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.
Division of Molecular Biology and Genetics, Faculty of Science, Izmir Institute of Technology, Izmir, Turkey.
J Affect Disord. 2024 Dec 1;366:379-385. doi: 10.1016/j.jad.2024.08.186. Epub 2024 Aug 30.
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.
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.
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 include recall bias, limiting generalizability due to dominantly including White British participants and difficulty in establishing causation between synaptic density and depression.
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.
老年人的抑郁是一个全球性问题,会导致残疾和整体疾病负担。了解其轨迹、相关风险因素以及对死亡率的影响对于有效的干预至关重要。此外,抑郁、睡眠障碍与老年大脑中突触密度之间的关系仍然复杂且理解不足。
我们使用了来自曼彻斯特大学正常健康老年认知纵向研究队列的 6375 名参与者的数据,使用广义线性混合模型对抑郁轨迹进行了全面评估,并使用 Cox 混合效应模型对死亡率风险进行了评估。广义结构方程模型用于探索睡眠持续时间和抑郁之间的纵向关联。最后,还研究了死后突触密度与抑郁之间的关联。
我们的研究结果表明,抑郁率在 80 岁之前持续下降,然后再次上升。抑郁与老年人死亡率增加 10%有关。睡眠减少与抑郁有关,且研究早期的抑郁程度预测了未来睡眠减少。死后分析显示,与抑郁相关的整体突触密度降低,尤其是额叶更为明显。
研究存在局限性,包括回忆偏倚,由于主要包括白种英国参与者,因此限制了普遍性,且难以确定突触密度与抑郁之间的因果关系。
我们的研究强调了关注老年人抑郁的重要性,不仅对心理健康,而且对死亡率风险和神经生物学健康都很重要。早期检测和干预策略对于改善老年人群的预后至关重要,可能减轻对睡眠、突触密度、认知健康和寿命的不利影响。