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The purpose of this project is to explore the relationship between the effect of coffee on exercise performance and caffeine metabolism.
Full description
The investigators will study the relationship between the impact of coffee on exercise and caffeine metabolism. The investigators will recruit healthy elite athletes. Participants will be forbidden to consume stimulant drinks such as coffee for 24 hours before the experiment. When the participants arrive at the lab on the day of the experiment, they will sign an informed consent form, a health history questionnaire and a daily coffee consumption questionnaire. Each participant does six rides, with one day of caffeine washout before each ride. In all trials, each participant will ride at the same time of day. Before riding, drink 200 ml water, decaffeinated coffee or coffee in random order, and the caffeine content of coffee is 200 mg. After 60 minutes of drinking, they start riding, after the completion of the riding, the subjects perceived and judged the perception between the baseline load and the comparison load. After the completion of the judgment, the next level of stimulus parameters will randomly generated to conduct the experiment. Each person conducted 6 groups of intervention experiments. Changes in average exercise performance, heart rate, electrocardiogram and body temperature will be observed after drinking decaffeinated coffee or coffee compared with drinking water. The concentration of caffeine and its metabolites in urine before and after drinking within 3 hours will be measured by liquid chromatography-mass spectrometry (LC-MS) or gas chromatography-mass spectrometry (GC-MS).
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Inclusion criteria
Healthy adults 18-40 years old
Exclusion criteria
Diabetes Hypoglycemia Gout Osteoporosis Gastric ulcer Pancreatitis Intestinal obstruction Blood phobia Pathological hypo or hyper tension Impaired glucose tolerance Claustrophobia HIV,etc.
Primary purpose
Allocation
Interventional model
Masking
24 participants in 3 patient groups, including a placebo group
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Central trial contact
John R Speakman, PhD; Huanan Zhang, Master
Data sourced from clinicaltrials.gov
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