The heart rate variability parameters of the participants
Variables
Mean ± SD
95% CI
P-value
MRR
911.3 ± 109.0
869.8–952.8
0.206
SDNN
60.6 ± 25.7
50.8–70.4
0.665
RMSSD
60.6 ± 25.7
50.8–70.4
0.643
pNN50
30.6 ± 19.8
23.0–38.1
0.197
LF
56.5 ± 18.2
49.5–63.4
0.271
HF
43.7 ± 18.6
36.6–50.8
0.159
LF/HF
1.98 ± 1.95
1.23–2.72
< 0.001
Where MRR is the mean of the normal sinus (NN) intervals; SDNN is the standard deviation (SD) of all NN intervals; RMSSD is the root mean square of the successive differences between adjacent NN intervals; pNN50 is the percentage of times that the change in consecutive NN sinus intervals exceeded 50 ms; LF is low frequency; HF is high frequency. Values are mean ± SD, 95% CI is the confidence interval around 95% of the mean and the P-value of Shapiro-Wilk test
Declarations
Author contributions
WM: Conceptualization, Writing—original draft, Validation, Supervision, Writing—review & editing. SAMM and THLB: Formal analysis, Investigation, Methodology. CAMdOF: Formal analysis, Investigation. All authors reviewed and approved the final version of the manuscript before submission.
Conflicts of interest
The authors declare that they have no conflicts of interest.
Ethical approval
The study protocol was ethically approved by the Human Research Ethics Committee of the Federal University of Amapá (CAAE: 50150121.1.0000.0003, n° 5.121.013) and complied with the Declaration of Helsinki.
Consent to participate
Informed consent was obtained from the athletes.
Consent to publication
Not applicable.
Availability of data and materials
Due to the privacy of the athletes’ data, we cannot provide the original dataset.
Funding
This research was funded by the Amapá Research Support Foundation (FAPEAP) through its public call 003/2018, specifically within the “Research Program for the Unified Health System (SUS): Management in Health-PPSUS”. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.
References
Campolo J, Canale P, Piccaluga E, Bossi I, Gazzaniga G, Parolini M, et al. Vascular senescence and atherosclerotic plaque vulnerability: investigating the telomere-mitochondria Crosstalk—rationale and design of the VICTORIA Study.Explor Cardiol. 2024;2:168–77. [DOI]
Basuoni A, Khatri S, Al-Malki Y, Makhlouf M. Uncommon threads: pneumopericardium complexity following liver catheter removal in pancreatic cancer.Explor Cardiol. 2024;2:178–82. [DOI]
Costantino MF, D’Addeo G, Cortese F, Stolfi L. Valve-in-valve transcatheter aortic valve replacement: state of art.Explor Cardiol. 2024;2:183–95. [DOI]
Materko W, Bartels R, Pecanha T, Lima JRP, Carvalho ARS, Nadal J. Maximum oxygen uptake prediction model based on heart rate variability parameters for young healthy adult males at rest.Open Access Biostatistics Bioinformatics. 2018;2:1–7. [DOI]
Materko W. Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest.Motricidade. 2018;14:51–7. [DOI]
Zeid S, Buch G, Velmeden D, Söhne J, Schulz A, Schuch A, et al. Heart rate variability: reference values and role for clinical profile and mortality in individuals with heart failure.Clin Res Cardiol. 2024;113:1317–30. [DOI] [PubMed] [PMC]
Zhu J, Ji L, Liu C. Heart rate variability monitoring for emotion and disorders of emotion.Physiol Meas. 2019;40:064004. [DOI] [PubMed]
North JR, Box AG, Adamek JF, Markowitz EN, Szamocki MR, Petruzzello SJ. Heart rate variability and its associations with affective valence during exercise.Med Sci Sports Exerc. 2024;56:324. [DOI]
Materko W, Fernandes DF, Façanha CCR, Dias MFS, Costa AV, Pureza D, et al. A machine learning approach to developing an accurate stratification of type 2 diabetes mellitus based on heart rate variability parameters using the K-means clustering technique in elderly women.Gazz Med Ital - Arch Sci Med. 2024;183:44–50. [DOI]
