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Sports, Volume 10, Issue 1

January 2022 - 12 articles

Cover Story: The aim of the study was to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer. Modifiable and non-modifiable risk factors were used to predict MSI through different data mining models: Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM). Results: SVM showed the best predictive ability. The analysis revealed that the risk of injury could change according to players’ maturity status, neuromuscular fatigue, anthropometric factors, higher workloads, and low recovery status. View this paper
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Articles (12)

  • Article
  • Open Access
2 Citations
4,544 Views
14 Pages

10 January 2022

This case series, team-based study aimed to compare the demands imposed during conditioning training and match-play in netball players. Female netball players competing at semi-professional (n = 9, age: 22.2 ± 3.8 years) and development (n = 9...

  • Article
  • Open Access
1 Citations
3,288 Views
12 Pages

Analysis of Running in Wilson’s Disease

  • Sara Samadzadeh,
  • Harald Hefter,
  • Osman Tezayak and
  • Dietmar Rosenthal

7 January 2022

Aim of the study was to analyze the ability of long-term treated patients with Wilson’s disease (WD) to run a distance of 40 m. 30 WD-patients from a single center were consecutively recruited. All patients were able to walk a distance of 40 m...

  • Article
  • Open Access
6 Citations
7,778 Views
15 Pages

6 January 2022

High-Intensity Interval Training (HIIT) is a time-efficient training method suggested to improve health and fitness for the clinical population, healthy subjects, and athletes. Many parameters can impact the difficulty of HIIT sessions. This study ai...

  • Article
  • Open Access
8 Citations
7,412 Views
14 Pages

Performance and Recovery of Well-Trained Younger and Older Athletes during Different HIIT Protocols

  • Laura Hottenrott,
  • Martin Möhle,
  • Sarah Feichtinger,
  • Sascha Ketelhut,
  • Oliver Stoll and
  • Kuno Hottenrott

5 January 2022

Due to physiological and morphological differences, younger and older athletes may recover differently from training loads. High-intensity interval training (HIIT) protocols are useful for studying the progression of recovery. It was the objective of...

  • Article
  • Open Access
24 Citations
27,605 Views
12 Pages

4 January 2022

This study examined the effects of two different resistance loads during high-intensity Functional Training (HIFT) on body composition and maximal strength. Thirty-one healthy young individuals were randomly assigned into three groups: moderate load...

  • Review
  • Open Access
25 Citations
17,568 Views
18 Pages

Velocity-Based Resistance Training on 1-RM, Jump and Sprint Performance: A Systematic Review of Clinical Trials

  • Mateo Baena-Marín,
  • Andrés Rojas-Jaramillo,
  • Jhonatan González-Santamaría,
  • David Rodríguez-Rosell,
  • Jorge L. Petro,
  • Richard B. Kreider and
  • Diego A. Bonilla

4 January 2022

Weight resistance training (RT) has been shown to positively influence physical performance. Within the last two decades, a methodology based on monitoring RT through movement velocity (also called velocity-based resistance training, VBRT) has emerge...

  • Article
  • Open Access
8 Citations
4,557 Views
11 Pages

29 December 2021

The target of this study was to investigate the acute effect of a supramaximal augmented eccentric load on the kinematics and myoelectric activity during the concentric phase of the lift in a traditional bench press. Ten resistance-trained males (age...

  • Article
  • Open Access
19 Citations
7,526 Views
15 Pages

24 December 2021

This study aimed to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer based on training load data. Twenty-two young soccer players (age: 13.5 ± 0.3 years) were recruited, and...

  • Article
  • Open Access
9 Citations
4,570 Views
16 Pages

A Novel Monitoring System (AUT FIT) for Anthropometrics and Physical Fitness in Primary School Children in Austria: A Cross-Sectional Pilot Study

  • Gerald Jarnig,
  • Johannes Jaunig,
  • Reinhold Kerbl,
  • Rodrigo Antunes Lima and
  • Mireille N. M. van Poppel

24 December 2021

Monitoring of anthropometric and physical fitness parameters in primary school children is important for the prevention of future health problems. Many of the existing test batteries that are useful for monitoring require expensive test materials, sp...

  • Review
  • Open Access
60 Citations
17,715 Views
16 Pages

24 December 2021

In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly increased. Due to the number of works and experiments already present in the stat...

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Sports - ISSN 2075-4663