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A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications and future directions

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.

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review

Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness of digital health interventions in improving mental health outcomes among adults with diabetes, as well as assess the methodological quality of relevant studies and provide a commentary on research gaps and future directions.

Diabetes

Diabetes is the name for a number of different metabolic disorders in which the body's healthy levels of blood sugar (glucose) can't be maintained.Diabetes can have a significant impact on quality of life should complications develop. Diabetes can affect the individual's entire body.

Contributions of digital technologies for resilience capacity in a type 1 diabetes transition clinic: A qualitative study

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.

Development of a Novel Mobile Health App to Empower Young People With Type 1 Diabetes to Exercise Safely: Co-Design Approach

Blood glucose management around exercise is challenging for youth with type 1 diabetes (T1D). Previous research has indicated interventions including decision-support aids to better support youth to effectively contextualize blood glucose results and take appropriate action to optimize glucose levels during and after exercise. Mobile health (mHealth) apps help deliver health behavior interventions to youth with T1D, given the use of technology for glucose monitoring, insulin dosing, and carbohydrate counting.

Environmental Determinants of Islet Autoimmunity (ENDIA) longitudinal prospective pregnancy to childhood cohort study of Australian children at risk of type 1 diabetes: parental demographics and birth information

The Environmental Determinants of Islet Autoimmunity Study is an ongoing Australian prospective cohort study investigating how modifiable prenatal and early-life exposures drive the development of islet autoimmunity and type 1 diabetes in children. In this profile, we describe the cohort's parental demographics, maternal and neonatal outcomes and human leukocyte antigen genotypes. 

Behavior Change Techniques Involved in Physical Activity Interventions for Children with Chronic Conditions: A Systematic Review

Behavior change techniques (BCTs) have been extensively used in physical activity interventions for children, however, no systematic reviews have synthesized their effects.

Development of a Model of Care resource for FASD in the justice system

This article describes the development of a Model of Care resource to support youth involved with the justice system where a neurodevelopmental disability such as Fetal Alcohol Spectrum Disorder is suspected. Service staff within the Youth Justice sector were engaged in an iterative process of resource development over a 9-month period.

Changes in weight status of caregivers of children and adolescents enrolled in a community-based healthy lifestyle programme: Five-year follow-up

Whānau Pakari is a family-centred healthy lifestyle programme for children/adolescents with overweight/obesity in New Zealand. This secondary analysis from our randomised trial within the clinical service assessed 5-year BMI changes in accompanying caregivers. 

Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes

Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.