scholarly journals Frailty and Social Isolation: Comparing the Relationship between Frailty and Unidimensional and Multifactorial Models of Social Isolation

2020 ◽  
Vol 32 (10) ◽  
pp. 1297-1308
Author(s):  
John Maltby ◽  
Sarah A. Hunt ◽  
Asako Ohinata ◽  
Emma Palmer ◽  
Simon Conroy

Objective: The aim of the study was to compare uni- and multidimensional models of social isolation to improve the specificity of determining associations between social isolation and frailty. Methods: The study included participants aged ≥60 years from the English Longitudinal Study of Ageing assessed for social isolation and frailty (frailty index and Fried phenotype) over a 4-year period. Factor analysis assessed whether social isolation was multidimensional. Multiple regression analysis was used to assess specificity in associations between social isolation and frailty over time. Results: Social isolation comprises social isolation from nuclear family, other immediate family, and wider social networks. Over time, social isolation from a wider social network predicted higher frailty index levels, and higher frailty index and Fried phenotype levels predicted greater social isolation from a wider social network. Discussion: Social isolation is multidimensional. The reciprocal relationship between social isolation from wider social networks and accumulating frailty deficits, and frailty as a clinical syndrome influencing social isolation from social networks is discussed.

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Jun Long ◽  
Lei Zhu ◽  
Zhan Yang ◽  
Chengyuan Zhang ◽  
Xinpan Yuan

Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex. However, it is pervasive that a character is denoted by two or more vertices with different names; thus it is usually considered as multiple, different characters. This problem causes incorrectness of results in network analysis and mining. The factual challenge is that character uniqueness is hard to correctly confirm due to lots of complicated factors, for example, name changing and anonymization, leading to character duplication. Early, limited research has shown that previous methods depended overly upon supplementary attribute information from databases. In this paper, we propose a novel method to merge the character vertices which refer to the same entity but are denoted with different names. With this method, we firstly build the relationship network among characters based on records of social activities participating, which are extracted from multimedia sources. Then we define temporal activity paths (TAPs) for each character over time. After that, we measure similarity of the TAPs for any two characters. If the similarity is high enough, the two vertices should be considered as the same character. Based on TAPs, we can determine whether to merge the two character vertices. Our experiments showed that this solution can accurately confirm character uniqueness in large-scale social network.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 407-408
Author(s):  
Abhijit Visaria ◽  
Pildoo Sung ◽  
Angelique W M Chan

Abstract It is well established that a strong social network is an important factor for successful ageing, specifically for promoting and maintaining psychological wellbeing at older ages. Strong social networks are a source of social support especially at a time of need, and can also help older adults remain connected, active, and engaged in group activities. In this study, we seek to better understand the underlying pathways in the relationship between social networks and depressive symptoms, specifically comparing the extent to which the relationship is mediated by the receipt of material/monetary support, relative to perceived social isolation. We use data from the Panel on Health and Aging of Singaporean Elderly, a nationally-representative study of older Singapore citizens and permanent residents aged 60 years and older in 2009 (N=4990), with two follow-up surveys in 2011 (N=3103) and 2015 (N=1572). We conduct cross-lagged mediation analysis, and control for a number of potential confounders including cognitive function, chronic physical ailments, socioeconomic status, and demographic variables such as age, sex, marital status, and family size. Our preliminary analysis shows that a reciprocal relationship between social networks and depressive symptoms is mediated to a larger extent by social isolation compared to weaker social support.


Author(s):  
Abhishek Vaish ◽  
Rajiv Krishna G. ◽  
Akshay Saxena ◽  
Dharmaprakash M. ◽  
Utkarsh Goel

The aim of this research is to propose a model through which the viral nature of an information item in an online social network can be quantified. Further, the authors propose an alternate technique for information asset valuation by accommodating virality in it which not only complements the existing valuation system, but also improves the accuracy of the results. They use a popularly available YouTube dataset to collect attributes and measure critical factors such as share-count, appreciation, user rating, controversiality, and comment rate. These variables are used with a proposed formula to obtain viral index of each video on a given date. The authors then identify a conventional and a hybrid asset valuation technique to demonstrate how virality can fit in to provide accurate results.The research demonstrates the dependency of virality on critical social network factors. With the help of a second dataset acquired, the authors determine the pattern virality of an information item takes over time.


