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Do you Play or Do you Train? Insights From Individual Sports for Training Load and Injury Risk Management in Team Sports Based on Individualization
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Frontiers in Physiology
Cita Bibliográfica
Casado, A.; Claudino, J. G.; Jiménez-Reyes, P.; Ravé, G.; Castaño-Zambudio, A.; Lima-Alves, A.; De Oliveira, S. A.; Dupont, G.; Granacher, U.; Zouhal, H.; Boullosa Álvarez, D. A. (2020). Do you Play or Do you Train? Insights From Individual Sports for Training Load and Injury Risk Management in Team Sports Based on Individualization. Frontiers in Physiology, 11
Editorial
Frontiers Media
Fecha
2020
Resumen
[EN] The understanding of the potential causes of musculoskeletal injuries in any competitive sport
needs to address their multifactorial nature, which results from complex associations among
different external conditions and modifiable and non-modifiable intrinsic risk factors (Drew and
Purdam, 2016; Kalkhoven et al., 2020a). In this context, the cause of any non-contact injury merely
results from a sum of loads generating a force that exceeds the limit supported by the respective
biological tissue (Zernicke and Whiting, 2008). Consequently, it has been suggested that a poor
load management is a major risk factor for injury in sport settings (Gabbett, 2016).
One novel monitoring tool for injury risk management is the acute: chronic workload ratio
(ACWR). The ACWR is currently in the spot light of sport sciences (Griffin et al., 2020; Maupin
et al., 2020). While some emerging evidence suggests that it is a valid method to identify an
increased injury risk (Andrade et al., 2020), other authors have pointed out its methodological
limitations and even questioned its validity (Impellizzeri et al., 2020; Wang et al., 2020). Proponents
of the ACWR approach argue that athletes are at greater risk of sustaining a time-loss injury when
the ACWR is higher relative to a lower or moderate ACWR (Andrade et al., 2020). In other words,
the ACWR helps to identify critical windows in terms of elevated injury risk based on imbalanced
training loading as for example sudden spike loads (Bowen et al., 2020).
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