The Most Demanding Exercise in Different Training Tasks in Professional Female Futsal: A Mid-Season Study through Principal Component Analysis

Resultant equations for training load monitoring during a standard microcycle in sub-elite youth football: a principal components approach

Applying data-reduction techniques to extract meaningful information from electronic performance and tracking systems (EPTS) has become a hot topic in football training load (TL) monitoring. The aim of this study was to reduce the dimensionality of the internal and external load measures, by a principal component approach, to describe and explain the resultant equations for TL monitoring during a standard in-season microcycle in sub-elite youth football. Additionally, it is intended to identify the most representative measure for each principal component. A principal component analysis (PCA) was conducted with a Monte Carlo parallel analysis and VariMax rotation to extract baseline characteristics, external TL, heart rate (HR)-based measures and perceived exertion. Training data were collected from sixty sub-elite young football players during a 6-week training period using 18 Hz global positioning system (GPS) with inertial sensors, 1 Hz short-range telemetry system, total quality recovery (TQR) and rating of perceived exertion (RPE). Five principal components accounted for 68.7% of the total variance explained in the training data. Resultant equations from PCA was subdivided into: (1) explosiveness, accelerations and impacts (27.4%); (2) high-speed running (16.2%); (3) HR-based measures (10.0%); (4) baseline characteristics (8.3%); and (5) average running velocity (6.7%). Considering the highest factor in each principal component, decelerations (PCA 1), sprint distance (PCA 2), average HR (PCA 3), chronological age (PCA 4) and maximal speed (PCA 5) are the conditional dimension to be considered in TL monitoring during a standard microcycle in sub-elite youth football players. Current research provides the first composite equations to extract the most representative components during a standard in-season microcycle in sub-elite youth football players. Futures research should expand the resultant equations within training days, by considering other well-being measures, technical-tactical skills and match-related contextual factors.

Assessment of Pain and External Load in Amputee Football Using Digital Pain Drawing and GNSS Tracking—A Pilot Study

Amputee Football (AF) players move using lofstrand crutches (LC) and a single leg during training and matches, which may expose them to excessive loads. Due to a lack of scientific articles describing these issues, this pilot study aims to gain insight into the assessment of pain experiences, as well as external loads during training and matches in AF. An observational study design was followed. Twelve male AF players (2 goalkeepers—GK and 10 field players—FP), 29.9 ± 8.7 years, stature 178.3 ± 6.5 cm, body mass 77.2 ± 8.9 kg were involved in the study. After stature and body mass measures, participants filled out the questionnaire for pain. The players were familiarized with digital pain drawing (DPD). Afterwards, they reported pain typically felt in relation to regular AF training and playing matches—recall pain (RP). During a two-day training camp (TC) with two training sessions each day and during a two-day international tournament (IT) with two matches each day, the players were monitored using DPD, rate of perceived exertion (RPE) and overall pain level (OPL) scales. In addition, during an international tournament (IT), match players were monitored using a GNSS tracking system for external load assessment. All of the participants reported multiple locations of pain after AF training or a match. The area of recall pain (RP) was the highest: +0.5% when compared to the end of TC and +43% when compared to end of IT. The pain area registered at the end of IT was significantly lower (p = 0.028) compared to RP and lower without statistical significance when compared to the end of TC. Average RPE was 3.31 ± 1.38 and average OPL was 2.86 ± 1.81 in 0–10 scale. Typical RPE was higher than that registered at the end of IT. Also typical OPL was higher compared to that registered after the end of TC, which was higher than after the end of IT. The average distance covered by a FP during a match ranged from 2483.14 ± 583.64 m to 2911.08 ± 828.90 m. AF field players suffered pain as a consequence of training and matches. The loads coming from playing and training, combined with pain, may lead to injuries. Further research directions should include assessments of the relationship of pain characteristics, injuries and GNSS tracking parameters.