Author(s):  
Yair Amichai-Hamburger ◽  
Shir Etgar ◽  
Hadar Gil-Ad ◽  
Michal Levitan-Giat ◽  
Gaya Raz

Celebrities are famous people who often belong to entertainment industry. They are known to have a strong influence on people’s behavior. In the digital age this impact has expanded to include the online arena. Celebrities increasingly utilize Instagram, an online social network, to promote commercial products. It is important to learn to what extent people are influenced by this type of promotion and what sort of people are likely to be swayed by it. Research has demonstrated that people’s personalities have a strong impact on their behaviors online. However, until now, these investigations have not included the relationship between personality and the degree of celebrity influence through social networks. This study examines how much the personality of a user is related to the degree to which he or she is influenced by these Celebrity Instagram messages. Participants comprised 121 students (34 males, 87 females). They answered questionnaires which focused on their personality and were asked about the degree of influence celebrities exerted upon them through Instagram. Results showed that people who are characterized as being open and having an internal locus of control are more resistant to such celebrity influences. This paper demonstrates that the personality of a recipient is likely to influence the degree of impact that a celebrity endorsement is likely to produce. The implications of these results are discussed.


Author(s):  
Feriel Amelia Sembiring ◽  
Fikarwin Zuska ◽  
Bengkel Ginting ◽  
Rizabuana Ismail ◽  
Henry Sitorus

Aquaculture of Cage Culture is one of the main activities carried out by the community in the village of Haranggaol to fulfill their economic needs. This cultivation business establishes a relationship between traders and cages in terms of marketing their crops. There are 3 egocentric actors in the Haranggaol area. They are collectors (entrepreneurs/farmers who own capital), namely the Rohakinian group, the Siharo group, and the Paimaham group. Through these three egocentric actors, a social network is formed with several alters. Based on the qualitative approach with use Ucinet software, the mapping of their social networks can be seen as follows: alter actors connected to the Rohakinian group are 12 farmers in the group and 2 farmers outside the group with a density of 0.033. There are 27 alter actors connected to the Siharo group, 21 from the group and 6 from outside the group with a density of 0.014. There are 27 alter actors connected to the Paimaham group, namely 36 farmers from their groups and 10 farmers outside the group with a density of 0.005. The social networks that occur between these actors are intertwined due to the existence of kinship relationships, family or close friends who know each other among them. The relationship between family, family or close friends built with mutual trust make this network integrated.


2020 ◽  
Vol 17 (12) ◽  
pp. 5224-5228
Author(s):  
Indraah Kolandaisamy ◽  
Raenu Kolandaisamy

In the era of technology advancement and COVID-19 outbreak period, all physical classes have been converted to online classes through social network platforms. Having online classes through social networks are actually very comfortable and flexible for students as they can have their classes at various places. This paper is focuses on the relationship between usages of social network and the quality of education during COVID-19 outbreak.


2020 ◽  
Author(s):  
Jiyin Cao ◽  
Edward Bishop Smith

Previous research has demonstrated that the size and reach of people’s social networks tend to be positively related to their social status. Although several explanations help to account for this relationship—for example, higher-status people may be part of multiple social circles and therefore have more social contacts with whom to affiliate—we present a novel argument involving people’s beliefs about the relationship between status and quality, what we call status-quality coupling. Across seven separate studies, we demonstrate that the positive association between social status and network-broadening behavior (as well as social network size) is contingent on the extent to which people believe that status is a reliable indicator of quality. Across each of our studies, high- and low-status people who viewed status and quality as tightly coupled differed in their network-broadening behaviors, as well as in the size of their reported social networks. The effect was largely driven by the perceived self-value and perceived receptivity of the networking target. Such differences were significantly weaker or nonexistent among equivalently high- and low-status people who viewed status as an unreliable indicator of quality. Because the majority of participants—both high- and low-status—exhibited beliefs in status-quality coupling, we conclude that such a belief marks an important and previously unaccounted-for driver of the relationship between status, network-broadening behaviors, and social networks. Implications for research on social capital, advice seeking, and inequality are highlighted in the discussion section.


