BMI-for-age WHO 2007 reference

[rumana akter]

Hello,

May I know the syntax to calculate BMI-for-age for 5-19 years using WHO 2007 reference.

Thank you
Rumana

[Phil Bromiley]

You didn't get a quick answer. You'll increase your chances of a useful answer by following the FAQ on asking questions - provide Stata code in code delimiters, readable Stata output, and sample data using dataex. Assume we are not from your area - while many of us know what a BMI means, we don't know what the WHO 2007 reference is (and you don't provide a full reference even if we wanted to look it up).

Without any idea of your data structure and you not telling us what you want to calculate in your posting, we can't do much for you.

[Roman Mostazir]

While you definitely want to follow the sound advice provided by Phil, I wildly assuming that you want to calculate BMI-z scores based on WHO-reference and if this is correct you need to install 'zanthro' package written by Time Cole et al. Search the package within Stata and install it :

findit zanthro

Once you have installed it, here is an example with fictitious data:

*******Data example*********

 li age sex wt ht bmi in 1/10, clean noobs

    age      sex         wt         ht        bmi  
      2     Male   5.291037   49.95124   21.20549  
      2     Male   18.93428   47.65528   83.37325  
      1     Male   16.36238   36.64532   121.8455  
      1     Male   8.293083   35.16745   67.05547  
      5     Male   7.135417   40.05818   44.46691  
      2     Male   9.416173   71.39209   18.47457  
      1     Male   15.43571   30.44741   166.5044  
      2   Female   10.60429   64.37216   25.59089  
      3     Male   20.87511   47.90104   90.97852  
      5     Male   5.334219   51.02323   20.48967  


******Calculate BMI for Age based on WHO reference 2007***********

egen zbmiwho = zanthro(bmi,ba,WHO), xvar(age) gender(sex) gencode(male=1, female=0) nocutoff

li age sex wt ht bmi zbmiwho in 1/10, clean noobs

 age      sex         wt         ht        bmi    zbmiwho  
      2     Male   5.291037   49.95124   21.20549   3.307663  
      2     Male   18.93428   47.65528   83.37325   13.27944  
      1     Male   16.36238   36.64532   121.8455   16.91687  
      1     Male   8.293083   35.16745   67.05547   13.17655  
      5     Male   7.135417   40.05818   44.46691   8.722136  
      2     Male   9.416173   71.39209   18.47457   1.753551  
      1     Male   15.43571   30.44741   166.5044    18.5358  
      2   Female   10.60429   64.37216   25.59089   5.052953  
      3     Male   20.87511   47.90104   90.97852   17.12708  
      5     Male   5.334219   51.02323   20.48967   3.107458