Within-Week Variations and Relationships between Internal and External Intensities Occurring in Male Professional Volleyball Training Sessions
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Approach to the Problem
2.2. Participants
2.3. Instruments
2.3.1. Internal Intensity
2.3.2. External Intensity
2.4. Procedures
2.5. Statistical Analysis
3. Results
3.1. Jump Height Average
3.2. Minimum Jump
3.3. Maximal Jump
3.4. Range Jump
3.5. Number of Jumps
3.6. Density
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Staunton, C.A.; Abt, G.; Weaving, D. Misuse of the term ‘load’ in sport and exercise science. J. Sci. Med. Sport 2021, 25, 439–444. [Google Scholar] [CrossRef] [PubMed]
- Lima-Alves, A.; Claudino, J.G.; Boullosa, D.; Couto, C.R.; Teixeira-Coelho, F.; Pimenta, E.M. The relationship between internal and external loads as a tool to monitor physical fitness status of team sport athletes: A systematic review. Biol. Sport 2022, 39, 629–638. [Google Scholar] [CrossRef]
- Burgess, D.J. The Research Doesn’t Always Apply: Practical Solutions to Evidence-Based Training-Load Monitoring in Elite Team Sports. Int. J. Sports Physiol. Perform. 2017, 12, S2136–S2141. [Google Scholar] [CrossRef] [PubMed]
- Lima, R.; Castro, H.D.O.; Afonso, J.; Costa, G.D.C.T.; Matos, S.; Fernandes, S.; Clemente, F.M. Effects of Congested Fixture on Men’s Volleyball Load Demands: Interactions with Sets Played. J. Funct. Morphol. Kinesiol. 2021, 6, 53. [Google Scholar] [CrossRef]
- Taylor, J.B.; Barnes, H.C.; Gombatto, S.P.; Greenwood, D.; Ford, K.R. Quantifying External Load and Injury Occurrence in Women’s Collegiate Volleyball Players Across a Competitive Season. J. Strength Cond. Res. 2022, 36, 805–812. [Google Scholar] [CrossRef]
- Williams, S.; Trewartha, G.; Cross, M.J.; Kemp, S.; Stokes, K.A. Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures. Int. J. Sports Physiol. Perform. 2017, 12, S2101–S2106. [Google Scholar] [CrossRef] [Green Version]
- Bourdon, P.C.; Cardinale, M.; Murray, A.; Gastin, P.; Kellmann, M.; Varley, M.C.; Gabbett, T.J.; Coutts, A.J.; Burgess, D.J.; Gregson, W.; et al. Monitoring Athlete Training Loads: Consensus Statement. Int. J. Sports Physiol. Perform. 2017, 12, S2161–S2170. [Google Scholar] [CrossRef]
- Coutts, A.J. In the Age of Technology, Occam’s Razor Still Applies. Int. J. Sports Physiol. Perform. 2014, 9, 741. [Google Scholar] [CrossRef]
- Soligard, T.; Schwellnus, M.; Alonso, J.M.; Bahr, R.; Clarsen, B.; Dijkstra, H.P.; Gabbett, T.; Gleeson, M.; Hägglund, M.; Hutchinson, M.R.; et al. How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. Br. J. Sports Med. 2016, 50, 1030–1041. [Google Scholar] [CrossRef] [Green Version]
- Halson, S.L. Monitoring Training Load to Understand Fatigue in Athletes. Sports Med. 2014, 40, 139–147. [Google Scholar] [CrossRef] [Green Version]
