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RE: st: body mass index


From   "Rogge, Mary M" <mmrogge@iupui.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: body mass index
Date   Wed, 5 Nov 2003 13:56:29 -0500

Thanks, Michael, I agree the zanthro package may be just what I am
hunting for.  From the abstract, I think that the data for the British
and CDC reference populations were pooled with International data, to
create the bmi cut points, making them the same for the US and Great
Britain.  I am going to download the package tonight, try a run with my
data, and spot check to see if they match the CDC standards, or at least
how much they are off. Thanks for sharing this information.
Mary Rogge
IU School of Nursing



-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Michael
Blasnik
Sent: Wednesday, November 05, 2003 11:53 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: body mass index

I think you ought to have followed up on Nick Cox's reference to the the
UK
Stata Users group meeting.  I think your problem may be directly solved
if
you look at zanthro package on the web site:

http://www.rch.org.au/CEBU/works_in_progress.htm

The site includes ado files and associated lookup datasets to get z
stats
(and therefore percentiles) for various anthropometric measures,
including
bmi, by age and gender.  I think it's all implemented through egen
commands.

Michael Blasnik
michael.blasnik@verizon.net


----- Original Message ----- 
From: "Rogge, Mary M" <mmrogge@iupui.edu>
To: <statalist@hsphsun2.harvard.edu>
Sent: Wednesday, November 05, 2003 10:02 AM
Subject: RE: st: body mass index


> Thanks, Sarah, I made be able to modify it to tackle my problem.
Thanks
> for responding.
> Mary
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Sarah A.
> Mustillo
> Sent: Tuesday, November 04, 2003 12:15 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: body mass index
>
> Mary -
>
> This isn't exactly what you are asking for, but it may be helpful.
This
> is
> a simple do-file that creates variables for overweight and obese based
> on
> the 85th and 95th percentiles on the CDC growth charts by age and sex.
> This do-file assumes you already have a variable for bmi in your
dataset
>
> (bmi=wt/(ht*ht)):
>
<snip>


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