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Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach

2024Journal article Open access
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dc.contributor.authorTeixeira, José Eduardo
dc.contributor.authorBranquinho, Luís
dc.contributor.authorFerraz, Ricardo
dc.contributor.authorMorgans, Ryland
dc.contributor.authorEncarnação, Samuel
dc.contributor.authorRibeiro, Joana
dc.contributor.authorAfonso, Pedro
dc.contributor.authorRuzmetov, Nemat
dc.contributor.authorBarbosa, Tiago M.
dc.contributor.authorMonteiro, A.M.
dc.contributor.authorForte, Pedro
dc.date.accessioned2024-08-21T09:51:15Z
dc.date.available2024-08-21T09:51:15Z
dc.date.issued2024
dc.description.abstractUtilizing techniques for reducing multivariate data is essential for comprehensively understanding the variations and relationships within both biomechanical and physiological datasets in the context of youth football training. Therefore, the objective of this study was to identify the primary factors influencing training sessions within a standard microcycle among young sub-elite football players. A total of 60 male Portuguese youth sub-elite footballers (15.19   1.75 years) were continuous monitored across six weeks during the 2019–2020 in-season, comprising the training days from match day minus (MD-) 3, MD-2, and MD-1. The weekly training load was collected by an 18 Hz global positioning system (GPS), 1 Hz heart rate (HR) monitors, the perceived exertion (RPE) and the total quality recovery (TQR). A principal component approach (PCA) coupled with a Monte Carlo parallel analysis was applied to the training datasets. The training datasets were condensed into three to five principal components, explaining between 37.0% and 83.5% of the explained variance (proportion and cumulative) according to the training day (p < 0.001). Notably, the eigenvalue for this study ranged from 1.20% to 5.21% within the overall training data. The PCA analysis of the standard microcycle in youth sub-elite football identified that, across MD-3, MD-2, and MD-1, the first was dominated by the covered distances and sprinting variables, while the second component focused on HR measures and training impulse (TRIMP). For the weekly microcycle, the first component continued to emphasize distance and intensity variables, with the ACC and DEC being particularly influential, whereas the second and subsequent components included HR measures and perceived exertion. On the three training days analyzed, the first component primarily consisted of variables related to the distance covered, running speed, high metabolic load, sprinting, dynamic stress load, accelerations, and decelerations. The high intensity demands have a high relative weight throughout the standard microcycle, which means that the training load needs to be carefully monitored and managed.pt_PT
dc.description.sponsorshipThis project was supported by the National Funds through the FCT Portuguese Foundation for Science and Technology (project UIDB04045/2021). SPRINT\u2014Sport Physical Activity and Health Research and Innovation Center, Portugal; Life Quality Research Center (LQRC-CIEQV), Santar\u00E9m, Portugal; Research Center for Active Living and Wellbeing (Livewell), Bragan\u00E7a, Portugal; and Research Centre in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, José Eduardo; Branquinho, Luís; Ferraz, Ricardo; Morgans, Ryland; Encarnação, Samuel Gonçalves; Ribeiro, Joana; Afonso, Pedro; Ruzmetov, Nemat; Barbosa, Tiago M.; Monteiro, A.M.; Forte, Pedro (2024). Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach. Sports. eISSN 2075-4663. 12:7, p. 1-15pt_PT
dc.identifier.doi10.3390/sports12070194pt_PT
dc.identifier.eissn2075-4663
dc.identifier.urihttp://hdl.handle.net/10198/30188
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUIDB/04045/2021pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWearable devicespt_PT
dc.subjectTracking technologiespt_PT
dc.subjectWorkloadpt_PT
dc.subjectMonitoringpt_PT
dc.subjectIntensitypt_PT
dc.subjectYouthpt_PT
dc.subjectResearch Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sportspt_PT
dc.titleAnalyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage15pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSportspt_PT
oaire.citation.volume12pt_PT
person.familyNameTeixeira
person.familyNameEncarnação
person.familyNameBarbosa
person.familyNameMonteiro
person.familyNameForte
person.givenNameJosé Eduardo
person.givenNameSamuel
person.givenNameTiago M.
person.givenNameAntónio M.
person.givenNamePedro
person.identifier.ciencia-idD11C-9591-7A8A
person.identifier.ciencia-id9416-E2F5-E660
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.ciencia-idC41C-6CCD-A1F0
person.identifier.ciencia-id351B-B16B-79C7
person.identifier.orcid0000-0003-4612-3623
person.identifier.orcid0000-0003-2965-2777
person.identifier.orcid0000-0001-7071-2116
person.identifier.orcid0000-0003-4467-1722
person.identifier.orcid0000-0003-0184-6780
person.identifier.scopus-author-id10044856400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication79042f92-ce53-4b79-a33f-76ac63c55b8d
relation.isAuthorOfPublicationd38d4c9f-84d5-4562-9482-5322ded17d3d
relation.isAuthorOfPublication941a6f14-cfba-458a-a2e3-0cbd1846cd42
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