Literature DB >> 29619798

Seasonal player wellness and its longitudinal association with internal training load: study in elite volleyball.

Filipe M Clemente1,2, Bruno Mendes3, José M Palao4, André Silvério3, Sandro Carriço3, Francisco Calvete3, Fábio Y Nakamura5,6.   

Abstract

BACKGROUND: Monitoring training load is critical to minimize the risk of overreaching, injury or illness. The purpose of this study was to assess the relationships and variance between perceived internal load and wellness status of elite male volleyball.
METHODS: Thirteen elite volleyball players were studied during a full competitive season (nine months, 237 training sessions and 37 official matches). Perceived exertion, muscle soreness, stress, fatigue and sleep quality levels were daily measured using session RPE and the Hopper Questionnaire.
RESULTS: Moderate-to-large correlations were found between weekly training load and perceived status of muscle soreness, fatigue and stress. Stronger correlations were found between weekly training loads than daily training load. Significant greater stress levels in match days than in training were found. No correlations between load and wellness were not found in the last month when players perceived higher levels of stress due to the competition.
CONCLUSIONS: The analysis of the weekly training load had a higher relationship with players' wellness status in preseason and middle of the season. In the last part of the season (final matches for the title), despite of a decrease in perceived load of last month of the season, there was an increase stress and fatigue levels. These results suggest the importance of including the impact on the competition when elite athletes are monitored. The results show the monitoring tools used may help in to characterize the training process of teams and the player's acute and chronic responses.

Entities:  

Mesh:

Year:  2018        PMID: 29619798     DOI: 10.23736/S0022-4707.18.08312-3

Source DB:  PubMed          Journal:  J Sports Med Phys Fitness        ISSN: 0022-4707            Impact factor:   1.637


  6 in total

1.  Single-Item Self-Report Measures of Team-Sport Athlete Wellbeing and Their Relationship With Training Load: A Systematic Review.

Authors:  Ciara Duignan; Cailbhe Doherty; Brian Caulfield; Catherine Blake
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

2.  Within-Week Variations and Relationships between Internal and External Intensities Occurring in Male Professional Volleyball Training Sessions.

Authors:  Ricardo Franco Lima; Francisco Tomás González Férnandez; Ana Filipa Silva; Lorenzo Laporta; Henrique de Oliveira Castro; Sérgio Matos; Georgian Badicu; Gonçalo Arezes Pereira; Gustavo De Conti Teixeira Costa; Filipe Manuel Clemente
Journal:  Int J Environ Res Public Health       Date:  2022-07-17       Impact factor: 4.614

3.  Wellness Forecasting by External and Internal Workloads in Elite Soccer Players: A Machine Learning Approach.

Authors:  Alessio Rossi; Enrico Perri; Luca Pappalardo; Paolo Cintia; Giampietro Alberti; Darcy Norman; F Marcello Iaia
Journal:  Front Physiol       Date:  2022-06-15       Impact factor: 4.755

4.  Fatigue and Training Load Factors in Volleyball.

Authors:  Damian Pawlik; Dariusz Mroczek
Journal:  Int J Environ Res Public Health       Date:  2022-09-06       Impact factor: 4.614

5.  Fluctuations in Well-Being Based on Position in Elite Young Soccer Players during a Full Season.

Authors:  Hadi Nobari; Maryam Fani; Elena Pardos-Mainer; Jorge Pérez-Gómez
Journal:  Healthcare (Basel)       Date:  2021-05-14

Review 6.  A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in Soccer.

Authors:  Alessio Rossi; Luca Pappalardo; Paolo Cintia
Journal:  Sports (Basel)       Date:  2021-12-24
  6 in total

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