Materko W, Fernandes DF, Sadala MN, Pureza D, Alberto AAD, Pena FPS. Evaluation on heart rate variability parameters in elderly with type 2 diabetes mellitus using principal component analysis.Gazz Med Ital - Arch Sci Med. 2022;181:879–84. [DOI]
Costa JA, Brito J, Nakamura FY, Dores H, Rebelo A. Associations between 24-h heart rate variability and aerobic fitness in high-level female soccer players.Scand J Med Sci Sports. 2022;32:140–9. [DOI] [PubMed]
Hammami A, Kasmi S, Yousfi N, Bouamra M, Tabka Z, Bouhlel E. Cardiac parasympathetic reactivation after small-sided soccer games and repeated sprints in untrained healthy adolescents.J Sports Med Phys Fitness. 2018;58:341–7. [DOI] [PubMed]
Materko M, dos Reis Façanha CC, Guedes GC, Dias MFS, Costa AV, Belfort DR, et al. Temporal cross-correlation between Polar® heart rate monitor interface board and ECG to measure RR interval at rest.Isokinetics and Exercise Science. 2024;32:59–64. [DOI]
Pereira LA, Abad CCC, Leiva DF, Oliveira G, Carmo EC, Kobal R, et al. Relationship Between Resting Heart Rate Variability and Intermittent Endurance Performance in Novice Soccer Players.Res Q Exerc Sport. 2019;90:355–61. [DOI] [PubMed]
Cataldo A, Zangla D, Cerasola D, Vallone V, Grusso G, Presti RL, et al. Influence of baseline heart rate variability on repeated sprint performance in young soccer players.J Sports Med Phys Fitness. 2016;56:491–6. [PubMed]
Micheletti JK, Vanderlei FM, Machado AF, Almeida ACd, Nakamura FY, Junior JN, et al. A New Mathematical Approach to Explore the Post-exercise Recovery Process and Its Applicability in a Cold Water Immersion Protocol.J Strength Cond Res. 2019;33:1266–75. [DOI] [PubMed]
Greenwalt CE, Angeles E, Vukovich MD, Smith-Ryan AE, Bach CW, Sims ST, et al. Pre-sleep feeding, sleep quality, and markers of recovery in division I NCAA female soccer players.J Int Soc Sports Nutr. 2023;20:2236055. [DOI] [PubMed] [PMC]
Pagani E, Gavazzoni N, Bernardelli G, Malacarne M, Solaro N, Giusti E, et al. Psychological Intervention Based on Mental Relaxation to Manage Stress in Female Junior Elite Soccer Team: Improvement in Cardiac Autonomic Control, Perception of Stress and Overall Health.Int J Environ Res Public Health. 2023;20:942. [DOI] [PubMed] [PMC]
Móra Á, Komka Z, Végh J, Farkas I, Kocsisné GS, Bosnyák E, et al. Comparison of the Cardiovascular Effects of Extreme Psychological and Physical Stress Tests in Male Soccer Players.Int J Environ Res Public Health. 2022;19:715. [DOI] [PubMed] [PMC]
Soares-Caldeira LF, de Souza EA, de Freitas VH, de Moraes SM, Leicht AS, Nakamura FY. Effects of additional repeated sprint training during preseason on performance, heart rate variability, and stress symptoms in futsal players: a randomized controlled trial.J Strength Cond Res. 2014;28:2815–26. [DOI] [PubMed]
Muñoz-López A, Naranjo-Orellana J. Individual versus team heart rate variability responsiveness analyses in a national soccer team during training camps.Sci Rep. 2020;10:11726. [DOI] [PubMed] [PMC]
Lee JW, Song S, Kim Y, Park S, Han DH. Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution.Front Psychol. 2023;14:1244404. [DOI] [PubMed] [PMC]
Laurenzi C, Tomlinson M, Skiti Z, Rotheram-Borus MJ. Soccer, safety and science: why evidence is key.Policy Brief (Inst Secur Stud). 2021;2021:159. [PubMed] [PMC]
Forcher L, Beckmann T, Wohak O, Romeike C, Graf F, Altmann S. Prediction of defensive success in elite soccer using machine learning - Tactical analysis of defensive play using tracking data and explainable AI.Sci Med Footb. 2024;8:317–32. [DOI] [PubMed]
