Exploring Maternal Nutrition and Its Impact on Fetal Growth Patterns in Urban Communities: A Study on Pregnant Women in Ojo, Lagos State, Nigeria
Published: 2024-11-16
Page: 461-465
Issue: 2024 - Volume 7 [Issue 2]
Enaohwo Taniyohwo Mamerhi
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
Isioma Cynthia Nwaokoro
Department of Human Anatomy, University of Delta, Agbor, Delta State, Nigeria.
Trust Azubike Ijeomah
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
Ukah Emmanuel
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
Kaine Omashim Oluwakemi
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
Ideh Daniel Oghenerioborue
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
Okoro Ogheneyebrorue Godswill *
Department of Human Anatomy, University of Delta, Agbor, Delta State, Nigeria.
Owhefere Great Owhefere
Department of Human Anatomy, University of Delta, Agbor, Delta State, Nigeria.
Omoko Eunice Omotewvie
Department of Human Anatomy and Cell Biology, Delta State University, Abraka, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Accurate estimation of fetal weight is crucial for prenatal care and decision-making. This study aimed to develop a fetal anthropometric model using ultrasound measurements to estimate fetal weight between 20-40 weeks of gestation in Ojo, Lagos State. A longitudinal study of 300 pregnant women was conducted, with obstetric ultrasoundscans images. Fetal biometric parameters (biparietal diameter and head circumference) were measured and correlated to estimate fetal weight using Hadlock’s formula. Regression analysis was used to develop a predictive model for estimating fetal weight. From the results,there was a negative correlation between fetal biometric parameters and estimated fetal weight (R2 = 0.113, p < 0.001). This study provides a reliable and accurate method for estimating fetal weight in the Nigerian population, enhancing prenatal care and obstetric decision-making.
Keywords: Fetal, anthropometry, estimation, ultrasound, Lagos state, Nigeria