Next Article in Journal
Strength Assessment of Trunk Rotator Muscles: A Multicenter Reliability Study
Previous Article in Journal
Analysis of Driving Factors in the Intention to Use the Virtual Nursing Home for the Elderly: A Modified UTAUT Model in the Chinese Context
Previous Article in Special Issue
Lower Limb Unilateral and Bilateral Strength Asymmetry in High-Level Male Senior and Professional Football Players
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Load Monitoring and Its Relationship with Healthcare in Sports

by
Rafael Oliveira
1,2,3,* and
João Paulo Brito
1,2,3
1
Sports Science School of Rio Maior, Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal
2
Life Quality Research Centre, 2040-413 Rio Maior, Portugal
3
Research Centre in Sport Sciences, Health Sciences and Human Development, 5001-801 Vila Real, Portugal
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(16), 2330; https://doi.org/10.3390/healthcare11162330
Submission received: 3 August 2023 / Accepted: 10 August 2023 / Published: 18 August 2023
(This article belongs to the Special Issue Improving Athletes’ Performance and Avoiding Health Issues)
Load monitoring consists of training/match demand quantification as well as wellness and readiness to maximize the likelihood of optimal athletic performance [1]. The literature divides load into two dimensions: internal and external. Internal load is associated with psychophysiological demands that can be objectively and subjectively measured (e.g., heart rate and rating of perceived exertion, respectively) [2,3]. External load is associated with mechanical/locomotor demands, usually collected by global positioning systems, global navigation satellite systems, local positioning systems, and inertial measurement units that belong to micro-electro-mechanical systems (which provide a combination of 3D accelerometers, 3D gyroscopes, and 3D magnetometers). Despite different technologies, they provide external load measures, such as distances covered at various running speeds, accelerations, decelerations, player load, and others [2,3,4,5].
Indeed, there are other types of wearable technology that were considered to be among the top worldwide fitness trends in 2016 and 2017 [6]. Such technology (i.e., smartwatches and mobiles) allows for the quantification of different physical variables such as step counts, metabolic work, or power [7].
Another relevant dimension to monitor is the wellness/well-being of athletes, which is regularly collected by questionnaires that include different categories such as fatigue, quality of sleep, muscle soreness, mood, and stress [8,9]. For instance, a systematic review showed several relationships between wellness and training load measures that ranged from no association to a very large association [10].
The monitoring of different dimensions is useful in sports to optimize training adaptation, which can consequently improve performance and reduce injury risk [11]. Still, inappropriate load management can be a significant risk factor for acute illness and overtraining syndrome [12]. Therefore, all quantification can contribute towards better healthcare for recreational or elite sport athletes. However, there are few research papers that combine load monitoring and its relationship with healthcare in sports.
The present Special Issue contributed to the field with 35 articles. Of those, 16 articles involved only soccer athletes. For instance, one study was a systematic review that summarized studies about external and internal training load monitoring to provide range values for the main measures in young male soccer players [13]. Another study compared the external load between official and friendly matches and between the first and second halves of professional soccer players [14], while another analyzed differences among playing positions: whether playing home/away matches and if playing in the first or second part of the championship influence the external load of amateur soccer [15]. Moreover, external load was compared between starters and non-starters [16] and among the playing positions [17] of professional soccer players based on different parts of a full season. A sub-analysis of a specific type of training exercise (i.e., small-sided games) was performed to analyze the between-session and within-player variability of heart rates and external load of young male soccer players [18]. While the previous literature included male athletes, the analysis of female professional soccer players was also conducted by quantifying external and internal load as well as the wellness profile of a typical microcycle [19]. Another study tested objective and subjective external and internal loads in primary education students [20].
