Exercise intensity during official soccer matches

Coelho, Daniel Barbosa; Paixão, Rodney Coelho da; Oliveira, Emerson Cruz de; Becker, Lenice Kappes; Júnior, João Batista Ferreira; Coelho, Leonardo Gomes Martins; Dias, João Carlos Teixeira; Silami-Garçia, Emerson

doi:10.5007/1980-0037.2016v18n6p621

Cited by 8 publications

(10 citation statements)

References 22 publications

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“…Although the reserve balls were prepared around the playing field, when the game started again, the players couldn´t keep the HR values at a high level. Coelho et al (2016) found that the players spent a statistically significant more time above the ANT level in the first half of the match than in the second half. By using small forms of the SSG games, it is possible for us to prepare the players for the load at such level.…”

Section: Discussionmentioning

confidence: 83%

Intensity of Soccer Players’ Training Load in Small-Sided Games with Various Content Focus

Nagy

Holienka

Babič

et al. 2019

Acta Facultatis Educationis Physicae Universitatis Comenianae

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Summary The aim of this research was to make reference to the difference in heart rate values (HR) of soccer players in small-sided games (SSG) with various content focus. We assumed that the aim at the content in small-sided games would significantly affect the HR values of participating soccer players. The research group was comprised of players (n = 6) of the soccer club FK DAC 1904 Dunajská Streda (U15) at the age of 14 ± 0.7 years. The HR values were evaluated on the basis of collected data, which we obtained using sport testers and special software POLAR TEAM2. In order to find out the statistical significance of the difference in HR was used the One-Way ANOVA and the Bonferroni post hoc test. The level of statistical significance was set at 5 %. We found out that by the change of the small-sided game’s content focus, the internal reaction of players’ organism to training load was at different level. In the SSG3, with the emphasis on the improvement of individual’s final offensive game activity – shooting, was recorded the highest achieved HRavg value of the monitored players (181.83 ±7.11 beats.min−1). This form of the SSG was the most intense. However, there were no significant differences in HR values among the individual forms of the SSG. Our recommendation is to employ in the systematic training process small forms of small-sided games with various content focus, because by the means of it we can adequately prepare the players for the match load itself.

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Section: Discussionmentioning

confidence: 83%

Intensity of Soccer Players’ Training Load in Small-Sided Games with Various Content Focus

Nagy

Holienka

Babič

et al. 2019

Acta Facultatis Educationis Physicae Universitatis Comenianae

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“…After screening the title, abstract and full text, a total of 24 studies were included in this systematic review (Figure 1). A description of the 24 included articles is presented in Table I (Al‐Jaser & Hasan, 2006; Aragón‐Vargas, Moncada‐Jiménez, Hernández‐Elizondo, Barrenechea, & Monge‐Alvarado, 2009; Castro‐Sepulveda et al, 2015; Castro‐Sepulveda, Astudillo, Letelier, & Zbinden‐Foncea, 2016; Chapelle et al, 2017; Coelho et al, 2012; Da Silva et al, 2012; Diaw et al, 2014; Duffield, Mccall, Coutts, & Peiffer, 2012; Gibson, Stuart‐Hill, Pethick, & Gaul, 2012; Gordon, Kassier, & Biggs, 2015; Guttierres, Natali, Vianna, Reis, & Marins, 2011; Harvey, Meir, Brooks, & Holloway, 2008; Kilding et al, 2009; Kurdak et al, 2010; Magee, Gallagher, & Mccormack, 2017; Mattausch et al, 2017; Maughan, Merson, Broad, & Shirreffs, 2004; Maughan, Shirreffs, Merson, & Horswill, 2005; Maughan, Watson, Evans, Broad, & Shirreffs, 2007; Philips, Sykes, & Gibson, 2014; Silva et al, 2011; Van Biervliet et al, 2013; Williams & Blackwell, 2012). The Cohen's kappa between the two researchers was 0.93 for the independent systematic search and 1.00 for data extraction.…”

Section: Resultsmentioning

confidence: 99%

“…To examine the hydration status, 17 studies used USG (Al‐Jaser & Hasan, 2006; Aragón‐Vargas et al, 2009; Castro‐Sepulveda et al, 2015; Castro‐Sepulveda, Astudillo et al, 2016; Chapelle et al, 2017; Da Silva et al, 2012; Diaw et al, 2014; Duffield et al, 2012; Gibson et al, 2012; Gordon et al, 2015; Guttierres et al, 2011; Kilding et al, 2009; Kurdak et al, 2010; Magee et al, 2017; Mattausch et al, 2017; Philips et al, 2014; Silva et al, 2011), 3 studies used U Osm (Maughan et al, 2004, 2005, 2007), 2 studies used a combination of USG and U Osm (Coelho et al, 2012; Van Biervliet et al, 2013), 1 study used a combination of USG and U Col (Harvey et al, 2008), and 1 study used a combination of U Osm and U Col (Williams & Blackwell, 2012). A total of 19 studies assessed male soccer players (Al‐Jaser & Hasan, 2006; Aragón‐Vargas et al, 2009; Castro‐Sepulveda et al, 2015; Coelho et al, 2012; Da Silva et al, 2012; Diaw et al, 2014; Duffield et al, 2012; Gordon et al, 2015; Guttierres et al, 2011; Harvey et al, 2008; Kurdak et al, 2010; Magee et al, 2017; Maughan et al, 2004; Maughan et al, 2005; Maughan et al, 2007; Philips et al, 2014; Silva et al, 2011; Van Biervliet et al, 2013; Williams & Blackwell, 2012) whereas 5 studies examined female soccer players (Castro‐Sepulveda et al, 2015; Chapelle et al, 2017; Gibson et al, 2012; Kilding et al, 2009; Mattausch et al, 2017). Professional level soccer players were analysed in 19 studies (Al‐Jaser & Hasan,…”

