Publications by authors named "Gilberte Martine-Edith"
Article Synopsis
- The Hypo-METRICS study explored how continuous glucose monitoring (CGM) detects hypoglycemia and its relevance for people with type 1 and insulin-treated type 2 diabetes.
- Researchers tracked 276 type 1 and 321 type 2 diabetes participants using CGM for 10 weeks, correlating sensor-detected hypoglycemia (SDH) with person-reported hypoglycemia (PRH).
- Results indicated that a significant portion of CGM-detected hypoglycemia is asymptomatic, with 65% of low readings (under 70 mg/dL) not accompanied by symptoms and many reported symptoms occurring at higher glucose levels (over 70 mg/dL).
Article Synopsis
- The study aimed to explore how experiencing hypoglycemia affects daily life in adults with type 1 and insulin-treated type 2 diabetes using the Hypo-METRICS app over 70 days.
- Participants reported their hypoglycemia experiences through daily check-ins while wearing a glucose sensor that provided data without their knowledge.
- Results indicated that self-reported hypoglycemia negatively impacted energy, mood, cognitive function, and sleep quality, while sensor-detected hypoglycemia alone did not show these associations.
Article Synopsis
- The Hypo-METRICS app was developed to gather real-time data on the physical, psychological, and social effects of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes, overcoming limitations of traditional retrospective reporting methods.
- Participants in the study wore continuous glucose monitors and provided daily assessments of their hypoglycaemia experiences and daily functioning over a 10-week period, achieving a high overall app completion rate of 91%.
- Factors such as older age, routine continuous glucose monitoring use, and greater time spent below critical glucose levels were positively linked to higher app engagement, suggesting the app is a valuable tool for diabetes research.
Article Synopsis
- - The study explored how awareness of hypoglycemia affects the real-time symptoms reported by adults with insulin-treated type 1 (T1D) and type 2 diabetes (T2D) using a smartphone app called Hypo-METRICS.
- - Among the 531 participants, those with impaired awareness of hypoglycemia (IAH) were less likely to report certain symptoms compared to those with normal awareness, especially at lower glucose levels.
- - The findings suggest that the Hypo-METRICS app effectively captures differences in hypoglycemia symptoms based on awareness levels, making it a potentially valuable tool for both research and clinical practices.
Article Synopsis
- The study investigates whether the traditional measurement of nocturnal hypoglycemia (00:00-06:00) accurately captures hypoglycemic episodes in adults with type 1 (T1D) or insulin-treated type 2 diabetes (T2D) by comparing it to actual sleep patterns.
- Participants used continuous glucose monitors and activity trackers to record episodes of hypoglycemia over 10 weeks, revealing that rates of hypoglycemia during actual sleep were higher than those measured during the standard clock-based hours.
- The findings suggest that using a fixed overnight time frame may underestimate the incidence of hypoglycemia while asleep, and future research should incorporate sleep tracking technology for more accurate assessments.
Objectives: To examine the relationships between gestational diabetes mellitus (GDM) treatment and neonatal anthropometry.
Methods: Covariate-adjusted multivariable linear regression analyses were used in 9907 offspring of the Born in Bradford cohort. GDM treatment type (lifestyle changes advice only, lifestyle changes and insulin or lifestyle changes and metformin) was the exposure, offspring born to mothers without GDM the control, and birth weight, head, mid-arm and abdominal circumference, and subscapular and triceps skinfold thickness the outcomes.
Article Synopsis
- The Hypo-METRICS app was created to study how hypoglycemia affects daily life for adults with type 1 or insulin-treated type 2 diabetes, utilizing real-time assessments to reduce recall bias.
- The study aimed to evaluate the app's content validity, usability over the 70-day period, and gather feedback for future improvements.
- Interviews and surveys from 18 participants revealed that the app was generally well-received as relevant and easy to use, but they suggested enhancing engagement through better instructions and more contextual examples.
Aim: To investigate the associations between gestational diabetes mellitus (GDM) metformin or insulin treatment and offspring growth trajectories from 0 to 60 months.
Methods: Participants were from the Born in Bradford birth cohort study. Using covariate-adjusted multilevel linear spline models (4 splines: 0-1.
Article Synopsis
- The study evaluated the Hypo-METRICS app, designed to measure the effects of hypoglycemia on daily life in individuals with insulin-treated diabetes.
- Over 10 weeks, 100 participants completed daily check-ins to report on various aspects of their daily functioning, including mood and cognition.
- Results showed high completion rates and strong psychometric properties, confirming that the app is a reliable and valid tool for understanding the impact of hypoglycemia on patients' lives.
Objectives: To identify the maternal characteristics associated with pharmaceutical treatment of gestational diabetes mellitus (GDM).
Design: Prospective birth cohort study.
Setting: Bradford, UK.