Sexual health is an integral component of overall well-being and quality of life, including for adults living with chronic diseases such as diabetes. Despite its importance, sexual health is often overlooked in clinical practice. Health care professionals rarely initiate conversations about sexual functioning due to limited training, lack of tools, or concern about patient discomfort. At the same time, many patients with diabetes report fear of hypoglycemia during or after sexual activity, and partners frequently share similar concerns. These fears may lead to reduced sexual activity and diminished quality of life.
Hypoglycemia remains one of the most common and clinically significant complications of insulin therapy. Glucose levels below 70 mg/dL require prompt intake of carbohydrates or adjustment of glucose-lowering treatment to prevent further decline. Physical exertion- including sexual activity-may lead to early or delayed hypoglycemia, occurring even several hours after the activity. On the other hand, emotional excitement during sexual activity may trigger counter-regulatory hormones such as adrenaline or cortisol, potentially causing hyperglycemia. Despite these observations, no systematic study has evaluated the relationship between sexual activity and glucose fluctuations in adults with diabetes. Historically, such research was hindered by the intimate nature of the subject and the absence of remote monitoring tools.
The introduction of continuous glucose monitoring (CGM) systems, together with cloud-based platforms such as LibreView and Dexcom Clarity, enables the remote and secure assessment of glucose trends without requiring direct discussion of intimate details. This study leverages these technologies to evaluate whether sexual activity increases the risk of hypoglycemia in adults with type 1 or type 2 diabetes treated with insulin.
Each participant will be observed for 3 months. Participants will mark the beginning of sexual activity within their CGM application using a neutral icon (e.g., a heart symbol). Glucose trends during and for up to 6 hours following the activity will be analyzed and compared to glucose profiles from days without sexual activity. Health care providers will also complete a brief online form with basic clinical information about each participant, including age, diabetes type, disease duration, treatment regimen, and CGM system used.
The study aims to enroll 100 adults. This pragmatic sample size reflects the exploratory nature of the project and the absence of prior research in this area. Based on general population estimates, participants are expected to report an average of approximately 10 episodes of sexual activity over the 3-month observation period. The primary endpoint is the proportion of sexual activity episodes associated with hypoglycemia, defined as glucose levels below 70 mg/dL occurring during or after the activity.
All data will be anonymized. Each patient will receive a unique study code that does not contain personal identifiers. Only the principal investigator and scientific supervisor will have access to the code key. Glucose data and sexual activity markers will be exported from CGM applications in encrypted form and analyzed exclusively in de-identified datasets. After completion of the study and statistical analysis, all data will be securely deleted according to institutional procedures.
The results of this study may provide the first empirical evidence on the relationship between sexual activity and hypoglycemia risk in individuals using insulin therapy. If a relationship is confirmed, the findings may guide future recommendations to improve safety around sexual activity. If no association is found, the results may help reduce unnecessary anxiety among patients and improve open communication in clinical practice.
