0000000000484124

AUTHOR

J. M. Martin-moreno

showing 3 related works from this author

Can we improve the birth weight prediction?: the effect of normal BMI using a multivariate model

2015

Objective: The construction of a predictive model that improves the estimation of the fetal weight (EFW). Study Design: a comparative, descriptive study. One hundred forty pregnant women were recruited at two-stage sample in health department in Spain. They were classified in four groups depending on the pre-gestational BMI. Fetal weight at term was estimated by ultrasound at 33-35 weeks (EFW40w) by one gynecologist. A regression model was created with the variables that reacted to the newborn's weight, symphysis-fundal height (SFH), EFW40w, gestational age (GA), ferritin level and cigarettes smoked. Results: A multivariate model was created for the NW group to estimate the fetal weight (EF…

AnthropometryMultivariate analysisBirth weightPregnancyUltrasound
researchProduct

Asociación entre el índice de masa corporal materno, la ganancia de peso gestacional y el peso al nacer; estudio prospectivo en un departamento de sa…

2015

Objetivo: Contrastar la relación que existe entre la ganancia de peso gestacional y el peso del recién nacido, entre cada categoría de IMC pregestacional. Material y Métodos: Estudio observacional y descriptivo con muestreo bietápico en el Departamento de Salud de la Ribera (Valencia, España). Se clasificaron en cuatro grupos dependiendo del índice de masa corporal (IMC) pregestacional. Resultados: Se estudiaron 140 gestantes. La evolución de la ganancia de peso gestacional (GPG) y de sus gradientes trimestrales fue ascendente. Se produjo un mayor incremento del primer al segundo trimestre que del segundo al tercero para todas las categorías de IMC pregestacional. Según las recomendaciones …

AntropometríaEmbarazoGanancia de peso gestacionalÍndice de masa corporalPeso al nacer
researchProduct

¿Podemos mejorar la predicción del peso al nacer?: el efecto del IMC pregestacional normal usando un modelo multivariante

2015

Objective: The construction of a predictive model that improves the estimation of the fetal weight (EFW). Study Design: a comparative, descriptive study. One hundred forty pregnant women were recruited at two-stage sample in health department in Spain. They were classified in four groups depending on the pre-gestational BMI. Fetal weight at term was estimated by ultrasound at 33-35 weeks (EFW40w) by one gynecologist. A regression model was created with the variables that reacted to the newborn's weight, symphysis-fundal height (SFH), EFW40w, gestational age (GA), ferritin level and cigarettes smoked. Results: A multivariate model was created for the NW group to estimate the fetal weight (EF…

AnthropometryMultivariate analysisAntropometríaBirth weightPregnancyEmbarazoUltrasoundAnálisis multivarianteEcografíaPeso al nacer
researchProduct