Variations in Gestational Anthropometric Parameters of Pregnant Subjects and their Predictive Values of the Birth Weight of the Neonate

Arinze Chidiebele Ikeotuonye,Chinwe Wendy Oliobi,Chuma Conrad Egbuji,Christian Chidebe Anikwe,Lasbery Azuoma Asomugha,Johnbosco Ifunanya Nwafor

doi:10.34257/gjmrevol20is4pg11

Arinze Chidiebele Ikeotuonye, Chinwe Wendy Oliobi + Show 4 more

Open Access

https://doi.org/10.34257/gjmrevol20is4pg11

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Journal: Global journal of medical research	Publication Date: Jul 20, 2020
License type: CC BY 4.0

Abstract

Background: Birth weight is an important determinant of an infant’s well-being as low or large birth weight are associated with morbidities or mortality during pregnancy and later in life. Maternal anthropometry is a potential veritable tool in evaluation of pregnancy status and prediction of birth weight. Aim: This study was designed to determine the predictive values of the gestational variations of some anthropometric parameters in booked pregnant subjects at the antenatal clinic of Alex Ekwueme Federal University Teaching Hospital, Abakaliki and in which trimester these anthropometric parameters (weight, height, BMI, BSA) correlates better with the birth weight of a neonate.

Highlights

ObjectivesThis study was designed to determine the predictive values of the gestational variations of some anthropometric parameters in booked pregnant subjects at the antenatal clinic of Alex Ekwueme Federal University Teaching Hospital, Abakaliki andin which trimester these anthropometric parameters correlates better with the birth weight of a neonate
BMI had a sensitivity of 73% and specificity of 31% in determining if a baby would be macrosomic or low birth weight(weight less than 2.5 kilogrammes) while Body surface area (BSA) had a sensitivity of 84% and specificity of 65% in predicting same
From the above measurements were inserted into Conclusion: From the study it can be concluded that appropriate formulae to calculate the body mass index and determinants of birth weight are multifactorial

Summary

Objectives

This study was designed to determine the predictive values of the gestational variations of some anthropometric parameters in booked pregnant subjects at the antenatal clinic of Alex Ekwueme Federal University Teaching Hospital, Abakaliki andin which trimester these anthropometric parameters correlates better with the birth weight of a neonate. This study was designed to determine the predictive r5= 0.204 and p5= 0.017)

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Discussion

Conclusion