Publications by authors named "RIDDELL M"

To compare glycemic outcomes during and following moderate-intensity exercise (MIE), high-intensity interval exercise (HIE), and resistance exercise (RE) in adolescents with type 1 diabetes (T1D) using a hybrid closed-loop (HCL) insulin pump while measuring additional physiological signals associated with activity. Twenty-eight adolescents (average age 16.3 ± 2.

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Aims: To estimate physical activity (activity) duration required to lower glucose from above target range (>180 mg/dL) to within target range (TIR: 70-180 mg/dL) in individuals with type 1 diabetes (T1D).

Methods: Continuous glucose monitoring and activity data were collected from 404 adults (28-day observation) and 149 adolescents (10-day observation) with T1D. Activities (N = 1902) with a starting glucose between 181-300 mg/dL, duration 10-60 min, and no reported meals during activity were included in the analysis.

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Background: Non-laboratory-based cardiovascular risk prediction tools are feasible alternatives to laboratory-based tools in low- and middle-income countries. However, their effectiveness compared to their laboratory-based counterparts has not been adequately tested.

Aim: We compared estimates from laboratory-based and non-laboratory-based risk prediction tools in a low- and middle-income country setting.

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Regular physical activity and exercise (PA) are cornerstones of diabetes care for individuals with type 1 diabetes. In recent years, the availability of automated insulin delivery (AID) systems has improved the ability of people with type 1 diabetes to achieve the recommended glucose target ranges. PA provides additional health benefits but can cause glucose fluctuations, which challenges current AID systems.

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Regular physical activity and exercise (PA) are cornerstones of diabetes care for individuals with type 1 diabetes. In recent years, the availability of automated insulin delivery (AID) systems has improved the ability of people with type 1 diabetes to achieve the recommended glucose target ranges. PA provide additional health benefits but can cause glucose fluctuations, which challenges current AID systems.

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Background: We explore the association between hypoglycaemia fear (FH) and glycaemia during and after exercise sessions in a large sample of physically active youth with type 1 diabetes (T1D).

Methods: We used data from the Type 1 Diabetes Exercise Initiative Paediatric (T1DEXIP) Study. Youth self-reported on FH using the Hypoglycaemia Fear Survey-Child (HFS-C).

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Article Synopsis
  • The study aimed to investigate the relationships between diabetes, mental health conditions, asthma, and their impact on gestational hypertension (GH) and preeclampsia (PE) in pregnant women from Alberta, Canada.
  • A total of 18,381 women were analyzed, revealing a direct link between anxiety during pregnancy and GH, as well as the influence of pre-pregnancy diabetes and asthma on PE.
  • The results emphasize the importance of considering mental health and chronic conditions like diabetes and asthma when assessing risks for GH and PE during pregnancy.
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Article Synopsis
  • This study explored glucose level differences during and after exercise between men and women with type 1 diabetes over four weeks in a prospective observational design.
  • It found that women had higher glucose levels than men at the start of both study and personal exercise sessions and had smaller declines in glucose during personal exercises.
  • Overall, while female participants showed higher pre-exercise glucose levels and less decline during exercise, their food, exercise, and insulin habits were similar to those of male participants.
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Background: Whole food plant-based diet (WFPBD), minimally processed foods with limited consumption of animal products, is associated with improved health outcomes. The benefits of WFPBD are underexplored in individuals with type 1 diabetes (T1D). The primary objective of this analysis is to evaluate the association between WFPBD on glycemia in individuals with T1D.

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Aims: Position statement guidelines should help people with type 1 diabetes (T1D) improve glucose outcomes during exercise.

Methods: In a 4-week observational study, continuous glucose, insulin, and nutrient data were collected from 561 adults with T1D. Glucose outcomes were calculated during exercise, post-exercise, and overnight, and were compared for sessions when participants used versus did not use exercise guidelines for open-loop (OL) and automated insulin delivery (AID) therapy.

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Challenges and fears related to managing glucose levels around planned and spontaneous exercise affect outcomes and quality of life in people living with type 1 diabetes. Advances in technology, including continuous glucose monitoring, open-loop insulin pump therapy and hybrid closed-loop (HCL) systems for exercise management in type 1 diabetes, address some of these challenges. In this review, three research or clinical experts, each living with type 1 diabetes, leverage published literature and clinical and personal experiences to translate research findings into simplified, patient-centred strategies.

