Training Mode’s Influence on the Relationships between Training-Load Models During Basketball Conditioning

Scanlan, Aaron T.; Wen, Neal; Tucker, PG; Borges, Nattai R.; Dalbo, Vincent J.

doi:10.1123/ijspp.2013-0410

Cited by 46 publications

(41 citation statements)

References 24 publications

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“…The relationship between objective and subjective methods has been widely analyzed in training tasks 5,6 and competition 8,9 in team sports. In our study, the relationship between RPE-based ML and HR-based ML methods was moderate (r = .627 for sRPEres ML and r =…”

Section: Discussionmentioning

confidence: 99%

“…2 Consequently, TL has been analyzed in many able-bodied team sports during training [2][3][4][5][6] and competitive match play. [7][8][9] Monitoring TL or match load (ML) helps the coach individualize training with respect to simulating game play via certain drills in training or indeed individualizing the physical load due to the player's positional requirements.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Wheelchair Basketball Match Load: A Comparison of Heart-Rate and Perceived-Exertion Methods

Iturricastillo¹,

Yanci²,

Granados³

et al. 2016

International Journal of Sports Physiology and Performance

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Purpose:To describe the objective and subjective match load (ML) of wheelchair basketball (WB) and determine the relationship between session heart-rate (HR) -based ML and rating-of-perceived-exertion (RPE) -based ML methods.Methods:HR-based measurements of ML included Edwards ML and Stagno training impulses (TRIMPMOD), while RPE-based ML measurements included respiratory (sRPEres) and muscular (sRPEmus). Data were collected from 10 WB players during a whole competitive season.Results:Edwards ML and TRIMPMOD averaged across 16 matches were 255.3 ± 66.3 and 167.9 ± 67.1 AU, respectively. In contrast, sRPEres ML and sRPEmus ML were found to be higher (521.9 ± 188.7 and 536.9 ± 185.8 AU, respectively). Moderate correlations (r = .629–.648, P < .001) between Edwards ML and RPE-based ML methods were found. Moreover, similar significant correlations were also shown between the TRIMPMOD and RPE-based ML methods (r = .627–.668, P < .001). That said, only ≥40% of variance in HR-based ML was explained by RPE-based ML, which could be explained by the heterogeneity of physical-impairment type.Conclusion:RPE-based ML methods could be used as an indicator of global internal ML in highly trained WB players.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying Wheelchair Basketball Match Load: A Comparison of Heart-Rate and Perceived-Exertion Methods

Iturricastillo¹,

Yanci²,

Granados³

et al. 2016

International Journal of Sports Physiology and Performance

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“…In basketball, the majority of external load research has been based on video analyses (Abdelkrim, et al, 2010;Delextrat, et al, 2015;Klusemann, et al, 2013), while only several investigators used GPS with accelerometry technology in friendly matches (Montgomery, Pyne, & Minahan, 2010;Puente, et al, 2016) and training sessions Montgomery, et al, 2010;Scanlan, et al, 2014). The microtechnology used in devices, such as accelerometers, magnetometers and gyroscopes, can provide information related to changes in velocity (accelerations, decelerations and changes of directions) and other inertial-based events such as jumps, impacts, stride variables, etc.…”

Section: Introductionmentioning

confidence: 99%

“…In a growing body of research, internal training load parameters have been measured using methods such as oxygen consumption (Castagna, Impellizzeri, Chaouachi, Abdelkrim, & Manzi, 2011), blood lactate measurement (Abdelkrim, et al, 2010;Castagna, et al, 2011;Marcelino, et al, 2016), heart rate monitoring Conte, Favero, Niederhausen, Capranica, & Tessitore, 2015, 2016Klusemann, Pyne, Hopkins, & Drinkwater, 2013;Puente, Abian-Vicen, Areces, Lopez, & Del Coso, 2016;Torres-Ronda, et al, 2015) and, the very simple method of rating of perceived exertion (RPE) (Arruda, et al, 2014;Leite, et al, 2012;Manzi, et al, 2010;Nunes, et al, 2014;Scanlan, Wen, Tucker, Borges, & Dalbo, 2014). Foster et al (2001) stated that the use of the session-RPE (sRPE) method might help coaches and athletes achieve their goals while minimizing undesired training outcomes and overtraining.…”

Section: Introductionmentioning

confidence: 99%

Load monitoring system in top-level basketball team

Svilar

Castellano

Jukić

2018

Kinesiology (Zagreb, Online)

