Physical Exertion Clinical Trial
— CRSOfficial title:
"Corre, Recupera, Repite, Siempre Saludable".
Verified date | May 2017 |
Source | Universitat Jaume I |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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 .
Status | Completed |
Enrollment | 98 |
Est. completion date | November 30, 2016 |
Est. primary completion date | October 20, 2016 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 30 Years to 45 Years |
Eligibility |
Inclusion Criteria: - 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 Exclusion Criteria: - Having heart disease - Having kidney disease - Taking a medication on an ongoing basis |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Universitat Jaume I | Fundación Hospitales NISA, Fundación Trinidad Alfonso, SD. Correcaminos |
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. — View Citation
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. — View Citation
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. — View Citation
Knechtle B, Nikolaidis PT, Zingg MA, Rosemann T, Rüst 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. — View Citation
Niemelä M, Kangastupa P, Niemelä 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. Epub 2016 Sep 9. — View Citation
Roca E, Nescolarde L, Lupón 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 5. doi: 10.1007/s12265-017-9744-2. [Epub ahead of print] — View Citation
Santos VC, Sierra AP, Oliveira R, Caçula 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, Gorjão 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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in the Blood Physiological parameters | Blood test | baseline, 0, 24, 48, 96, 144 and 192 hours post-race | |
Primary | 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 | |
Primary | Change in the Urin Physiological parameters | Urin test | baseline, 0, 48, 96, 144 and 192 hours post-race | |
Secondary | Self-reported questionnaire | Personal questionnaire asking for social and training habits | One month before the race day | |
Secondary | Strength level | Squat Jump (cm). Two jumps per person | pre-marathon race and 0, 48, 96, 144 hours post-marathon race | |
Secondary | Analysis of the change of body mass index | BMI | 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 | |
Secondary | Physical Condition | Maximal oxygen consumption | One month before the marathon race day | |
Secondary | Body composition | Bioimpedance analysis | One month before the marathon race day | |
Secondary | Heart rate | Recording the number of contractions of the heart per minute (bpm) by using a heart rate monitor during all the marathon race | Through marathon completion, an average of 4 hours |
Status | Clinical Trial | Phase | |
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Completed |
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