Curvas de crescimento intra-uterino de uma população de alto nível socioeconômico

• Autor(a) principal: Segre, Conceição A. M. [UNIFESP]
• Data de Publicação: 2001
• Outros Autores: Colletto, Gloria M. D. D., Bertagnon, José R. D.
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UNIFESP
• dARK ID: ark:/48912/001300001b75p
• DOI: 10.1590/S0021-75572001000300006
• Texto Completo: http://dx.doi.org/10.1590/S0021-75572001000300006; http://repositorio.unifesp.br/handle/11600/1189
• topic: newborn; child development; recém-nascido; desenvolvimento infantil

OBJECTIVE: growth curves can be used to assess intrauterine growth, to predict diseases in newborns, and to characterize different populations. The objective of this study was to obtain intrauterine growth curves of newborns from the maternity ward of the Hospital Albert Einstein (MAE) and compare them with intrauterine growth curves of a population from California, USA. METHODS: We plotted the growth curves according to weight at birth and gestational age, which was obtained according to information from the mother, after the 32nd week of gestation, between February 1995 and February 1999. We calculated the birth weights for the 10th, 50th, and 90th percentiles of weight at birth for each gestational age and compared them with those of the growth curves from California. RESULTS: The growth curves for the 10th and the 50th percentiles did not differ from the California growth curves. For the 90th percentile, however, the MAE growth curves were lower than those of California. The MAE population presented fewer small-for-gestational age (SGA) and big-for-gestational age (BGA) newborns when assessed according to the California curves. The categories of SGA, normal, and BGA for both male and female newborns indicated a statistically significant relation with the weight gain of mothers. CONCLUSIONS: The two populations assessed in this study were different according to intrauterine growth curves. Further studies should be carried out in order to identify specific factors that may be acting on the MAE population.