Wan Ruihan, Tu Jingnan, Gao Jiahui, Cao Lei, Zhang Lin, Huang Jia, Liu Zhizhen
College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
J Alzheimers Dis. 2025 Jan;103(1):208-217. doi: 10.1177/13872877241299452. Epub 2024 Nov 25.
Although links between social networks and mild cognitive impairment (MCI) have been suggested. The pathway between social networks and MCI from the Person-Environment-Occupation (PEO) model perspective among older adults remains inconclusive.
To examine the relationship between social networks and MCI, and further identify whether neuropsychological factors mediate the relationship.
1036 participants aged 55 to 75 years were recruited from two districts of Fuzhou, China, from December 2020 to December 2022. Data were obtained via a face-to-face neuropsychological scale assessment. Social networks and cognitive function were assessed by the Lubben Social Network Scale and the Montreal Cognitive Assessment, respectively. The mediation model and structural equation model (SEM) pathway analysis were used to examine the direct and indirect effects of social networks on MCI via neuropsychological factors.
Data from 580 participants were analyzed (year: 65.16 ± 5.38). Regression analysis indicated that higher levels of social networks and psychological resilience were positively correlated with improved cognitive function, even after adjusting for demographic data. Increased depressive symptoms and poor sleep quality were linked to cognitive decline. Support from family members had a greater impact than support from friends in reducing the risk of developing MCI. The SEM model supported the hypothesis that significant indirect effects of social networks on MCI via psychological resilience, depressive tendencies, and sleep quality.
The effects of social networks on MCI are mediated by psychological resilience, depressive tendencies, and sleep quality.
尽管已有研究表明社交网络与轻度认知障碍（MCI）之间存在联系。但从人-环境-职业（PEO）模型的角度来看，老年人社交网络与MCI之间的路径仍不明确。
探讨社交网络与MCI之间的关系，并进一步确定神经心理因素是否介导了这种关系。
2020年12月至2022年12月期间，从中国福州的两个区招募了1036名年龄在55至75岁之间的参与者。通过面对面的神经心理量表评估获取数据。分别使用鲁本社交网络量表和蒙特利尔认知评估量表评估社交网络和认知功能。采用中介模型和结构方程模型（SEM）路径分析来检验社交网络通过神经心理因素对MCI的直接和间接影响。
对580名参与者的数据进行了分析（年龄：65.16±5.38岁）。回归分析表明，即使在调整人口统计学数据后，较高水平的社交网络和心理复原力与改善的认知功能呈正相关。抑郁症状增加和睡眠质量差与认知能力下降有关。在降低发生MCI的风险方面，来自家庭成员的支持比来自朋友的支持影响更大。SEM模型支持了社交网络通过心理复原力、抑郁倾向和睡眠质量对MCI产生显著间接影响的假设。
社交网络对MCI的影响是通过心理复原力、抑郁倾向和睡眠质量介导的。
