Background: Gestational Diabetes Mellitus (GDM) prevalence is rising worldwide, but optimal dietary strategies remain unclear. The eMOM pilot RCT compared a plant-protein rich Healthy Nordic Diet (HND) and a moderately carbohydrate restricted diet (MCRD) and their potential effects on time in glucose target range (≤ 7.8 mmol/L, %TIR), and on newborn body composition.
View Article and Find Full Text PDFObjectives: This study aimed to assess the association between periodontal disease and metabolic syndrome (MetS) among women at prior high risk for gestational diabetes with the hypothesis that women with MetS show more signs of periodontal disease than women without MetS.
Material And Methods: A total of 112 women from an original study cohort of 348 women at high risk of gestational diabetes were examined 4-6 years postpartum. Diagnosis of MetS was based on the National Cholesterol Education Program Adult Treatment Panel III diagnostic criteria.
Background: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding modeling the combined effects of diet and exercise for optimal glucose prediction. A notable challenge is the propensity for observational patient datasets from uncontrolled environments to overfit due to skewed feature distributions of target behaviors; for instance, diabetic patients seldom engage in high-intensity exercise post-meal.
View Article and Find Full Text PDFIntroduction: Lifestyle interventions are effective in preventing type 2 diabetes, but genetic background may influence the individual response. In the Finnish gestational diabetes prevention study, RADIEL, lifestyle intervention during pregnancy and first postpartum year was effective in preventing gestational diabetes (GDM) and postpartum glycemic abnormalities only among women at highest genetic risk of type 2 diabetes. This study aimed to assess whether still 5 years postpartum the genetic risk modifies the association between lifestyle and glycemic health.
View Article and Find Full Text PDFBackground: Digitalization with minimal human resources could support self-management among women with gestational diabetes and improve maternal and neonatal outcomes.
Objective: This study aimed to investigate if a periodic mobile application (eMOM) with wearable sensors improves maternal and neonatal outcomes among women with diet-controlled gestational diabetes without additional guidance from healthcare personnel.
Study Design: Women with gestational diabetes were randomly assigned in a 1:1 ratio at 24 to 28 weeks' gestation to the intervention or the control arm.