Eduardo Piedrafita
Has grant
Lecturer in Sport Sciences Degree
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Eduardo Piedrafita is a Lecturer in Sport Sciences at Universidad San Jorge, Spain. His research areas include physiological adaptations in athletes, particularly vertical kilometer runners and goalball players, as well as the effects of melatonin on physical performance. He has published extensively on topics such as running economy and the impact of training methodologies on young basketball players.
Recent Grants
Grant: Close
BMX - Training to Win
Open Date: 2021-01-01
Close Date: 2023-06-01
Grant: Close
Active Twinning for Enhancing Physical Activity in Rural Areas (A-TWIN)
Open Date: 2020-01-01
Close Date: 2021-12-01
Grant: Close
Grupo investigador de referencia "ValorA"
Open Date: 2020-01-01
Close Date: 2022-12-01
Grant: Close
Grupo investigador de referencia "ValorA"
Open Date: 2017-01-01
Close Date: 2019-12-01
Grant: Close
Análisis de los hábitos, demandas y tendencias deportivas de la población zaragozana 2015
Open Date: 2015-03-01
Close Date: 2015-12-01
Articles (16)
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
New and promising variables are being developed to analyze performance and fatigue in trail running, such as mechanical power, metabolic power, metabolic cost of transport and mechanical efficiency. The aim of this study was to analyze the behavior of these variables during a real vertical kilometer field test. Fifteen trained trail runners, eleven men (from 22 to 38 years old) and four women (from 19 to 35 years old) performed a vertical kilometer with a length of 4.64 km and 835 m positive slope. During the entire race, the runners were equipped with portable gas analyzers (Cosmed K5) to assess their cardiorespiratory and metabolic responses breath by breath. Significant differences were found between top-level runners versus low-level runners in the mean values of the variables of mechanical power, metabolic power and velocity. A repeated-measures ANOVA showed significant differences between the sections, the incline and the interactions between all the analyzed variables, in addition to differences depending on the level of the runner. The variable of mechanical power can be statistically significantly predicted from metabolic power and vertical net metabolic COT. An algebraic expression was obtained to calculate the value of metabolic power. Integrating the variables of mechanical power, vertical velocity and metabolic power into phone apps and smartwatches is a new opportunity to improve performance monitoring in trail running.
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2020
Collaborators (4)
Pablo Jesus Bascuas
College Professor
Universidad San Jorge
Ana Vanessa Bataller-Cervero
Universidad San Jorge
Juan Rabal-Pelay
Universidad San Jorge
César Berzosa
Universidad San Jorge
Make your next move.
Prepare your application
Review drafts before you send them.