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We aimed to assess perceived stress and influencing factors in mothers with children at risk of type 1 diabetes and coeliac disease who did, or did not, develop islet autoantibodies or coeliac autoantibodies by 4 years of age.
To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.
Type 1 Diabetes (T1D) is a 'family illness'; diagnoses and management can be perceived as invasive or traumatic. Caregivers bear the brunt of the diagnostic shock, influencing their child's experience. Children and adolescents may grapple with the psychological effects of past/ongoing medical trauma. Additionally, adolescents may struggle with their mental health as they navigate tensions between caregiver involvement and their developmental need for autonomy.
Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model.
This study evaluated the association between insulin regimen, hospitalization for acute diabetes complications, and related health care costs in children with type 1 diabetes (T1D). Hospital admissions for diabetic ketoacidosis or hypoglycemia between January 5, 2022, and April 30, 2024, were analyzed in Western Australian children with T1D. Admissions due to newly diagnosed T1D were excluded. Incidence rate ratios were calculated using generalized estimating equations, adjusted for age, diabetes duration, and socioeconomic status.
Globally, nearly 9 million people are living with type 1 diabetes (T1D). Although the incidence of T1D is not affected by socioeconomic status, the development of complications and limited access to modern therapy is overrepresented in vulnerable populations. Diabetes technology, specifically continuous glucose monitoring and automated insulin delivery systems, are considered the gold standard for management of T1D, yet access to these technologies varies widely across countries and regions, and varies widely even within high-income countries.
Little is known about how sun exposure may affect the maternal skin barrier during pregnancy when many hormonal and physiological changes occur. In this longitudinal observational study, 50 pregnant women were recruited at 18-24 weeks' gestation, 25 in summer-autumn, and 25 in winter-spring. At three time points in pregnancy at 18-24, 28-30, and 36-38 weeks' gestation, participants completed a validated sun exposure questionnaire and had skin permeability and surface pH measured on the volar forearm.
Understanding the biological mechanisms behind multimorbidity patterns in adolescence is important as they may act as intermediary risk factor for long-term health. We aimed to explore relationship between prenatal exposures and adolescent's psycho-cardiometabolic intermediary traits mediated through epigenetic biomarkers, using structural equation modeling (SEM).
A type 1 diabetes (T1D) transition clinic in Sydney, Australia, provides age specific care for young adults (aged 16-25 years) and for adults (aged 21 years and above), and has reported improved clinical outcomes post transition to adult care over a 21-year period. This study investigated the contribution of digital technology to long-term resilient capacity of the clinic.
Humans are commonly exposed to plastic through their dietary intake and food consumption patterns. Plastic-associated chemicals (PAC), such as bisphenols and phthalates, are recognized as endocrine-disrupting and are associated with increased risk of cardiovascular disease and metabolic syndrome. However, accurate methods to assess dietary exposure to plastic products and PAC are inadequate, limiting interrogation of health impacts.