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Automated insulin delivery (AID) systems enhance glucose management by lowering mean glucose level, reducing hyperglycemia, and minimizing hypoglycemia. One feature of most AID systems is that they allow the user to view "insulin on board" (IOB) to help confirm a recent bolus and limit insulin stacking. This metric, along with viewing glucose concentrations from a continuous glucose monitoring system, helps the user understand bolus insulin action and the future "threat" of hypoglycemia.

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Curable sexually transmitted infections (STIs) are neglected in public health policy, services and society at large. Effective interventions are available for some STI but seem not to be prioritised at global, regional or local levels. Zambia and Papua New Guinea (PNG) have a high burden of STIs among pregnant women but little is known about the prioritisation of STI treatment and care among this group.

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The self-collection of vaginal swabs and point-of-care testing and treatment of sexually transmitted infections (STIs) is reported from several low-and middle-income countries. However, the reporting on women's experiences of self-collection and same-day testing and treatment of STIs is less well described. In this paper, we present the acceptability of self-collected vaginal swabs and point-of-care testing and treatment among pregnant women enrolled in a clinical trial (Women and Newborn Trial of Antenatal Intervention and Management - WANTAIM) in Papua New Guinea.

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Objectives: Evidence suggests that glucose levels in menstruating females with type 1 diabetes change throughout the menstrual cycle, reaching a peak during the luteal phase. The Type 1 Diabetes Exercise Initiative (T1DEXI) study provided the opportunity to assess glycemic metrics between early and late phases of the menstrual cycle, and whether differences could be explained by exercise, insulin, and carbohydrate intake.

Methods: One hundred seventy-nine women were included in our analysis.

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Background: Regular physical activity and exercise are fundamental components of a healthy lifestyle for youth living with type 1 diabetes (T1D). Yet, few youth living with T1D achieve the daily minimum recommended levels of physical activity. For all youth, regardless of their disease status, minutes of physical activity compete with other daily activities, including digital gaming.

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Kagami-Ogata syndrome (KOS) is a clinically recognizable syndrome in the neonatal period. It is characterized by specific skeletal anomalies and facial dysmorphisms. It is typically caused by paternal uniparental disomy of chromosome 14, while epimutations and microdeletions are less commonly reported causes.

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Introduction: Medical careers increase infertility risks and pregnancy complications. Residents often postpone pregnancy, contributing to these risks. Limited data exist regarding residents' family planning concerns.

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To predict hypoglycemia and hyperglycemia risk during and after activity for adolescents with type 1 diabetes (T1D) using real-world data from the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) study. Adolescents with T1D ( = 225; [mean ± SD] age = 14 ± 2 years; HbA1c = 7.1 ± 1.

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Background: The amount and type of food consumed impacts the glycemic response and insulin needs of people with type 1 diabetes mellitus (T1DM). Daily variability in consumption, reflected in diet quality, may acutely impact glycemic levels and insulin needs.

Objective: Type 1 Diabetes Exercise Initiative (T1DEXI) data were examined to evaluate the impact of daily diet quality on near-term glycemic control and interaction with exercise.

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Introduction: We aimed to investigate the neuromuscular contributions to enhanced fatigue resistance with carbohydrate (CHO) ingestion and to identify whether fatigue is associated with changes in interstitial glucose levels assessed using a continuous glucose monitor (CGM).

Methods: Twelve healthy participants (six males, six females) performed isokinetic single-leg knee extensions (90°·s -1 ) at 20% of the maximal voluntary contraction (MVC) torque until MVC torque reached 60% of its initial value (i.e.

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Elevated levels of somatostatin blunt glucagon counterregulation during hypoglycemia in type 1 diabetes (T1D) and this can be improved using somatostatin receptor 2 (SSTR2) antagonists. Hypoglycemia also occurs in late-stage type 2 diabetes (T2D), particularly when insulin therapy is initiated, but the utility of SSTR2 antagonists in ameliorating hypoglycemia in this disease state is unknown. We examined the efficacy of a single-dose of SSTR2 antagonists in a rodent model of T2D.

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Aims/hypothesis: Adults with type 1 diabetes should perform daily physical activity to help maintain health and fitness, but the influence of daily step counts on continuous glucose monitoring (CGM) metrics are unclear. This analysis used the Type 1 Diabetes Exercise Initiative (T1DEXI) dataset to investigate the effect of daily step count on CGM-based metrics.

Methods: In a 4 week free-living observational study of adults with type 1 diabetes, with available CGM and step count data, we categorised participants into three groups-below (<7000), meeting (7000-10,000) or exceeding (>10,000) the daily step count goal-to determine if step count category influenced CGM metrics, including per cent time in range (TIR: 3.

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