SciELO - Scientific Electronic Library Online

 
vol.86 número1Estado nutricional y características socioepidemiológicas de escolares chilenos, OMS 2007Riesgo relacional madre-recién nacido: Estudio de prevalencia y variables asociadas índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Revista chilena de pediatría

versión impresa ISSN 0370-4106

Resumen

COSSIO-BOLANOS, Marco; VIDAL-ESPINOZA, Rubén; LAGOS-LUCIANO, Juan  y  GOMEZ-CAMPOS, Rossana. Nutritional status in children with intellectual disabilities based on anthropometric profile. Rev. chil. pediatr. [online]. 2015, vol.86, n.1, pp.18-24. ISSN 0370-4106.  http://dx.doi.org/10.1016/j.rchipe.2015.04.004.

Introduction: Anthropometric variables such as weight, height and body length in children and adolescents with and without intellectual disabilities should be studied in connection with nutritional status, physical growth and biological maturation. Objective: a) to analyze the anthropometric profile based on nutritional status, b) to determine the prevalence of overweight and short stature c) to propose equations for predicting height from anthropometric variables. Methods: A total of 49 children and adolescents with intellectual disabilities, and from a special education school were studied (30 boys and 19 girls). Weight, height, trunk-cephalic height, forearm and foot length were evaluated. The calculation of nutritional status resulted in the establishment of nutritional categories: underweight, normal and overweight. Results: The anthropometric profile of males varies significantly when classified according to nutritional categories (P<.05); however no variations were observed in the girls (P>.05). Also, high values of overweight prevalence were observed in both genders (43% of boys and 26% of girls). Variables such as age, weight, length of the forearm in females, and foot length in males are good predictors of height (R2 = 91-94% males and R2 = 87% females). Conclusions: A high percentage of overweight cases were observed; therefore, rigorous control and monitoring of nutritional status are suggested. The proposed regression equations could be an option in schools to easily and simply predict height.

Palabras clave : Anthropometry; nutritional status; intellectual disability; schoolchildren.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons