I agree, Annette,this is not really new. I remember listening to a paper, 
Perhaps 20 years ago at EPA. The authors used patients in therapy as subjects. 
All were instructed to discuss a recent incident that they found annoying, 
unpleasant, distressing. But 1/2 of the subjects were instructed to speak 
softly & slowly (i.e., calmly) while the other half were instructed to speak 
loudly & rapidly. Subjects were later asked to rate how distressing they found 
that incident. The subjects speaking calmly rated the incident as much less 
distressing & those instructed to speak in an "angry" voice reported that the 
incident had distressed them much more.





Edward I. Pollak, Ph.D.
Professor Emeritus of Psychology
West Chester University of Pennsylvania
Home page: http://home.comcast.net/~epollak/
Editor of "Ed's Bluegrass Newsletter" at 
http://home.comcast.net/~epollak/bgnews.htm
Husband, father, grandfather, bluegrass fiddler & 
biopsychologist............... in approximate order of importance


 Subject: RE: Analyses support theory that Botox might alleviate depression
From: Annette Taylor <tay...@sandiego.edu>
Date: Tue, 2 Jun 2015 14:00:45 +0000
X-Message-Number: 1

This is actually pretty old news. I heard these reports going back several 
years. Granted, this is a meta-analysis that includes studies that go back 
several years, I'd imagine (it was an orally presented paper presentation and I 
assume is not yet in print? Or was rejected for publication?)

You can also read about it here: 
http://www.botoxfordepression.com/research-botox-for-depression/

and here:
http://www.nbcsandiego.com/news/health/Botox-May-Help-Alleviate-Depression-116730639.html
The latter goes back to 2011.

So, if this is so effective why is treatment with botox not far more widespread?

But what struck me in the link provided below is this set of sentences:

For botulinum patients versus placebo patients, the odds ratio for a response 
was 8.3, with a 95% confidence interval from 3.4 to 20.3.
Similarly, the odds ratio for a remission was 4.6, with a 95% confidence 
interval from 1.6 to 13.1.

Now, if I'm a lay person, or even a modestly educated person about 
statistics--I've had the one class required for the major in psych, for 
example, I have no idea what this is telling me. I know the move is towards 
using CIs to report stats but I'd still want to see something more than this as 
a result.

How would a stats expert interpret these two sentences? (Certainly not me!)

I think it's pretty meaningless to a lay person who might think it's very 
important just because it's couched in such scientific sounding language.

Annette

ps: I favor the facial feedback hypothesis ;-)

________________________________

This e-mail message was sent from a retired or emeritus status employee of West 
Chester University.

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