Author
Listed:
- Fabrizio Perroni
(Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy)
- Silvia Migliaccio
(Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy)
- Paolo Borrione
(Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy)
- Mario Vetrano
(Physical Medicine and Rehabilitation Unit, Sant’Andrea Hospital, “Sapienza” University of Rome, 00189 Rome, Italy)
- Stefano Amatori
(Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, 61029 Urbino, Italy)
- Davide Sisti
(Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, 61029 Urbino, Italy)
- Marco B. L. Rocchi
(Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, 61029 Urbino, Italy)
- Gerardo Salerno
(Department of Clinical and Molecular Medicine, Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University of Rome, 00189 Rome, Italy)
- Riccardo Del Vescovo
(“Empoli F.C.” Soccer Team, 50053 Empoli, Italy)
- Elena Cavarretta
(Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy
Mediterranea Cardiocentro, 80122 Napoli, Italy)
- Laura Guidetti
(Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy)
- Carlo Baldari
(Faculty of Psychology, eCampus University, Novedrate, 22060 Como, Italy)
- Vincenzo Visco
(Department of Clinical and Molecular Medicine, Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University of Rome, 00189 Rome, Italy)
Abstract
The study aimed to investigate the correlations among immune, haematological, endocrinological markers and fitness parameters, and assess if the physiological parameters could be a predictor of fitness values. Anthropometric, physical evaluations (countermovement jump—CMJ, 10 m sprint, VO 2 max, repeated sprint ability—RSA total time and index) and determination of blood (IL-6, IL-10, IL-17A and tumour necrosis factor) and salivary (testosterone and cortisol) samples parameters in 28 young male soccer players (age: 13.0 ± 0.2 years, body mass index (BMI): 19.5 ± 2.2 kg/m 2 ) were analysed. To evaluate the dependence of the variables related to athletic performance, multiple linear regression with backward stepwise elimination was considered. A significant regression equation was found in CMJ (F (5,16) = 9.86, p < 0.001, R 2 adjusted = 0.679) and in the RSA index (F (5,16) = 15.39, p < 0.001, R 2 adjusted = 0.774) considering only five variables, in a 10 m sprint (F (4,17) = 20.25, p < 0.001, R 2 adjusted = 0.786) and in the RSA total time (F (4,17) = 15.31, p < 0.001, R 2 adjusted = 0.732) considering only four variables and in VO 2 max (F (9,12) = 32.09, p < 0.001, R 2 adjusted = 0.930) considering nine variables. Our study suggests the use of regression equations to predict the fitness values of youth soccer players by blood and saliva samples, during different phases of the season, short periods of match congestion or recovery from an injury.
Suggested Citation
Fabrizio Perroni & Silvia Migliaccio & Paolo Borrione & Mario Vetrano & Stefano Amatori & Davide Sisti & Marco B. L. Rocchi & Gerardo Salerno & Riccardo Del Vescovo & Elena Cavarretta & Laura Guidetti, 2020.
"Can Haematological and Hormonal Biomarkers Predict Fitness Parameters in Youth Soccer Players? A Pilot Study,"
IJERPH, MDPI, vol. 17(17), pages 1-13, August.
Handle:
RePEc:gam:jijerp:v:17:y:2020:i:17:p:6294-:d:405848
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