Chikov A, Egorov N, Medvedev D, Chikova S, Pavlov E, Pavel D, et al. Determination of the athletes’ anaerobic threshold using machine learning methods.Biomed Signal Process Control. 2022;73:103414. [DOI]
Gaskin CJ, Happell B. On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use.Int J Nurs Stud. 2014;51:511–21. [DOI] [PubMed]
Association WM; World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.JAMA. 2013;310:2191–4. [DOI] [PubMed]
Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use.Circulation. 1996;93:1043–65. [PubMed]
Zhang H, Chen Y, Li X. A Note on Exploratory Item Factor Analysis by Singular Value Decomposition.Psychometrika. 2020;85:358–72. [DOI] [PubMed] [PMC]
Kang H. Sample size determination and power analysis using the G*Power software.J Educ Eval Health Prof. 2021;18:17. [DOI] [PubMed] [PMC]
Kaiser HF. The varimax criterion for analytic rotation in factor analysis.Psychometrika. 1958;23:187–200. [DOI]
Zhang Z, Castelló A. Principal components analysis in clinical studies.Ann Transl Med. 2017;5:351. [DOI] [PubMed] [PMC]
McCraty R, Shaffer F. Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-regulatory Capacity, and Health risk.Glob Adv Health Med. 2015;4:46–61. [DOI] [PubMed] [PMC]
Lechner S, Ammar A, Boukhris O, Trabelsi K, Glenn JM, Schwarz J, et al. Monitoring training load in youth soccer players: effects of a six-week preparatory training program and the association between external and internal loads.Biol Sport. 2023;40:63–75. [DOI] [PubMed] [PMC]
Rabbani A, Clemente FM, Kargarfard M, Chamari K. Match Fatigue Time-Course Assessment Over Four Days: Usefulness of the Hooper Index and Heart Rate Variability in Professional Soccer Players.Front Physiol. 2019;10:109. [DOI] [PubMed] [PMC]
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.Erratum in: Physiol Behav. 2018;194:589. [DOI] [PubMed]
Thorpe RT, Strudwick AJ, Buchheit M, Atkinson G, Drust B, Gregson W. The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players.Int J Sports Physiol Perform. 2017;12:S2107–13. [DOI] [PubMed]
Costa J, Figueiredo P, Nakamura F, Rago V, Rebelo A, Brito J. Intra-individual variability of sleep and nocturnal cardiac autonomic activity in elite female soccer players during an international tournament.PLoS One. 2019;14:e0218635. [DOI] [PubMed] [PMC]
Abad CCC, Pereira LA, Zanetti V, Kobal R, Loturco I, Nakamura FY. Short-Term Cardiac Autonomic Recovery after a Repeated Sprint Test in Young Soccer Players.Sports (Basel). 2019;7:102. [DOI] [PubMed] [PMC]
Ferreira MEC, Lima-Junior D, Faro H, Roelands B, Fortes LS. Prolonged cognitive effort impairs inhibitory control and causes significant mental fatigue after an endurance session with an auditive distractor in professional soccer players.Psychol Sport Exerc. 2024;70:102533. [DOI] [PubMed]
Botelho R, Abad CCC, Spadari RC, Winckler C, Garcia MC, Guerra RLF. Psychophysiological Stress Markers During Preseason Among Elite Female Soccer Players.J Strength Cond Res. 2022;36:1648–54. [DOI] [PubMed]
Ayuso-Moreno R, Fuentes-García JP, Collado-Mateo D, Villafaina S. Heart rate variability and pre-competitive anxiety according to the demanding level of the match in female soccer athletes.Physiol Behav. 2020;222:112926. [DOI] [PubMed]
Mirto M, Filipas L, Altini M, Codella R, Meloni A. Heart Rate Variability in Professional and Semiprofessional Soccer: A Scoping Review.Scand J Med Sci Sports. 2024;34:e14673. [DOI] [PubMed]
Malagù M, Vitali F, Rizzo U, Brieda A, Zucchetti O, Verardi FM, et al. Heart Rate Variability Relates with Competition Performance in Professional Soccer Players.Hearts. 2021; 2:36–44.