- Impellizzeri, F.M.; Marcora, S.M.; Coutts, A.J. Internal and External Training Load: 15 Years On. Int. J. Sports Physiol. Perform. 2019, 14, 270–273. [Google Scholar] [CrossRef] [PubMed]
- Foster, C.; Florhaug, J.A.; Franklin, J.; Gottschall, L.; Hrovatin, L.A.; Parker, S.; Doleshal, P.; Dodge, C. A new approach to monitoring exercise training. J. Strength Cond. Res. 2001, 15, 109–115. [Google Scholar]
- Freitas, V.H.; Nakamura, F.Y.; Miloski, B.; Samulski, D.; Bara-Filho, M.G. Sensitivity of physiological and psychological markers to training load intensification in volleyball players. J. Sports Sci. Med. 2014, 13, 571–579. [Google Scholar] [PubMed]
- Bara Filho, M.G.; Andrade, F.C.D.; Nogueira, R.A.; Nakamura, F.Y. Comparação de diferentes métodos de controle da carga interna em jogadores de voleibol. Rev. Bras. Med. Esporte 2013, 19, 143–146. [Google Scholar] [CrossRef]
- Andrade, D.M.; Fernandes, G.; Miranda, R.; Coimbra, D.R.; Bara Filho, M.G. Training Load and Recovery in Volleyball During a Competitive Season. J. Strength Cond. Res. 2021, 35, 1082–1088. [Google Scholar] [CrossRef] [PubMed]
- Lima, R.F.; Silva, A.; Afonso, J.; Castro, H.; Clemente, F.M. External and internal Load and their Effects on Professional Volleyball Training. Int. J. Sports Med. 2020, 41, 468–474. [Google Scholar] [CrossRef]
- Aoki, M.S.; Arruda, A.F.; Freitas, C.G.; Miloski, B.; Marcelino, P.R.; Drago, G.; Drago, M.; Moreira, A. Monitoring training loads, mood states, and jump performance over two periodized training mesocycles in elite young volleyball players. Int. J. Sports Sci. Coach. 2017, 12, 130–137. [Google Scholar] [CrossRef] [Green Version]
- Debien, P.B.; Mancini, M.; Coimbra, D.R.; de Freitas, D.G.; Miranda, R.; Bara Filho, M.G. Monitoring Training Load, Recovery, and Performance of Brazilian Professional Volleyball Players During a Season. Int. J. Sports Physiol. Perform. 2018, 13, 1182–1189. [Google Scholar] [CrossRef]
- Lima, R.F.; Palao, J.M.; Clemente, F.M. Jump Performance During Official Matches in Elite Volleyball Players: A case Study. J. Hum. Kinet. 2019, 67, 259–269. [Google Scholar] [CrossRef] [Green Version]
- Lehnert, M.; Stejskal, P.; Háp, P.; Vavák, M. Load intensity in volleyball game like drills. Acta Univ. Palacki. Olomuc. Gymnica 2008, 38, 53–58. [Google Scholar]
- Hollis, J.L.; Sutherland, R.; Williams, A.J.; Campbell, E.; Nathan, N.; Wolfenden, L.; Morgan, P.J.; Lubans, D.R.; Gillham, K.; Wiggers, J. A systematic review and meta-analysis of moderate-to-vigorous physical activity levels in secondary school physical education lessons. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 34–54. [Google Scholar] [CrossRef]
- Borg, G. Perceived Exertion and Pain Scales; Human Kinetics: Champaign, IL, USA, 1998. [Google Scholar]