Other investigations included the analysis of physical fitness and competitive performance in different age categories (8.0–9.9, 10.0–11.9, and 12.0–13.9 years) [21] and in professional soccer [22]. In this regard, different intervention protocols were applied to professional soccer players [23,24] and archers [25] to improve several fitness characteristics. In the same way, fitness and technical skill were compared among young soccer players [26]. Additionally, the relationship between different inter-limb jumping asymmetries and performance measures in male senior and professional soccer players was analyzed [27]. Furthermore, the effectiveness of different training programs on the reactive strength index was compared in a systematic review with a meta-analysis [28], isotonic and isometric exercise interventions were reviewed to analyze the strength and flexibility of the hamstring muscles [29], and a dose-response meta-analysis was conducted to assess the velocity loss effects on strength development and related training efficiency [30]. In fact, other authors analyzed different sports training protocols. For instance, aquatic and bicycling training was applied to improve leg function and range of motion in the intermediate stage of rehabilitation in amateur athletes that underwent meniscal allograft transplantation [31].
Other negative psychological variables, such as stress, injury, anxiety, and depression in adult soccer players, were also analyzed [32]. In this regard, one study applied a mindfulness program to address levels of impulsivity, mood, and pre-competition anxiety in samples of athletics, tennis, swimming, basketball, handball, volleyball, and soccer athletes [33]. Coping strategies were another topic analyzed in professional soccer during Ramadan fasting [34], as well as in other sports than soccer, such as handball, martial arts, rugby, basketball, athletics, aerobic and artistic gymnastics, volleyball, tennis, and swimming during the COVID-19 pandemic [35]. Lastly, the personality and resilience of competitive drivers were another topic of research [36].
In basketball, one study compared the redox, hormonal, metabolic, and lipid profiles between adult male and female athletes and sedentary controls [37], while others characterized the salivary proteome and metabolome of highly trained female and male young basketball players [38].
Body composition and rapid weight loss were another topic of analysis for combat athletes [39]. Moreover, not only body composition but also physiology and morphology were compared between male and female Olympic-distance triathletes [40,41]. Another study analyzed the effects of low-intensity aerobic training combined with blood flow restriction on body composition, physical fitness, and vascular responses in recreational runners [42]. An analysis of the vitamin D receptor (VDR), the rs2228570 polymorphism, and its effect on elite athletes’ performance was also compared between track and field athletes with non-athletes (controls with a physical activity record) [43].
In tennis, high-intensity interval training effects in athletes with and without cognitive load were analyzed on accuracy, critical flicker fusion threshold, and rating of perceived exertion [44].
In Olympic weightlifting, a comparison of the fatigue prompted by the “Clean and Jerk”, and “the Snatch” and their derivative exercises among male and female participants was performed [45].
A case study about the influence of swimming training on an athlete with active Chron’s disease, where scarce research exists, was conducted [46]. Finally, another case study analyzed four athletes who participated in a 768 km ultra-trail race for 11 days to address bone turnover alterations [47].
This Special Issue provides relevant information to update the state of the art in this field. It addresses several sports, including young, professional, recreational, male, and female athletes. Moreover, it addresses some gaps in the literature (e.g., Chron’s disease, Olympic weightlifting, or velocity speed loss). Notwithstanding, this Special Issue, along with its included studies, contributes information to improve load monitoring (of training and competition) and healthcare through direct or indirect research.

