ReviewCurrent diabetes reports2024
Exploring Technology's Influence on Health Behaviours and Well-being in Type 1 Diabetes: a Review.
Review in Current diabetes reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Caregiver and Patient Experiences With the Diabetes Care Team Impact Utilization of Medical Nutrition Therapy in Pediatric Type 1 Diabetes.The science of diabetes self-management and care · 2026Article
- Comparison of Glucose Management Between Open-Source Loop and Tandem Control-IQ Automated Insulin Delivery Systems in Adults With Type 1 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Automated insulin delivery system use and physical activity levels in adults with type 1 diabetes: A BETTER registry analysis.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Despite lower haemoglobin A1c with second-generation automated insulin delivery systems, mental burden remains high for all adults with type 1 diabetes: A BETTER registry analysis.Diabetes, obesity & metabolism · 2026Article
- Nutrition therapy in the era of automated insulin delivery.Frontiers in endocrinology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewMaintaining positive health behaviours promotes better health outcomes for people with type 1 diabetes (T1D). However, implementing these behaviours may also lead to additional management burdens and challenges. Diabetes technologies, including continuous glucose monitoring systems, automated insulin delivery systems, and digital platforms, are being rapidly developed and widely used to reduce these burdens. Our aim was to review recent evidence to explore the influence of these technologies on health behaviours and well-being among adults with T1D and discuss future directions. RECENT
findingsCurrent evidence, albeit limited, suggests that technologies applied in diabetes self-management education and support (DSME/S), nutrition, physical activity (PA), and psychosocial care areas improved glucose outcomes. They may also increase flexibility in insulin adjustment and eating behaviours, reduce carb counting burden, increase confidence in PA, and reduce mental burden. Technologies have the potential to promote health behaviours changes and well-being for people with T1D. More confirmative studies on their effectiveness and safety are needed to ensure optimal integration in standard care practices.
Indexed as
Identifiers
38294726What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.