- Clemente, F.M.; Silva, A.F.; Clark, C.C.; Conte, D.; Ribeiro, J.; Mendes, B.; Lima, R. Analyzing the seasonal changes and relationships in training load and wellness in elite volleyball players. Int. J. Sports Physiol. Perform. 2020, 15, 731–740. [Google Scholar] [CrossRef] [PubMed]
- Delecroix, B.; McCall, A.; Dawson, B.; Berthoin, S.; Dupont, G. Workload and non-contact injury incidence in elite football players competing in European leagues. Eur. J. Sport Sci. 2018, 18, 1280–1287. [Google Scholar] [CrossRef] [PubMed]
- Rodríguez-Marroyo, J.A.; Medina, J.; García-López, J.; García-Tormo, J.V.; Foster, C. Correspondence between training load executed by volleyball players and the one observed by coaches. J. Strength Cond. Res. 2014, 28, 1588–1594. [Google Scholar] [CrossRef] [PubMed]
- Shariat, A.; Cleland, J.A.; Danaee, M.; Alizadeh, R.; Sangelaji, B.; Kargarfard, M.; Ansari, N.N.; Sepehr, F.H.; Tamrin, S.B.M. Borg CR-10 scale as a new approach to monitoring office exercise training. Work 2018, 60, 549–554. [Google Scholar] [CrossRef]
- Cabral, L.L.; Nakamura, F.Y.; Stefanello, J.M.F.; Pessoa, L.C.V.; Smirmaul, B.P.C.; Pereira, G. Initial Validity and Reliability of the Portuguese Borg Rating of Perceived Exertion 6–20 Scale. Meas. Phys. Educ. Exerc. Sci. 2020, 24, 103–114. [Google Scholar] [CrossRef]
- Charlton, P.C.; Kenneally-Dabrowski, C.; Sheppard, J.; Spratford, W. A simple method for quantifying jump loads in volleyball athletes. J. Sci. Med. Sport 2017, 20, 241–245. [Google Scholar] [CrossRef]
- Skazalski, C.; Whiteley, R.; Bahr, R. High jump demands in professional volleyball—Large variability exists between players and player positions. Scand. J. Med. Sci. Sport 2018, 28, 2293–2298. [Google Scholar] [CrossRef]
- Teixeira, C.V.L.S.; Evangelista, A.L.; Pereira, P.E.D.A.; Da Silva-Grigoletto, M.E.; Bocalini, D.S.; Behm, D.G. Complexity: A Novel Load Progression Strategy in Strength Training. Front. Physiol. 2019, 10, 839. [Google Scholar] [CrossRef] [Green Version]
- Lima, R.F.; Andrés, J.M.P.; Castro, H.; Clemente, F. Measuring the training external jump load of elite male volleyball players: An exploratory study in Portuguese League. Retos Nuevas Tend. Educ. Física Deporte Recreación 2019, 2041, 454–458. [Google Scholar]
- Kellmann, M.; Bertollo, M.; Bosquet, L.; Brink, M.; Coutts, A.J.; Duffield, R.; Erlacher, D.; Halson, S.L.; Hecksteden, A.; Heidari, J.; et al. Recovery and Performance in Sport: Consensus Statement. Int. J. Sports Physiol. Perform. 2018, 13, 240–245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Clemente, F.M.; Mendes, B.; Palao, J.M.; Silvério, A.; Carriço, S.; Calvete, F.; Nakamura, F.Y. Seasonal player wellness and its longitudinal association with internal training load: Study in elite volleyball load. J. Sports Med. Phys. Fit. 2018, 59, 345–351. [Google Scholar] [CrossRef] [PubMed]
