Effects of Presession Well-Being Perception on Internal Training Load in Female Volleyball Players

International Journal of Sports Physiology and Performance - Tập 16 Số 5 - Trang 622-627 - 2021

Alexandru Nicolae Ungureanu, Paolo Riccardo Brustio, Gennaro Boccia, Alberto Rainoldi, Corrado Lupo

Tóm tắt

Purpose: To evaluate if the internal training load (ITL; Edwards heart rate [HR]-based and session-rating of perceived exertion [RPE] methods) is affected by the presession well-being perception, age, and position in elite (ie, Serie A2) female volleyball training. Methods: Twelve female elite volleyball players (age: 22 [4] y, height: 1.80 [0.06] m, body mass: 74.1 [4.3] kg) were monitored using an HR monitor during 32 team training sessions (duration: 1:36:12 [0:22:24], in h:min:s). Linear mixed-effects models were applied to evaluate if well-being perception (ie, perceived sleep quality/disorders, stress level, fatigue, and delayed-onset muscle soreness) may affect ITL depending on age and tactical position. Results: Presession perceived fatigue influenced ITL according to the session-RPE (P = .032) but not according to the Edwards method. Age was inversely correlated to the Edwards method (P < .001) and directly correlated to the session-RPE (P = .027). Finally, central blockers experienced a higher training load than hitters (P < .001) and liberos (P < .001) for the Edwards method, as well as higher than hitters (P < .001), liberos (P = .003), and setters (P = .008) for session-RPE. Conclusions: Findings indicated that female volleyball players’ perceived ITL is influenced by presession well-being status, age, and position. Therefore, coaches can benefit from this information to specifically predict players’ ITL in relation to their individual characteristics.

Từ khóa

Tài liệu tham khảo

Robertson, 1982, Central signals of perceived exertion during dynamic exercise./Signaux centraux de l’ effort percu lors d’ un exercice dynamique, Med Sci Sport Exerc, 14, 390, 10.1249/00005768-198205000-00014

Lupo, 2014, The validity of the session-RPE method for quantifying training load in water polo, Int J Sports Physiol Perform, 9, 656, 10.1123/ijspp.2013-0297

Lupo, 2020, Session-RPE is a valuable internal load evaluation method in beach volleyball for both genders, elite and amateur players, conditioning and technical sessions, but limited for tactical training and games, Kinesiology, 52, 30, 10.26582/k.52.1.4

Batterham, 2006, Making meaningful inferences about magnitudes, Int J Sports Physiol Perform, 1, 50, 10.1123/ijspp.1.1.50

Edwards, 1994, The heart rate monitor book, Med Sci Sports Exerc, 26, 647, 10.1249/00005768-199405000-00020

Sheppard, 2009, An analysis of playing positions in elite men’s volleyball: considerations for competition demands and physiologic characteristics, J Strength Cond Res, 23, 1858, 10.1519/JSC.0b013e3181b45c6a

Mendes, 2018, Daily and weekly training load and wellness status in preparatory, regular and congested weeks: a season-long study in elite volleyball players, Res Sports Med, 26, 462, 10.1080/15438627.2018.1492393

Impellizzeri, 2004, Use of RPE-based training load in soccer, Med Sci Sports Exerc, 36, 1042, 10.1249/01.MSS.0000128199.23901.2F

Haddad, 2013, Influence of fatigue, stress, muscle soreness and sleep on perceived exertion during submaximal effort, Physiol Behav, 119, 185, 10.1016/j.physbeh.2013.06.016

Govus, 2018, Relationship between pretraining subjective wellness measures, player load, and rating-of-perceived-exertion training load in American College Football, Int J Sports Physiol Perform, 13, 95, 10.1123/ijspp.2016-0714

Hooper, 1995, Monitoring overtraining in athletes: recommendations, Sport Med, 20, 321, 10.2165/00007256-199520050-00003

Smith, 1992, Physical, physiological and performance differences between Canadian national team and universiade volleyball players, J Sports Sci, 10, 131, 10.1080/02640419208729915

Hooper, 1995, Monitoring overtraining in athletes: recommendations, Sport Med, 20, 321, 10.2165/00007256-199520050-00003

Lenth, 2019, Emmeans: estimated marginal means, aka least-squares means, R Packag version 115-15

Clemente, 2020, Analyzing the seasonal changes and relationships in training load and wellness in elite volleyball players, Int J Sports Physiol Perform, 15, 731, 10.1123/ijspp.2019-0251

Araújo, 2009, Relationship between block constraints and set outcome in elite male volleyball, Int J Perform Anal Sport, 9, 306, 10.1080/24748668.2009.11868487