Author Contributions

Conceptualization: R.O. and J.P.B.; writing—original draft: R.O. and J.P.B.; writing—review and editing: R.O. and J.P.B.; project administration: R.O. and J.P.B. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gabbett, T.J.; Nassis, G.P.; Oetter, E.; Pretorius, J.; Johnston, N.; Medina, D.; Rodas, G.; Myslinski, T.; Howells, D.; Beard, A.; et al. The Athlete Monitoring Cycle: A Practical Guide to Interpreting and Applying Training Monitoring Data. Br. J. Sports Med. 2017, 51, 1451–1452. [Google Scholar] [CrossRef]
  2. 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, 161–170. [Google Scholar] [CrossRef]
  3. Miguel, M.; Oliveira, R.; Loureiro, N.; García-Rubio, J.; Ibáñez, S.J. Load Measures in Training/Match Monitoring in Soccer: A Systematic Review. Int. J. Environ. Res. Public Health 2021, 18, 2721. [Google Scholar] [CrossRef]
  4. 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]
  5. Helwig, J.; Diels, J.; Röll, M.; Mahler, H.; Gollhofer, A.; Roecker, K.; Willwacher, S. Relationships between External, Wearable Sensor-Based, and Internal Parameters: A Systematic Review. Sensors 2023, 23, 827. [Google Scholar] [CrossRef] [PubMed]
  6. Bunn, J.A.; Navalta, J.W.; Fountaine, C.J.; Reece, J.D. Current State of Commercial Wearable Technology in Physical Activity Monitoring 2015–2017. Int. J. Exerc. Sci. 2018, 11, 503–515. [Google Scholar]
  7. Henriksen, A.; Haugen Mikalsen, M.; Woldaregay, A.Z.; Muzny, M.; Hartvigsen, G.; Hopstock, L.A.; Grimsgaard, S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. J. Med. Internet Res. 2018, 20, e110. [Google Scholar] [CrossRef] [PubMed]
  8. Hooper, S.L.; Mackinnon, L.T. Monitoring Overtraining in Athletes: Recommendations. Sport. Med. 1995, 20, 321–327. [Google Scholar] [CrossRef]
  9. McLean, B.D.; Coutts, A.J.; Kelly, V.; McGuigan, M.R.; Cormack, S.J. Neuromuscular, Endocrine, and Perceptual Fatigue Responses during Different Length between-Match Microcycles in Professional Rugby League Players. Int. J. Sports Physiol. Perform. 2010, 5, 367–383. [Google Scholar] [CrossRef]
  10. Duignan, C.; Doherty, C.; Caulfield, B.; Blake, C. Single-Item Self-Report Measures of Team-Sport Athlete Wellbeing and Their Relationship with Training Load: A Systematic Review. J. Athl. Train. 2020, 55, 944–953. [Google Scholar] [CrossRef] [PubMed]
  11. Halson, S.L. Monitoring Training Load to Understand Fatigue in Athletes. Sport. Med. 2014, 44, 139–147. [Google Scholar] [CrossRef]
  12. Schwellnus, M.; Soligard, T.; Alonso, J.M.; Bahr, R.; Clarsen, B.; Dijkstra, H.P.; Gabbett, T.J.; Gleeson, M.; Hägglund, M.; Hutchinson, M.R.; et al. How Much Is Too Much? (Part 2) International Olympic Committee Consensus Statement on Load in Sport and Risk of Illness. Br. J. Sports Med. 2016, 50, 1043–1052. [Google Scholar] [CrossRef]
  13. Oliveira, R.; Brito, J.P.; Moreno-Villanueva, A.; Nalha, M.; Rico-González, M.; Clemente, F.M. Reference Values for External and Internal Training Intensity Monitoring in Young Male Soccer Players: A Systematic Review. Healthcare 2021, 9, 1567. [Google Scholar] [CrossRef] [PubMed]
  14. Nobari, H.; Brito, J.P.; Pérez-Gómez, J.; Oliveira, R. Variability of External Intensity Comparisons between Official and Friendly Soccer Matches in Professional Male Players. Healthcare 2021, 9, 1708. [Google Scholar] [CrossRef] [PubMed]