- Mendes, F.G.; Lima, A.B.; Christofoletti, M.; Quinaud, R.T.; Collet, C.; Gonçalves, C.E.; Carvalho, H.M. Multidimensional characteristics of young Brazilian volleyball players: A Bayesian multilevel analysis. PLoS ONE 2021, 16, e0250953. [Google Scholar] [CrossRef] [PubMed]
- Mendes, B.; Palao, J.M.; Silvério, A.; Owen, A.; Carriço, S.; Calvete, F.; Clemente, F.M. Daily and weekly training load and wellness status in preparatory, regular and congested weeks: A season-long study in elite volleyball players. Res. Sport Med. 2018, 26, 462–473. [Google Scholar] [CrossRef] [PubMed]
- Sheppard, J.; Newton, R. Long-term training adaptations in elite male volleyball players. J. Strength Cond. Res. 2012, 26, 2180–2184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Moreira, A.; Freitas, C.G.; Nakamura, F.Y.; Drago, G.; Drago, M.; Aoki, M.S. Effect of Match Importance on Salivary Cortisol and Immunoglobulin A Responses in Elite Young Volleyball Players. J. Strength Cond. Res. 2013, 27, 202–207. [Google Scholar] [CrossRef]
- Duarte, T.S.; Coimbra, D.R.; Miranda, R.; Toledo, H.C.; Werneck, F.Z.; De Freitas, D.G.S.; Filho, M.G.B. Monitoring Training Load And Recovery In Volleyball Players During A Season. Rev. Bras. Med. Esporte 2019, 25, 226–229. [Google Scholar] [CrossRef]
- Mendes, B.; Clemente, F.M.; Calvete, F.; Carriço, S.; Owen, A. Seasonal Training Load Monitoring Among Elite Level Soccer Players: Perceived Exertion and Creatine Kinase Variations Between Microcycles. J. Hum. Kinet. 2022, 81, 85–95. [Google Scholar] [CrossRef]
- Timoteo, T.F.; Seixas, M.B.; Almeida Falci, M.F.; Debien, P.B.; Miloski, B.; Miranda, R.; Bara Filho, M.G. Impact of consecutive games on workload, state of recovery and well-being of professional volleyball players. J. Exerc. Physiol. 2017, 20, 130–140. [Google Scholar]
- Horta, T.A.; Bara Filho, M.G.; Coimbra, D.R.; Miranda, R.; Werneck, F.Z. Training Load, Physical Performance, Biochemical Markers, and Psychological Stress During a Short Preparatory Period in Brazilian Elite Male Volleyball Players. J. Strength Cond. Res. 2019, 33, 3392–3399. [Google Scholar] [CrossRef]
- Ungureanu, A.N.; Lupo, C.; Boccia, G.; Brustio, P.R. Internal Training Load Affects Day-After-Pretraining Perceived Fatigue in Female Volleyball Players. Int. J. Sports Physiol. Perform. 2021, 16, 1844–1850. [Google Scholar] [CrossRef]
- Kelly, V.G.; Coutts, A.J. Planning and Monitoring Training Loads During the Competition Phase in Team Sports. Strength Cond. J. 2007, 29, 32–37. [Google Scholar] [CrossRef]
- Moreira, A.; Kempton, T.; Saldanha Aoki, M.; Sirotic, A.C.; Coutts, A.J. The Impact of 3 Different-Length Between-Matches Microcycles on Training Loads in Professional Rugby League Players. Int. J. Sports Physiol. Perform. 2015, 10, 767–773. [Google Scholar] [CrossRef] [PubMed]