Harmison, 2006, Peak performance in sport: identifying ideal performance states and developing athletes’ psychological skills, Prof Psychol Res Pract, 37, 233, 10.1037/0735-7028.37.3.233

Mielgo-Ayuso, 2017, Can psychological well-being scales and hormone levels be used to predict acute performance of anaerobic training tasks in elite female volleyball players?, Physiol Behav, 180, 31, 10.1016/j.physbeh.2017.08.008

Aoki, 2017, Monitoring training loads, mood states, and jump performance over two periodized training mesocycles in elite young volleyball players, Int J Sport Sci Coach, 12, 130, 10.1177/1747954116684394

Schwarz, 1978, Estimating the dimension of a model, Ann Stat, 6, 461, 10.1214/aos/1176344136

Harmison, 2006, Peak performance in sport: identifying ideal performance states and developing athletes’ psychological skills, Prof Psychol Res Pract, 37, 233, 10.1037/0735-7028.37.3.233

Lidor, 2010, Physical and physiological attributes of female volleyball players-a review, J Strength Cond Res, 24, 1963, 10.1519/JSC.0b013e3181ddf835

Bates, 2015, Fitting linear mixed-effects models using lme4, J Stat Softw, 67, 1, 10.18637/jss.v067.i01

Lidor, 2010, Physical and physiological attributes of female volleyball players-a review, J Strength Cond Res, 24, 1963, 10.1519/JSC.0b013e3181ddf835

Impellizzeri, 2004, Use of RPE-based training load in soccer, Med Sci Sports Exerc, 36, 1042, 10.1249/01.MSS.0000128199.23901.2F

Araújo, 2009, Relationship between block constraints and set outcome in elite male volleyball, Int J Perform Anal Sport, 9, 306, 10.1080/24748668.2009.11868487

Purkhús, 2016, High-intensity training improves exercise performance in elite women volleyball players during competitive season, J Strength Cond Res, 30, 3066, 10.1519/JSC.0000000000001408

Clemente, 2017, Internal training load and its longitudinal relationship with seasonal player wellness in elite professional soccer, Physiol Behav, 179, 262, 10.1016/j.physbeh.2017.06.021

EcheverrÍa, 2019, Evolution of reception efficacy and execution in women’s volleyball according to level of competition – a descriptive study aged from 14-year-old to adult professional players, Cent Eur J Sport Sci Med, 27, 55

Clemente, 2020, Analyzing the seasonal changes and relationships in training load and wellness in elite volleyball players, Int J Sports Physiol Perform, 15, 731, 10.1123/ijspp.2019-0251

Bara Filho, 2013, Comparison of different methods of internal load control in volleyball players, Rev Bras Med do Esporte, 19, 143, 10.1590/S1517-86922013000200015

Lupo, 2017, Session-RPE for quantifying the load of different youth basketball training sessions, Biol Sport, 34, 11, 10.5114/biolsport.2017.63381

Clemente, 2017, Internal training load and its longitudinal relationship with seasonal player wellness in elite professional soccer, Physiol Behav, 179, 262, 10.1016/j.physbeh.2017.06.021

Lupo, 2014, The validity of the session-RPE method for quantifying training load in water polo, Int J Sports Physiol Perform, 9, 656, 10.1123/ijspp.2013-0297

Batterham, 2006, Making meaningful inferences about magnitudes, Int J Sports Physiol Perform, 1, 50, 10.1123/ijspp.1.1.50

Bates, 2015, Fitting linear mixed-effects models using lme4, J Stat Softw, 67, 1, 10.18637/jss.v067.i01

Foster, 1995, Effects of specific versus cross-training on running performance, Eur J Appl Physiol Occup Physiol, 70, 367, 10.1007/BF00865035

Smith, 1992, Physical, physiological and performance differences between Canadian national team and universiade volleyball players, J Sports Sci, 10, 131, 10.1080/02640419208729915

Bara Filho, 2013, Comparison of different methods of internal load control in volleyball players, Rev Bras Med do Esporte, 19, 143, 10.1590/S1517-86922013000200015

Lupo, 2020, Player session rating of perceived exertion: a more valid tool than coaches’ ratings to monitor internal training load in elite youth female basketball, Int J Sports Physiol Perform, 15, 548, 10.1123/ijspp.2019-0248

de Freitas, 2015, Pre-competitive physical training and markers of performance, stress and recovery in young volleyball athletes, Rev Bras Cineantropometria e Desempenho Hum, 17, 31

Foster, 2001, A new approach to monitoring exercise training./Une Nouvelle approche pour conduire l’entrainement, J Strength Cond Res, 15, 109

Inkinen, 2014, Technical and tactical analysis of women’s volleyball, Biomed Hum Kinet, 5, 43, 10.2478/bhk-2013-0007