Workload management strategies in football: A global survey project

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Published Jan 26, 2024
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Vol. 101 No. 11 (2023): Tunis Med nov

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Mohamed Saifedine Fessi
Research Laboratory: Education, Motricity, Sport and Health, R19JS01, University of Sfax, Sfax, Tunisia.
Helmi Ben Saad
"Heart Failure "Research Laboratory, LR12SP09, Farhat Hached Hospital, University of Sousse, Tunisia
Rafael Franco Soares Oliveira
Sports Science School of Rio Maior – Polytechnic Institute of Santarem, 2040–413 Rio Maior, Santarém, Portugal/ Research Centre in Sports Sciences, Health and Human Development, 5001–801 Vila Real, Portugal / Life Quality Research Centre, 2040–413 Rio Maior, Portugal
https://orcid.org/0000-0001-6671-6229
Jad Adrian Washif
Sports Performance Division, Institut Sukan Negara Malaysia (National Sports Institute of Malaysia), Kuala Lumpur, Malaysia.
Karim Chamari
Aspetar, Orthopaedic and Sports Medicine Hospital, FIFA Medical Centre of Excellence, Doha, Qatar.
https://orcid.org/0000-0001-9178-7678
Wassim Moalla
Research Laboratory: Education, Motricity, Sport and Health, R19JS01, University of Sfax, Sfax, Tunisia.

Abstract

Aim. This research design protocol outlines the methodology for a thorough evaluation of workload monitoring and management strategies in football.


Methods. The study involves conducting a global survey to fitness coaches, sports scientists, analysts, and physicians with experience in load monitoring within football. The research adheres to the principles of the Helsinki Declaration and complies with General Data Protection Regulation standards, with ethical approvals obtained from multiple Ethics Committees across various countries, including Tunisia. A consortium of professionals collaboratively crafted the survey instrument, dividing it into seven sections, each addressing specific aspects of workload monitoring in football. Survey reliability will undergo evaluation in a pilot study utilizing Cronbach's alpha and intraclass correlation coefficient. To ensure inclusivity, the survey will be translated into multiple languages, facilitating participation from diverse regions. As such, survey distribution will consider online platforms (such as social media) and email invitations, with a specific focus on engaging football clubs, federations, and professional networks. The targeted sample size will remain at 385 participants. Statistical analysis planning encompasses descriptive examination, exploration of variable relationships, hypothesis testing, and qualitative analyses of participant feedback and recommendations regarding load monitoring practices.


Expected results. Expected outcomes include i) A comprehensive global overview of training and match load monitoring practices in football, ii) The identification of emerging trends, an improved understanding of training optimization processes, and iii) The development of practical recommendations to enhance player well-being and performance.


Conclusion. This study will contribute to the ongoing development ....( abstract truncated at 250 words)

Keywords:

Exercise Physiology, Monitoring, Player performance , Sport science , Training load

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Author Biography

Helmi Ben Saad, "Heart Failure "Research Laboratory, LR12SP09, Farhat Hached Hospital, University of Sousse, Tunisia

  • Professor of Physiology and Functional Explorations at the Faculty of Medicine of Sousse - Tunisia, Department of Physiology and Functional Explorations at EPS Farhat HACHED - Sousse - Tunisia.
  • President of the College of Physiology and Functional Explorations (terms: 2014-2017; 2021-2023).
  • Master's degree in Biological and Medical Sciences from the University of Montpellier I, France.
  • World expert in spirometry (ranked 1st in Africa): https://expertscape.com/ex/spirometry/c/afr.
  • Diploma of Advanced Studies in "Human Movement Sciences" from the University of Montpellier I, France.
  • Interuniversity Diploma "Pathophysiology of Exercise and Functional Exercise Explorations" from the University of Montpellier 1, France.
  • International PhD in Sciences between the Universities of Montpellier I (France) and Monastir (Tunisia).
  • European Spirometry Driving License Part 1 (theory only) and the European Spirometry Training Program (Part 2: knowledge and competence in practice) and the European Spirometry train-the-trainer course.
  • Invited speaker at numerous international congresses on respiratory functional explorations.
  • Author of over 220 scientific articles in indexed and impact factor journals.
  • Potential reviewer for over 80 indexed and impact factor journals and potential external reviewer for the University of Cape Town (South Africa) and Mutah (Jordan).
  • Winner of the Sadok BESROUR Award for Excellence in Medical Research (2021).
  • Web:
  1. http://scholar.google.fr/citations?hl=fr&user=oeV_0OwAAAAJ&view_op=list_works&sortby=pubdatehttp://www.researchgate.net/profile/Helmi_Ben_Saad
  2. https://publons.com/author/602231/helmi-ben-saad#profile
  3. https://www.researchgate.net/profile/Helmi_Ben_Saad

