Study Objectives: Our objectives were to compare sleep health composite dimensions and chronotype in children and adolescents with and without type 1 diabetes (T1D) and to explore the relationship between sleep and glycemic variability in T1D.
Methods: The study comprised 84 participants with T1D aged between 6 to 18 years, and age and sex matched by controls. The sleep health composite (SHC) was measured using actigraphy, sleep diaries, and self or parental reports. Sleep disturbance was evaluated using the DSM-5 Level 2 Sleep Disorders Scale Short Form. Chronotype was determined using the Children's Chronotype Questionnaire.
Results: The median total SHC score for both the T1D and control groups was 3.0 (3.0-4.0) (p=0.485). Sleep quality was reported as good by 89.3% of participants with T1D and 96.4% of controls (p=0.072). Objective data from actigraphy indicated poor sleep quality in 56% of participants with T1D and 59.5% of controls (p=0.639). Additionally, 88% of participants with T1D and 84.5% of controls had inadequate total age-appropriate sleep duration (p=0.501). Among participants with T1D, those with a stable glycemic variability (coefficient of variation [CV] <%36) had an earlier midpoint sleep (p=0.008).
Conclusions: Our study indicates that there are no significant differences in the SHC and chronotype between children and adolescents with and without T1D. Although most participants reported good sleep quality, objective assessments indicated poor sleep quality. These findings suggest that children and adolescents may overestimate their sleep quality.
Clinical Trial Registration: Sleep patterns and chronotype in children with and without type 1 diabetes clinical Trails.gov identifier (https://www.clinicaltrials.gov), NCT06318611 (Registration Date: March 15, 2024).
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http://dx.doi.org/10.5664/jcsm.11558 | DOI Listing |
J Clin Sleep Med
January 2025
Department of Pediatrics, Division of Pediatric Endocrinology, Koç University School of Medicine, İstanbul, Türkiye.
Study Objectives: Our objectives were to compare sleep health composite dimensions and chronotype in children and adolescents with and without type 1 diabetes (T1D) and to explore the relationship between sleep and glycemic variability in T1D.
Methods: The study comprised 84 participants with T1D aged between 6 to 18 years, and age and sex matched by controls. The sleep health composite (SHC) was measured using actigraphy, sleep diaries, and self or parental reports.
Diabetes Technol Ther
January 2025
Department of Paediatric Diabetes and Endocrinology, John Hunter Children's Hospital, New Lambton Heights, New South Wales, Australia.
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.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
Background: Highly specific ATN plasma biomarker assays for neurodegenerative diseases have been developed, but their associations with cognition vary in different populations. Kidney disease, common in diabetes, may decrease the predictive precision of those biomarkers. The aim of this study was to characterize for the first time the relationships between plasma ATN biomarkers and cognitive function in adults with T1D.
View Article and Find Full Text PDFIntroduction: Celiac Disease (CD)-related antibody positivity in children with Type 1 Diabetes (T1D) may fluctuate and become negative spontaneously. There are uncertainties about the optimal tTG-IgA titre and timing of endoscopy in the diagnosis of CD, and this study aimed to contribute to the debate on the tTGA-IgA threshold titre for endoscopy decisions in children with T1D.
Methods: The data of 991 children with T1D who had undergone serologic evaluation for CD were analysed retrospectively.
Mol Med
January 2025
Physiology and Pharmacology, Western University, London, ON, Canada, N6A 3K7.
Background: In children with type 1 diabetes (T1D), diabetic ketoacidosis (DKA) triggers a significant inflammatory response; however, the specific effector proteins and signaling pathways involved remain largely unexplored. This pediatric case-control study utilized plasma proteomics to explore protein alterations associated with severe DKA and to identify signaling pathways that associate with clinical variables.
Methods: We conducted a proteome analysis of plasma samples from 17 matched pairs of pediatric patients with T1D; one cohort with severe DKA and another with insulin-controlled diabetes.
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