Athletes as well as non-athletes
Conditions
Interventions
Group 1: Cross-sectional Study:
- Signing of the informed consent form
- Survey of different variables with potential influence on Pmax by means of questionnaires.
- Collection of demographic (age, g
Sponsors
Technische Universität Dortmund, Institut für Sport und Sportwissenschaft, Arbeitsbereich für Leistung und Gesundheit (Sportmedizin)
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: no entry
Exclusion criteria
Exclusion criteria: Since the prediction models for Pmax should also be applicable to as many different populations as possible in the follow-up, the exclusion criteria are limited to physical and mental conditions that make it impossible for subjects to participate in the planned studies. These include: - Acute infections or orthopedic problems that make spiroergometric exercise impossible, - the wearing of a pacemaker or an ongoing pregnancy, as this makes it impossible to perform a bioimpedance analysis to determine the body composition, - lack of knowledge of German, as it makes it impossible to answer the questionnaires. Non-orthopedic medical conditions, such as metabolic, neurologic, or neoplastic diseases, are not grounds for exclusion.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| An adequate predictive model of Pmax and VO2max that includes relevant predictive parameters from the following data: demographic and anthropometric data, physical activity level, hand strength, body composition, blood and saliva parameters, questionnaire evaluations and submaximal data. | — |
Secondary
| Measure | Time frame |
|---|---|
| no entry | — |
Countries
Germany
Contacts
Public ContactPhilipp Zimmer
Technische Universität Dortmund, Institut für Sport und Sportwissenschaft, Arbeitsbereich für Leistung und Gesundheit (Sportmedizin)
Outcome results
None listed