Structure of personal networks and cognitive abilities: A study on a sample of Italian older adults

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Federico Bianchi , Matteo Piolatto , Alessandra Marengoni , Flaminio Squazzoni
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引用次数: 0

Abstract

Research in social gerontology has suggested that structural complexity of personal networks could moderate cognitive decline of older adults. In line with the environmental complexity hypothesis, their cognitive functioning would benefit from a high number of cohesive subgroups in their own personal networks, i.e., various social foci, thanks to higher cognitive stimuli from various social interactions. Yet, past studies considered only compositional diversity of networks due to lack of data on alter–alter ties. To fill this gap, we collected survey ego-network data on frequent social contacts (including alter–alter ties) and cognitive functioning on a sample of individuals aged 75 in Brescia, Italy (N=230). As a proxy for social foci, we detected cohesive subgroups within each respondent’s personal networks. Results showed a positive association between the number of cohesive subgroups and cognitive functioning, regardless of the network size, while controlling for relevant socio-demographic attributes and depression symptoms. Our findings testify to the importance of granular network data in studying the link between social relationships and cognitive functioning.

个人网络结构与认知能力:意大利老年人样本研究
社会老年病学的研究表明,个人网络的结构复杂性可以缓解老年人的认知能力下降。根据环境复杂性假说,他们的认知功能将受益于他们自己的个人网络中的大量有凝聚力的亚群,即各种社会焦点,这要归功于来自各种社会互动的更高认知刺激。然而,由于缺乏关于改变关系的数据,过去的研究只考虑了网络的组成多样性。为了填补这一空白,我们收集了意大利布雷西亚一个年龄≥75岁的样本(N=230)的频繁社交接触(包括改变关系)和认知功能的自我网络调查数据。作为社会焦点的代理,我们在每个受访者的个人网络中检测到了有凝聚力的亚群。结果显示,无论网络规模如何,在控制相关社会人口学特征和抑郁症状的同时,凝聚力亚组的数量与认知功能之间存在正相关。我们的研究结果证明了细粒度网络数据在研究社会关系和认知功能之间的联系方面的重要性。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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