  15. Miguel, M.; Oliveira, R.; Brito, J.P.; Loureiro, N.; García-Rubio, J.; Ibáñez, S.J. External Match Load in Amateur Soccer: The Influence of Match Location and Championship Phase. Healthcare 2022, 10, 594. [Google Scholar] [CrossRef]
  16. Gholizadeh, R.; Nobari, H.; Bolboli, L.; Siahkouhian, M.; Brito, J.P. Comparison of Measurements of External Load between Professional Soccer Players. Healthcare 2022, 10, 1116. [Google Scholar] [CrossRef]
  17. Nobari, H.; Ramachandran, A.K.; Brito, J.P.; Oliveira, R. Quantification of Pre-Season and In-Season Training Intensity across an Entire Competitive Season of Asian Professional Soccer Players. Healthcare 2022, 10, 1367. [Google Scholar] [CrossRef]
  18. Silva, A.F.; González-Fernández, F.T.; Aquino, R.; Akyildiz, Z.; Vieira, L.P.; Yıldız, M.; Birlik, S.; Nobari, H.; Praça, G.; Clemente, F.M. Analyzing the within and between Players Variability of Heart Rate and Locomotor Responses in Small-Sided Soccer Games Performed Repeatedly over a Week. Healthcare 2022, 10, 1412. [Google Scholar] [CrossRef] [PubMed]
  19. Fernandes, R.; Ibrahim, H.; Clemente, F.M.; Martins, A.D.; Nobari, H.; Reis, V.M.; Oliveira, R. In-Season Microcycle Quantification of Professional Women Soccer Players—External, Internal and Wellness Measures. Healthcare 2022, 10, 695. [Google Scholar] [CrossRef]
  20. García-Ceberino, J.M.; Gamero, M.G.; Ibáñez, S.J.; Feu, S. Are Subjective Intensities Indicators of Player Load and Heart Rate in Physical Education? Healthcare 2022, 10, 428. [Google Scholar] [CrossRef]
  21. Irurtia, A.; Torres-Mestre, V.M.; Cebrián-Ponce, Á.; Carrasco-Marginet, M.; Altarriba-Bartés, A.; Vives-Usón, M.; Cos, F.; Castizo-Olier, J. Physical Fitness and Performance in Talented & Untalented Young Chinese Soccer Players. Healthcare 2022, 10, 98. [Google Scholar] [CrossRef] [PubMed]
  22. Mijatovic, D.; Krivokapic, D.; Versic, S.; Dimitric, G.; Zenic, N. Change of Direction Speed and Reactive Agility in Prediction of Injury in Football; Prospective Analysis over One Half-Season. Healthcare 2022, 10, 440. [Google Scholar] [CrossRef] [PubMed]
  23. Mohammadi Nia Samakosh, H.; Brito, J.P.; Shojaedin, S.S.; Hadadnezhad, M.; Oliveira, R. What Does Provide Better Effects on Balance, Strength, and Lower Extremity Muscle Function in Professional Male Soccer Players with Chronic Ankle Instability? Hopping or a Balance Plus Strength Intervention? A Randomized Control Study. Healthcare 2022, 10, 1822. [Google Scholar] [CrossRef] [PubMed]
  24. de Oliveira-Sousa, S.L.; León-Garzón, M.C.; Gacto-Sánchez, M.; Ibáñez-Vera, A.J.; Espejo-Antúnez, L.; León-Morillas, F. Does Inspiratory Muscle Training Affect Static Balance in Soccer Players? A Pilot Randomized Controlled Clinical Trial. Healthcare 2023, 11, 262. [Google Scholar] [CrossRef]
  25. Liao, C.-N.; Fan, C.-H.; Hsu, W.-H.; Chang, C.-F.; Yu, P.-A.; Kuo, L.-T.; Lu, B.-L.; Hsu, R.W.-W. Twelve-Week Lower Trapezius-Centred Muscular Training Regimen in University Archers. Healthcare 2022, 10, 171. [Google Scholar] [CrossRef] [PubMed]
  26. Yapici, H.; Soylu, Y.; Gulu, M.; Kutlu, M.; Ayan, S.; Muluk, N.B.; Aldhahi, M.I.; AL-Mhanna, S.B. Agility Skills, Speed, Balance and CMJ Performance in Soccer: A Comparison of Players with and without a Hearing Impairment. Healthcare 2023, 11, 247. [Google Scholar] [CrossRef]
