| Under-5 Stunting variable for Household Level [message #29836] |
Mon, 12 August 2024 01:16  |
prash_geo
Messages: 2
Registered: July 2024
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Dear DHS Forum Community,
I am currently working on an analysis of stunting among children under 5 years old at the household level. To enhance my analysis, I have merged the "mergeChild01_17_parents"(merge children 0-17 in the PR file with ALL the data about their mothers and fathers and ALL the data in the BR file) file with the HR and KR file and also and ensure that household characteristics are well preserved in master output.
Could you advise which variables I should consider when analyzing stunting at the household level? Specifically, I am seeking guidance on which variables in these datasets are critical for accurately assessing and analyzing stunting among under-5 children.
Any insights into relevant variables or best practices for analyzing stunting in this context would be greatly appreciated.
Thank you in advance for your assistance.
[Updated on: Tue, 13 August 2024 04:14] Report message to a moderator |
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| Re: Under-5 Stunting variable for Household Level [message #29852 is a reply to message #29836] |
Tue, 13 August 2024 14:43  |
Janet-DHS
Messages: 880
Registered: April 2022
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Senior Member |
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Following is a response from DHS staff member, Tom Pullum:
The measurement of height and weight is done as part of the household survey, and the results are in the PR file as well as the KR file. That is, any child in the KR file with anthropometry data is also in the PR file, which has the household characteristics, so you can get household characteristics more directly than with the merge you did.
You can look at the final report for the survey(s) you are using. The standard tabulation plan includes some covariates. Maybe other users will have suggestions. DHS staff mostly provide help with specific technical questions, rather than research strategies.
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