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老年人的抑郁症状与认知功能:一项交叉滞后网络分析

Depressive Symptoms and Cognitive Function in Older Adults: A Cross-Lagged Network Analysis.

作者信息

Sun He-Li, Chen Pan, Bai Wei, Zhang Qinge, Sha Sha, Su Zhaohui, Cheung Teris, Ungvari Gabor S, Jackson Todd, Feng Yuan, Xiang Yu-Tao

机构信息

Unit of Psychiatry, Department of Public Health and Medicinal Administration and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.

Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.

出版信息

Depress Anxiety. 2024 Sep 21;2024:6166775. doi: 10.1155/2024/6166775. eCollection 2024.

Abstract

Depressive symptoms commonly co-occur with cognitive decline in older adults. However, prospective interrelationships between different cognitive function domains and depressive symptoms are not well understood. This study evaluated prospective interrelationships between depressive symptoms and cognitive functioning components among individuals aged 50 years or older from a perspective of network analysis. Longitudinal data from the English Longitudinal Study of Aging were analyzed. Depressive symptoms were measured with the eight-item Center for Epidemiologic Studies Short-Depression Scale. Cognitive functions assessed included memory, orientation, and executive function. Contemporaneous network analyses were conducted using mixed graphical model, while a temporal network model was assessed using cross-lagged panel network model. To identify important predictors and outcomes, centrality indices, including expected influence, out-expected influence, and in-expected influence, were calculated. A total of 6,433 older adults were included in the network analysis. Baseline "Not enjoy life" (CESD-6) was negatively associated with executive function at the follow-up assessment. Moreover, improvements in "Everything was an effort" (CESD-2) and "Loneliness" (CESD-5) were related to less future decline of executive function and memory ability. Furthermore, analyses suggested targeting "Lack of happiness" (CESD-4) could be useful in reducing the co-occurrence of depression and cognitive decline among older adults. This network analysis study highlighted dynamic interrelationships between depressive symptoms and cognitive decline in older adults. Findings suggest that interventions targeting specific depressive symptoms may have the potential to alleviate declines in executive function and memory for this population.

摘要

抑郁症状在老年人中通常与认知衰退同时出现。然而,不同认知功能领域与抑郁症状之间的前瞻性相互关系尚未得到充分理解。本研究从网络分析的角度评估了50岁及以上个体中抑郁症状与认知功能成分之间的前瞻性相互关系。对英国老年纵向研究的纵向数据进行了分析。使用包含8个条目的流行病学研究中心短抑郁量表测量抑郁症状。评估的认知功能包括记忆、定向和执行功能。使用混合图形模型进行同期网络分析,同时使用交叉滞后面板网络模型评估时间网络模型。为了确定重要的预测因素和结果,计算了中心性指标,包括预期影响、外向预期影响和内向预期影响。共有6433名老年人纳入网络分析。在随访评估中,基线时的“不享受生活”(CESD-6)与执行功能呈负相关。此外,“一切都很费劲”(CESD-2)和“孤独”(CESD-5)的改善与未来执行功能和记忆能力的下降减少有关。此外,分析表明,针对“缺乏幸福感”(CESD-4)可能有助于减少老年人抑郁和认知衰退的共现。这项网络分析研究突出了老年人抑郁症状与认知衰退之间的动态相互关系。研究结果表明,针对特定抑郁症状的干预措施可能有潜力缓解该人群的执行功能和记忆衰退。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d029/11919221/6f9c18feb7ff/DA2024-6166775.001.jpg

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