  27. Espada, M.C.; Jardim, M.; Assunção, R.; Estaca, A.; Ferreira, C.C.; Pessôa Filho, D.M.; Verardi, C.E.L.; Gamonales, J.M.; Santos, F.J. Lower Limb Unilateral and Bilateral Strength Asymmetry in High-Level Male Senior and Professional Football Players. Healthcare 2023, 11, 1579. [Google Scholar] [CrossRef]
  28. Rebelo, A.; Pereira, J.R.; Martinho, D.V.; Duarte, J.P.; Coelho-e-Silva, M.J.; Valente-dos-Santos, J. How to Improve the Reactive Strength Index among Male Athletes? A Systematic Review with Meta-Analysis. Healthcare 2022, 10, 593. [Google Scholar] [CrossRef]
  29. Widodo, A.F.; Tien, C.-W.; Chen, C.-W.; Lai, S.-C. Isotonic and Isometric Exercise Interventions Improve the Hamstring Muscles’ Strength and Flexibility: A Narrative Review. Healthcare 2022, 10, 811. [Google Scholar] [CrossRef]
  30. Zhang, X.; Feng, S.; Li, H. The Effect of Velocity Loss on Strength Development and Related Training Efficiency: A Dose–Response Meta–Analysis. Healthcare 2023, 11, 337. [Google Scholar] [CrossRef]
  31. Chen, Y.; Kim, Y.; Choi, M. Effects of Aquatic Training and Bicycling Training on Leg Function and Range of Motion in Amateur Athletes with Meniscal Allograft Transplantation during Intermediate-Stage Rehabilitation. Healthcare 2022, 10, 1090. [Google Scholar] [CrossRef]
  32. Zafra, A.O.; Martins, B.; Ponseti-Verdaguer, F.J.; Ruiz-Barquín, R.; García-Mas, A. It Is Not Just Stress: A Bayesian Approach to the Shape of the Negative Psychological Features Associated with Sport Injuries. Healthcare 2022, 10, 236. [Google Scholar] [CrossRef]
  33. Sánchez-Sánchez, L.C.; Franco, C.; Amutio, A.; García-Silva, J.; González-Hernández, J. Influence of Mindfulness on Levels of Impulsiveness, Moods and Pre-Competition Anxiety in Athletes of Different Sports. Healthcare 2023, 11, 898. [Google Scholar] [CrossRef] [PubMed]
  34. Hajji, J.; Sabah, A.; Aljaberi, M.A.; Lin, C.-Y.; Huang, L.-Y. The Effect of Ramadan Fasting on the Coping Strategies Used by Male Footballers Affiliated with the Tunisian First Professional League. Healthcare 2023, 11, 1053. [Google Scholar] [CrossRef] [PubMed]
  35. Makarowski, R.; Predoiu, R.; Piotrowski, A.; Görner, K.; Predoiu, A.; Oliveira, R.; Pelin, R.A.; Moanță, A.D.; Boe, O.; Rawat, S.; et al. Coping Strategies and Perceiving Stress among Athletes during Different Waves of the COVID-19 Pandemic–Data from Poland, Romania, and Slovakia. Healthcare 2022, 10, 1770. [Google Scholar] [CrossRef]
  36. Rawat, S.; Deshpande, A.P.; Predoiu, R.; Piotrowski, A.; Malinauskas, R.; Predoiu, A.; Vazne, Z.; Oliveira, R.; Makarowski, R.; Görner, K.; et al. The Personality and Resilience of Competitive Athletes as BMW Drivers–Data from India, Latvia, Lithuania, Poland, Romania, Slovakia, and Spain. Healthcare 2023, 11, 811. [Google Scholar] [CrossRef]
  37. Pinto, G.; Militello, R.; Amoresano, A.; Modesti, P.A.; Modesti, A.; Luti, S. Relationships between Sex and Adaptation to Physical Exercise in Young Athletes: A Pilot Study. Healthcare 2022, 10, 358. [Google Scholar] [CrossRef] [PubMed]
  38. Luti, S.; Militello, R.; Pinto, G.; Illiano, A.; Amoresano, A.; Chiappetta, G.; Marzocchini, R.; Modesti, P.A.; Pratesi, S.; Pazzagli, L.; et al. Chronic Training Induces Metabolic and Proteomic Response in Male and Female Basketball Players: Salivary Modifications during In-Season Training Programs. Healthcare 2023, 11, 241. [Google Scholar] [CrossRef]
  39. Baranauskas, M.; Kupčiūnaitė, I.; Stukas, R. The Association between Rapid Weight Loss and Body Composition in Elite Combat Sports Athletes. Healthcare 2022, 10, 665. [Google Scholar] [CrossRef] [PubMed]
  40. Puccinelli, P.J.; de Lira, C.A.B.; Vancini, R.L.; Nikolaidis, P.T.; Knechtle, B.; Rosemann, T.; Andrade, M.S. The Performance, Physiology and Morphology of Female and Male Olympic-Distance Triathletes. Healthcare 2022, 10, 797. [Google Scholar] [CrossRef]
  41. Barbosa, J.G.; de Lira, C.A.B.; Vancini, R.L.; dos Anjos, V.R.; Vivan, L.; Seffrin, A.; Forte, P.; Weiss, K.; Knechtle, B.; Andrade, M.S. Physiological Features of Olympic-Distance Amateur Triathletes, as Well as Their Associations with Performance in Women and Men: A Cross–Sectional Study. Healthcare 2023, 11, 622. [Google Scholar] [CrossRef] [PubMed]
  42. Beak, H.J.; Park, W.; Yang, J.H.; Kim, J. Effect of Low-Intensity Aerobic Training Combined with Blood Flow Restriction on Body Composition, Physical Fitness, and Vascular Responses in Recreational Runners. Healthcare 2022, 10, 1789. [Google Scholar] [CrossRef]
  43. Bulgay, C.; Bayraktar, I.; Kazan, H.H.; Yıldırım, D.S.; Zorba, E.; Akman, O.; Ergun, M.A.; Cerit, M.; Ulucan, K.; Eken, Ö.; et al. Evaluation of the Association of VDR Rs2228570 Polymorphism with Elite Track and Field Athletes’ Competitive Performance. Healthcare 2023, 11, 681. [Google Scholar] [CrossRef] [PubMed]
  44. Clemente-Suárez, V.J.; Villafaina, S.; García-Calvo, T.; Fuentes-García, J.P. Impact of HIIT Sessions with and without Cognitive Load on Cortical Arousal, Accuracy and Perceived Exertion in Amateur Tennis Players. Healthcare 2022, 10, 767. [Google Scholar] [CrossRef] [PubMed]
  45. Antunes, J.P.; Oliveira, R.; Reis, V.M.; Romero, F.; Moutão, J.; Brito, J.P. Comparison between Olympic Weightlifting Lifts and Derivatives for External Load and Fatigue Monitoring. Healthcare 2022, 10, 2499. [Google Scholar] [CrossRef] [PubMed]
  46. Papadimitriou, K. The Influence of Aerobic Type Exercise on Active Crohn’s Disease Patients: The Incidence of an Elite Athlete. Healthcare 2022, 10, 713. [Google Scholar] [CrossRef] [PubMed]
  47. Castellar-Otín, C.; Lecina, M.; Pradas, F. Bone Turnover Alterations after Completing a Multistage Ultra-Trail: A Case Study. Healthcare 2022, 10, 798. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Oliveira, R.; Brito, J.P. Load Monitoring and Its Relationship with Healthcare in Sports. Healthcare 2023, 11, 2330. https://doi.org/10.3390/healthcare11162330

AMA Style

Oliveira R, Brito JP. Load Monitoring and Its Relationship with Healthcare in Sports. Healthcare. 2023; 11(16):2330. https://doi.org/10.3390/healthcare11162330

Chicago/Turabian Style

Oliveira, Rafael, and João Paulo Brito. 2023. "Load Monitoring and Its Relationship with Healthcare in Sports" Healthcare 11, no. 16: 2330. https://doi.org/10.3390/healthcare11162330

APA Style

Oliveira, R., & Brito, J. P. (2023). Load Monitoring and Its Relationship with Healthcare in Sports. Healthcare, 11(16), 2330. https://doi.org/10.3390/healthcare11162330

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop