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Developmental challenges of adolescence, such as puberty and social pressures, exacerbate the complexity of managing type 1 diabetes (T1D) as they transition from pediatric to adult care. However, there is a paucity of codesigned, evidence-based diabetes education and support programs and services to guide adolescents through this transition. This study aimed to explore the experiences, perspectives, facilitators, and barriers faced by adolescents with T1D in diabetes education and program services and to identify feasible approaches to support them as they transition from pediatric to adult care. Semistructured interviews were conducted with 13 adolescents aged 13-19 years with T1D. Thematic analysis was used to understand participants' past experiences, facilitators, barriers, and preferences regarding diabetes education programs and services. Participants highly valued the opportunity to meet with peers living with T1D and the emotional support from those interactions. Participants also highlighted the need for age-appropriate content and interactive learning experiences. Suggested gamification features were well-received, with participants emphasizing the importance of interactivity. While there was not a strong preference between virtual or in-person game formats, it was suggested that online options offered flexibility and inclusiveness regardless of physical abilities. Participants were not as enthusiastic for a one-on-one live chat compared to an online community chat, again, for the opportunity for peer support. The study highlights the value that adolescents with T1D place on peer support that arises from opportunities to meet others through in-person events. It was evident that codesigning diabetes education programs and services with adolescents with T1D is key to develop tailored offerings for this population.
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http://dx.doi.org/10.1155/pedi/1843544 | DOI Listing |
BJOG
September 2025
Department of Obstetrics and Gynaecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Objective: To estimate the effect on healthcare resource use after introducing the World Health Organization diagnostic criteria (WHO-2013) for gestational diabetes mellitus (GDM) compared to former criteria in Sweden (SWE-GDM).
Design: A cost-analysis alongside the Changing Diagnostic Criteria for Gestational Diabetes (CDC4G) randomised controlled trial.
Setting: Sweden, with risk-factor based screening for GDM.
Nutr Rev
September 2025
Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90035-003, Brazil.
Context: The pillars of diabetes treatment include pharmacotherapy, healthy eating, physical activity, self-monitoring, education, mental health support, and smoking cessation. Interventions based on the Transtheoretical Model of Change, which consider a patient's readiness to behavioral change, may be effective for promoting sustainable self-care. However, the impact of such interventions on diabetes management requires systematic evaluation.
View Article and Find Full Text PDFExp Eye Res
September 2025
Protein Chemistry Laboratory (PCL), Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. Electronic address:
Diabetes mellitus (DM), a prevalent metabolic disorder characterized by chronic hyperglycemia, disrupts systemic homeostasis and affects multiple tissues, including the eye lens, where cataract is a common diabetic complication. Crystallin proteins constitute the majority of the proteins in the eye lens. One of their characteristics is a long lifespan, which makes them susceptible to the accumulation of physical and chemical damage, particularly in the context of diabetes.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
Key Laboratory of Social Computing and Cognitive Intelligence (Ministry of Education), Dalian University of Technology, Dalian, 116024, China; School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China. Electronic address:
Background And Objective: Few-shot learning has emerged as a key technological solution to address challenges such as limited data and the difficulty of acquiring annotations in medical image classification. However, relying solely on a single image modality is insufficient to capture conceptual categories. Therefore, medical image classification requires a comprehensive approach to capture conceptual category information that aids in the interpretation of image content.
View Article and Find Full Text PDFPLoS One
September 2025
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Background: The prevalence of Metabolic Syndrome (MetS) increases with aging, significantly contributing to the rising burden of non-communicable diseases (NCDs). This study aimed to investigate over-time changes in the prevalence of MetS and its components among the elderly population of Iran.
Methods: We analyzed data from the 2016 and 2021 national STEPwise approach to non-communicable disease risk factor Surveillance (STEPS) for participants aged ≥65 who completed all three survey steps (questionnaire-based assessments, physical measurements, and laboratory tests) with no missing data on MetS components.