Literature DB >> 30650396

Relevance of evaluating the rate of torque development in ballistic contractions of submaximal amplitude.

Paolo Riccardo Brustio1, Roberto Casale, Giampiero Buttacchio, Marzia Calabrese, Marco Bruzzone, Alberto Rainoldi, Gennaro Boccia.   

Abstract

OBJECTIVE: The neuromuscular quickness capacity can be assessed by calculating the rate of torque development (RTD) during ballistic contractions of maximal (RTDmaximal) or submaximal (RTDsubmaximal) amplitudes. In a series of ballistic contractions of submaximal amplitudes, the RTD scaling factor (RTD-SF) represents the slope of the linear regression between achieved peak torques and the corresponding RTD. First we investigated whether the RTD-SF contributes to the prediction, together with maximal voluntary torques (MVT), of the RTDmaximal. Then, we evaluated the agreement between the z-scores of RTDmaximal and RTDsubmaximal. APPROACH: The MVT was obtained for the quadriceps and hamstrings muscles of 22 elite young soccer players. RTD-SF was quantified in a series of ballistic contractions of submaximal and maximal amplitudes. RTDsubmaximal was estimated from the regression relationship between the peak torques and the corresponding RTD. MAIN
RESULTS: MVT, RTD-SF and y -intercept in total accounted for 76.9 and 61.2% of the variance in RTDmaximal in quadriceps and hamstrings, respectively. Specifically, RTD-SF accounted for 13.7% and 18.7% of the variance in RTDmaximal, respectively. Generally, the agreement between the z-scores of RTDmaximal and RTDsubmaximal was poor both in quadriceps and hamstrings. SIGNIFICANCE: These results suggest that RTD-SF may have a functional relevance in the relationship between MVT and RTDmaximal and influence the amount of torque that can be achieved in a quick muscle contraction. Moreover, evaluating the RTDsubmaximal does not provide results that are interchangeable with RTDmaximal. Thus, evaluating the RTD across the whole range of torque could provide additional meaningful information about neuromuscular quickness.

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Year:  2019        PMID: 30650396     DOI: 10.1088/1361-6579/aaff24

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  2 in total

Review 1.  The rate of force development scaling factor: a review of underlying factors, assessment methods and potential for practical applications.

Authors:  Žiga Kozinc; Darjan Smajla; Nejc Šarabon
Journal:  Eur J Appl Physiol       Date:  2022-01-19       Impact factor: 3.078

2.  Strength Asymmetries Are Muscle-Specific and Metric-Dependent.

Authors:  Gennaro Boccia; Samuel D'Emanuele; Paolo Riccardo Brustio; Luca Beratto; Cantor Tarperi; Roberto Casale; Tommaso Sciarra; Alberto Rainoldi
Journal:  Int J Environ Res Public Health       Date:  2022-07-12       Impact factor: 4.614

  2 in total

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