César Berzosa

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Universidad San Jorge
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Recent Grants

Grant: Close

ValorA

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

RA_PAFIS: Diseño, pilotaje y evaluación de un conjunto de herramientas del servicio de actividad física y recomendación de activos para la salud (PAFIS) en Atención Primaria de Salud en comarcas del medio rural de Aragón para la mejora de la Actividad Física Beneficiosa para la Salud (AFBS)

Open Date: 2022-09-01

Close Date: 2023-11-01

Grant: Close

ValorA

Open Date: 2020-01-01

Close Date: 2022-12-01

Grant: Close

Comparación de datos cinemáticos articulares recogidos mediante un sistema de captura de movimiento Markerless con los registrados con un sistema de fotogrametría con marcadores para protocolos de movimiento de hombro, salto y marcha

Open Date: 2019-01-01

Close Date: 2019-07-01

Grant: Close

Desarrollo de un sensor de cama avanzado y algoritmo predictivo Proyecto de Investigación Industrial

Open Date: 2018-09-01

Close Date: 2019-03-01

Articles (14)

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2024

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2024

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2024

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2024

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2024

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2024

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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.

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (5)

Irela Arbonés-Arqué

Profesora colaboradora

Institut Nacional d'Educació Física de Catalunya - Campus Lleida

SPAIN
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Eduardo Piedrafita

Lecturer in Sport Sciences Degree

Universidad San Jorge

SPAIN
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Pablo Jesus Bascuas

College Professor

Universidad San Jorge

SPAIN
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Ana Vanessa Bataller-Cervero

Universidad San Jorge

SPAIN
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Juan Rabal-Pelay

Universidad San Jorge

SPAIN
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