NCT03155633

Brief Summary

This study has as main objective to know how the processes of recovery are realized after a race of marathon. For this, the participants of a marathon race are divided into three work groups during the 9 days post-marathon, one with rest in the recovery period, another with continuous race three sessions every 48h and another with three sessions of elliptical every 48h .

Trial Health

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
98

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Jun 2016

Shorter than P25 for not_applicable

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 1, 2016

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 20, 2016

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2016

Completed
5 months until next milestone

First Submitted

Initial submission to the registry

April 26, 2017

Completed
20 days until next milestone

First Posted

Study publicly available on registry

May 16, 2017

Completed
Last Updated

May 16, 2017

Status Verified

May 1, 2017

Enrollment Period

5 months

First QC Date

April 26, 2017

Last Update Submit

May 15, 2017

Conditions

Keywords

Marathon, runners, biomarkers, recovery

Outcome Measures

Primary Outcomes (3)

  • Change in the Blood Physiological parameters

    Blood test

    baseline, 0, 24, 48, 96, 144 and 192 hours post-race

  • Analysis of tne changes in the Physical activity data

    Physical activity measured by wearing accelerometer devices. Physical activity defined as sedentary, light, moderate and vigorous. The aim to wear accelerometers devices is to monitor individuals during recovery time post-marathon race

    One month before the pre-race, accelerometers were worn during seven days. Accelerometers were also worn during nine days starting from the night before the marathon race

  • Change in the Urin Physiological parameters

    Urin test

    baseline, 0, 48, 96, 144 and 192 hours post-race

Secondary Outcomes (6)

  • Self-reported questionnaire

    One month before the race day

  • Strength level

    pre-marathon race and 0, 48, 96, 144 hours post-marathon race

  • Analysis of the change of body mass index

    one month before the marathon race day, 24 hours before the marathon race, 2 hours before the marathon race and 10 minutes after the marathon race

  • Physical Condition

    One month before the marathon race day

  • Body composition

    One month before the marathon race day

  • +1 more secondary outcomes

Study Arms (3)

Rest Group

NO INTERVENTION

Rest during the 9 days after the race

Running Group

EXPERIMENTAL

Running at 95-105% aerobic Threshold on athletics track 48h, 96h, 144h after the race. Control heart devices

Other: Athletics track

Elliptical Group

EXPERIMENTAL

Running at 95-105% aerobic Threshold on elliptical machine 48h, 96h, 144h after the race. Control heart devices

Other: Elliptical machine

Interventions

Running at 95-105% aerobic Threshold on athletics track 48h, 96h, 144h after the race. Control heart devices

Running Group

Running at 95-105% aerobic Threshold on elliptical machine 48h, 96h, 144h after the race. Control heart devices

Elliptical Group

Eligibility Criteria

Age30 Years - 45 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Adults healthy with 30-45 years
  • BMI between 16-24,99
  • Time in marathon between 3h-4h in men
  • Time in marathon between 3h:30min-4h:40min in women

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (9)

  • Knechtle B, Nikolaidis PT, Zingg MA, Rosemann T, Rust CA. Differences in age of peak marathon performance between mountain and city marathon running - The 'Jungfrau Marathon' in Switzerland. Chin J Physiol. 2017 Feb 28;60(1):11-22. doi: 10.4077/CJP.2017.BAE400.

    PMID: 28052642BACKGROUND
  • Roca E, Nescolarde L, Lupon J, Barallat J, Januzzi JL, Liu P, Cruz Pastor M, Bayes-Genis A. The Dynamics of Cardiovascular Biomarkers in non-Elite Marathon Runners. J Cardiovasc Transl Res. 2017 Apr;10(2):206-208. doi: 10.1007/s12265-017-9744-2. Epub 2017 Apr 5.

    PMID: 28382580BACKGROUND
  • Santos VC, Sierra AP, Oliveira R, Cacula KG, Momesso CM, Sato FT, Silva MB, Oliveira HH, Passos ME, de Souza DR, Gondim OS, Benetti M, Levada-Pires AC, Ghorayeb N, Kiss MA, Gorjao R, Pithon-Curi TC, Cury-Boaventura MF. Marathon Race Affects Neutrophil Surface Molecules: Role of Inflammatory Mediators. PLoS One. 2016 Dec 2;11(12):e0166687. doi: 10.1371/journal.pone.0166687. eCollection 2016.

    PMID: 27911915BACKGROUND
  • Niemela M, Kangastupa P, Niemela O, Bloigu R, Juvonen T. Individual responses in biomarkers of health after marathon and half-marathon running: is age a factor in troponin changes? Scand J Clin Lab Invest. 2016 Nov;76(7):575-580. doi: 10.1080/00365513.2016.1225122. Epub 2016 Sep 9.

    PMID: 27609306BACKGROUND
  • Kim YJ, Ahn JK, Shin KA, Kim CH, Lee YH, Park KM. Correlation of Cardiac Markers and Biomarkers With Blood Pressure of Middle-Aged Marathon Runners. J Clin Hypertens (Greenwich). 2015 Nov;17(11):868-73. doi: 10.1111/jch.12591. Epub 2015 Jun 13.

    PMID: 26073606BACKGROUND
  • Tojima M, Noma K, Torii S. Changes in serum creatine kinase, leg muscle tightness, and delayed onset muscle soreness after a full marathon race. J Sports Med Phys Fitness. 2016 Jun;56(6):782-8. Epub 2015 Feb 10.

    PMID: 25665742BACKGROUND
  • 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: 21642857BACKGROUND
  • Knechtle B, Knechtle P, Barandun U, Rosemann T, Lepers R. Predictor variables for half marathon race time in recreational female runners. Clinics (Sao Paulo). 2011;66(2):287-91. doi: 10.1590/s1807-59322011000200018.

    PMID: 21484048BACKGROUND
  • Martinez-Navarro I, Montoya-Vieco A, Collado E, Hernando B, Panizo N, Hernando C. Muscle Cramping in the Marathon: Dehydration and Electrolyte Depletion vs. Muscle Damage. J Strength Cond Res. 2022 Jun 1;36(6):1629-1635. doi: 10.1519/JSC.0000000000003713. Epub 2020 Aug 12.

Study Officials

  • Carlos Hernando

    Universitat Jaume I

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: The first one performed rests during the 9 days after the race, the second performed continuous race monitored every 48h from the end of the race, and the third group performed aerobic work on an elliptical machine under the same conditions as the group of Continuous race
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Ph D. Director of Sports Service

Study Record Dates

First Submitted

April 26, 2017

First Posted

May 16, 2017

Study Start

June 1, 2016

Primary Completion

October 20, 2016

Study Completion

November 30, 2016

Last Updated

May 16, 2017

Record last verified: 2017-05

Data Sharing

IPD Sharing
Will share

The data are administered by the Investigator Principal, other researchers must request the data they need by written request