The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Topics » Nutrition and Anthropometry » Slight difference in the Senegal Stunting, Wasting, Underweight prevalence (Slight difference in the Senegal Stunting, Wasting, Underweight prevalence result)
Slight difference in the Senegal Stunting, Wasting, Underweight prevalence [message #24371] Tue, 03 May 2022 09:27 Go to previous message
tundexZ is currently offline  tundexZ
Messages: 4
Registered: March 2022
Member
Hi All,

I have tried to replicate the Senegal DHS Stunting, Wasting and Underweight results since (1986-2019) but it seem I keep getting slight different figures for some years. Is this results fine to work with? because I have gone through again all the merging process of all the datafile of the years together and yet I am still getting the same results or is there something I might have ommited?


Stunting (** indicates the results I got)
2019 DHS 17.9(17.7)** 2018 DHS 18.8(18.7)**, 2017 DHS 16.5 (16.5), 2016 DHS 17 (16.5)**, 2015 DHS 20.5 (20.4)**, 2014 DHS 18.7(18.7) 2012-13 DHS 18.7(18.4)**, 2010-11 DHS 26.5 (26.6)**, 2005 DHS 19.6 (19.3)**, 1992-93 (29.49) 1986 (28.21)

Wasting
2019 DHS 8.1 (8.1), 2018 DHS 7.8 (7.9)**, 2017 DHS 9(9.0), 2016 DHS 7.2(7.3)**, 2015 DHS 7.8(7.9)**, 2014 DHS 5.9(5.9), 2012-13 DHS 8.8 (8.7)** 2010-11 DHS 10.1(10.0)** 2005 DHS 8.5 (8.5)** 1992-93 (9.34), 1986 (5.13)

Underweight
2019 DHS 14.4 (14.1), 2018 DHS 15.1(15.1), 2017 DHS 14.4 (14.6)**, 2016 DHS 13.5 (13.5), 2015 DHS 15.5 (15.6)**, 2014 DHS 12.6(12.5)**, 2012-13 DHS 15.7 (15.7), 2010-11 DHS 17.7 (17.5)**, 2005 DHS 14.2 (13.7)**, 1992-93 (18.03), 1986 (16.99)


This are my codes for the analyis after merging all the dataset together

keep if hv103 ==1 & hc1 <=59
gen swt=hv005/1000000
gen haz=hc70/100
gen waz=hc71/100
gen whz=hc72/100
replace haz=. if haz>6
replace waz=. if waz>6
replace whz=. if whz>6
gen stunting=1 if haz<-2
replace stunting=0 if haz>=-2
replace stunting=. if haz==.
label define stunting 0"non stunted" 1"stunted",replace
label value stunting stunting
gen wasting=1 if whz<-2
replace wasting=0 if whz>=-2
replace wasting=. if whz==.
label define wasting 0"non wasted" 1"wasted",replace
label value wasting wasting
gen underweight=1 if waz<-2
replace underweight=0 if waz>=-2
replace underweight=. if waz==.
label define underweight 0"non underweight" 1"underweight",replace
label value underweight underweight
tab stunting if year==** [iweight= swt]
tab wasting if year==** [iweight= swt]
tab underweight if year==** [iweight= swt]

I have gone through again all the merging process of all the datafiles of the years together and yet I am still getting the same results or is there something I might have ommited?

Thank you in anticipation for your response

Regards,
Babs

[Updated on: Tue, 03 May 2022 12:38]

Report message to a moderator

 
Read Message
Read Message
Read Message
Read Message
Previous Topic: MDD-W for Rwanda
Next Topic: Sierra Leone 2019
Goto Forum:
  


Current Time: Wed Mar 29 13:22:06 Coordinated Universal Time 2023