Related Experiment Video
Updated: May 30, 2026
09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Estimation of gestational age from fundal height: a solution for resource-poor settings
Lisa J White1, Sue J Lee, Kasia Stepniewska
1Centre for Clinical Vaccinology and Tropical Medicine, Nuffield Department of Clinical Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 7LJ, UK. lisa@tropmedres.ac
Journal of the Royal Society, Interface
|August 19, 2011
Summary
Accurate gestational age assessment is crucial for maternal health. A new multiple-measures model using symphysis-pubis fundal height (SFH) measurements significantly improves prediction accuracy in resource-poor settings without ultrasound.
Area of Science:
- Maternal and Fetal Health
- Obstetrics and Gynecology
- Global Health
Background:
- Reliable gestational age assessment is often unavailable in resource-poor settings due to lack of ultrasound (US) and standardized newborn dating methods.
- Accurate gestational age is critical for optimal maternal and neonatal care, influencing interventions and delivery timing.
- Symphysis-pubis fundal height (SFH) measurement is a commonly used proxy for gestational age in underserved regions.
Purpose of the Study:
- To develop and validate a novel multiple-measures model for predicting expected date of delivery (EDD) using SFH data.
- To compare the accuracy of the new model against existing linear and nonlinear models.
- To enhance gestational age estimation in settings lacking advanced diagnostic tools like ultrasound.
Main Methods:
- A prospective cohort study collected early ultrasound (US) and serial symphysis-pubis fundal height (SFH) measurements from pregnant women.
- A bespoke multiple-measures model was developed using SFH data and the slopes between measurements.
- The predictive accuracy of the multiple-measures model was compared with linear and nonlinear models using the same SFH data.
Main Results:
- The bespoke multiple-measures model demonstrated superior performance in predicting gestational age compared to linear and nonlinear models.
- Prediction accuracy improved with an increased number of SFH measurements; six measurements yielded an accuracy of ±2 weeks.
- Incorporating at least three SFH measures and their slopes significantly increased prediction accuracy.
Conclusions:
- The developed multiple-measures model offers a significant improvement in gestational age prediction accuracy using SFH measurements.
- This model provides a practical and more accurate alternative for gestational age assessment in resource-poor settings.
- Further utilization of SFH measurements, particularly multiple data points, can enhance antenatal care and improve maternal-newborn outcomes.