References

  1. Akenhead R, Nassis GP. Training load and player monitoring in high-level football: Current practice and perceptions. Int J Sports Physiol Perform. 2016;11(5):587-593.
  2. McCall A, Carling C, Davison M, Nedelec M, Le Gall F, Berthoin S, Dupont G. Injury risk factors, screening tests and preventative strategies: A systematic review of the evidence that underpins the perceptions and practices of 44 football (soccer) teams from various premier leagues. Br J Sports Med. 2015;49(9):583-589.
  3. Boujezza H, Sghaier A, Ben Rejeb M, Gargouri I, Latiri I, Ben Saad H. Effects of cold water immersion on aerobic capacity and muscle strength of young footballers. Tunis Med. 2018;96(2):107-112.
  4. Miguel M, Oliveira R, Loureiro N, García-Rubio J, Ibáñez SJ. Load measures in training/match monitoring in soccer: A systematic review. Int J Environ Res Public Health. 2021;18(5):2721.
  5. Shushan T, Norris D, McLaren SJ, Buchheit M, Scott TJ, Barrett S, Dello Iacono A, Lovell R. A worldwide survey on the practices and perceptions of submaximal fitness tests in team sports. Int J Sports Physiol Perform. 2023;18(7):765-779.
  6. Djaoui L, Haddad M, Chamari K, Dellal A. Monitoring training load and fatigue in soccer players with physiological markers. Physiol Behav. 2017;181:86-94.
  7. Masmoudi J, Trigui D, Feki I, Bâati I, Jaoua A. Athletic performance, self-esteem and temperamental profile: Which relationship? Tunis Med. 2015;93(3):175-180.
  8. De Fazio R, Mastronardi VM, De Vittorio M, Visconti P. Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: An overview. Sensors (Basel). 2023 Feb 7;23(4):1856.
  9. Bastida-Castillo A, Gómez-Carmona CD, De La Cruz Sánchez E, Pino-Ortega J. Comparing accuracy between global positioning systems and ultra-wideband-based position tracking systems used for tactical analyses in soccer. Eur J Sport Sci. 2019;19(9):1157-1165.
  10. Ball HL. About Research: Conducting online surveys. J Hum Lact. 2019;35(3):413-417.
  11. Savic LC, Smith AF. How to conduct a Delphi consensus process. Anaesthesia. 2023;78(2):247-250.
  12. Serhier Z, Bendahhou K, Ben Abdelaziz A, Bennani MO. Methodological sheet n°1: How to calculate the size of a sample for an observational study? Tunis Med. 2020;98(1):1-7.
  13. Wetzelhütter D. Scale-sensitive response behavior!? Consequences of offering versus omitting a "don’t know" option and/or a middle category. Survey Practice. 2020; 13:14484-13.
  14. Perneger TV, Courvoisier DS, Hudelson PM, Gayet-Ageron A. Sample size for pre-tests of questionnaires. Qual Life Res. 2015; 24:147-151.
  15. Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003; 80:1, 99-103.
  16. Jann B, Hinz T. Chapter 9: Research question and design for survey research. In: Wolf C, Joye D, Smith TW, Fu Y-C, eds. SAGE Handbook of survey methodology. 2016 SAGE. Publications Ltd, https://doi.org/10.4135/9781473957893
  17. Dergaa I, Chamari K, Zmijewski P, Ben Saad H. From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biol Sport. 2023 Apr;40(2):615-22.
  18. Dergaa I, Ben Saad H. Artificial Intelligence and promoting open access in academic publishing. Tun Med. 2023;101(06):533-6.