Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Observational assessments of the relationship of dietary and pharmacological treatment on continuous measures of dysglycemia over 24 hours in women with gestational diabetes

Dingena, Cassy F, Holmes, Mel, Campbell, Matthew, Cade, Janet E, Scott, Eleanor M and Zulyniak, MA (2023) Observational assessments of the relationship of dietary and pharmacological treatment on continuous measures of dysglycemia over 24 hours in women with gestational diabetes. Observational assessments of the relationship of dietary and pharmacological treatment on continuous measures of dysglycemia over 24 hours in women with gestational diabetes, 14. pp. 1-10. ISSN 1945-7170

Item Type: Article

Abstract

Objectives: Studies that use continuous glucose monitoring (CGM) to monitor women with gestational diabetes (GDM), highlight the importance of managing dysglycemia over a 24-hour period. However, the effect of current treatment methods on dysglycemia over 24-hrs are currently unknown. This study aimed to characterise CGM metrics over 24-hrs in women with GDM and the moderating effect of treatment strategy.

Methods: Retrospective analysis of CGM data from 128 women with GDM in antenatal diabetes clinics. CGM was measured for 7-days between 30-32 weeks gestation. Non-parametric tests were used to evaluate differences of CGM between periods of day (morning, afternoon, evening, and overnight) and between treatment methods (i.e., diet alone or diet+metformin). Exploratory analysis in a subgroup of 34 of participants was performed to investigate the association between self-reported macronutrient intake and glycaemic control.

Results: Glucose levels significantly differed during the day (i.e., morning to evening; P<0.001) and were significantly higher (i.e., mean blood glucose and area under the curve [AUC]) and more variable (i.e., SD and CV) than overnight glucose levels. Morning showed the highest amount of variability (CV; 8.4% vs 6.5%, P<0.001 and SD; 0.49 mmol/L vs 0.38 mmol/L, P<0.001). When comparing treatment methods, mean glucose (6.09 vs 5.65 mmol/L; P<0.001) and AUC (8760.8 vs 8115.1 mmol/L.hr; P<0.001) were significantly higher in diet+metformin compared to diet alone. Finally, the exploratory analysis revealed a favourable association between higher protein intake (+1SD or +92 kcal/day) and lower mean glucose (-0.91 mmol/L p, P=0.02) and total AUC (1209.6 mmol/L.h, P=0.021).

Conclusions: Glycemia varies considerably across a day, with morning glycemia demonstrating greatest variability. Additionally, our work supports that individuals assigned to diet+metformin have greater difficulty managing glycemia and results suggest that increased dietary protein may assist with management of dysglycemia. Future work is needed to investigate the benefit of increased protein intake on management of dysglycemia.

[img]
Preview
PDF (Accepted Manuscript)
Manuscript_clean.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (489kB) | Preview

More Information

Related URLs:
Depositing User: Matthew Campbell

Identifiers

Item ID: 15703
Identification Number: https://doi.org/10.3389/fendo.2023.1065985
ISSN: 1945-7170
URI: http://sure.sunderland.ac.uk/id/eprint/15703
Official URL: https://www.frontiersin.org/articles/10.3389/fendo...

Users with ORCIDS

ORCID for Cassy F Dingena: ORCID iD orcid.org/0000-0001-8091-124X
ORCID for Matthew Campbell: ORCID iD orcid.org/0000-0001-5883-5041

Catalogue record

Date Deposited: 20 Feb 2023 14:14
Last Modified: 20 Feb 2023 14:14

Contributors

Author: Cassy F Dingena ORCID iD
Author: Matthew Campbell ORCID iD
Author: Mel Holmes
Author: Janet E Cade
Author: Eleanor M Scott
Author: MA Zulyniak
Author: [error in script] [error in script]
Author: [error in script] [error in script]
Author: [error in script] [error in script]
Author: [error in script] [error in script]
Author: [error in script] [error in script]
Author: [error in script] [error in script]

University Divisions

Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences

Subjects

Sciences > Biomedical Sciences
Sciences > Health Sciences

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)