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Abstract:The study aimed to describe and compare the external training load, monitored using microtechnology, with the internal training load, expressed as the session rating of perceived exertion (sRPE), in elite male basketball training sessions. Thirteen professional basketball players participated in this study (age=25.7±3.3 years; body height=199.2±10.7 cm; body mass=96.6±9.4 kg). All players belonged to the same team, competing in two leagues, ACB and the Euroleague, in the 2016/2017 season. The variables assessed within the external motion analysis included: player load (PL), acceleration and deceleration (ACC/DEC), jumps (JUMP), and changes of direction (CoD). The internal demands were registered using the sRPE method. Pearson productmoment correlations were used to determine relationships between the variables. A significant correlation was observed between the external load variables and sRPE (range r=0.71-0.93). Additionally, the sRPE variable showed a high correlation with the total PL, ACC, DEC, and CoD. The contrary was observed with respect to the relationship between sRPE and JUMP variables: the correlation was higher for the high band and lower for the total number of jumps. With respect to the external load variables, a stronger correlation was found between PL and the total number of ACC, DEC and CoD than the same variables within the high band. The only contrary finding was the correlation between PL and JUMP variables, which showed a stronger correlation for hJUMP. Tri-axial accelerometry technology and the sRPE method serve as valuable tools for monitoring the training load in basketball. Even though the two methods exhibit a strong correlation, some variation exists, likely due to frequent static movements (i.e., isometric muscle contractions) that accelerometers are not able to detect. Finally, it is suggested that both methods are to be used complementary, when possible, in order to design and control the training process as effectively as possible.

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“…Esse método vem sendo amplamente utilizado em estudos com diferentes modalidades esportivas, incluindo, por exemplo, o futebol (AKUBAT et al, 2012), rugby (LOVELL et al, 2013), basquetebol (MOREIRA et al, 2012aSCANLAN et al, 2014), voleibol (RODRÍGUEZ-MARROYO, 2014), futebol australiano (MOREIRA et al, 2015;SCOTT et al, 2012), natação (PSYCHARAKIS, 2011;WALLACE;SLATTERY;COUTTS, 2009), judô (VIVEIROS et al, 2011, tênis (GOMES et al, 2013), teamgym (MINGANTI et al, 2010), entre outros. A validade do método da PSE da sessão, para avaliar a carga de treinamento em diferentes tipos de treinamento (treinamento com pesos, treinamentos intervalados de alta intensidade, treinamento pliométrico, etc), também tem sido frequentemente reportada (FOSTER et al, 1995(FOSTER et al, , 2001HAMPSON et al, 2004;IMPELLIZZERI et al, 2004).…”

Section: Introductionunclassified

Carga interna de treinamento e respostas comportamentais em jovens ginastas

et al. 2015

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 RESUMOObjetivo deste estudo foi investigar a dinâmica da CIT (via método da PSE da sessão), da tolerância ao estresse (TE para fontes e sintomas; questionário DALDA) e dos sintomas de infecção do trato respiratório superior (ITRS; questionário WURSS-21) em 28 jovens ginastas (10,7 ± 1,3 anos), durante 8 semanas. Observou-se maior CIT (p< 0,001), menor TE (fontes, p=0,032) para o período com competição comparado ao período de treinamento sem competição; foram observadas correlações significantes (0,41-0,58) entre a CIT, TE e ITRS. Em conclusão, o aumento da CIT foi acompanhado pela redução da TE no período com competição, sugerindo maiores cargas de treinamento com a aproximação e realização de competições, comprometendo a TE. Esses resultados sugerem a importância de um monitoramento apropriado da CIT e TE e da correta manipulação das cargas de treinamento na ginástica, para minimizar os efeitos e respostas adaptativas negativas do treinamento, particularmente durante períodos com competição.Palavras-chave: Ginástica. Estresse. Monitoramento. Mestre.

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Training Mode’s Influence on the Relationships between Training-Load Models During Basketball Conditioning

Cited by 46 publications

References 24 publications

Quantifying Wheelchair Basketball Match Load: A Comparison of Heart-Rate and Perceived-Exertion Methods

Quantifying Wheelchair Basketball Match Load: A Comparison of Heart-Rate and Perceived-Exertion Methods

Load monitoring system in top-level basketball team

Carga interna de treinamento e respostas comportamentais em jovens ginastas

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