The Influence of Small-Sided Football Games with Numerical Variability in External Training Load

Sousa, Honorato; Gouveia, Élvio Rúbio; Marques, Adilson; Sarmento, Hugo; Pestana, Marcelo; Quintal, Tomás; Lopes, Hélder; Ihle, Andreas

doi:10.3390/su14021000

Cited by 4 publications

(5 citation statements)

References 37 publications

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“…PA volume and intensity can be measured via self‐reporting and device‐based instruments. For example, measurements of heart rate (Little & Williams, 2007) and the use of an accelerometer in football training are widely used (Sousa et al, 2022), but no empirical data for people with intellectual disabilities exist. This knowledge for Unified training is, however, important to understand the impact of such training on the behaviour of athletes and the underlying mechanisms (e.g., motivation) and to design optimal training sessions (e.g., selection of activities, intensity, minimum and maximum duration for specific exercises).…”

Section: Introductionmentioning

confidence: 99%

Differences in physical activity volume and intensity between Unified and non‐Unified Special Olympics football training: An observational pilot study

Kreinbucher‐Bekerle,

Perkounig,

Novak

et al. 2024

Research Intellect Disabil

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BackgroundThe participation of people with intellectual disabilities in Special Olympics sports and training opportunities offers numerous benefits for health and inclusion. However, little is known about the impact of such training on physical activity behaviour. Here, we evaluate the differences in physical activity volume and intensity of Special Olympics athletes between Unified and non‐Unified football training.MethodAccelerometer data of 12 male athletes from eight standardised training sessions (four Unified, four non‐Unified) were analysed.ResultsWhile there was no statistically significant difference for the main part of the training, athletes showed higher levels of physical activity intensity (MVPA: Mdiff = 11.74%; 95% CI = 5.50–17.97) and volume (average acceleration ENMO: Mdiff = 112.82 mg; 95% CI = 24.73–200.90) in a Unified compared to non‐Unified endurance‐related exercise task.ConclusionUnderstanding physical activity participation in different training types can help to design and implement future training programmes.

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Section: Introductionmentioning

confidence: 99%

Differences in physical activity volume and intensity between Unified and non‐Unified Special Olympics football training: An observational pilot study

Kreinbucher‐Bekerle,

Perkounig,

Novak

et al. 2024

Research Intellect Disabil

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“…In recent years, the monitoring methods of athletes' physiological and biochemical tests have been widely used in sports teams. Still, with the rapid development of information technology, the traditional methods can not meet the actual needs of sports training of soccer players [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Design of physical function monitoring system for athletes in soccer training in college sports

Ji,

Sun,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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A comprehensive assessment of the physical capabilities and attributes of soccer players is essential for effective college soccer training. The ability to implement targeted tactical training relies on a thorough understanding of each player’s physical condition. This paper presents a monitoring system for soccer players’ bodily functions, developed using inertial sensor technology alongside Beer’s Law, tailored to recognize human body movement states and to measure blood oxygen and heart rate. The system’s efficacy in movement recognition and physiological monitoring was evaluated through comparative testing, assessing its performance against established algorithms. Notably, this system demonstrated a 9.75% improvement in the average accuracy for recognizing walking and running actions compared to the Juha Parkka decision tree algorithm and a 6.5% increase in accuracy over the D.M. Karantonis algorithm for walking action recognition. Heart rate measurements incurred an error of approximately ±2 BPM, with a maximum error of 1.7, and oxygen saturation monitoring displayed an error margin of ±2%, with a maximum deviation of 1.6. These deviations fall within acceptable limits. The results of this study furnish valuable data to support the customization of training content and intensity for college soccer athletes and offer insights for optimizing player selection and tactical strategies during matches.

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“…The long-term viability of monitoring and analyzing training loads is essential. Sustainable sports training prioritizes both the well-being of players and the survival of the sport in the long run [6]. Athlete tracking, wearable technology, and physiological monitoring can assist coaches and trainers improve the health and well-being of their athletes, while also maximizing their performance.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the bibliometric progress of sustainable monitoring and analysis of sports training loads

Xing,

Bibi,

Zhang

et al. 2023

Ann Agric Environ Med.

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Introduction and Objective.In recent years, load monitoring and analysis have become increasingly important in athletic training. The aim of this study was to provide a background for businesses and institutes to prepare for the implementation of load training and analysis in sports training, utilizing visual analysis of CiteSpace (CS) software. Materials and method. A total of 169 original publications were obtained from Web of Science using a comprehensive list for analysis with the CS scientometrics program. The parameters included range (2012-2022), visualization (display of completely integrated networks), precise collection criteria (top 10%), node form (institution, author, area, reference cited; referenced author, key words, and journal), and trimming (pathfinder, slice network).Results. Visual analysis of load monitoring and analysis for use in athletic training showed that 'questionnaire' was the most popular topic area in 2017 with 51 citations, while 'training programmes' emerged as a new area of study with 8 citations. In 2021 and 2022, the terms 'energy expenditure', 'responses', 'heart rate', and 'validity' gained popularity, increasing from a strength of 1.81 to 1.1. Liverpool John Moores University was the top institution, collaborating with 14 other organizations. The leading authors in this field were Close, Graeme L., and Gastin, Paul B. Most publications were found in the 'SPORTS MED' journal, with authors primarily based in the United Kingdom, the United States, and Australia. Conclusions. The findings of the study highlight the potential frontiers of load training analysis in the research and management of sports, emphasizing the importance of preparing businesses and institutes for the implementation of load training, and analysis in athletic training.

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The Influence of Small-Sided Football Games with Numerical Variability in External Training Load

Cited by 4 publications

References 37 publications

Differences in physical activity volume and intensity between Unified and non‐Unified Special Olympics football training: An observational pilot study

Differences in physical activity volume and intensity between Unified and non‐Unified Special Olympics football training: An observational pilot study

Design of physical function monitoring system for athletes in soccer training in college sports

Analyzing the bibliometric progress of sustainable monitoring and analysis of sports training loads

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