Author
Listed:
- 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
Instituto de Telecomunicações, Delegação da Covilhã, 1049-001 Lisboa, Portugal)
- 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)
- Yung-Sheng Chen
(Department of Exercise and Health Sciences, University of Taipei, Taipei 11153, Taiwan)
- Rodrigo Aquino
(Center of Physical Education and Sports, Department of Sports, Federal University of Espírito Santo, Vitoria 29075-910, Brazil)
- Gibson Moreira Praça
(Sports Department, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil)
- Julen Castellano
(Department of Physical Education and Sport, University of Basque Country UPV EHU, 48940 Vitoria, Spain)
- Hadi Nobari
(Department of Exercise Physiology, Faculty of Sport Sciences, University of Isfahan, Isfahan 81746-73441, Iran
Sports Scientist, Sepahan Football Club, Isfahan 81346-13119, Iran)
- Bruno Mendes
(Faculty of Human Kinetics, University of Lisboa, 1649-004 Lisboa, Portugal)
- Thomas Rosemann
(Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland)
- Beat Knechtle
(Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland
Medbase St. Gallen Am Vadianplatz, Vadianstrasse 26, 9001 St. Gallen, Switzerland)
Abstract
The aim of this study was to analyze the variations of acute load (AL), acute: chronic workload ratio (ACWR), training monotony (TM), and training strain (TS) of accelerometry-based GPS measures in players who started in three matches (S3M), two matches (S2M), and one match (S1M) during congested weeks. Nineteen elite professional male players from a Portuguese team (age: 26.5 ± 4.3 years) were monitored daily using global positioning systems (GPSs) over a full season (45 weeks). Accelerometry-derived measures of high metabolic load distance (HMLD), high accelerations (HA), and high decelerations (HD) were collected during each training session and match. Seven congested weeks were classified throughout the season, and the participation of each player in matches played during these weeks was codified. The workload indices of AL (classified as ACWR, TM, and TS) were calculated weekly for each player. The AL of HMLD was significantly greater for S2M than S1M (difference = 42%; p = 0.002; d = 0.977) and for S3M than S1M (difference = 44%; p = 0.001; d = 1.231). Similarly, the AL of HA was significantly greater for S2M than S1M (difference = 25%; p = 0.023; d = 0.735). The TM of HD was significantly greater for S2M than S3M (difference = 25%; p = 0.002; d = 0.774). Accelerometry-based measures were dependent on congested fixtures. S2M had the greatest TS values, while S3M had the greatest TM.
Suggested Citation
Filipe Manuel Clemente & Rui Silva & Yung-Sheng Chen & Rodrigo Aquino & Gibson Moreira Praça & Julen Castellano & Hadi Nobari & Bruno Mendes & Thomas Rosemann & Beat Knechtle, 2021.
"Accelerometry-Workload Indices Concerning Different Levels of Participation during Congested Fixture Periods in Professional Soccer: A Pilot Study Conducted over a Full Season,"
IJERPH, MDPI, vol. 18(3), pages 1-9, January.
Handle:
RePEc:gam:jijerp:v:18:y:2021:i:3:p:1137-:d:488681
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1137-:d:488681. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.