* lookup z formula for Weight for Length using l, m, s variables. Love\Desktop\ZPR_KIDS.sav" /drop = l,m,s. * next we will get the LMS numbers for lenlow and lenhigh. * so we will remember the original values here. * we will be doing many calculations with length2. * next we will find the upper level on LMS chart.Ĭompute lenhigh=rnd((length2+.05)*10)/10. * above makes double sure it will match lms chart. * first we will find the lower level on LMS chart. * if it does then interpolate on lms table. *next 3 statements keep only what we need (+ bit more, 61 mo), sort, save, and drop unneeded vars. * if not done already, need age in days to compare to norms. * = check inputs and create outputs for dbf file ANTHRO check =.ĭescriptives variables=weight2, length, lenhei2,agedays2,agedays3,agemos /statistics=mean stddev min max. If (missing(agedays2) and missing(lorh) and length=87) uselngth=2. * if age missing and indicator missing, use length of child to figure. If (missing(agedays2) and lorh=1) uselngth=1. If (missing(agedays2) and lorh=2) uselngth=2. If (missing(lorh) and missing(agedays2) and agemos=24) uselngth=2. If (missing(lorh) and agedays2=731) uselngth=2. * if missing the recumbent indicator but have age, we assume they have it right. * if negative age, impute it from months old. * compute days from day interviewed - day born.Ĭompute agedays3=(yrmoda(hc19,hc18,hc17)-yrmoda(hc31,hc30,hc16)). * if day of birth is missing, assumes the 15th. * oedema is not in DHS datasets as of this writing.ĬOMMENT * using RENAME allows value labels to transfer. * delete the above if oedema is in dataset. * DHS regards it as unreliable, so we will use age, or else length, to determine this. * Note that although DHS has a variable (hc15) to measure lying or standing height(lorh). Title "ZPR_KIDS using WHO Child Growth Standards". What am I doing wrong? Please see the syntax below. Once ran, I do not get any data in the variables assessing stunting, wasting etc. I keep getting error whenever I run the igrowup syntax provided by WHO. Please help! I merged DHS PR and KR data and have been trying to get the prevalence for stunting, underweight, and wasting in children using the 2015-2016 Malawi data.