Gymnastik- och idrottshögskolan, GIH

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Poor sleep health is associated with older brain age: the role of systemic inflammation
Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin, China; Department of Medicine (Huddinge), Karolinska Institutet, Stockholm, Sweden..
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China..
Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin, China..
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Nutrition and Health, China Agricultural University, Beijing, China..ORCID iD: 0000-0001-6104-9957
Show others and affiliations
2025 (English)In: EBioMedicine, E-ISSN 2352-3964, Vol. 120, article id 105941Article in journal (Refereed) Published
Abstract [en]

Background: Poor-quality sleep has been linked to increased dementia risk. We investigated the relationship between healthy sleep pattern and older brain age, and the extent to which this is mediated by systemic inflammation.

Methods: The study included 27,500 adults from the UK Biobank (mean age 54.7 y, 54.0% female). The presence of five self-reported healthy sleep characteristics (early chronotype, 7-8 h daily sleep, no insomnia, no snoring, no excessive daytime sleepiness) were summed into a healthy sleep score (0-5 pts) and used to define three sleep patterns: healthy (≥4 pts), intermediate (2-3 pts), and poor (≤1 pt). Low-grade inflammation was estimated using the INFLA-score, a composite index of inflammatory biomarkers. After a mean follow-up of 8.9 y, brain age was estimated using a machine learning model based on 1079 brain MRI phenotypes and used to calculate brain age gap (BAG; i.e., brain age minus chronological age). Data were analysed using linear regression and generalised structural equation models.

Findings: At baseline, 898 (3.3%) participants had poor sleep, 15,283 (55.6%) had intermediate sleep, and 11,319 (41.2%) had healthy sleep. Compared to healthy sleep, intermediate (β = 0.25 [0.11, 0.40], P = 0.010) and poor (β = 0.46 [0.05, 0.87], P < 0.001) sleep were associated with significantly higher BAG. In mediation analysis, INFLA-score mediated 6.81% and 10.42% of the associations between intermediate and poor sleep and higher BAG.

Interpretation: Poor sleep health may accelerate brain ageing. This may be driven by higher levels of systemic inflammation.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 120, article id 105941
Keywords [en]
Brain age, Inflammation, Magnetic resonance imaging, Sleep, UK Biobank.
National Category
Neurosciences Neurology
Research subject
Medicine/Technology
Identifiers
URN: urn:nbn:se:gih:diva-8846DOI: 10.1016/j.ebiom.2025.105941ISI: 001594580100001PubMedID: 41033940Scopus ID: 2-s2.0-105017660130OAI: oai:DiVA.org:gih-8846DiVA, id: diva2:2008053
Part of project
E-PABS - a centre of Excellence in Physical Activity, healthy Brain functions and Sustainability, Knowledge Foundation
Funder
AlzheimerfondenThe Dementia Association - The National Association for the Rights of the DementedLoo och Hans Ostermans Stiftelse för medicinsk forskningKnowledge FoundationSwedish Research Council
Note

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Available from: 2025-10-21 Created: 2025-10-21 Last updated: 2025-11-05

Open Access in DiVA

fulltext(968 kB)63 downloads
File information
File name FULLTEXT01.pdfFile size 968 kBChecksum SHA-512
a909542a009bb9c9e4228278b2fbec873f43735b896866b2bda0ee9a3b17525ceb83a3be7f72ebd9341c5b17d39efa4f50e84f16fc0f6cb8c543d10e8ab672fe
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Ekblom, Maria M

Search in DiVA

By author/editor
Guo, JieEkblom, Maria MDove, Abigail
By organisation
Department of Physical Activity and Health
In the same journal
EBioMedicine
NeurosciencesNeurology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 1068 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf