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Effect of listening to music on repeated-sprint performance and affective load in young male and female soccer players

  • Mohamed TounsiEmail author
  • Hamdi Jaafar
  • Asma Aloui
  • Zouhair Tabka
  • Yassine Trabelsi
Original Article
  • 33 Downloads

Abstract

Purpose

The aim of the current study was to compare the effect of listening to music during warming-up on repeated-sprint performance and affective load in young male and female soccer players.

Methods

33 Tunisian highly trained soccer players [19 men (age: 17 ± 0.3 years, BMI: 21.9 ± 1.4 kg m− 2) and 14 women (age: 17 ± 0.2 years, BMI: 21.3 ± 3.5 kg m− 2)] took part in two experimental sessions with or without listening to music during warming-up. High-tempo music (> 130–140 bpm) was chosen. The players then performed a repeated-sprint test (six 40-m sprints with 180° direction change interspersed with a 20-s passive recovery period). Best and mean sprint times, performance decrement, as well as affective load scores were measured.

Results

The analysis of variance for repeated measures revealed a significant improvement in best and mean time only in females (P < 0.05). Moreover, no significant effect of music was observed on performance decrement and affective load in both males and females (all P > 0.05).

Conclusions

Female academy soccer players seemed to derive the greatest benefit from motivational music during repeated-sprint exercise compared to their male counterparts.

Keywords

Performance Motivation Sex 

Notes

Acknowledgements

The authors would like to thank all the participants of this research for their valuable time and contribution. Many thanks are due to Dr. Davide Malatesta (University of Lausanne) for his critical and helpful discussion during the preparation of the manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the Institutional Review Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

