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Home » Topics » Nutrition and Anthropometry » Complementary foods - how to interpret dataset contents
Complementary foods - how to interpret dataset contents [message #1402] Sat, 22 February 2014 09:24 Go to next message
suziezed is currently offline  suziezed
Messages: 3
Registered: February 2014
Member
I am doing a master's thesis on sex differentials in feeding practices in Indian children. One thing I want to look at is dietary diversity. To do this I need to be able to tell how many food groups children have received food from in the previous day. This information is captured in the women's questionnaire for just the youngest child born since 2003 (I am using NFHS-3 data from 2005/2006).

I am confused as to how to understand the information contained in variables 414A-414R. I do not understand what food group each variables refers to. Here is an example - the RECODE MAP for DHS-V says that variable V414G is whether or not the child was given EGGS the previous day or night. But on the women's questionnaire for NFHS-3 question 480, which is about complementary foods, has EGGS listed as 'L' in a list of A-R.

Do I map letters to foods/food groups from the RECODE MAP or the QUESTIONNAIRE?

Thanks so much for the help.

Susan
Re: Complementary foods - how to interpret dataset contents [message #1407 is a reply to message #1402] Sat, 22 February 2014 14:47 Go to previous messageGo to next message
Liz-DHS
Messages: 1516
Registered: February 2013
Senior Member
Dear User,
Please use the Recode Map. The variables have been recoded from the raw to the recode and you have the recoded data. The recode data is what gets distributed. Each one of those food group questions needed to be recoded in order to have the following values: 0 no, 1 yes, 8 dk, 9 missing, blank N/A and to be used in the recode dictionary in order to create the recode data set.

Following is a piece of code to give you an idea of what is happening and to see where the recode variables are coming from:
{ feeding practices for children }
{ at least one child born in the last three years and living with respondent }
if count(RECODE5.REC21 where V008 - B3 < 36 & B9 = 0) then
V409 = YesNo( Q479A ); { plain water }
V410 = YesNo( Q479D ); { !! juice }
V410A = YesNo( Q479E ); { tea/cofee }
V411 = YesNo( Q479C ); { any kind of milk }
V411A = YesNo( Q479B ); { formula }
V412 = notappl; { !! just fresh milk }
V412A = YesNo( Q480B ); { baby cereal }
V412B = YesNo( Q480A ); { other porridge/cereal }
V413 = YesNo( Q479F ); { other liquids }
V413A = notappl; { !! CS liquid }
V413B = notappl; { !! CS liquid }
V413C = notappl; { !! CS liquid }
V413D = notappl; { !! CS liquid }
V414A = YesNo( Q480J ); { !! CS food }
V414B = YesNo( Q480K ); { !! CS food }
V414C = YesNo( Q480N ); { !! CS food }
V414D = YesNo( Q480O ); { !! CS food }
V414E = YesNo( Q480C ); { bread/rice/noodles }
V414F = YesNo( Q480E ); { white potatoes, yams, manioc, cassava }
V414G = YesNo( Q480L ); { eggs }
V414H = notappl; { YesNo( Z579K1 ); { beef, pork, lamb } }
V414I = YesNo( Q480D ); { pumpkin, carrots, squash }
V414J = YesNo( Q480F ); { dark green, leafy vegetables }
V414K = YesNo( Q480G ); { mangoes, papayas }
V414L = YesNo( Q480H ); { other fruits, vegetables }
V414M = YesNo( Q480I ); { liver, kidney, organ meats }
V414N = YesNo( Q480M ); { fresh/dried fish/shellfish }
if Q480N = missing & Q480O = missing then { food made from beans, peas, lentils, nuts }
V414O = missing
elseif Q480N = 8 & Q480O = 8 then
V414O = 8
elseif Q480N = 1 | Q480O = 1 then
V414O = 1
else
V414O = 0
endif;
V414P = YesNo( Q480P ); { cheese, yogurt, milk products }
V414Q = YesNo( Q480Q ); { oil, fats, butter }
V414R = notappl; { YesNo( Z579Q1 ); } { sugary foods, chocolate, sweets, candies }
V414S = YesNo( Q480R ); { any other solid, semi-solid }
V414T = notappl; { !! CS food }
V414U = notappl; { !! CS food }
}

Other resources in using our data are The Guide to DHS Statistics http://www.measuredhs.com/pubs/pdf/DHSG1/Guide_to_DHS_Statis tics_29Oct2012_DHSG1.pdf and theStandard Recode Manual http://www.measuredhs.com/pubs/pdf/DHSG4/Recode6_DHS_22March 2013_DHSG4.pdf

Hope this helps. If this does not answer your question, please feel free to post again.
Thank you!


Re: Complementary foods - how to interpret dataset contents [message #1431 is a reply to message #1402] Tue, 25 February 2014 10:57 Go to previous message
suziezed is currently offline  suziezed
Messages: 3
Registered: February 2014
Member
Thanks so much Liz - I think I've got it now!

Really appreciate the help.

Susan
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