2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.


Author(s):  
Yanna Yannakakis

“Power of Attorney in Oaxaca, Mexico: Native People, Legal Culture, and Social Networks” is an ongoing digital research project that constructs a geography of indigenous legal culture through digital maps and visualizations. The Power of Attorney website analyzes relationships among people, places, and courts that were created by the granting of power attorney, a notarial procedure common across the Spanish empire. The primary actors in this story are indigenous individuals, communities, and coalitions of communities in the diocese of Oaxaca, Mexico, and the legal agents who represented them, some of whom were untitled indigenous scribes, and others, titled lawyers and legal agents of Spanish descent. The relationship between indigenous litigants and their legal agents created social networks and flows of knowledge and power at a variety of scales, some local and some transatlantic, whose dimensions changed over time. The pilot for the project focuses on the district of Villa Alta, Oaxaca, during the 18th century. “Power of Attorney in Oaxaca, Mexico: Native People, Legal Culture, and Social Networks” is an ongoing digital research project that constructs a geography of indigenous legal culture through digital maps and visualizations. The Power of Attorney (https://www.powerofattorneynative.com/) website analyzes relationships among people, places, and courts that were created by the granting of power attorney, a notarial procedure common across the Spanish empire. The primary actors in this story are indigenous individuals, communities, and coalitions of communities in the diocese of Oaxaca, Mexico, and the legal agents who represented them, some of whom were untitled indigenous scribes, and others, titled lawyers and legal agents of Spanish descent. The relationship between indigenous litigants and their legal agents created social networks and flows of knowledge and power at a variety of scales, some local and some transatlantic, whose dimensions changed over time. The pilot for the project focuses on the district of Villa Alta, Oaxaca, during the 18th century. The multiscalar narrative of the Power of Attorney project speaks to multiple audiences, and the digital multimedia format allows visitors to further tailor their interactions with information. The site operates on many levels. It provides maps and visualizations based on original research, data culled from primary sources that can be used as a research tool, historical and geographical background information, information about how to read letters of attorney, and microhistorical narratives of power of attorney relationships. For undergraduates learning about the relationship between Spanish administration and pueblos de indios, the maps and visualizations provide an at-a-glance overview of the spatial and social connections among Indian towns, ecclesiastical and viceregal courts, and the court of the king in Madrid from the perspective of an indigenous region rather than a top-down perspective. Graduate students and scholars interested in the production of notarial records in native jurisdictions, social history and ethnohistorical methodology and the relationship between local and transatlantic processes can explore the maps, visualizations, and data in greater detail. An educated general audience interested in the history of Oaxaca’s native peoples can find a general introduction to the region, its history and geography, and the long-standing relationship between Mexico’s native people and the law.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S648-S648
Author(s):  
Francesca Falzarano ◽  
Karen L Siedlecki ◽  
Timothy Salthouse

Abstract Decreased social networks are common in old age after major life events such as retirement, loss of loved ones, and declining health (Shankar et al., 2013). Diminished social ties are associated with increased feelings of loneliness and perceived isolation, which can have negative effects on cognition and physical health. The current study examines the relationship between social support (assessed via the Social Network Questionnaire) and overall cognitive performance (assessed as a latent construct comprising indicators that represent mean verbal episodic memory, processing speed, reasoning, and spatial visualization), and investigates positive affect and self-rated health as mediators of this relationship. The current study included 5,125 participants between the ages of 18-99 years from the Virginia Cognitive Aging Project (VCAP). Cross-sectional analyses were conducted using structural equation modeling. After controlling for age and education, results showed that a social support construct (comprising indicators representing each social network subscale) significantly and positively predicted cognitive performance (.59, p&lt; .001). This relationship was reduced to .22 (p &lt;.001) when positive affect was included as a mediator, and to .14 (p&lt; .001) when self-rated health was included as a mediator. When the variables were included in a joint mediation model the relationship between social support and cognition was .20 (p &lt; .001). Thus, health and positive affect are partial mediators of the relationship between social support and cognition and may help explain the relationship between social support and cognition. Furthermore, these findings provide additional evidence that social networks may play an important role in successful aging.


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