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ACTIVE NOT RECRUITING
NCT07286019
NA

Effects of Long Duration Cycling in People With Type 1 Diabetes

Sponsor: Universitat de Girona

View on ClinicalTrials.gov

Summary

The goal of this interventional study is to build a high quality, real world multimodal dataset that combines continuous glucose monitoring (CGM), wearable and fitness data, performance metrics, and saliva and urine omics collected during a prolonged, moderate intensity outdoor gravel-cycling session in adults with type 1 diabetes (T1D). The main questions it aims to answer are: * Can we collect and synchronize comprehensive CGM, physiological, performance, and omics data around a single cycling session to enable further artificial intelligence (AI) model development? * What molecular changes in saliva and urine occur during exercise, and how do they relate to glycemic outcomes? Participants will: * Complete a supervised \~75 km gravel-cycling route at their own pace under real-world conditions, without protocolized therapy adjustments. * Wear a Dexcom G7 starting \~4 days before the ride and continue through the sensor lifespan to capture CGM data. * Provide saliva and urine immediately before and after the ride for epigenomic and proteomic analyses. This study will generate an integrated resource that supports the development and validation of AI models for predicting glucose responses to exercise in T1D and will help guide future studies on how prolonged exercise affects glucose control.

Key Details

Gender

All

Age Range

18 Years - 60 Years

Study Type

INTERVENTIONAL

Enrollment

29

Start Date

2025-11-22

Completion Date

2025-12

Last Updated

2025-12-16

Healthy Volunteers

Yes

Interventions

BEHAVIORAL

Prolonged moderate-intensity cycling session

One single outdoor gravel ride (\~75km) performed at a comfortable, sustainable intensity appropriate for each participant. The protocol does not prescribe specific speed, power, or heart-rate targets. Safety monitoring and on-route support will be provided to participants.

Locations (1)

Modeling & Intelligent Control Engineering Laboraotry (Universitat de Girona)

Girona, Girona, Spain