Child growth curves are a tool used in pediatrics for characterizing anthropometric variables of interest on a determined population of children and teenagers. The first set of curves for the Colombian case seek to show the growth pattern for different anthropometric measurements on the main cities in the country, controlling the observed variability by the age and sex of the individuals in the sample. Nevertheless, international standards consider a healthy population in optimal growth conditions for the growth curves estimation to depict ideal growth patterns of healthy growth, moreover, representing the growth pattern by additional features such as pubertal development is of particular interest when studying human growth. Through a non-probabilistic sample of healthy children from Bogota city, the following work aims to estimate growth curves for contrasting the results with the national and international curves and to present a methodology of child growth curve estimation for height adjusting for pubertal development. The curve comparison is performed by regression models following international guidelines, while the proposed methodology combines longitudinal modeling of child growth with sparse functional data analysis and quantile regression methods.}, keywordspanish = {Análisis de datos funcionales, datos escasos, crecimiento infantil