Within-Subject Principal Component Analysis of External Training Load and Intensity Measures in Youth Soccer Training

Author:

Marynowicz Jakub12,Lango Mateusz3,Horna Damian3,Kikut Karol2,Konefał Marek4,Chmura Paweł5,Andrzejewski Marcin6

Affiliation:

1. Department of Theory and Methodology of Team Sport Games, Poznan University of Physical Education, Poznań, Poland;

2. KKS Lech Poznań S.A.—Football Club, Poznań, Poland;

3. Institute of Computer Science, Poznan University of Technology, Poznań, Poland;

4. Department of Biological and Motor Sport Bases, Wroclaw University of Health and Sport Sciences, Wrocław, Poland;

5. Department of Team Games, Wroclaw University of Health and Sport Sciences, Wrocław, Poland; and

6. Department of Methodology of Recreation, Poznan University of Physical Education, Poznań, Poland

Abstract

Abstract Marynowicz, J, Lango, M, Horna, D, Kikut, K, Konefał, M, Chmura, P, and Andrzejewski, M. Within-participant principal component analysis of external training load and intensity measures in youth soccer training. J Strength Cond Res 37(12): 2411–2416, 2023—The aim of this study was to identify which combination of external training load (EL) and external intensity (EI) metrics during youth soccer training sessions captured similar or unique information. Data were collected from 18 youth soccer players during an 18-week in-season competition period using a 10-Hz global positioning system, rating of perceived exertion (RPE), and session-RPE (sRPE). External training load measures included total distance (TD, in meters), PlayerLoad (PL, in arbitrary units), high-speed running distance (HSR, in meters), and number of accelerations (ACC, n). All EL metrics were also divided by session duration (minutes) to obtain EI values. A total of 804 training observations were undertaken (43 ± 17 sessions per player). The analysis was performed by use of the principal component analysis technique. The first principal component (PC) captured 49–70% and 68–89% of the total variance in EI and EL, respectively. The findings show that from the 5 EI metrics, most of the information can be explained by either TD per minute or PL per minute, with a loading from 0.87 to 0.98 and from 0.76 to 0.95, respectively. The majority of EL information can be explained by PL (loading: 0.93–0.98), TD (loading: 0.95–0.99), ACC (loading: 0.71–0.91), or sRPE (loading: 0.70–0.93). The second PC for EL metrics is most strongly correlated with HSR, with loadings from 0.53 to 0.84. The results suggest that the majority of the information contained in the EL variables can be captured in 1 PC without losing much information. The findings suggest that stakeholders who intend to provide a fast and holistic view of EL information in a daily training environment should report TD, PL, ACC, or sRPE plus HSR to coaching staff as a metrics that provides additional unique information.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,General Medicine

Reference35 articles.

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