Well I would use this:
Any mention of
Aristotle believes that there are three different kinds of friendship; that of utility, friendship of pleasure, and virtuous friendship.
and that you will likely lose all of the first two?Mine is massive after getting divorced and moving to Michigan.
What factors predict who will have a strong social network following a stroke?
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
Text - Accepted Version
Download (769kB) | Preview
Abstract
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.
Item Type: Article 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 URI: http://openaccess.city.ac.uk/id/eprint/13189
What factors predict who will have a strong social network following a stroke?
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
| Text - Accepted Version Download (769kB) | Preview |
Abstract
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.
| Item Type: | Article |
|---|---|
| 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 |
| URI: | http://openaccess.city.ac.uk/id/eprint/13189 |
No comments:
Post a Comment