Weekly Variations in the Workload of Turkish National Youth Wrestlers: A Season of Complete Preparation

Hadi Nobari, Rui Silva, Filipe Manuel Clemente, Zeki Akyildiz, Luca Paolo Ardigò and Jorge Pérez-Gómez
Additional contact information
Hadi Nobari: Department of Physical Education and Sports, University of Granada, 18010 Granada, Spain
Rui Silva: Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
Filipe Manuel Clemente: Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
Zeki Akyildiz: Movement and Training Science Department, Gazi University, 06560 Ankara, Turkey
Luca Paolo Ardigò: Department of Neurosciences, Biomedicine and Movement Sciences, School of Exercise and Sport Science, University of Verona, 37129 Verona, Italy
Jorge Pérez-Gómez: HEME Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain

IJERPH, 2021, vol. 18, issue 7, 1-14

Abstract: The aim of this study was twofold: (1) to describe the weekly acute workload (wAW), chronic workload (wCW), acute/chronic workload ratio (wACWR), training monotony (wTM), and strain (wTS) across the preparation season (PS), and (2) to analyze the variations of wAW, wCW, wACWR, wTM, and training strain (wTS) between periods of PS (early-, mid-, and end). Ten elite young wrestlers were monitored daily during the 32 weeks of the season. Internal loads were monitored using session rating of perceived exertion, and weekly workload measures of wACWR, wTM, and wTS were also calculated. Results revealed that the greatest differences were found between early- and mid-PS for wAW ( p = 0.004, g = 0.34), wCW ( p = 0.002, g = 0.90), wTM ( p = 0.005, g = 0.39), and wTS ( p = 0.009, g = ?1.1), respectively. The wACWR showed significant differences between early- and end-PS ( p ? 0.001, g = ?0.30). We concluded that wAW, wCW, and wTM are slightly lower during the first weeks of the PS. The wTM remained relatively high during the entire season, while wAW and wCW remained balanced throughout the PS. The greatest workload changes seem to happen from the early to mid-PS season.

Keywords: athlete monitoring; performance; training load; sports training; ACWR (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/7/3832/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/7/3832/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:7:p:3832-:d:531012

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().