Daily fluctuations in sleep duration and quality affect next-day processing speed performance in young and older adults: an intensive longitudinal everyday life study over 21 days.

Johanna Schwarz, Malin Freidle, Wessel van Leeuwen, Jade Silfverling, Torbjörn Åkerstedt, Göran Kecklund

Abstract read
In one paragraph

Article in Sleep, 2026. 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

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2 · The registry

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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

6 authors.

Johanna SchwarzDepartment of Psychology, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9873-2506
Malin FreidleDepartment of Psychology, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-1269-8798
Wessel van LeeuwenDepartment of Psychology, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-0834-0811
Jade SilfverlingDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Torbjörn ÅkerstedtDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Göran KecklundDepartment of Psychology, Stockholm University, Stockholm, Sweden.

Funding

Riksbankens Jubileumsfond P19-0567:1
6 · The paper itself

Abstract

STUDY

objectivesKnowledge about how day-to-day variations in sleep affect cognitive performance in real-world contexts is currently limited. This study investigated how daily fluctuations in sleep duration, efficiency, and quality affect next-day processing speed, and tested whether these associations differ between young and older adults.

methodsA total of 158 young (18-30 years) and 168 older adults (55-75 years) participated in a 21-day intensive longitudinal design. Sleep duration and efficiency were measured using actigraphy, while sleep quality was assessed via sleep diaries. Processing speed was measured using a 60 s smartphone-based Digit Symbol Substitution Task, administered up to eight times per day. Multilevel mixed models tested the within- and between-person effects of sleep duration, sleep efficiency and sleep quality, as well as the effect of age group on processing speed.

resultsWithin-person, a sleep duration shorter than their own average (p < .001), and a sleep quality poorer than their own average (p < .05) predicted poorer next-day performance. Between-person differences in sleep duration, sleep efficiency and sleep quality were not significantly associated with processing speed. Older adults showed worse performance than young adults (p < .001), but the effect of daily sleep fluctuations on performance did not significantly vary between age groups.

conclusionsDaily fluctuations in sleep duration and sleep quality are linked to processing speed in young and older adults in real-world contexts. Results suggest that within-person, day-to-day variations in sleep may be more important than between-person differences. Maintaining an adequate sleep duration each day may help prevent cognitive impairments in daily functioning across age groups.

Indexed as

CognitionSleepSleep QualityActigraphyAdolescentAdultAgedAge FactorsFemaleHumansLongitudinal StudiesMaleMiddle AgedProcessing SpeedSleep DurationTime Factorsactigraphyagingcognitive functiondaily lifeecological momentary assessment (EMA)experience sampling method (ESM)neurobehavioral performanceremote cognitive testingsleepsmartphone-based cognitive testing

Identifiers

PMID41091823
PMCPMC12795734

What OpenQuestion holds

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LicenceCC BY
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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.