The bidirectional relationship between depression and cognitive function in older adults: evidence from a psychosocial intervention on late-life depression.

IF 6.2 3区 医学 Q1 GERIATRICS & GERONTOLOGY
Innovation in Aging Pub Date : 2026-08-31 eCollection Date: 2026-01-01 DOI:10.1093/geroni/igag095
Lucy Xi Lu, Dara Kiu Yi Leung, Stephanie Ming Yin Wong, Wai Chi Chan, Gloria Hoi Yan Wong, Terry Yat Sang Lum
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引用次数: 0

Abstract

Background and objectives: Depression is a modifiable predictor of dementia, but the effects of addressing depression to improve cognition, especially psychosocial interventions, are understudied. The underlying relationships between depressive symptoms (DS) and cognitive function (CF) are also unclear. Most prior research has been observational, lacking insight into their interactions during interventions. This study examined the longitudinal relationships between DS and CF across psychosocial interventions in older adults, modeling changes as latent variables for more accurate estimations.

Research design and methods: The study drew on participant data from JC JoyAge, a community stepped-care program for late-life mental health. Participants (≥60 years) with mild to moderate DS (N = 4,412) completed DS and CF assessments (e.g., attention, language, orientation, memory domains) before and after the program. Latent change score models were computed to examine changes in DS and CF as well as their interaction.

Results: On average, participants' DS and CF improved following intervention. A greater reduction in DS was associated with greater improvement in CF. Higher baseline CF predicted a greater reduction in DS, while a lower baseline DS predicted a greater improvement in global CF, attention, and memory.

Discussion and implications: The findings demonstrated the bidirectional relationships between DS and CF and showed their shared improvements during psychosocial intervention. Treating depression is expected to benefit cognition, potentially preventing cognitive decline and dementia. Combining depression and cognition components in integrated intervention approaches may enhance their reciprocal response. Early intervention at a lower depression level may achieve greater cognitive benefits.

老年人抑郁与认知功能之间的双向关系:来自老年抑郁的社会心理干预的证据。
背景和目的:抑郁症是一种可改变的痴呆症预测因子,但解决抑郁症以改善认知的效果,特别是心理社会干预,尚未得到充分研究。抑郁症状(DS)与认知功能(CF)之间的潜在关系也不清楚。大多数先前的研究都是观察性的,缺乏对干预期间它们相互作用的了解。本研究通过对老年人进行社会心理干预,考察了DS和CF之间的纵向关系,将变化建模为潜在变量,以获得更准确的估计。研究设计和方法:该研究利用了JC JoyAge的参与者数据,这是一个针对老年心理健康的社区逐步护理项目。轻度至中度退行性痴呆的参与者(≥60岁)(N = 4,412)在项目前后完成了退行性痴呆和CF评估(如注意、语言、定向、记忆域)。计算潜在变化评分模型来检查DS和CF的变化及其相互作用。结果:干预后,参与者的DS和CF平均改善。更大的DS降低与CF的改善相关。更高的基线CF预测更大的DS降低,而更低的基线DS预测整体CF、注意力和记忆的改善更大。讨论和启示:研究结果显示了退行性痴呆和CF之间的双向关系,并显示了它们在社会心理干预期间的共同改善。治疗抑郁症有望改善认知能力,潜在地预防认知能力下降和痴呆。在综合干预方法中结合抑郁和认知成分可以增强它们的相互反应。在较低抑郁水平的早期干预可能会获得更大的认知益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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