Loading...

2,281 posters, 63 videos, 56 audios, 43 topics, 18 sessions, 6,174 authors, 2,323 institutions

ePostersLive by SciGen Technologies S.A. All rights reserved.

RCOG World Congress 2025

June 23 - 25, 2025 | ExCeL London, UK

EP.2250

A descriptive analysis of demographics of the BEGOTTEN prospective cohort study

Part of Topic

Women's health & policies

Demographics of the BEGOTTEN Prospective

Cohort Study

Demographics of the BEGOTTEN Prospective

Cohort Study

Nawami Jasm1, Manlo Kwok2,3, Katie Newman2,3, Shalayna Sakaria1, Emma Bateman1

1. Queen Mary University of London (QMUL), Barts and the London School of Medicine and Dentistry

2. Women’s Health Research Unit, Wolfson Institute of Population Health, QMUL

3. Barts Health NHS Trust, London, UK

Introduction

The BEGOTTEN study[1] is a prospective cohort study across a multi-

ethnic population in the Royal London over 24 months that aims to look

at how fetal growth patterns and maternal blood pressures affect post-

natal outcomes with an emphasis in a multi-ethnic cohort in East

London.

This analysis aims to examine and describe the demographic data

collected from the BEGOTTEN study thus far, providing an insight into

demographic trends within a multi-ethnic population in East London.

Discussion

The descriptive demographic analysis of the BEGOTTEN study highlights the diverse composition of the East London population, with a significant representation from South Asian

backgrounds. The data on maternal age, literacy status, BMI and smoking status provide a crucial context for future analyses of study outcomes.

These findings underline the importance of culturally tailored health interventions to meet the specific needs of this multi-ethnic community. Future research should continue to explore these

demographic patterns to inform targeted healthcare strategies and policy-making.

Copyright © 2015-2026, ePostersLive® SciGen is a registered trademark of SciGen Technologies S.A. Patent pending.

This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.