Penyagolosa Trail Saludable Women

NCT03990259 | Completed

• 1 other identifier: UJI_PTSW001
• Study Type: observational
• Target: 50
• Locations: 1 country
• Sites: 1

Brief Summary

This study has as main objective to asses different genetic, biochemical and physiological biomarkers affecting performance and health status in ultraendurance runners according to individual's sex.

Conditions

Physical Exertion

Keywords

Ultraendurance; Sex differences; Performance; Genetics; Physiological damage

Outcome Measures

Primary Outcomes (12)

• Change in the biochemical parameters related to kidney injury, dehydration, inflammation, and cardiac damage

  Blood concentration of estradiol, testosterone, progesterone, creatinine, troponin, C-reactive protein, hemoglobin, sodium, potassium, chlorine, iron, and ferritin. Concentration of all these parameters is expressed in mass per volume (i.e. nanograms per milliliter)

  12 hours before the race, 15 minutes after the race, 24 hours after the race and 48 hours after the race

• Change in the biochemical parameters related to muscle damage

  Blood concentration of lactate dehydrogenase and creatine kinase. The enzyme concentration is expressed in units per volume (enzyme units per milliliter)

  12 hours before the race, 15 minutes after the race, 24 hours after the race and 48 hours after the race

• Change in the biochemical parameters related to immunological response

  Blood concentration of erythrocytes, hematocrit, leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, and platelet volume. The concentration of each cell type is expressed in number of cells per volume (cells per liter)

  12 hours before the race, 15 minutes after the race, 24 hours after the race and 48 hours after the race

• Change in the power level

  Squat Jump (high of the jump measured in centimeters)

  12 hours before the race, 15 minutes after the race

• Change in the lung function

  Pulmonary function test by spirometry. The parameters measured are vital capacity (VC), forced vital capacity (FVC), maximal mid-expiratory flow (MEF) and total lung capacity. Outcome data of all these parameters are expressed in liters.

  12 hours before the race, and 15 minutes after the race

• Change in the lung function related to time

  Pulmonary function test by spirometry. The parameters measured are forced expiratory volume in 1 second (FEV1) and in 6 seconds (FEV6) and peak expiratory flow (PEF). Outcome data of all these parameters are expressed in liters per second.

  12 hours before the race, and 15 minutes after the race

• Change in the Strength level

  Hand grip (pressure in kilograms)

  12 hours before the race, in three moments during the race (after running 33km, 65km and 94 km), and 15 minutes after the race

• Change in the Ventilatory Flow

  Ventilatory Flow measurement (liters per minute)

  60 minutes before the race, in three moments during the race (after running 33km, 65km and 94 km), and 15 minutes after the race

• Change in the biochemical parameters related to dehydration and kidney injury

  Urine test to measure the concentration of sodium and creatinine, as well as urine density

  60 minutes before the race and 15 minutes after the race

• Analysis of tne changes in the Physical activity data

  Physical activity measured by wearing accelerometer devices. Physical activity defined as sedentary, light, moderate, vigorous, very vigorous and extremely vigorous. The aim to wear accelerometers devices is to monitor individuals.

  From 9 hours before starting the race to 48 hours after crossing the finish line.

• Analysis of the presence or absence of genetic markers related to endurance performance and ability to muscle damage recovery

  Analysis of different polymorphisms in genomic DNA samples, which were isolated from the saliva sample of each participant.

  12 hours before the race

• Telomere length, genetic marker related to biological aging

  Analysis of the telomere length in genomic DNA samples, which were isolated from saliva samples of each participant

  12 hours before the race

Secondary Outcomes (9)

• Self-reported questionnaire about social and health status

  One month before the race day

• Self-reported questionnaire about training habits

  One month before the race day

• Self-reported questionnaire about menstrual cycle (only for females)

  One month before the race day

• Assesment of physical condition by cardiopulmonary test

  One month before the race day

• Analysis of body composition (proportion of body fat, fat-free mass and water) per body areas (trunk, arms and legs)

  12 hours before the race, and 15 minutes after the race,

Study Arms (2)

Male

The male individuals of the study population

Other: Running the CSP Mountain Race

Female

The female individuals of the study population

Other: Running the CSP Mountain Race

Interventions

Running the CSP Mountain Race OTHER

The runners completed a 107,6 km mountain race

Female; Male

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

50 ultraendurance amateur runners, 19 females and 31 males.

You may qualify if:

• Healthy adults (\>18 years old)
• Volunteers should be finish at least one ultraendurance mountain race (\>60km).

