New app gives personalized exercise tips for type 1 diabetes

NCT ID NCT06098729

Completed Symptom relief Sponsor: Yale University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 26, 2026 · Updated 1 time

Summary

This study tested a mobile app that gives personalized encouragement and health insights based on blood sugar, exercise, mood, and sleep patterns. The goal was to help 24 middle-aged adults with type 1 diabetes or similar conditions exercise more often and confidently. The app aims to make it easier to stay active despite the challenges of managing diabetes.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: mobile application delivering personalized encouragement and data-driven health insights
What this could lead to: If it works, this could help people with type 1 diabetes exercise more often and with greater confidence, improving their overall health.
What could go wrong: This is a small feasibility study with only 24 participants, so results may not apply to everyone. The app's accuracy in predicting exercise lapses is still modest (target 80%).

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

latent autoimmune diabetes in adults pancreatitis type 1 diabetes mellitus

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

LATENT AUTOIMMUNE DIABETES IN ADULTS PANCREATITIS TYPE 1 DIABETES

Contacts and locations

Locations

Yale School of Medicine

New Haven, Connecticut, 06510, United States

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