References

  1. 1.
    Noakes TD, St Clair Gibson A, Lambert EV (2005) From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans : summary and conclusions. Br J Sports Med 39(2):120–124CrossRefGoogle Scholar
  2. 2.
    Gibson ASC, Noakes TD (2004) Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans. Br J Sports Med 38(6):797–806CrossRefGoogle Scholar
  3. 3.
    Gibson ASC, Lambert EV, Rauch LH, Tucker R, Baden DA, Foster C, Noakes TD (2006) The role of information processing between the brain and peripheral physiological systems in pacing and perception of effort. Sports Med 36(8):705–722CrossRefGoogle Scholar
  4. 4.
    Billaut F, Bishop DJ, Schaerz S, Noakes TD (2011) Influence of knowledge of sprint number on pacing during repeated-sprint exercise. Med Sci Sports Exerc 43(4):665–672CrossRefGoogle Scholar
  5. 5.
    Chtourou H, Chaouachi A, Hammouda O, Chamari K, Souissi N (2012) Listening to music affects diurnal variation in muscle power output. Int J Sports Med 33(1):43–47CrossRefGoogle Scholar
  6. 6.
    Eliakim M, Meckel Y, Nemet D, Eliakim A (2007) The effect of music during warm-up on consecutive anaerobic performance in elite adolescent volleyball players. Int J Sports Med 28(4):321–325CrossRefGoogle Scholar
  7. 7.
    Coudrat L, Rouis M, Jaafar H, Attiogbé E, Gélat T, Driss T (2014) Emotional pictures impact repetitive sprint ability test on cycle ergometre. J Sports Sci 32(9):892–900CrossRefGoogle Scholar
  8. 8.
    Jaafar H, Rouis M, Coudrat L, Gélat T, Noakes TD, Driss T (2015) Influence of affective stimuli on leg power output and associated neuromuscular parameters during repeated high intensity cycling exercises. PLoS One 10(8):e0136330CrossRefGoogle Scholar
  9. 9.
    Barwood MJ, Weston NJ, Thelwell R, Page J (2009) A motivational music and video intervention improves high-intensity exercise performance. J Sports Sci Med 8(3):435–442PubMedPubMedCentralGoogle Scholar
  10. 10.
    Karageorghis CI, Priest DL, Terry PC, Chatzisarantis NL, Lane AM (2006) Redesign and initial validation of an instrument to assess the motivational qualities of music in exercise: the Brunel Music Rating Inventory-2. J Sports Sci 24(8):899–909CrossRefGoogle Scholar
  11. 11.
    Eliakim M, Bodner E, Eliakim A, Nemet D, Meckel Y (2012) Effect of motivational music on lactate levels during recovery from intense exercise. J Strength Cond Res 26(1):80–86CrossRefGoogle Scholar
  12. 12.
    Chtourou H, Jarraya M, Aloui A, Hammouda O, Souissi N (2012) The effects of music during warm-up on anaerobic performances of young sprinters. Sci Sports 27(6):e85–e88CrossRefGoogle Scholar
  13. 13.
    Chtourou H, Hmida C, Souissi N (2017) Effect of music on short-term maximal performance: sprinters vs. long distance runners. Sport Sci Health 13(1):213–216CrossRefGoogle Scholar
  14. 14.
    Jarraya M, Chtourou H, Aloui A, Hammouda O, Chamari K, Chaouachi A, Souissi N (2012) The effects of music on high-intensity short-term exercise in well trained athletes. Asian J Sport Med 3:233–238CrossRefGoogle Scholar
  15. 15.
    Atan T (2013) Effect of music on anaerobic exercise performance. Biol Sport 30(1):35–39CrossRefGoogle Scholar
  16. 16.
    Pujol TJ, Langenfeld ME (1999) Influence of music on Wingate Anaerobic Test performance. Percept Mot Skills 88(1):292–296CrossRefGoogle Scholar
  17. 17.
    Loizou G, Karageorghis CI (2015) Effects of psychological priming, video, and music on anaerobic exercise performance. Scand J Med Sci Sports 25(6):909–920CrossRefGoogle Scholar
  18. 18.
    Yamamoto T, Ohkuwa T, Itoh H, Kitoh M, Terasawa J, Tsuda T, Kitagawa S, Sato Y (2003) Effects of pre-exercise listening to slow and fast rhythm music on supramaximal cycle performance and selected metabolic variables. Arch Physiol Biochem 111(3):211–214CrossRefGoogle Scholar
  19. 19.
    Bradley MM, Codispoti M, Cuthbert BN, Lang PJ (2001) Emotion and motivation I: defensive and appetitive reactions in picture processing. Emotion 1(3):276–298CrossRefGoogle Scholar
  20. 20.
    Lithari C, Frantzidis CA, Papadelis C, Vivas AB, Klados MA, Kourtidou-Papadeli C, Pappas C, Ioannides AA, Bamidis PD (2010) Are females more responsive to emotional stimuli ? A neurophysiological study across arousal and valence dimensions. Brain Topogr 23(1):27–40CrossRefGoogle Scholar
  21. 21.
    Bianchin M, Angrilli A (2012) Gender differences in emotional responses: a psychophysiological study. Physiol Behav 105(4):925–932CrossRefGoogle Scholar
  22. 22.
    Kring AM, Gordon AH (1998) Sex differences in emotion: expression, experience, and physiology. J Pers Soc Psychol 74(3):686–703CrossRefGoogle Scholar
  23. 23.
    Lang PJ, Kozak MJ, Miller GA, Levin DN, McLean A Jr (1980) Emotional imagery: conceptual structure and pattern of somato-visceral response. Psychophysiology 17(2):179–192CrossRefGoogle Scholar
  24. 24.
    Bradley MM, Cuthbert BN, Lang PJ (1996) Picture media and emotion: effects of a sustained affective context. Psychophysiology 33(6):662–670CrossRefGoogle Scholar
  25. 25.
    Davies JA, Brewer J (1993) Applied physiology of female soccer players. Sports Med 16:180–189CrossRefGoogle Scholar
  26. 26.
    Perroni F, Gallotta MC, Pisano S, Reis VM, Emerenziani GP, Guidetti L, Baldari C (2018) Gender differences in anthropometric parameters and technical performance of youth soccer players. Sport Sci Health 14(2):399–405CrossRefGoogle Scholar
  27. 27.
    Perroni F, Pintus A, Frandino M, Guidetti L, Baldari C (2018) Relationship among repeated sprint ability, chronological age, and puberty in young soccer players. J Strength Cond Res 32(2):364–371PubMedGoogle Scholar
  28. 28.
    Brownley KA, McMurray RG, Hackney AC (1995) Effects of music on physiological and affective responses to graded treadmill exercise in trained and untrained runners. Int J Psychophysiol 19(3):193–201CrossRefGoogle Scholar
  29. 29.
    Rampinini E, Bishop D, Marcora SM, Bravo DF, Sassi R, Impellizzeri FM (2007) Validity of simple field tests as indicators of match-related physical performance in top-level professional soccer players. Int J Sports Med 28(3):228–235CrossRefGoogle Scholar
  30. 30.
    Borg GA (1982) Psychophysical bases of perceived exertion. Med Sci Sports Exerc 14(5):377–381CrossRefGoogle Scholar
  31. 31.
    Baron B, Moullan F, Deruelle F, Noakes TD (2011) The role of emotions on pacing strategies and performance in middle and long duration sport events. Br J Sports Med 45(6):511–517CrossRefGoogle Scholar
  32. 32.
    Chtourou H, Briki W, Aloui A, Driss T, Souissi N, Chaouachi A (2015) Relation entre musique et performance sportive: vers une perspective complexe et dynamique. Sci Sports 30(3):119–125CrossRefGoogle Scholar
  33. 33.
    Möckel M, Röcker L, Störk T, Vollert J, Danne O, Eichstädt H, Müller R, Hochrein H (1994) Immediate physiological responses of healthy volunteers to different types of music: cardiovascular, hormonal and mental changes. Eur J Appl Physiol Occup Physiol 68(6):451–459CrossRefGoogle Scholar
  34. 34.
    Jaafar H, Rouis M, Coudrat L, Attiogbé E, Vandewalle H, Driss T (2014) Effects of load on Wingate test performances and reliability. J Strength Cond Res 28(12):3462–3468CrossRefGoogle Scholar
  35. 35.
    Jaafar H, Rouis M, Attiogbé E, Vandewalle H, Driss T (2016) A comparative study between the Wingate and force-velocity anaerobic cycling tests: effect of physical fitness. Int J Sports Physiol Perform 11(1):48–54CrossRefGoogle Scholar
  36. 36.
    Crust L (2008) Perceived importance of components of asynchronous music during circuit training. J Sports Sci 26(14):1547–1555CrossRefGoogle Scholar
  37. 37.
    Karageorghis CI, Priest DL, Williams LS, Hirani RM, Lannon KM, Bates BJ (2010) Ergogenic and psychological effects of synchronous music during circuit-type exercise. Psychol Sport Exerc 11(6):551–559CrossRefGoogle Scholar
  38. 38.
    Priest DL, Karageorghis CI, Sharp NC (2004) The characteristics and effects of motivational music in exercise settings: the possible influence of gender, age, frequency of attendance, and time of attendance. J Sports Med Phys Fitness 44(1):77–86PubMedGoogle Scholar
  39. 39.
    Dent JR, Edge JA, Hawke E, McMahon C, Mündel T (2015) Sex differences in acute translational repressor 4E-BP1 activity and sprint performance in response to repeated-sprint exercise in team sport athletes. J Sci Med Sport 18(6):730–736CrossRefGoogle Scholar
  40. 40.
    Laurent CM, Green JM, Bishop PA, Sjökvist J, Schumacker RE, Richardson MT, Curtner-Smith M (2010) Effect of gender on fatigue and recovery following maximal intensity repeated sprint performance. J Sports Med Phys Fitness 50(3):243–253PubMedGoogle Scholar
  41. 41.
    Bishop D, Edge J, Goodman C (2004) Muscle buffer capacity and aerobic fitness are associated with repeated-sprint ability in women. Eur J Appl Physiol 92(4–5):540–547PubMedGoogle Scholar
  42. 42.
    Mannion AF, Jakeman PM, Dunnett M, Harris RC, Willan PLT (1992) Carnosine and anserine concentrations in the quadriceps femoris muscle of healthy humans. Eur J Appl Physiol Occup Physiol 64(1):47–50CrossRefGoogle Scholar
  43. 43.
    Kilpatrick M, Kraemer R, Bartholomew J, Acevedo E, Jarreau D (2007) Affective responses to exercise are dependent on intensity rather than total work. Med Sci Sports Exerc 39(8):1417–1422CrossRefGoogle Scholar
  44. 44.
    Smith JC, O’Connor PJ (2003) Physical activity does not disturb the measurement of startle and corrugator responses during affective picture viewing. Biol Psychol 63(3):293–310CrossRefGoogle Scholar
  45. 45.
    Tian Q, Smith JC (2011) Attentional bias to emotional stimuli is altered during moderate- but not high-intensity exercise. Emotion 11(6):1415–1424CrossRefGoogle Scholar
  46. 46.
    Selmi MA, Haj Sassi R, Haj Yahmed M, Giannini S, Perroni F, Elloumi M (2018) Normative data and physical determinants of multiple sprint sets in young soccer players aged 11–18 years: effect of maturity status. J Strength Cond Res (in press)Google Scholar

Copyright information

© Springer-Verlag Italia S.r.l., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Physiology and Lung Function Testing, Faculty of Medicine Ibn-El-JazzarUniversity of SousseSousseTunisia
  2. 2.Institut du Savoir Montfort-RechercheOttawaCanada
  3. 3.Faculty of Medicine, Biochemistry, Microbiology and Immunology DepartmentUniversity of OttawaOttawaCanada
  4. 4.High Institute of Sport and Physical EducationUniversity of GafsaGafsaTunisia

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