Depression in older adults and its associations with sleep and synaptic density.

Autor: Didikoglu A; Division of Neuroscience, Faculty of Science, Izmir institute of Technology, Izmir, Turkey; Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience, The University of Manchester, Manchester, UK. Electronic address: altugdidikoglu@iyte.edu.tr., Guler ES; Division of Molecular Biology and Genetics, Faculty of Science, Izmir Institute of Technology, Izmir, Turkey., Turk HK; Division of Molecular Biology and Genetics, Faculty of Science, Izmir Institute of Technology, Izmir, Turkey., Can K; Division of Molecular Biology and Genetics, Faculty of Science, Izmir Institute of Technology, Izmir, Turkey., Erim AN; Division of Molecular Biology and Genetics, Faculty of Science, Izmir Institute of Technology, Izmir, Turkey., Payton A; Division of Informatics, Imaging & Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK., Murgatroyd C; School of Healthcare Science, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK., Pakpahan E; Applied Statistics Research Group, Department of Mathematics, Physics & Electrical Engineering, Northumbria University, Newcastle upon Tyne, UK., Minshull J; Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience, The University of Manchester, Manchester, UK., Robinson AC; Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience, The University of Manchester, Manchester, UK., Maharani A; Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester and Manchester Academic Health Science Centre (MAHSC), Manchester, UK.
Jazyk: angličtina
Zdroj: Journal of affective disorders [J Affect Disord] 2024 Dec 01; Vol. 366, pp. 379-385. Date of Electronic Publication: 2024 Aug 30.
DOI: 10.1016/j.jad.2024.08.186
Abstrakt: Background: Depression among older adults is a global concern, contributing to disability and overall illness burden. Understanding its trajectory, associated risk factors, and implications for mortality is essential for effective intervention. Moreover, the relationship between depression, sleep disturbances, and synaptic density in the ageing brain remains complex and poorly understood.
Methods: Using data from the University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age cohort, comprising 6375 participants, we conducted comprehensive assessments of depression trajectories using generalized linear mixed models and mortality risks using Cox mixed-effects models. Generalized structural equation modelling was performed to explore longitudinal associations between sleep duration and depression. Lastly, associations between post-mortem synaptic density and depression were investigated.
Results: Our findings revealed that depression rates declined until age 80 before increasing again. Depression was associated with a 10 % increased risk of mortality in older adults. Reduced sleep was correlated with depression, and depression measured early in the study predicted future reduced sleep. Post-mortem analysis showed a global reduction in synaptic density associated with depression, particularly pronounced in the frontal lobe.
Limitations: Limitations include recall bias, limiting generalizability due to dominantly including White British participants and difficulty in establishing causation between synaptic density and depression.
Conclusion: Our study underscores the significance of addressing depression in older adults, not only for mental health but also for mortality risk and neurobiological health. Early detection and intervention strategies are crucial for improving outcomes in elderly populations, potentially mitigating adverse effects on sleep, synaptic density, cognitive health, and longevity.
Competing Interests: Declaration of competing interest All authors report no conflict of interest.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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