A central role of sulcal width in the associations of sleep duration and depression with cognition in mid to late life.

aging brain health cognition depression sleep duration sulci width

Journal

Sleep advances : a journal of the Sleep Research Society
ISSN: 2632-5012
Titre abrégé: Sleep Adv
Pays: United States
ID NLM: 101774029

Informations de publication

Date de publication:
2024
Historique:
received: 23 02 2024
revised: 02 07 2024
medline: 2 9 2024
pubmed: 2 9 2024
entrez: 2 9 2024
Statut: epublish

Résumé

Evidence suggests that poor sleep impacts cognition, brain health, and dementia risk but the nature of the association is poorly understood. This study examined how self-reported sleep duration, napping, and subjective depression symptoms are associated with the brain-cognition relationship in older adults, using sulcal width as a measure of relative brain health. A canonical partial least squares analysis was used to obtain two composite variables that relate cognition and sulcal width in a cross-sectional study of 137 adults aged 46-72. We used a combination of ANCOVA and path analyses to test the associations of self-reported sleep duration, napping, and subjective depression symptoms with the brain-cognition relationship. We observed a significant main effect of sleep duration on sulcal width, with participants reporting 7 hours showing narrower sulci than other durations. This effect remained significant after including subjective depression as a covariate, which also had a significant main effect on sulcal width in the model. There was no significant effect of napping on sulcal width. In path analyses where the effects of age, self-reported sleep duration and depression symptoms were investigated together, sulcal width mediated the relationship between age and cognition. We also observed a significant indirect effect of sulci width in the subjective depression-cognition relationship. Findings suggest that self-reported sleep duration and subjective depression may each be independently associated with brain morphology, which is related to cognitive functions. Results could help inform clinical trials and related intervention studies that aim at delaying cognitive decline in adults at risk of developing dementia.

Identifiants

pubmed: 39221446
doi: 10.1093/sleepadvances/zpae058
pii: zpae058
pmc: PMC11362672
doi:

Types de publication

Journal Article

Langues

eng

Pagination

zpae058

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Sleep Research Society.

Déclaration de conflit d'intérêts

The authors have no non-financial conflicts of interest that may be relevant to the manuscript.

Auteurs

Caroline Faucher (C)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.
Australian eHealth Research Centre, CSIRO, Brisbane, Australia.

Léonie Borne (L)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.

Anna Behler (A)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.

Bryan Paton (B)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.

Joseph Giorgio (J)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.
Helen Wills Neuroscience Institute, University of California, Berkeley, USA.

Jurgen Fripp (J)

Australian eHealth Research Centre, CSIRO, Brisbane, Australia.

Renate Thienel (R)

School of Public Health and Medicine, College of Health Medicine and Wellbeing, University of Newcastle, Australia.

Michelle K Lupton (MK)

Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Queensland, Australia.

Michael Breakspear (M)

School of Psychological Science, College of Science, Engineering and the Environment, University of Newcastle, Australia.
School of Public Health and Medicine, College of Health Medicine and Wellbeing, University of Newcastle, Australia.

Classifications MeSH