Northcott, S., Marshall, J. & Hilari, K. (2016). What factors predict who will have a strong social network following a stroke?. Journal of Speech Language and Hearing Research, doi: 10.1044/2016_JSLHR-L-15-0201
- Accepted Version
Download (769kB) | Preview
Purpose: Measures of social networks assess the number and nature of a person's social contacts, and strongly predict health outcomes. We explored how social networks change following a stroke and analysed concurrent and baseline predictors of social networks six months post stroke.
Method: Prospective longitudinal observational study. Participants were assessed two weeks (baseline), three months and six months post stroke. Measures included: Stroke Social Network Scale; MOS Social Support Survey; NIH Stroke Scale; Frenchay Aphasia Screening Test; Frenchay Activities Index; and the Barthel Index. ANOVA and standard multiple regression were used to analyse change and identify predictors.
Results: 87 participants (37% with aphasia) were recruited; 71 (16% with aphasia) were followed up at six months. Social network scores declined post stroke (p = .001). While the Children and Relatives factors remained stable, the Friends factor significantly weakened (p <.001). Concurrent predictors of social network at six months were: perceived social support, ethnicity, aphasia and extended ADL (adjusted R 2 = .42). There were two baseline predictors: pre-morbid social network and aphasia (adjusted R 2 = .60).
Conclusions: Social networks declined post stroke. Aphasia was the only stroke-related factor measured at the time of the stroke that predicted social network six months later.
|Additional Information:||Copyright American Speech-Language-Hearing Association 2016. Published here http://jslhr.pubs.asha.org/article.aspx?articleid=2532768|
|Subjects:||R Medicine > RA Public aspects of medicine|
|Divisions:||School of Health Sciences > Department of Language & Communication Science|
Actions (login required)
Downloads per month over past year