Section: Resultsmentioning

confidence: 99%

“…A total of 19 studies assessed male soccer players (Al‐Jaser & Hasan, 2006; Aragón‐Vargas et al, 2009; Castro‐Sepulveda et al, 2015; Coelho et al, 2012; Da Silva et al, 2012; Diaw et al, 2014; Duffield et al, 2012; Gordon et al, 2015; Guttierres et al, 2011; Harvey et al, 2008; Kurdak et al, 2010; Magee et al, 2017; Maughan et al, 2004; Maughan et al, 2005; Maughan et al, 2007; Philips et al, 2014; Silva et al, 2011; Van Biervliet et al, 2013; Williams & Blackwell, 2012) whereas 5 studies examined female soccer players (Castro‐Sepulveda et al, 2015; Chapelle et al, 2017; Gibson et al, 2012; Kilding et al, 2009; Mattausch et al, 2017). Professional level soccer players were analysed in 19 studies (Al‐Jaser & Hasan, 2006; Aragón‐Vargas et al, 2009; Castro‐Sepulveda et al, 2015; Castro‐Sepulveda et al, 2016; Chapelle et al, 2017; Coelho et al, 2012; Da Silva et al, 2012; Duffield et al, 2012; Gibson et al, 2012; Guttierres et al, 2011; Harvey et al, 2008; Kilding et al, 2009; Maughan et al, 2004; Maughan et al, 2005; Maughan et al, 2007; Philips et al, 2014; Silva et al, 2011; Van Biervliet et al, 2013; Williams & Blackwell, 2012) and 5 studies examined recreational players (Diaw et al, 2014; Gordon et al, 2015; Kurdak et al, 2010; Magee et al, 2017; Mattausch et al, 2017). Hydration status before a training session was investigated in 11 studies (Castro‐Sepulveda et al, 2015; Duffield et al,…”

Section: Resultsmentioning

confidence: 99%

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Pre‐exercise hypohydration prevalence in soccer players: A quantitative systematic review.

Chapelle

Tassignon

Rommers

et al. 2019

European Journal of Sport Science

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Pre-exercise hypohydration can impair soccer performance and has been extensively studied in different soccer populations. Therefore, the aim of this systematic review was to report hypohydration prevalence, measured by blood or urine samples, in different soccer populations based on sex (males and females), performance level (professional and recreational players) and context (training sessions and games). The Pubmed, Web of Science and SPORTDiscus databases were systematically searched until November 2018. Data were pooled to compare hypohydration prevalence between the different subgroups. Following the systematic search selection process, 24 studies were included. The results indicated that overall pre-exercise hypohydration prevalence was 63.3%, 37.4% and 58.8% for urine specific gravity (USG), urine osmolality (U Osm) and urine colour, respectively. Furthermore, no study implemented blood samples to examine hypohydration prevalence in soccer players. The subgroup analyses using USG data indicated that pre-exercise hypohydration prevalence was significantly higher amongst males (66.0%; p = 0.001), professional soccer players (66.2%; p = 0.020) and before a training session (79.6%; p < 0.001). Pre-exercise hypohydration prevalence was 46.8% among female soccer players, 55.6% in recreational soccer players and 41,3% before a game. The subgroup analyses using U Osm data indicated that hypohydration prevalence was significantly higher before a training session (52.6%; p = 0.023). Based on these results, it can be concluded that hypohydration prevalence in soccer players is of major concern. Future research should explore how pre-exercise hydration status can be improved in a sustainable way.

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“…This mental condition at the end of exercises can be common in several modalities with similar physiological demands and intensity 28,29 midfielders, forwards and wingabcks. A possible explanation for these results can be supported by the theory of the central governor 30 by which fatigue is caused, mainly in aerobic exercises, being signaled by the brain acting to preserve the body's cellular homeostasis 31,32 .…”

Section: Discussionmentioning

confidence: 96%

What is the effect of vigorous exercise on the brain?

Pereira

Fonseca

Elsangedy

2021

Motriz: rev. educ. fis.

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This study aimed to verify whether vigorous exercise is capable of generating mental fatigue. Methods: To do so, 16 young adult male (29.4 ± 5.2 years old) cyclists (5.4 ± 4.6 years of training) underwent three visits: 1) control session (rest); 2) session with cognitive demand (20 minutes of AX-CPT); 3) session with vigorous exercise (10km time trial). Mental fatigue was assessed using the visual analog scale of fatigue in the preand post-session moments. A two-way ANOVA of repeated measures followed by the Bonferroni posthoc was used to verify the effect of the condition (control, cognitive demand, and exercise) and time (pre and post) interaction. The paired "t" test was used to compare the delta of mental fatigue (post -pre) of the sessions. The partial eta squared was used to determine the effect size of the variance. The significance adopted was p < 0.05. Results: A condition x time interaction was observed (F (2.30) = 5.349, p = 0.010, partial η2 = 0.263). When comparing the deltas, a mean difference was found between the control and vigorous exercise (p = 0.033) conditions and cognitive demand and vigorous exercise (p = 0.017) conditions. Control and cognitive demand sessions showed no difference (p = 0.801). Conclusion: The findings suggest that intense physical exercise seems to cause mental fatigue after practice.

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Exercise intensity during official soccer matches

Cited by 8 publications

References 22 publications

Intensity of Soccer Players’ Training Load in Small-Sided Games with Various Content Focus

Intensity of Soccer Players’ Training Load in Small-Sided Games with Various Content Focus

Pre‐exercise hypohydration prevalence in soccer players: A quantitative systematic review.

What is the effect of vigorous exercise on the brain?

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