Home » Topics » Nutrition and Anthropometry » Mothers BMI
| Mothers BMI [message #1556] |
Thu, 13 March 2014 09:47  |
user
Messages: 11
Registered: March 2014
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Member |
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Hi!
I am trying to measure the association between Childhood undernutrition and mother's BMI from Nepal DHS survey- 2011. I am using the dataset Household member Recode. I categorized variable ha40 in to three categories (for mothers BMI) and also i have categorized z-scores for Stunting, underweight and wasting....... When i tried to tabulate Stunting/Wasting/Underweight with mother's BMI, STATA says no observations...
I need help to solve the problem. I will be grateful to get some suggestions!!
Thank you.
Pawan
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| Re: Mothers BMI [message #1559 is a reply to message #1556] |
Thu, 13 March 2014 12:34  |
Reduced-For(u)m
Messages: 292
Registered: March 2013
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Senior Member |
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Could you post your Stata code on the board?
Also, you may want to consider using the child recode. That will have one observation per child, whereas the hh member recode includes everyone in the household including people not eligible for anthropometry (I think).
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| Re: Mothers BMI [message #1561 is a reply to message #1560] |
Thu, 13 March 2014 14:40 |
Reduced-For(u)m
Messages: 292
Registered: March 2013
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Senior Member |
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Hey there.
Just looking at the recode manual - is that a typo with hc70? Is it possible you want hc8? (hc7 is actually percentile, not z-score, so maybe it was a double-typo?)
I have always used the child recode for these. Also, in the HH member recode, you'd need to limit the age of your sample, I think, since some mothers (and maybe some fathers) would have anthro measurements too.
I'm guessing that, since your results worked with the child recode, you're happy using that? Or did you want to for sure get the HH recode working?
You should also probably weight these to get the DHS guide results, so you'd need the svyset command, and they svy: prefix before tabluate.
You good now?
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| Re: Mothers BMI [message #1564 is a reply to message #1561] |
Thu, 13 March 2014 16:10 |
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user-rhs
Messages: 132
Registered: December 2013
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Senior Member |
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User--the reason for the "no observations" message is that the people who have non-missing values for your maternal nutrition vbl don't overlap w/ the ppl that have non-missing values for your stunting vbl, you can confirm this via
tab stunting mother_nutrition,miss
Now, when I do child anthropometry, I've always used the HW variables instead of the HC variables. The difference, according to Tom Pullum (via Bridgette-DHS, link here: http://userforum.dhsprogram.com/index.php?t=rview&th=137 &goto=262#msg_262), is that HC is taken from ALL children in the household, whereas HW is taken from children whose mothers are in the household. Like Reduced-For(u)m, I use the Child Recode dataset when I do this.
For mother's BMI, I use V445. Note that this is in the women's recode file, so I guess you can miss the children of mothers who weren't the main respondent to the women's questionnaire in this way. When you use HW70 and V445, there is some overlap between mother's nutrition and child stunting:
. generate mother_nutrition=.
(5306 missing values generated)
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. replace mother_nutrition=1 if v445 >=1660 & v445 <1850
(362 real changes made)
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. replace mother_nutrition=2 if v445 >=1850 & v445 <2500
(1860 real changes made)
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. replace mother_nutrition=3 if v445 >=2500 & v445 <=3917
(249 real changes made)
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. tabulate mother_nutrition
mother_nutr
ition...Freq....Percent.Cum.
1.......362.....14.65...14.65
2.......1,860...75.27...89.92
3.......249.....10.08...100.00
Total...2,471...100.00
. generate stunting=.
(5306 missing values generated)
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. replace stunting =1 if hw70>=-600 & hw70<-200
(982 real changes made)
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. replace stunting =0 if hw70>=-200 & hw70<600
(1353 real changes made)
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.tabulate stunting
stunting.Freq.......Percent......Cum.
0.......1,353.......57.94.......57.94
1.........982.......42.06......100.00
Total...2,335......100.00
.tabulate stunting mother_nutrition,miss
mother_nutrition
stunting.......1...........2.........3........M......Total
0..............157.........990.......159.........47..1,353
1..............172.........717.......64..........29....982
M...............33.........153.......26.......2,759..2,971
Total..........362.......1,860.......249......2,835..5,306
. tabulate stunting mother_nutrition
mother_nutrition
stunting.......1.........2.........3.........Total
0..............157.......990.......159.......1,306
1..............172.......717........64.........953
Total..........329.....1,707.......223.......2,259
hth,
RHS
[Updated on: Thu, 13 March 2014 16:22] Report message to a moderator |
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