You may not qualify if:

• Having heart disease
• Having kidney disease
• Taking a medication on an ongoing basis

Sponsors & Collaborators

• Universitat Jaume I: lead
• Club Deportivo Marató i Mitja Castelló-Penyagolosa: collaborator
• Fundación Vithas-Nisa: collaborator
• Hospital Vithas-Nisa 9 de Octubre: collaborator

Study Sites (1)

Universitat Jaume I

Castellon, 12071, Spain

Location

Related Publications (10)

• Cheuvront SN, Carter R, Deruisseau KC, Moffatt RJ. Running performance differences between men and women:an update. Sports Med. 2005;35(12):1017-24. doi: 10.2165/00007256-200535120-00002.

  PMID: 16336006 BACKGROUND

• Eichenberger E, Knechtle B, Rust CA, Rosemann T, Lepers R. Age and sex interactions in mountain ultramarathon running - the Swiss Alpine Marathon. Open Access J Sports Med. 2012 Jul 31;3:73-80. doi: 10.2147/OAJSM.S33836. eCollection 2012.

  PMID: 24198590 BACKGROUND

• Gimenez P, Kerherve H, Messonnier LA, Feasson L, Millet GY. Changes in the energy cost of running during a 24-h treadmill exercise. Med Sci Sports Exerc. 2013 Sep;45(9):1807-13. doi: 10.1249/MSS.0b013e318292c0ec.

  PMID: 23524515 BACKGROUND

• Hernando C, Hernando C, Collado EJ, Panizo N, Martinez-Navarro I, Hernando B. Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners. PLoS One. 2018 Aug 29;13(8):e0202815. doi: 10.1371/journal.pone.0202815. eCollection 2018.

  PMID: 30157271 BACKGROUND

• Joyner MJ. Physiological limits to endurance exercise performance: influence of sex. J Physiol. 2017 May 1;595(9):2949-2954. doi: 10.1113/JP272268. Epub 2017 Feb 9.

  PMID: 28028816 BACKGROUND

• Knechtle B, Knechtle P, Rosemann T, Lepers R. Personal best marathon time and longest training run, not anthropometry, predict performance in recreational 24-hour ultrarunners. J Strength Cond Res. 2011 Aug;25(8):2212-8. doi: 10.1519/JSC.0b013e3181f6b0c7.

  PMID: 21642857 BACKGROUND

• Knechtle B, Knechtle P, Wirth A, Alexander Rust C, Rosemann T. A faster running speed is associated with a greater body weight loss in 100-km ultra-marathoners. J Sports Sci. 2012;30(11):1131-40. doi: 10.1080/02640414.2012.692479. Epub 2012 Jun 6.

  PMID: 22668199 BACKGROUND

• Ahmetov I, Kulemin N, Popov D, Naumov V, Akimov E, Bravy Y, Egorova E, Galeeva A, Generozov E, Kostryukova E, Larin A, Mustafina Lj, Ospanova E, Pavlenko A, Starnes L, Zmijewski P, Alexeev D, Vinogradova O, Govorun V. Genome-wide association study identifies three novel genetic markers associated with elite endurance performance. Biol Sport. 2015 Mar;32(1):3-9. doi: 10.5604/20831862.1124568. Epub 2014 Oct 21.

  PMID: 25729143 BACKGROUND

• Borghini A, Giardini G, Tonacci A, Mastorci F, Mercuri A, Mrakic-Sposta S, Moretti S, Andreassi MG, Pratali L. Chronic and acute effects of endurance training on telomere length. Mutagenesis. 2015 Sep;30(5):711-6. doi: 10.1093/mutage/gev038. Epub 2015 May 22.

  PMID: 26001753 BACKGROUND

• Martinez-Navarro I, Aparicio I, Priego-Quesada JI, Perez-Soriano P, Collado E, Hernando B, Hernando C. Effects of wearing a full body compression garment during recovery from an ultra-trail race. Eur J Sport Sci. 2021 Jun;21(6):811-818. doi: 10.1080/17461391.2020.1783369. Epub 2020 Jun 30.

  PMID: 32538286 DERIVED

Biospecimen

Retention: SAMPLES WITH DNA

The genomic DNA was isolated from a saliva sample

Study Officials

• Carlos Hernando, PhD

  Universitat Jaume I

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Target Duration: 6 Weeks
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 20, 2019
• First Posted: June 18, 2019
• Study Start: February 25, 2019
• Primary Completion: April 4, 2019
• Study Completion: April 16, 2019
• Last Updated: June 18, 2019

Record last verified: 2019-06

Data Sharing

• IPD Sharing: Will not share

Locations

ES (1)