Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/103508
Título: The Influence of Small-Sided Football Games with Numerical Variability in External Training Load
Autor: Sousa, Honorato 
Gouveia, Elvio Rúbio 
Marques, Adilson
Sarmento, Hugo 
Pestana, Marcelo
Quintal, Tomás
Lopes, Helder
Ihle, Andreas
Palavras-chave: physiological response; external load; small-sided games; numerical variability
Data: 2022
Editora: MDPI
Projeto: Swiss National Centre of Competence in Research LIVES, “Overcoming Vulnerability: Life Course Perspectives,” granted by the Swiss National Science Foundation (grant number: 51NF40-185901) 
Swiss National Science Foundation (grant number: 10001C_189407) 
UIDB/50009/2020 
Título da revista, periódico, livro ou evento: Sustainability (Switzerland)
Volume: 14
Número: 2
Resumo: Small-sided games (SSGs) are a motivational strategy and effective training method to develop skills and physical fitness at optimal intensity. This study investigates the influence of variability in the number of players on the physiological response using SSGs. The sample was composed of 10 field players with an average age of 15.9 0.50 years old. Three sessions were held on 3 different days to collect information. The 10 min SSG exercise with temporal numerical variability was repeated twice on each day. The numerical ratio of players involved changed every 2 min without disrupting the practice. In a game space with 35 25 m, the exercise always started in a situation of 3 vs. 3. External training load metrics (i.e., physical activity counts, activity intensity, and energy expenditure) were assessed using Actigraph WGT3X accelerometers. The 3 vs. 3 format game had higher physical activity counts (i.e., higher vector magnitude) and requested more time spent in very vigorous physical activity intensity. Consequently, the 3 vs. 3 format in young football players had higher energy expenditure (i.e., a higher METs) than that in the other studied game formats. This study confirms the influence of SSGs with numerical variability in external training load.
URI: https://hdl.handle.net/10316/103508
ISSN: 2071-1050
DOI: 10.3390/su14021000
Direitos: openAccess
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