ArticleJournal of diabetes science and technology2023
Variability of Glycemic Outcomes and Insulin Requirements Throughout the Menstrual Cycle: A Qualitative Study on Women With Type 1 Diabetes Using an Open-Source Automated Insulin Delivery System.
Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Modeling ovarian hormone effects on glucose-insulin control in type 1 diabetes.Bioengineering & translational medicine · 2026Review
- Women living with diabetes: Overlooked and under-recognised, the psychosocial impact.Diabetic medicine : a journal of the British Diabetic Association · 2026Review
- Effects of Menstrual Cycle on Insulin Sensitivity in Type 1 Diabetes: An Observational Study of Individuals Using an Automated Insulin Delivery System.Diabetes care · 2026Observational
- Metabolic Responses to Exercise and Nutritional Strategies in Type 1 Diabetes Using Automated Insulin Delivery Systems: A Narrative Review.Metabolites · 2026Review
- Explainable machine learning model for in-hospital hypoglycemia risk in patients with latent autoimmune diabetes in adults.Frontiers in immunology · 2026Article
- Sex differences in endocrine, metabolic and psychological disturbance in obese patients with OSA.Biology of sex differences · 2025Article
- Type 1 Diabetes Management in the Female Population: Evaluation of the Impact of Sex on Glycemic Control and the Perceived Performance of Diabetes Technology Across the Menstrual Cycle.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Effectiveness of open-source Android artificial pancreas systems for glucose management in patients with type 1 diabetes: a real-world study.Therapeutic advances in endocrinology and metabolism · 2025Article
- Automated Insulin Delivery Systems in Pediatric Type 1 Diabetes: A Narrative Review.Journal of diabetes science and technology · 2024Review
- Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems.Nutrients · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThe impact of hormone dynamics throughout the menstrual cycle on insulin sensitivity represents a currently under-researched area. Despite therapeutic and technological advances, self-managing insulin therapy remains challenging for women with type 1 diabetes (T1D).
methodsTo investigate perceived changes in glycemic levels and insulin requirements throughout the menstrual cycle and different phases of life, we performed semi-structured interviews with 12 women with T1D who are using personalized open-source automated insulin delivery (AID) systems. Transcripts were analyzed using thematic analysis with an inductive, hypothesis-generating approach.
resultsParticipants reported significant differences between the follicular phase, ovulation, and luteal phase of the menstrual cycle and also during puberty, pregnancy, and menopause. All participants reported increased comfort and safety since using AID, but were still required to manually adjust their therapy according to their cycle. A lack of information and awareness and limited guidance by health care providers were frequently mentioned. Although individual adjustment strategies exist, achieving optimum outcomes was still perceived as challenging.
conclusionsThis study highlights that scientific evidence, therapeutic options, and professional guidance on female health-related aspects in T1D are insufficient to date. Further efforts are required to better inform people with T1D, as well as for health care professionals, researchers, medical device manufacturers, and regulatory bodies to better address female health needs in therapeutic advances.
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What 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.