at www.blubberbuster.com/height_weight.html
It says that the chart was representative of typical kids in the 1970's and 1980's.

At Wisconsin, we got
3       3.5%  Underweight
5-75 54.5% Healthy Weight
85-90 19.1% Overweight
95-100 22.9 % Obese

-- Debbie Yoshihara


On 2/4/2015 12:58 PM, Apathy,Nate wrote:
Hi all - this didn't get CC'd to the list-serv when I made the comment 
originally.

Nate Apathy
Solution Manager, Cerner Research

-----Original Message-----
From: GPC Informatics [mailto:[email protected]]
Sent: Wednesday, February 04, 2015 12:43 PM
To: [email protected]; [email protected]; [email protected]; Apathy,Nate
Cc: [email protected]; [email protected]
Subject: Re: [gpc-informatics] #210: Query by BMI percentile among children.

#210: Query by BMI percentile among children.
-------------------------------------------------+----------------------
-------------------------------------------------+---
  Reporter:  bokov                                |       Owner:  gkowalski
      Type:  enhancement                          |      Status:  assigned
  Priority:  major                                |   Milestone:  cohort-
Component:  data-stds                            |  char1
  Keywords:  BMI pediatric-cohort obesity-cohort  |  Resolution:
  Blocking:  33                                   |  Blocked By:
-------------------------------------------------+----------------------
-------------------------------------------------+---

Comment (by nateapathy):

  Hi all - we tested this out at Cerner for CMH's BMI data and our breakdown  
came out as follows. The first column is the BMI Percentile group and the  
second column is the count of patients that fit into each bucket. We're  
hesitant to implement since the 100th percentile is the third most-  populated 
group. Are other sites getting similar results?

  Percentile | Count
  75         5173

  50         4144

  '''100        2851'''

  85         2500

  25         2061

  95         1846

  90         1486

  97         1065

  10         720

  3          717

  5          302


  Additionally, we are seeing non-standard-distribution in the larger  buckets 
of BMI percentiles:

  41% of patients between 25 and 75

  7.6% in bottom 10%

  25% in top 10%

  Are others seeing these results?

--
Ticket URL: 
<http://informatics.gpcnetwork.org/trac/Project/ticket/210#comment:9>
gpc-informatics <http://informatics.gpcnetwork.org/>
Greater Plains Network - Informatics

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