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DRKS00027153

Metabolic Responses to Glucose and Fructose supplementation prior to exercise in healthy individuals: a double blind randomized crossover-placebo controlled trial

Universität BayreuthInstitut für SportwissenschaftenDivision of Exercise Physiology and MetabolismUniversitätsstraße 3095440 BayreuthGermany·Deutsches Register Klinischer StudienRecruiting
Study focus
Disease/Condition
None ;Healthy volunteers
Study type
Interventional
Sponsor & location
Primary sponsor
Universität BayreuthInstitut für SportwissenschaftenDivision of Exercise Physiology and MetabolismUniversitätsstraße 3095440 BayreuthGermany
Funder
Universität BayreuthInstitut für SportwissenschaftenDivision of Exercise Physiology and MetabolismUniversitätsstraße 3095440 Bayreuth
Location
Germany
Timeline & enrollment
Phase
N/A
Start date
N/A
End date
N/A
Summary

In this study we are aiming to investigate the effects of glucose, fructose, glucose + fructose or sucralose supplementation on exercise performance in healthy individuals. Therefore we are focusing on cardio-pulmonary exercise testing, time until exhaustion, upper- and lower body resistance exercises.

ICD-10 classifications
Healthy person accompanying sick personRoutine general health check-up of armed forcesRoutine general health check-up of sports teamsRoutine general health check-up of inhabitants of institutions
Data source
Registry
Deutsches Register Klinischer Studien
Trial ID
DRKS00027153
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for DRKS00027153 through Pure Global AI's free database. This phase not specified trial is sponsored by Universität BayreuthInstitut für SportwissenschaftenDivision of Exercise Physiology and MetabolismUniversitätsstraße 3095440 BayreuthGermany and is currently Recruiting. The study focuses on None ;Healthy volunteers.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to Deutsches Register Klinischer Studien data, helping medical device and pharmaceutical companies navigate clinical research efficiently.