Sleep discrepancy and brain glucose metabolism in community-dwelling older adults
Nadia Soh,
Michael Weinborn,
James D. Doecke,
Rodrigo Canovas,
Vincent Doré,
Ying Xia,
Jurgen Fripp,
Kevin Taddei,
Romola S. Bucks,
Hamid R. Sohrabi,
Ralph N. Martins,
Melissa Ree,
Stephanie R. Rainey-Smith
Affiliations
Nadia Soh
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
Michael Weinborn
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia; Australian Alzheimer’s Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
James D. Doecke
Australian E-Health Research Centre, CSIRO, Herston, Queensland, Australia
Rodrigo Canovas
Australian E-Health Research Centre, CSIRO, Melbourne, Victoria, Australia
Vincent Doré
Australian E-Health Research Centre, CSIRO, Melbourne, Victoria, Australia; Department of Molecular Imaging and Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
Ying Xia
Australian E-Health Research Centre, CSIRO, Herston, Queensland, Australia
Jurgen Fripp
Australian E-Health Research Centre, CSIRO, Herston, Queensland, Australia
Kevin Taddei
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
Romola S. Bucks
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia; School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia
Hamid R. Sohrabi
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia; Department of Biomedical Sciences, Macquarie University, New South Wales, Australia
Ralph N. Martins
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Department of Biomedical Sciences, Macquarie University, New South Wales, Australia
Melissa Ree
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
Stephanie R. Rainey-Smith
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia; Australian Alzheimer’s Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia; Corresponding author at: Centre for Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, Western Australia 6150, Australia.
Sleep discrepancy (negative discrepancy reflects worse self-reported sleep than objective measures, such as actigraphy, and positive discrepancy the opposite) has been linked to adverse health outcomes. This study is first to investigate the relationship between sleep discrepancy and brain glucose metabolism (assessed globally and regionally via positron emission tomography), and to evaluate the contribution of insomnia severity and depressive symptoms to any associations. Using data from cognitively unimpaired community-dwelling older adults (N = 68), cluster analysis was used to characterise sleep discrepancy (for total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE)), and logistic regression was used to explore sleep discrepancy’s associations with brain glucose metabolism, while controlling for insomnia severity and depressive symptoms. Lower glucose metabolism across multiple brain regions was associated with negative discrepancy for WASO and SE, and positive discrepancy for WASO only (large effect sizes; β ≥ 0.5). Higher glucose metabolism in the superior parietal and posterior cingulate regions was associated with negative discrepancy for TST (large effect sizes; β ≥ 0.5). These associations remained when controlling for insomnia severity and depressive symptoms, suggesting a unique role of sleep discrepancy as a potential early behavioural marker of brain health.
