Performance Determinants Factors in Elite Endurance Athletes.

NCT03569566 | Completed

• 1 other identifier: 2017/2522
• Study Type: observational
• Target: 54
• Locations: 1 country
• Sites: 1

Brief Summary

Several studies have investigated determinant factors for endurance performance among different athletes, untrained individuals and patients focusing on the impact of age, genes and training intensity. A further step in this research will be to investigate the impact of age, genes, training intensity and history of tick-bourne disease on endurance performance in elite endurance athletes. We are planning a project with a two-step model. In step one we will, in a cross-sectional study design, investigate potential relationships between age, training intensity, training volume, genes, exosomes and history of tick-bourne disease and physiological variables and endurance performance. In step two we will investigate differences in training adaptation by observing and monitoring all training done by the participants during a 6-months period. The participants will be tested for several physiological variables before, after 3- months and after this period. We will also investigate the impact of age, training intensity, training volume, genes and history of tick-bourne disease on the results from the physiological tests and performance.

Conditions

Exercise Physiology

Keywords

Age; Genes; Training volume; Training intensity; Tick-bourne disease; Endurance performance; Elite endurance athletes

Outcome Measures

Primary Outcomes (2)

• Time trail cross-country roller skiing performance

  Testing of seconds used in a predefined track

  Change from baseline performance at 3-months and at 6-months

• Maximal oxygen consumption

  Standard ergospirometrical incremental test in running and double-poling

  Change from baseline maximal oxygen uptake at 3-months and at 6-months

Secondary Outcomes (11)

• Lactate threshold in double poling

  Change from baseline lactate threshold at 3-months and at 6-months

• Double poling economy

  Change from baseline economy at 3-months and at 6-months

• Maximal strength

  Change from baseline maximal strength at 3-months and at 6-months

• Jump height

  Change from baseline jump height at 3-months and at 6-months

• Genotypes

  Baseline

Study Arms (1)

Elite endurance athletes

Cross-country skiers at high national level

Other: Age, Genes, Training, Tickbourne Disease and Endurance

Interventions

Age, Genes, Training, Tickbourne Disease and Endurance OTHER

Testing of genes, exosomes, physiological variables, tick-bourne disease markers, observation of training modality and performance

Elite endurance athletes

Eligibility Criteria

• Age: 16 Years - 50 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Cross-country skiers at high national or international level

You may qualify if:

• age between 16 and 50
• active competition athletes competing on a national level or above
• athletes who write training diaries

You may not qualify if:

• Sickness and/or injury who contra indicates normal training and maximal testing.
• An on-going infection or injury.

Sponsors & Collaborators

• University of South-Eastern Norway: lead
• Norwegian University of Science and Technology: collaborator

Study Sites (1)

Telemark University College

Bø, Telemark, 3800, Norway

Location

Related Publications (4)

• Storen O, Bratland-Sanda S, Haave M, Helgerud J. Improved VO2max and time trial performance with more high aerobic intensity interval training and reduced training volume: a case study on an elite national cyclist. J Strength Cond Res. 2012 Oct;26(10):2705-11. doi: 10.1519/JSC.0b013e318241deec.

  PMID: 22124353 BACKGROUND

• Ingjer, F. Maximal oxygen uptake as a predictor of performance ability in women and men elite cross-country skiers. Scand. J. Med. Sci. Sports. 1: 25-30, 1991.

  BACKGROUND

• Storen O, Ulevag K, Larsen MH, Stoa EM, Helgerud J. Physiological determinants of the cycling time trial. J Strength Cond Res. 2013 Sep;27(9):2366-73. doi: 10.1519/JSC.0b013e31827f5427.

  PMID: 23238091 BACKGROUND

• Storen O, Ronnestad BR, Sunde A, Hansen J, Ellefsen S, Helgerud J. A time-saving method to assess power output at lactate threshold in well-trained and elite cyclists. J Strength Cond Res. 2014 Mar;28(3):622-9. doi: 10.1519/JSC.0b013e3182a73e70.

  PMID: 23942166 BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Blood samples will be taken, and will be used for the following purposes: * DNA isolation and analysis: DNA genome will be isolated from white blood cells. This DNA genome will be contained in a biobank - Exercise Genetics. Well-known genetic variations in genes will be tested showing relevance to training adaptations (ACE, ACTN3 etc.). Only known polymorphisms will be investigated. * Exosome isolation from plasma: We will isolate exosomes from plasma by the ultracentrifugation method. We will investigate the volume and specific types of exosomes, in relation to the training intervention. We also want to examine the exosome-cargo, like miRNA, protein content, mRNA and DNA content. * Isolation of antibodies from plasma: We want to investigate antibodies to examine potential on-going disease, recently disease or earlier disease of Barbesia, Anaplasma or other actual tick-borne agens. We also want to isolate DNA from blood and use real-time PCR for anaplasma and Neo Ehrlichia analysis.

MeSH Terms

Interventions

Aging; Genes

Intervention Hierarchy (Ancestors)

Growth and Development; Physiological Phenomena; Genome Components; Genome; Genetic Structures; Genetic Phenomena

Study Officials

• Pål Augestad, PhD

  University of South-Eastern Norway

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 28, 2018
• First Posted: June 26, 2018
• Study Start: June 27, 2018
• Primary Completion: December 31, 2021
• Study Completion: December 31, 2021
• Last Updated: August 4, 2022

Record last verified: 2021-12

Data Sharing

• IPD Sharing: Will not share

Locations

NO (1)