Kanyhina SM, Syvolap VV, Potapenko MS. Autonomic support of endurance, strength and speed performance in athletes.Zaporozhye Med J. 2020;22:767–74. [DOI]
Esco MR, Flatt AA, Nakamura FY. Initial Weekly HRV Response is Related to the Prospective Change in VO2max in Female Soccer Players.Int J Sports Med. 2016;37:436–41. [DOI] [PubMed]
Silva DFD, Verri SM, Nakamura FY, Machado FA. Longitudinal changes in cardiac autonomic function and aerobic fitness indices in endurance runners: a case study with a high-level team.Eur J Sport Sci. 2014;14:443–51. [DOI] [PubMed]
Shin K, Minamitani H, Onishi S, Yamazaki H, Lee M. The power spectral analysis of heart rate variability in athletes during dynamic exercise--Part I.Clin Cardiol. 1995;18:583–6. [DOI] [PubMed]
Blasco-Lafarga C, Martínez-Navarro I, Mateo-March M. Is baseline cardiac autonomic modulation related to performance and physiological responses following a supramaximal Judo test?PLoS One. 2013;8:e78584. [DOI] [PubMed] [PMC]
Sinnott AM, Kochick VL, Eagle SR, Trbovich AM, Collins MW, Sparto PJ, et al. Comparison of physiological outcomes after dynamic exertion between athletes at return to sport from concussion and controls: Preliminary findings.J Sci Med Sport. 2023;26:682–7. [DOI] [PubMed]
Ni Z, Sun F, Li Y. Heart Rate Variability-Based Subjective Physical Fatigue Assessment.Sensors (Basel). 2022;22:3199. [DOI] [PubMed] [PMC]
Bond V Jr, Curry BH, Kumar K, Pemminati S, Gorantla VR, Kadur K, et al. Nonlinear Conte-Zbilut-Federici (CZF) Method of Computing LF/HF Ratio: A More Reliable Index of Changes in Heart Rate Variability.J Pharmacopuncture. 2016;19:207–12. [DOI] [PubMed] [PMC]
Cvijetic S, Macan J, Boschiero D, Ilich JZ. Body fat and muscle in relation to heart rate variability in young-to-middle age men: a cross sectional study.Ann Hum Biol. 2023;50:108–16. [DOI] [PubMed]
Trevizani GA, Benchimol-Barbosa PR, Nadal J. Effects of age and aerobic fitness on heart rate recovery in adult men.Arq Bras Cardiol. 2012;99:802–10. [DOI] [PubMed]
Materko W, Bartels R, Motta-Ribeiro GC, Lopes AJ, Nadal J, Carvalho ARS. Influence of the respiratory signal in heart rate variability analysis in the respiratory pattern in healthy elderly and with COPD.Int J Eng Technol Manag Res. 2018;5:1–8. [DOI]
Leiser F, Rank S, Schmidt-Kraepelin M, Thiebes S, Sunyaev A. Medical informed machine learning: A scoping review and future research directions.Artif Intell Med. 2023;145:102676. [DOI] [PubMed]
