Gestational diabetes in women with obesity; an analysis of clinical history and simple clinical/anthropometric measures

White, S. L., Pasupathy, D., Begum, S., Sattar, N. , Nelson, S. M. , Seed, P. and Poston, L. (2022) Gestational diabetes in women with obesity; an analysis of clinical history and simple clinical/anthropometric measures. PLoS ONE, 17(12), e0279642. (doi: 10.1371/journal.pone.0279642) (PMID:36584215) (PMCID:PMC9803279)

[img] Text
288835.pdf - Published Version
Available under License Creative Commons Attribution.

535kB

Abstract

Aim: We assessed clinical risk factors, anthropometric measures of adiposity and weight gain to determine associations with development of GDM in a cohort of pregnant women with obesity. Methods: This was a secondary analysis of the UPBEAT trial of a complex lifestyle intervention in pregnant women with obesity (ISRCTN89971375). Clinical risk factors, and measures of adiposity and weight were assessed in the early 2nd trimester (mean 17 +0 weeks), and adiposity and weight repeated in the early 3rd trimester (mean 27 +5 weeks’). Results: Of the 1117 women (median BMI 35.0 kg/m2) with complete data, 25.8% (n = 304) developed GDM (IADPSG criteria, OGTT 24-28weeks). Using multivariable analysis, early clinical risk factors associated with later development of GDM included age (adj OR 1.06 per year; 95% CI 1.04–1.09), previous GDM (3.27; 1.34–7.93) and systolic blood pressure (per 10mmHg, 1.34; 1.18–1.53). Anthropometric measures positively associated with GDM included second trimester (mean 17+0 weeks) subscapular skinfold thickness, (per 5mm, 1.12; 1.05–1.21), and neck circumference (per cm, 1.11; 1.05–1.18). GDM was not associated with gestational weight gain, or changes in skinfolds thicknesses or circumferences between visits. Conclusions: In this cohort of women with obesity, we confirmed clinical risk factors for GDM, (age, systolic blood pressure) previously identified in heterogeneous weight women but add to these indices of adiposity which may provide a discriminatory approach to GDM risk assessment in this group. This study also underscores the need to focus on modifiable factors pre-pregnancy as an opportunity for GDM prevention, as targeting gestational weight gain and adiposity during pregnancy is likely to be less effective.

Item Type:Articles
Additional Information:This study was supported by the National Institute of Health Research (RP-PG-0407-10452), Medical Research Council UK (MR/ L002477/1), Chief Scientist Office, Scottish Government Health Directorates (Edinburgh) (CZB/A/680), Biomedical Research Centre at Guys & St Thomas NHS Foundation Trust & King’s College London and the NIHR Bristol Biomedical Research Centre, Tommy’s Charity, UK (SC039280). SLW was supported by a fellowship from Diabetes UK (14/ 0004849). LP is an Emeritus National Institute for Health Research Senior Investigator (NI-SI-0512-10104).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Nelson, Professor Scott and Sattar, Professor Naveed
Creator Roles:
Sattar, N.Conceptualization, Funding acquisition, Writing – review and editing
Nelson, S. M.Conceptualization, Funding acquisition, Writing – review and editing
Authors: White, S. L., Pasupathy, D., Begum, S., Sattar, N., Nelson, S. M., Seed, P., and Poston, L.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN:1932-6203
ISSN (Online):1932-6203
Copyright Holders:Copyright © 2022 White et al.
First Published:First published in PLoS ONE 17(12): e0279642
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
161372Improving pregnancy outcome in obese womenNaveed SattarNational Institute for Health Research (NIHR)RP-PG-0407-10452Institute of Cardiovascular & Medical Sciences