- Thiago, A.G.H.; Maurício, G.; Bara, F.; Bernardo, M.; Daniel, G.S.; de Jefferson, F.M.V. Season Impact on the Technical and Physical Training Load in Professional Volleyball. Int. J. Sport Exerc. Med. 2021, 7, 1–8. [Google Scholar] [CrossRef]
- Doeven, S.H.; Brink, M.S.; Frencken, W.G.; Lemmink, K.A. Impaired Player–Coach Perceptions of Exertion and Recovery During Match Congestion. Int. J. Sports Physiol. Perform. 2017, 12, 1151–1156. [Google Scholar] [CrossRef] [Green Version]
Post-Hoc Comparison | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MD-5 | MD-4 | MD-3 | MD-2 | MD-1 | ANOVA | MD-5 vs. MD-4 | MD-5 vs. MD-3 | MD-5 vs. MD-2 | MD-5 vs. MD-1 | MD-4 vs. MD-3 | MD-4 vs. MD-2 | MD-4 vs. MD-1 | MD-3 vs. MD-2 | MD-3 vs. MD-1 | MD-2 vs. MD-1 | |
Rate of Perceived exertion (U.A) | 7.47 ± 0.87 | 6.95 ± 0.76 | 6.85 ± 0.60 | 6.78 ± 0.66 | 6.33 ± 0.58 | p = 0.01 * η2 = 0.36 | p = 0.05 * d = 0.77 | p = 0.001 ** d = 1.06 | p = 0.01 * d = 1.12 | p = 0.001 ** d = 1.96 | p = 0.53 d = 0.22 | p = 0.23 d = 0.33 | p = 0.001 ** d = 1.33 | p = 0.56 d = 0.17 | p = 0.001 ** d = 1.51 | p = 0.001 ** d = 1.17 |
Session RPE (U.A) | 730.73 ± 110.57 | 593.26 ± 59.94 | 592.52 ± 65.15 | 550.89 ± 62.11 | 487.73 ± 44.18 | p = 0.001 ** η2 = 0.72 | p = 0.05 * d = 0.78 | p = 0.001 ** d = 1.06 | p = 0.01 * d = 1.12 | p = 0.001 ** d = 1.96 | p = 0.53 d = 0.22 | p = 0.23 d = 0.33 | p = 0.001 ** d = 1.33 | p = 0.56 d = 0.17 | p = 0.001 ** d = 1.51 | p = 0.001 ** d = 1.17 |
Jump Heigh Average (cm) | 48.81 ± 7.11 | 50.76 ± 7.72 | 51.83 ± 7.92 | 52.31 ± 8.62 | 52.60 ± 7.69 | p = 0.02 * η2 = 0.30 | p = 0.13 d = −0.04 | p = 0.05 * d = −0.05 | p = 0.03 * d = −0.06 | p = 0.001 ** d = −0.07 | p = 0.03 * d = −0.02 | p = 0.13 d = −0.02 | p = 0.03 * d = −0.03 | p = 0.56 d = −0.01 | p = 0.35 d = −0.01 | p = 0.72 d = −0.00 |
Minimum jump (cm) | 16.27 ± 2.11 | 16.33 ± 1.84 | 16.69 ± 2.25 | 17.20 ± 3.37 | 16.90 ± 2.26 | p = 0.24 η2 = 0.12 | p = 0.78 d = 0.00 | p = 0.13 d = −0.01 | p = 0.82 d = 0.00 | p = 0.82 d = 0.00 | p = 0.25 d = −0.01 | p = 0.88 d = 0.00 | p = 0.96 d = 0.00 | p = 0.22 d = 0.01 | p = 0.23 d = 0.01 | p = 0.97 d = 0.00 |
Maximal jump (cm) | 84.99 ± 15.21 | 85.38 ± 12.27 | 86.71 ± 13.11 | 85.28 ± 11.71 | 85.33 ± 12.45 | p = 0.55 η2 = 0.06 | p = 0.001 ** d = 0.02 | p = 0.001 ** d = 0.02 | p = 0.001 ** d = 0.02 | p = 0.001 ** d = 0.03 | p = 0.95 d = 0.00 | p = 0.02 * d = 0.01 | p = 0.001 ** d = 0.04 | p = 0.05 * d = 0.01 | p = 0.001 ** d = 0.03 | p = 0.001 ** d = 0.02 |
Range jump(cm) | 68.72 ± 15.59 | 69.05 ± 12.53 | 70.02 ± 13.39 | 68.08 ± 12.53 | 68.43 ± 12.62 | p = 0.54 η2 = 0.06 | p = 0.81 d = 0.00 | p = 0.18 d = −0.01 | p = 0.64 d = 0.00 | p = 0.85 d = 0.00 | p = 0.44 d = −0.01 | p = 0.39 d = 0.01 | p = 0.56 d = 0.00 | p = 0.13 d = 0.01 | p = 0.19 d = 0.01 | p = 0.80 d = 0.00 |
