Search results for "MARATHON RUNNERS"

showing 3 items of 3 documents

Inter-individual different responses to continuous and interval training in recreational middle-aged women runners

2020

A crucial subject in sports is identifying the inter-individual variation in response to training, which would allow creating individualized pre-training schedules, improving runner’s performance. We aimed to analyze heterogeneity in individual responses to two half-marathon training programs differing in running volume and intensity in middle-aged recreational women. 20 women (40 ± 7 years, 61 ± 7 kg, 167 ± 6 cm, and VO2max = 48 ± 6 mL⋅kg–1⋅min–1) underwent either moderate-intensity continuous (MICT) or high-intensity interval (HIIT) 12-week training. They were evaluated before and after training with maximal incremental tests in the laboratory (VO2max) and in the field (time to exhaustion…

medicine.medical_specialtyPhysiologyRunners (Sports)responderhigh intensity interval trainingexercise and sportPhysical education and traininglcsh:PhysiologyInterval trainingmiddle-aged women03 medical and health sciences0302 clinical medicinePhysiology (medical)Dones esportistesMedicine030212 general & internal medicineTime to exhaustionlcsh:QP1-981business.industryWomen athletes030229 sport sciencesBrief Research ReportHIIT-High-intensity interval trainingShort intervalmoderate intense endurance exercise trainingCorredors (Esports)non-responderHomogeneoushalf-marathon runnersPhysical therapyEducació físicabusinessHigh-intensity interval training
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Age, training, and previous experience predict race performance in long-distance inline skaters, not anthropometry

2012

Knechtle, Beat | Knechtle, Patrizia | Ruest, Christoph Alexander | Rosemann, Thomas | Lepers, Romuald; International audience; ''The association of characteristics of anthropometry, training, and previous experience with race time in 84 recreational, long-distance, inline skaters at the longest inline marathon in Europe (111 km), the Inline One-eleven in Switzerland, was investigated to identify predictor variables for performance. Age, duration per training unit, and personal best time were the only three variables related to race time in a multiple regression, while none of the 16 anthropometric variables were related. Anthropometric characteristics seem to be of no importance for a fast …

MaleGerontologyFuture studiesSWIMMING PERFORMANCEInline skating030204 cardiovascular system & hematologyRace (biology)0302 clinical medicineTRIATHLON PERFORMANCESMARATHON RUNNERSMENTAL TOUGHNESSPhysical Education and TrainingAnthropometrybiologyAge FactorsContrast (statistics)Middle AgedSensory SystemsTIMESkinfold Thickness[ SCCO.NEUR ] Cognitive science/Neurosciencesports.sport''SKIN-FOLD THICKNESSESPsychologyAdult11035 Institute of General PracticeBODY-COMPOSITIONsportsAccelerationExperimental and Cognitive Psychology610 Medicine & healthAthletic Performance03 medical and health sciences2809 Sensory SystemsHumansAssociation (psychology)ULTRA-MARATHONERSTIME''Athletes3205 Experimental and Cognitive Psychology[SCCO.NEUR]Cognitive science/NeuroscienceTraining (meteorology)030229 sport sciencesAnthropometrybiology.organism_classificationSKIN-FOLD THICKNESSESPractice PsychologicalSkatingPhysical EnduranceUPPER ARMRUNNING PERFORMANCE
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Runners in their forties dominate ultra-marathons from 50 to 3,100 miles

2014

International audience; OBJECTIVES: This study investigated performance trends and the age of peak running speed in ultra-marathons from 50 to 3,100 miles. METHODS: The running speed and age of the fastest competitors in 50-, 100-, 200-, 1,000- and 3,100-mile events held worldwide from 1971 to 2012 were analyzed using single- and multi-level regression analyses. RESULTS: The number of events and competitors increased exponentially in 50- and 100-mile events. For the annual fastest runners, women improved in 50-mile events, but not men. In 100-mile events, both women and men improved their performance. In 1,000-mile events, men became slower. For the annual top ten runners, women improved in…

AdultMale11035 Institute of General PracticeGerontologyANTHROPOMETRYAge of Peak PerformanceTime FactorsPARTICIPATION610 Medicine & health2700 General MedicineAthletic PerformanceMuscle massUltra marathonRunningYoung AdultSex FactorsSex factorsHumansMedicineULTRAMARATHON RUNNERSMUSCLE MASSYoung adultUltra-Marathonlcsh:R5-920business.industryAEROBIC POWERRACE TIMEAge FactorsENDURANCEMOTIVATIONGeneral MedicineClinical ScienceMiddle AgedAnthropometryRunning SpeedPhysical EnduranceRegression AnalysisFemale[ SCCO ] Cognitive scienceRUNNING PERFORMANCEbusinesslcsh:Medicine (General)ULTRARUNNERSClinics
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