Relación del estado nutricional por Antropometría y la frecuencia de consumo de alimentos de las niñas y niños de 6 meses a 4 años 11 meses de la comunidad indígena Makaguan resguardo Cusay la Colorada del municipio de Fortul, Arauca.

Abstract

The nutritional status of people is the result of the relationship between the intake of energy and nutrients and the expenditure caused by nutritional requirements according to age, sex, physiological state and physical activity (Resolution 2465 of 2016). Similarly, in the National Survey of the Nutritional Situation (ENSIN) of 2015, chronic malnutrition (delayed height for age) decreased from 13.2% in 2010 to 10.8% in 2015, locating, however, above the average for South America (9.9%) and without reaching the MDG goal of 8%. The nutritional status was determined by anthropometry and its relationship with sociodemographic variables and food consumption of girls and boys from 6 months to 4 years 11 months of the Makaguan indigenous community Cusay la Colorada shelter of the municipality of Fortul, Arauca. A descriptive, prospective, correlational study was also carried out, with a sample of 40 indigenous girls and boys, a sociodemographic survey and anthropometric measurements (weight and height) were applied, where a direct relationship was obtained between nutritional status and variables such as sex, age, acute diarrheal disease ADD, acute respiratory infection ARI, among others, and food consumption. Similarly, the classification of the nutritional status of children was carried out using the "WHO Anthro" software, version 3.2.2 of January 2011 of the WHO, and finally the association of the independent variable was determined (nutritional status by anthropometry ) and dependent variables (sociodemographic and food consumption) to confirm the hypotheses raised or reject them. For data processing and analysis, the R study statistical package was used. The nutritional diagnosis by anthropometry (height for age and weight for height) have a significant relationship with sociodemographic variables, perception of illness, families and food consumption (<0.05%).