Number of jumps (n) | 104.12 ± 32.67 | 102.08 ± 31.02 | 98.55 ± 29.28 | 93.57 ± 27.20 | 83.36 ± 18.55 | p = 0.02 * η2 = 0.30 | p = 0.81 d = 0.00 | p = 0.53 d = 0.01 | p = 0.14 d = 0.01 | p = 0.001 ** d = 0.03 | p = 0.37 d = 0.00 | p = 0.03 * d = 0.01 | p = 0.001 ** d = 0.03 | p = 0.15 d = 0.01 | p = 0.001 ** d = 0.02 | p = 0.001 ** d = 0.02 |
Density (n of jumps/time of training session) | 1.06 ± 0.32 | 1.20 ± 0.37 | 1.18 ± 0.34 | 1.18 ± 0.34 | 1.10 ± 0.24 | p = 0.09 η2 = 0.19 | p = 0.07 d = −1.13 | p = 0.12 d = −1.09 | p = 0.08 d = −1.11 | p = 0.47 d = −0.48 | p = 0.67 d = 0.16 | p = 0.63 d = 0.14 | p = 0.12 d = 0.91 | p = 0.92 d = −0.02 | p = 0.12 d = 0.85 | p = 0.08 d = 0.88 |
R | R2 | Adjusted R2 | F | P | SE | ||
---|---|---|---|---|---|---|---|
Rate of Perceived Exertion-4 | Maximal Jump-4 | 0.58 | 0.34 | 0.27 | 5.24 | 0.04 * | 0.25 |
Maximal Jump-3 | 0.63 | 0.40 | 0.34 | 6.79 | 0.02 * | 0.24 | |
Maximal Jump-1 | 0.64 | 0.41 | 0.36 | 7.22 | 0.02 * | 0.24 | |
Range Jump-3 | 0.58 | 0.33 | 0.27 | 5.11 | 0.04 * | 0.25 | |
Range Jump-1 | 0.62 | 0.38 | 0.32 | 6.26 | 0.03 * | 0.24 | |
Session RPE-4 | Maximal Jump-5 | 0.59 | 0.35 | 0.28 | 5.46 | 0.04 * | 0.25 |
Maximal Jump-4 | 0.62 | 0.39 | 0.33 | 6.42 | 0.03 * | 0.24 | |
Maximal Jump-3 | 0.66 | 0.44 | 0.38 | 7.96 | 0.02 * | 0.18 | |
Maximal Jump-1 | 0.58 | 0.34 | 0.28 | 5.29 | 0.04 * | 0.26 | |
Range Jump-5 | 0.59 | 0.34 | 0.28 | 5.33 | 0.04 * | 0.25 | |
Range Jump-4 | 0.59 | 0.35 | 0.29 | 5.56 | 0.04 * | 0.25 | |
Range Jump-3 | 0.63 | 0.40 | 0.34 | 6.91 | 0.02 * | 0.24 | |
Range Jump-1 | 0.60 | 0.36 | 0.30 | 5.71 | 0.04 * | 0.25 |
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Lima, R.F.; González Férnandez, F.T.; Silva, A.F.; Laporta, L.; de Oliveira Castro, H.; Matos, S.; Badicu, G.; Pereira, G.A.; De Conti Teixeira Costa, G.; Clemente, F.M. Within-Week Variations and Relationships between Internal and External Intensities Occurring in Male Professional Volleyball Training Sessions. Int. J. Environ. Res. Public Health 2022, 19, 8691. https://doi.org/10.3390/ijerph19148691
Lima RF, González Férnandez FT, Silva AF, Laporta L, de Oliveira Castro H, Matos S, Badicu G, Pereira GA, De Conti Teixeira Costa G, Clemente FM. Within-Week Variations and Relationships between Internal and External Intensities Occurring in Male Professional Volleyball Training Sessions. International Journal of Environmental Research and Public Health. 2022; 19(14):8691. https://doi.org/10.3390/ijerph19148691
Chicago/Turabian StyleLima, Ricardo Franco, 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, and Filipe Manuel Clemente. 2022. "Within-Week Variations and Relationships between Internal and External Intensities Occurring in Male Professional Volleyball Training Sessions" International Journal of Environmental Research and Public Health 19, no. 14: 8691. https://doi.org/10.3390/ijerph19148691