Hi, Good Morning,

Your research among under five children malnutrition and you include the variables like stunting, wasting and underweight and etc.  Your study is hospital based or community based.  At the time of finding the sample size kindly use the prevalence of children malnutrition and finallaize the sample size according to that and refer some related journal papers.

You can find the HAZ score, WAZ score and WHZ score in SPSS 20 version itself.

kindly see attachment:

http://www.cmamforum.org/Pool/Resources/Nutritional-status-of-hospitalized-children-with-nutritional-anaemia-a-cross-sectional-study.pdf

Dear Sir,

The equation of z-score (Z) calculated is : Z ={(X/M)*L –1}/(L*S). [Where, X=height/weigh/BMI, L, M and S are the age specific values of appropriate table corresponding reference populations]. When you calculate Z-score you have to enter age/gender specific L,M,S value of the reference population. The easy way to calculate z-score by using any tool which is specifically design to do so. The WHO has developed a software Anthro to determine the nutritional status of children, which it is very convenient to the user . Using, this tool you will able to calculate your desired anthropometric indies of  HAZ, WAZ and WHZ very easily and in addition BMIAZ, MUACAZ, TSFZ among children 0-5 years. I am providing the link :

http://www.who.int/childgrowth/software/en/

Dear sir

please  in the first enter your data in the Anthro ( a good software for percentiles determined) and then transferred to spss.WHO Anthro is an application that facilitates the automatic analysis of individual data for children

www.who.int/childgrowth/software/en/

Dear sir,

indeed, the best way to calculate Z-scores is to use dedicated softwares. Anthro is the one developed by WHO. I also use sometimes the ENA software, developed in the frame of SMART survey methodology by Unicef.

both can be downloaded for free on internet. you'll find the link below for ENA software.  kind regards.

http://www.nutrisurvey.de/ena/ena.html

One advantage of the SMART method and ENA software is that when you export the data to excel (to be imported into SPSS, SAS, etc) is that you get additional variables - such as the age the child would be if his height were at the median (Height-age) and also MUAC-for-Height, this is the only place that MUAC-for-Height is routinely calculated that I am aware of.  There are other advantages - if you are doing a survey, then the "plausibility" check will give the distribution of the data, Q-Q plots, negative-Binomial and  Poisson distributions, age and sex evaluation etc. It will also automatically generate a report with all the data tabulated.  There is also an alternative method of dealing with outliers which is more appropriate than the WHO "flags" - see paper on my contributions on errors in measurement.

Incidentally, it was NOT generated by UNICEF. It was an initiative started after the 9/11 attacks by USAID to bring the US NGOs(PVOS) up to speed with the French NGOs in doing surveys. the seed funding came from Canada (CIDA).  The technical  aspects procefures, algorithms, software and innovations are governed by an independent Technical Advisory Group (of which I am the Chairman) and all other aspects are run by ACF-Canada - who host the web site, teach and promulgate the methods etc and administer the program and funding.

Thank you for this precision, Michael, and sorry for the mistake!

Hi,

I am finding differences in anthropometry scores in ENA software and WHO Anthro  though both used same WHO reference.. Please help

For NFHS-2 and NFHS-3

/*For Underweight (-SD), Stunting (-2SD), Wasting (-SD)*/

gen new_hw3=hw3/10 if hw3!=9999

gen new_hw2=hw2/10 if hw2!=999

label variable new_hw3 "Height of child"

label variable new_hw2 "Weight of Child"

label variable new_hw2 "Weight of Child (Kg)"

label variable new_hw3 "Height of child (cm)"

zscore06, a(hw1) s(b4) h( new_hw3) w(new_hw2) measure(hw15) male(1) female(2)

replace haz06=. if haz066

replace waz06=. if waz065

replace whz06=. if whz065

replace bmiz06=. if bmiz065

label variable haz06 "Length/height-for-age Z-score (stunting)"

label variable waz06 "Weight-for-age Z-score (Underweight)"

label variable whz06 "Weight-for-length/height Z-score (Wasting)"

gen below2_haz = (haz06 < -2)

gen below3_haz = (haz06 < -3)

gen below2_waz = (waz06 < -2)

gen below3_waz = (waz06 < -3)

gen below2_whz = (whz06 < -2)

gen below3_whz = (whz06 < -3)

label variable below2_haz "Stunting (-2SD)"

label variable below3_haz "Stunting (-3SD)"

label variable below2_waz "Underweight (-2SD)"

label variable below3_waz "Underweight (-3SD)"

label variable below2_whz "Wasting (-2SD)"

label variable below3_whz "Wasting (-3SD)"

replace below2_haz=. if haz06==.

replace below3_haz=. if haz06==.

replace below2_waz=. if waz06==.

replace below3_waz=. if waz06==.

replace below2_whz=. if whz06==.

replace below3_whz=. if whz06==.

/*(For NFHS-3)

For Underweight (-SD), Stunting (-SD), Wasting (-SD)*/

use IAKR52FL

gen haz06=hw70

replace haz06=. if hw70>=9996

gen waz06=hw71

replace waz06=. if hw71>=9996

gen whz06=hw72

replace whz06=. if hw72>=9996

(For -2SD)

gen below2_haz = ( haz06 < -200)

replace below2_haz=. if haz06==.

gen below2_waz = ( waz06 < -200)

replace below2_waz=. if waz06==.

gen below2_whz = ( whz06 < -200)

replace below2_whz=. if whz06==.

(For -3SD)

gen below3_haz = ( haz06 < -300)

replace below3_haz=. if haz06==.

gen below3_waz = ( waz06 < -300)

replace below3_waz=. if waz06==.

gen below3_whz = ( whz06 < -300)

replace below3_whz=. if whz06==.

label variable haz06 "Length/height-for-age Z-score (stunting)"

label variable waz06 "Weight-for-age Z-score (Underweight)"

label variable whz06 "Weight-for-length/height Z-score (Wasting)"

label variable below2_haz "Stunting (-2SD)"

label variable below3_haz "Stunting (-3SD)"

label variable below2_waz "Underweight (-2SD)"

label variable below3_waz "Underweight (-3SD)"

label variable below2_whz "Wasting (-2SD)"

label variable below3_whz "Wasting (-3SD)"

save IAKR52FL, replace

will using the Anthro software or macro provided by the WHO provide me zscores for individual children as well or just the means?

I want to calculate the zscore for each child individually too. Please help

thank you

I agree with what Maryam Javadi suggested.

For #Stata Users:

There is some correction in the above commands if you want that the values of stunting, wasting and underweight will match with the report, use person file- IAPR File and use following commands:

use IAPR74FL.DTA

// CHILD MALNUTRITION INDICATORS (according to WHO) by SK Shukla

** STUNTING = Weight-for-height by SK Shukla

gen stunting=0 if hv103==1

replace stunting=. if hc70>=9996

replace stunting=1 if hc70=9996

replace wasting=1 if hc72=9996

replace underweight=1 if hc71

Anthro software could be used.

https://youtu.be/vZBbDB9tBmI

Hi, you can use the tables defined by WHO through the program Anthro survey analyser.

you can find the instructions in this link https://www.who.int/childgrowth/software/anthro_pc_manual_v322.pdf?ua=1

thanks!

If you need an assistance please e-mail me [email protected]

can anybody tell me about NFHS-4 recoding of HAZ, WAZ & WHZ in the SPSS-20 version? @sudheer kumar shukla