Universal versus selective screening for gestational diabetes mellitus among antenatal clinic attendees in Abakaliki: using the one-step 75 gram oral glucose tolerance test

To compare universal screening with selective risk factor based screening for GDM, using the one-step 75 g oral glucose tolerance test (OGTT). A cross-sectional, comparison between universal and selective risk factor based screening for GDM, among 400 antenatal care clients at Alex-Ekwueme Federal U...

Full description

Saved in:
Bibliographic Details
Published in:BMC pregnancy and childbirth 2021-10, Vol.21 (1), p.735-735, Article 735
Main Authors: Nwali, Silas Alegu, Onoh, Robinson Chukwudi, Dimejesi, Ikechukwu Bo, Obi, Vitus Okwuchukwu, Jombo, Sunday Emmanuel, Edenya, Oghenevwogaga Obukohwo
Format: Article
Language:English
Subjects:
Adult
Age
Body mass index
Cross-Sectional Studies
Diabetes, Gestational - diagnosis
Fasting
Female
Gestational diabetes
Gestational diabetes mellitus
Glucose
Glucose Tolerance Test
Humans
Hyperglycemia
Hyperglycemia - diagnosis
Hypertension
Mass Screening - methods
Middle Aged
Mortality
Nigeria - epidemiology
One-step
Oral glucose tolerance test
Patients
Pregnancy
Prenatal Care
Prevalence
Risk Factors
Selective screening
Sensitivity and Specificity
Universal screening
Womens health
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To compare universal screening with selective risk factor based screening for GDM, using the one-step 75 g oral glucose tolerance test (OGTT). A cross-sectional, comparison between universal and selective risk factor based screening for GDM, among 400 antenatal care clients at Alex-Ekwueme Federal University Teaching Hospital Abakaliki (AE-FUTHA). All the participants had 75 g OGTT at 24-28 weeks of gestation and risk factor screening for GDM. All 400 participants formed the universal group while participants with one or more of the considered risk factors formed the selective risk factor group. Data were analyzed using IBM SPSS version 20. Statistical comparison was done using t- test for continuous variables. Logistics regression was used to determine the level of associations of the independent predictors for hyperglycemia. Level of significance was set at P 
ISSN:1471-2393
1471-2393
DOI:10.1186/s12884-021-04168-8