The social support networks of internet users

2006 ◽  
Vol 8 (1) ◽  
pp. 9-32 ◽  
Author(s):  
Valentina Hlebec ◽  
Katja Lozar Manfreda ◽  
Vasja Vehovar
2019 ◽  
Vol 25 (1) ◽  
pp. 128-151 ◽  
Author(s):  
Anne E. Roll ◽  
Barbara J. Bowers

Being embedded in social networks is crucial for well-being and health. While this is particularly the case for people with Down syndrome (DS), our knowledge of how their support networks are developed is limited. This article investigates the role of family members in developing and maintaining the social support networks of their adult children with DS. Based on 29 interviews with family members, a grounded theory study was conducted. The Family Building and Connecting (BAC) framework was developed, which distinguishes a “building” and a “connecting” approach. The building approach includes strategies that rely on family members and close friends for building a support network for the person with DS. The connecting approach includes strategies that connect the person with DS to external and often professional resources and services. Distinguishing these approaches is important for future research and for strengthening the support networks of people with DS and their families.


2020 ◽  
Author(s):  
Marjan Cugmas ◽  
Anuška Ferligoj ◽  
Tina Kogovšek ◽  
Zenel Batagelj

Population ageing requires society to adjust by ensuring additional types of services and assistance for elderly people. These may be provided by either organized services and sources of informal social support. The latter is especially important since a lack of social support is associated with a lower level of psychological and physical well-being. During the Covid-19 pandemic, social support for the elderly has proven to be even more crucial, also due to physical distancing. Therefore, this study aims to identify and describe the various types of personal social support networks of the elderly population during the coronavirus pandemic. To this end, a survey of Slovenians older than 64 years was conducted from April 25 to May 4, 2020 on a probability Web-panel-based sample (n = 605). The ego-networks were clustered by a hierarchical clustering approach for symbolic data. Clustering was performed for different types of social support (socializing, instrumental support, emotional support) and different characteristics of the social support networks (i.e., type of relationship, number of contacts, geographical distance). The results show that most of the elderly population in Slovenia have a satisfactory social support network, while the share of those without any (accessible) source of social support is significant. The results are particularly valuable for sustainable care policy planning, crisis intervention planning as well as any future waves of the coronavirus.


Author(s):  
Robert B. Hays ◽  
Sarah Chauncey ◽  
Linda A. Tobey

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