Cross-Lagged Modeling of Cognition and Social Network Size in the Sydney Memory and Ageing Study

2020 ◽  
Author(s):  
Anne-Nicole S Casey ◽  
Zhixin Liu ◽  
Nicole A Kochan ◽  
Perminder S Sachdev ◽  
Henry Brodaty
Keyword(s):  
Social Network ◽  
Cognitive Function ◽  
Social Relationships ◽  
Sex Education ◽  
Cognitive Abilities ◽  
Network Size ◽  
Older Age ◽  
Cognitive Domains ◽  
Social Network Size ◽  
Ageing Study

Abstract Objectives This study assessed whether reciprocal relationships exist between cognitive function and the social network size of older adults, controlling for age, sex, education, medical conditions, and depressive symptoms. Methods Data were collected at biennial follow-ups over 6 years in the Sydney Memory and Ageing Study, a longitudinal cohort study including 1,037 community-based Sydney residents aged 70–90 years without dementia at baseline. We used random intercept cross-lagged panel models to investigate reciprocal associations between social network size and scores in each of 7 cognitive domains including a global score. Results Standardized models indicated that within-person deviation in expected language score predicted deviation in expected network size. Within-person deviation in prior expected social network size predicted deviation in expected executive function at year 6. Cross-lagged effects in models of both global cognition and memory, respectively, could not be attributed solely to within-person change. Discussion Findings support a co-constitutive view of cognitive function and social relationships in older age. Although both cognition and network size declined over time, slower than expected decline in language ability predicted less than expected contraction in social networks. A similar influence of network size on executive functioning indicated that relationships with friends and family outside of the home contributed significantly to the maintenance of higher order cognitive abilities in older late life. Diverse patterns of influence between cognitive domains and social network size over 6 years underscore the importance of assessing the complex and nuanced interplay between brain health and social relationships in older age.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

Is Social Network a Protective Factor for Cognitive Impairment in US Chinese Older Adults? Findings from the PINE Study

Gerontology ◽  
2017 ◽  
Vol 64 (3) ◽  
pp. 246-256 ◽  
Author(s):  
Mengting Li ◽  
Xinqi Dong
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Cognitive Impairment ◽  
Social Network ◽  
Cognitive Function ◽  
Protective Factor ◽  
Network Size ◽  
Chinese Older Adults ◽  
Cognitive Domains ◽  
Global Cognition

Background: Social network has been identified as a protective factor for cognitive impairment. However, the relationship between social network and global and subdomains of cognitive function remains unclear. Objective: This study aims to provide an analytic framework to examine quantity, composition, and quality of social network and investigate the association between social network, global cognition, and cognitive domains among US Chinese older adults. Methods: Data were derived from the Population Study of Chinese Elderly (PINE), a community-engaged, population-based epidemiological study of US Chinese older adults aged 60 and above in the greater Chicago area, with a sample size of 3,157. Social network was assessed by network size, volume of contact, proportion kin, proportion female, proportion co-resident, and emotional closeness. Cognitive function was evaluated by global cognition, episodic memory, executive function, working memory, and Chinese Mini-Mental State Examination (C-MMSE). Linear regression and quantile regression were performed. Results: Every 1-point increase in network size (b = 0.048, p < 0.001) and volume of contact (b = 0.049, p < 0.01) and every 1-point decrease in proportion kin (b = -0.240, p < 0.01) and proportion co-resident (b = -0.099, p < 0.05) were associated with higher level of global cognition. Similar trends were observed in specific cognitive domains, including episodic memory, working memory, executive function, and C-MMSE. However, emotional closeness was only significantly associated with C-MMSE (b = 0.076, p < 0.01). Social network has differential effects on female versus male older adults. Conclusion: This study found that social network dimensions have different relationships with global and domains of cognitive function. Quantitative and structural aspects of social network were essential to maintain an optimal level of cognitive function. Qualitative aspects of social network were protective factors for C-MMSE. It is necessary for public health practitioners to consider interventions that enhance different aspects of older adults' social network.

scholarly journals Late-Life Social Activity and Cognitive Decline in Old Age

2011 ◽  
Vol 17 (6) ◽  
pp. 998-1005 ◽  
Author(s):  
Bryan D. James ◽  
Robert S. Wilson ◽  
Lisa L. Barnes ◽  
David A. Bennett
Keyword(s):  
Cognitive Function ◽  
Cognitive Decline ◽  
Old Age ◽  
Sex Education ◽  
Social Activity ◽  
Cognitive Activity ◽  
Network Size ◽  
Sensitivity Analyses ◽  
Social Network Size ◽  
Rate Of Decline

