{"title":"个人网络结构与认知能力:意大利老年人样本研究","authors":"Federico Bianchi , Matteo Piolatto , Alessandra Marengoni , Flaminio Squazzoni","doi":"10.1016/j.socnet.2023.02.005","DOIUrl":null,"url":null,"abstract":"<div><p>Research in social gerontology has suggested that structural complexity of personal networks could moderate cognitive decline of older adults. In line with the <em>environmental complexity hypothesis</em>, their cognitive functioning would benefit from a high number of cohesive subgroups in their own personal networks, i.e., various social <em>foci</em>, 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 <span><math><mo>≥</mo></math></span> 75 in Brescia, Italy (<span><math><mrow><mi>N</mi><mo>=</mo><mn>230</mn></mrow></math></span>). As a proxy for <em>social foci</em>, 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.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"74 ","pages":"Pages 71-77"},"PeriodicalIF":2.9000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structure of personal networks and cognitive abilities: A study on a sample of Italian older adults\",\"authors\":\"Federico Bianchi , Matteo Piolatto , Alessandra Marengoni , Flaminio Squazzoni\",\"doi\":\"10.1016/j.socnet.2023.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Research in social gerontology has suggested that structural complexity of personal networks could moderate cognitive decline of older adults. In line with the <em>environmental complexity hypothesis</em>, their cognitive functioning would benefit from a high number of cohesive subgroups in their own personal networks, i.e., various social <em>foci</em>, 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 <span><math><mo>≥</mo></math></span> 75 in Brescia, Italy (<span><math><mrow><mi>N</mi><mo>=</mo><mn>230</mn></mrow></math></span>). As a proxy for <em>social foci</em>, 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.</p></div>\",\"PeriodicalId\":48353,\"journal\":{\"name\":\"Social Networks\",\"volume\":\"74 \",\"pages\":\"Pages 71-77\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Networks\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378873323000205\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Networks","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378873323000205","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Structure of personal networks and cognitive abilities: A study on a sample of Italian older adults
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 (). 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.
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.