For statistical analysis, a descriptive analysis of both PSAN + MNP and MNP groups will be carried out on sociodemographic variables, health status and nutritional status. The continuous variables will be expressed with their measures of central tendency and dispersion, for the categorical variables absolute and relative frequencies will be used. The hypothesis of equality of pre and post treatment hemoglobin differences between the groups (PSAN + MNP versus MNP) will be analyzed using a Student t test or Mann Whitney test, depending on whether the data follow a normal distribution. A statistically significant p value corresponding to 0.05 will be considered. The other secondary outcome variables (vitamin A, zinc, ferritin, transferrin) will be similarly analyzed. In order to control the systematic differences in the baseline characteristics between the intervention and control groups, it is proposed to use Propensity Score, which will include the variables of sex, age and other sociodemographic and nutritional variables considered potentially confusing. The score of the propensity score model will be used as a covariate in a linear regression model where it will be adjusted further by the pre-test values of the intervention (ANCOVA). An unadjusted preliminary analysis (initially described) will be presented and then a new analysis with the proposed adjustment. An additional analysis will be performed for the ferritin variable excluding patients with high CRP values.