Resumen

TAPIA, Wilson et al. Curvas de crecimiento infantil para detectar precozmente la talla baja en el menor de 2 años. Cuad. - Hosp. Clín. [online]. 2014, vol.55, n.1, pp. 13-23. ISSN 1652-6776.

Abstract Research question: Do curves of children growth (height/age) let us to identify growth delayed in advance to short stature (<-2DS) and average age of abnormal growth on 6 to 24 years old children who are attended in health centers? Background: Chronic malnutrition is one of the nutritional problems with high magnitude in Latin-America and high prevalence in Bolivia. Objetive: To improve the use ofchildren's health cards data to let it identify abnormal growth in advance to short stature (<-2DS) and overage time of declination beginning from a normal growth lineal curve to across the -2DS relating this tendency whit the weight growth curve. Material and method: A descriptive and prospective longitudinal study, including 71 children less than 2 year's old age. The children's health card data were analyzed generating anthropometric indicators of them. Sort stature was classified as a height/age under -2DS. Results: The frequency of short stature in one or several controls was 38,08% taking place since the first control in 48,15%. Children who has short stature as beginning after the first control (51,85%) showed a height/age under -1DS in the first control in 64,29%. The Children who have begun short stature without weight/age <-2DE were 74,04%. There is a hard association between height/age under -1DS at the first control and short stature (chi2 14,07; p=0,0001). Conclusions: The children's growth curves used rightly let us identify growth delayed previously with a height/age under-1DS in the first control or 3,92 previous mouths to the diagnostic of short stature. In our environment, the short stature is characterized because of to take place in early age and is accompanied with weight growth delayed (weight/age) just in cases with beginning in the first control

Palabras llave : short stature; growth delayed; growth curves; linear growth; weight growth; primary health care; altitude.