AbstractWe examined the association of social activity with cognitive decline in 1138 persons without dementia at baseline with a mean age of 79.6 (SD = 7.5) who were followed for up to 12 years (mean = 5.2; SD = 2.8). Using mixed models adjusted for age, sex, education, race, social network size, depression, chronic conditions, disability, neuroticism, extraversion, cognitive activity, and physical activity, more social activity was associated with less cognitive decline during average follow-up of 5.2 years (SD = 2.7). A one point increase in social activity score (range = 1–4.2; mean = 2.6; SD = 0.6) was associated with a 47% decrease in the rate of decline in global cognitive function (p < .001). The rate of global cognitive decline was reduced by an average of 70% in persons who were frequently socially active (score = 3.33, 90th percentile) compared to persons who were infrequently socially active (score = 1.83, 10th percentile). This association was similar across five domains of cognitive function. Sensitivity analyses revealed that individuals with the lowest levels of cognition or with mild cognitive impairment at baseline did not drive this relationship. These results confirm that more socially active older adults experience less cognitive decline in old age. (JINS, 2011, 17, 998–1005)

scholarly journals P4-656: CROSS-LAGGED MODELLING OF GLOBAL COGNITION AND CORE SOCIAL NETWORK SIZE IN THE SYDNEY MEMORY AND AGEING STUDY

2019 ◽  
Vol 15 ◽  
pp. P1582-P1582
Author(s):  
Anne-Nicole S. Casey ◽  
Zhixin Liu ◽  
Nicole A. Kochan ◽  
Perminder S. Sachdev ◽  
Henry Brodaty
Keyword(s):  
Social Network ◽  
Network Size ◽  
Social Network Size ◽  
Ageing Study ◽  
Global Cognition

scholarly journals Social Networks and Loneliness During the COVID-19 Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312098525
Author(s):  
Balazs Kovacs ◽  
Nicholas Caplan ◽  
Samuel Grob ◽  
Marissa King
Keyword(s):  
Social Network ◽  
Social Isolation ◽  
Close Relationships ◽  
Network Size ◽  
Global Network ◽  
Network Data ◽  
Network Characteristics ◽  
Face To Face ◽  
Social Network Data ◽  
Social Network Size

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

scholarly journals Online social network size is reflected in human brain structure

2011 ◽  
Vol 279 (1732) ◽  
pp. 1327-1334 ◽  
Author(s):  
R. Kanai ◽  
B. Bahrami ◽  
R. Roylance ◽  
G. Rees
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Real World ◽  
Brain Structure ◽  
Grey Matter ◽  
Online Social Network ◽  
Network Size ◽  
Matter Density ◽  
Web Based ◽  
Social Network Size

The increasing ubiquity of web-based social networking services is a striking feature of modern human society. The degree to which individuals participate in these networks varies substantially for reasons that are unclear. Here, we show a biological basis for such variability by demonstrating that quantitative variation in the number of friends an individual declares on a web-based social networking service reliably predicted grey matter density in the right superior temporal sulcus, left middle temporal gyrus and entorhinal cortex. Such regions have been previously implicated in social perception and associative memory, respectively. We further show that variability in the size of such online friendship networks was significantly correlated with the size of more intimate real-world social groups. However, the brain regions we identified were specifically associated with online social network size, whereas the grey matter density of the amygdala was correlated both with online and real-world social network sizes. Taken together, our findings demonstrate that the size of an individual's online social network is closely linked to focal brain structure implicated in social cognition.

scholarly journals Estimation of the Active Social Network of Street Children in Shiraz (A City of Iran)

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Nasrin Motazedian ◽  
Mehrab Sayadi ◽  
Somaye Oboodi ◽  
Hassan Joulaei
Keyword(s):  
Social Network ◽  
Direct Method ◽  
Street Children ◽  
Scale Up ◽  
Sampling Technique ◽  
Target Population ◽  
Network Size ◽  
Hidden Population ◽  
Face To Face ◽  
Social Network Size

: Street children are a hard-to-reach population. Since the direct method is not feasible and has some limitations, we utilized the network scale-up (NSU) as an indirect method. This study was conducted in Shiraz municipalities. Our target population was Iranian boys between 10 to 18 years of age during the years 2014 to 2016. Three trained psychologists conducted face to face interviews with 86 street children (boys) on the streets, through the convenience sampling technique. The social network size of street boys in Shiraz was estimated at 17 persons (ranging from zero to 92 people, mean = 17 ± 17, median = 13). Overall, the network size of the hidden population might be smaller than the general population, due to the stigmatized nature of their behavior and place of work.

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