Evidence map›Paper›PMID 42007512›Full record

ArticleFamily practice2026

The impact of sleep duration, sleep debt and insomnia symptoms on infection risk: a longitudinal cohort study with 1-year follow-up.

Bjørn Bjorvatn, Siri Waage, Ragnhild S Lundetræ, Leo Larsen, Nadia Pristaj, Magnus Fossum, Ingrid K Rebnord, Knut Erik Emberland

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Article in Family practice, 2026. 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
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0citing papers in PubMed
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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bjørn BjorvatnDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0001-7051-745X
Siri WaageDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0001-9891-6348
Ragnhild S LundetræDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0002-3602-3701
Leo LarsenDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0001-5303-208X
Nadia PristajDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0009-0006-5457-4757
Magnus FossumDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0009-0000-4485-0320
Ingrid K RebnordDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0002-1975-7404
Knut Erik EmberlandDepartment of Global Public Health and Primary Care, University of Bergen, N-5009 Bergen, Norway.ORCID 0000-0002-1635-7894

Funding

PraksisNett
6 · The paper itself

Abstract

backgroundTo study whether sleep duration, sleep debt (difference between sleep need and duration), and insomnia severity at baseline would predict increased prevalence of infections 1 year later.

methodsIn total, 861 participants recruited from the Norwegian Primary Care Research Network completed a baseline survey about sleep and were invited for follow-up 1 year later. The response rate at follow-up was 60.5%, rendering 521 patients eligible for analyses. At baseline the participants completed questions about sleep habits and insomnia symptoms (insomnia severity index), and at follow-up they responded to whether they had experienced various infections during the last 3 months and whether they experience more infections than peers.

resultsParticipants with normal sleep duration, no sleep debt and no insomnia at baseline reported the lowest prevalences of infections at 1-year follow-up. In the adjusted analyses, long sleep duration (>9 h, present only in 11 participants) increased the odds of influenza-like illness, gastrointestinal infection, and experiencing more infections than peers by about four times, whereas short sleep duration (<6 h) doubled the odds of skin infection. Compared to no sleep debt, ≤2 h sleep debt doubled the odds of skin infection and >2 h sleep debt tripled the odds of experiencing more infections than peers. Insomnia doubled the odds of any type of infection and influenza-like illness, and more than tripled the odds of gastrointestinal infection and experiencing more infections than peers.

conclusionsThis longitudinal study supports the notion that people who have insufficient sleep are at increased risk of infections.

Indexed as

InfectionsSleep DeprivationSleep DurationSleep Initiation and Maintenance DisordersAdultAgedFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedNorwayPrevalenceRisk FactorsSeverity of Illness Indexfollow-up studyinfectionsinsomnia severityinsufficient sleeppractice-based research networkPraksisNett

Identifiers

PMID42007512
PMCPMC13093217

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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.