Deans' stroke musings: What factors predict who will have a strong social network following a stroke?

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, January 24, 2018

What factors predict who will have a strong social network following a stroke?

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?

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

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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