In the bivariate binary logistic regression, the variables including sex, current address, monthly income, presence of support giver, current CD4 count, current WHO T-staging, opportunistic infection, anemia, eating problem, dietary diversity score, counseling on optimal uptake of Macro- and micronutrients, counseling on symptom management, addressing any nutrition related complications, and khat chewing were identified as candidates to multivariable logistic regression with p-value<0.2. This evidence concerns the gene CD4 and anemia (phenotype).