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.

Thursday, January 31, 2019

Transitioning From Successful Aging: A Life Course Approach

What is your doctor providing you to successfully age in spite of your stroke?

Transitioning From Successful Aging: A Life Course Approach 


First Published October 27, 2017 Research Article
Objective:
The life course perspective and representative U.S. data are used to test Rowe and Kahn’s Successful Aging (SA) conceptualization. Four sets of influences (childhood experiences, social structural factors, adult attainments, and later life behaviors) on SA transitions are examined to determine the relative role of structural factors and individual behaviors in SA.  
Method:
Eight waves of Health and Retirement Study data for 12,108 respondents, 51 years and older, are used in logistic regression models predicting transitions out of SA status.  
Results:
 Social structural factors and childhood experiences had a persistent influence on transitions from SA, even after accounting for adult attainments and later life behaviors—both of which also impact SA outcomes.
Discussion:
The findings on sustained social structural influences call into question claims regarding the modifiability of SA outcomes originally made in presentation of the SA model. Implications for policy and the focus and timing of intervention are considered.

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