Perceived Social Support in Three Residential Contexts

Perceived social support measures and descriptions of social support networks for three groups of former patients living in community settings are presented. Findings suggest that former patients living independently are at a serious disadvantage. Results are discussed in terms of identifying the circumstances which need to be created to allow former patients to attain a reasonably supported existence through independent living rather than relying on non-normalizing placements such as group homes or living with families of origin.

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Perceived social support from Facebook friends matters: Facebook social support networks among people with depression

PsycEXTRA Dataset ◽

10.1037/e512142015-692 ◽

2014 ◽

Author(s):

Jiyoung Park ◽

David Lee ◽

Holly Shablack ◽

Phillipipe Verduyn ◽

Ethan Kross

Keyword(s):

Social Support ◽

Perceived Social Support ◽

Support Networks ◽

Social Support Networks

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Egocentric network characteristics of persons with Type 1 Diabetes and their relationships to perceived social support and well-being

10.31234/osf.io/fng7x ◽

2020 ◽

Author(s):

Tian Cheyne ◽

Michael A. Smith ◽

Thomas Victor Pollet

Keyword(s):

Social Support ◽

Type 1 Diabetes ◽

Emotional Support ◽

Perceived Social Support ◽

Well Being ◽

Support Networks ◽

Support Network ◽

Contact Network ◽

Social Support Networks

Objectives: The size of one's support network is positively related to health and well-being. It is therefore important to understand this association in people with Type 1 diabetes, which is hitherto unknown. Moreover, the type of support (emotional, instrumental, informational) offered likely varies by gender of both the person seeking support and offering support. We thus examine the relationship between the composition of (perceived) social support networks and well-being in a sample of 121 persons with Type 1 diabetes. Design: An egocentric social network survey, combined with survey measures. Main outcome(s): The size and composition of support networks and well-being. Measures: Participants indicated the type of support individuals in their contact network offered and their gender, alongside measures of perceived social support and well-being. They indicated which individuals offered which types of support (emotional, instrumental, informational). Results: Perceived support was associated with the actual size of the emotional support network. Further, the size of the emotional support network was associated with well-being. Using multilevel models we examined assortment by gender in social support networks. Compared to women, men were more inclined to list the opposite gender as support, especially for emotional and informational support. Conclusion: Mapping out an individual’s multidimensional support network paints a more complete picture of support than single item measures of support. Our findings suggest further avenues for studying the support networks of people with Type 1 diabetes.

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