Singapore Institute of Technology
Browse

Feeling lonely and dissatisfied – understanding social network functioning in stroke survivors

Download (1.52 MB)
journal contribution
posted on 2024-11-18, 06:04 authored by Jia En KamJia En Kam, Pei Ling ChooPei Ling Choo

Background: Post-stroke social networks are associated with functional recovery. However, there is little information on the social networks of stroke survivors and whether institutionalised and community-dwelling stroke survivors view their social relationships differently.

Purpose: To i) examine social networks of stroke survivors and any influencing sociodemographic factors, as well as to ii) compare differences between institutionalised and community-dwelling stroke survivors.

Methods: Stroke survivors were recruited from eight healthcare institutions in Singapore. Stroke Social Network Scale (SSNS) was administered to assess the social network functioning. Multidimensional State Boredom Scale (MSBS) was used to evaluate state boredom levels.

Results: 160 stroke survivors completed the study. Stroke survivors reported a mean (SD) of 53.7(17.2) on the SSNS total score. Institutionalised stroke survivors reported significantly lower SSNS scores than community-dwelling stroke survivors, (U = 1856.5, z=-4.234, p < .001). Nearly a third (30.6%, n = 49) of the stroke survivors reported feeling lonely. Only 28.1% (n = 45) stroke survivors reported being ‘Very Satisfied’ with their overall social network. Compared to community-dwelling stroke survivors, institutionalised stroke survivors felt more lonely (40.7%) and only 25% were very satisfied with their social network with all p < .05. A moderate correlation was found between SSNS ‘Satisfaction’ subdomain score and MSBS total score, r=-.401, p < .001.

Conclusions: Stroke survivors had poor functioning social relationships. This study found that the perceived social support of institutionalised stroke survivors was poorer than community dwelling stroke survivors. A large proportion of stroke survivors reported feeling lonely and were not satisfied with their social networks. Identifying those at risk may be a means to prevent loneliness, increase social network satisfaction to improve well-being and quality of life.

Funding

SIT Ignition Grant

History

Journal/Conference/Book title

BMC Psychology

Publication date

2024-10-15

Version

  • Published

Rights statement

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Corresponding author

peiling.choo@singaporetech.edu.sg

Project ID

  • 7668 (R-MOE-A404-H014) Understanding Physical Activity, Sleep and Social Interaction Patterns After Stroke