Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals

Frank S. Suzuki; Anderson C. Paulo; Marcos R.R. Pauksnis; Alexandre L. Evangelista; Marcelo M. Kalytczak; Fabiano Politti; Roberta L. Rica; Andrey J. Serra; Adriano F. Maia; Julien S. Baker; Brad Schoenfeld; Danilo S. Bocalini

doi:10.1590/S1980-6574201900010008

Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals

Frank S. Suzuki, Anderson C. Paulo, Marcos R.R. Pauksnis, Alexandre L. Evangelista, Marcelo M. Kalytczak, Fabiano Politti, Roberta L. Rica, Andrey J. Serra, Adriano F. Maia, Julien S. Baker, Brad Schoenfeld, Danilo S. Bocalini

School of Health and Life Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

139 Downloads (Pure)

Abstract

AimTo determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions.

Methods20 participants (27±7 years old), classified as active (A=10) and inactive (I=10), performed 10x10:40secs of maximal unilateral knee flexions and extensions at 120o.s-1. The IPT, EMG, glucose, LDH and lactate concentrations and perceptions of pain, effort, recovery.
ResultsActive volunteers showed higher muscularity (52±5 vs 47±4 cm; p<0.05), PTI (262±4 vs 185±4 Nm; p<0.05), relative lower drop in performance (14±2 vs 27±3% ; p<0.05), major MDF (83±1 vs 76±1 Hz; p<0.05), lower log -Fins5 (-12.9±0.3 vs -12.7 ± 0.3 Hz; p<0.05), smaller subjective perception of effort (14.8±0.3 vs 17.0±0.3) and higher subjective perception of recovery (14.2±0.2 vs 12.3±0.3). There was a significant interaction between relative fatigue and the number of sets (F=6.18; p<0.001). Stepwise multiple regressions revealed that subjective perception of recovery best explained the fatigue level generated in the active volunteers [fatigue level= 85.084–5255(SPR)] while for body mass was the best determinant for the inactive group [fatigue level = -21.560 +1.828(BMI)].
ConclusionData from the present analysis suggest that physically active individuals show higher torque development and a smaller fatigability index when compared to inactive individuals. Among the fatigue models studied, it is possible that alterations in biochemical components, psychophysiological and EMG are not sensitive to the direct influence of the fatigue dynamics protocol, both in active or inactive individuals.

Original language	English
Number of pages	8
Journal	Motriz, Journal of Physical Education
Volume	25
Issue number	2
Early online date	6 May 2019
DOIs	https://doi.org/10.1590/S1980-6574201900010008
Publication status	E-pub ahead of print - 6 May 2019

Keywords

physical activity levels
isokinetic
electromyography
lactate
lactate dehydrogenase
psychophysiological scale

Access to Document

10.1590/S1980-6574201900010008Licence: CC BY

2018 09 26 Baker et al MultivariateAccepted author manuscript, 1.03 MBLicence: CC BY

Cite this

Suzuki, F. S., Paulo, A. C., Pauksnis, M. R. R., Evangelista, A. L., Kalytczak, M. M., Politti, F., Rica, R. L., Serra, A. J., Maia, A. F., Baker, J. S., Schoenfeld, B., & Bocalini, D. S. (2019). Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals. Motriz, Journal of Physical Education, 25(2). Advance online publication. https://doi.org/10.1590/S1980-6574201900010008

@article{4b0549c1105147aba7c5a9213e32b1eb,

title = "Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals",

abstract = "AimTo determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions. Methods20 participants (27±7 years old), classified as active (A=10) and inactive (I=10), performed 10x10:40secs of maximal unilateral knee flexions and extensions at 120o.s-1. The IPT, EMG, glucose, LDH and lactate concentrations and perceptions of pain, effort, recovery. ResultsActive volunteers showed higher muscularity (52±5 vs 47±4 cm; p<0.05), PTI (262±4 vs 185±4 Nm; p<0.05), relative lower drop in performance (14±2 vs 27±3% ; p<0.05), major MDF (83±1 vs 76±1 Hz; p<0.05), lower log -Fins5 (-12.9±0.3 vs -12.7 ± 0.3 Hz; p<0.05), smaller subjective perception of effort (14.8±0.3 vs 17.0±0.3) and higher subjective perception of recovery (14.2±0.2 vs 12.3±0.3). There was a significant interaction between relative fatigue and the number of sets (F=6.18; p<0.001). Stepwise multiple regressions revealed that subjective perception of recovery best explained the fatigue level generated in the active volunteers [fatigue level= 85.084–5255(SPR)] while for body mass was the best determinant for the inactive group [fatigue level = -21.560 +1.828(BMI)]. ConclusionData from the present analysis suggest that physically active individuals show higher torque development and a smaller fatigability index when compared to inactive individuals. Among the fatigue models studied, it is possible that alterations in biochemical components, psychophysiological and EMG are not sensitive to the direct influence of the fatigue dynamics protocol, both in active or inactive individuals.",

keywords = "physical activity levels, isokinetic, electromyography, lactate, lactate dehydrogenase, psychophysiological scale",

author = "Suzuki, {Frank S.} and Paulo, {Anderson C.} and Pauksnis, {Marcos R.R.} and Evangelista, {Alexandre L.} and Kalytczak, {Marcelo M.} and Fabiano Politti and Rica, {Roberta L.} and Serra, {Andrey J.} and Maia, {Adriano F.} and Baker, {Julien S.} and Brad Schoenfeld and Bocalini, {Danilo S.}",

year = "2019",

month = may,

day = "6",

doi = "10.1590/S1980-6574201900010008",

language = "English",

volume = "25",

journal = "Motriz, Journal of Physical Education",

issn = "1415-9805",

publisher = "Universidade Estadual Paulista (UNESP)",

number = "2",

}

Suzuki, FS, Paulo, AC, Pauksnis, MRR, Evangelista, AL, Kalytczak, MM, Politti, F, Rica, RL, Serra, AJ, Maia, AF, Baker, JS, Schoenfeld, B & Bocalini, DS 2019, 'Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals', Motriz, Journal of Physical Education, vol. 25, no. 2. https://doi.org/10.1590/S1980-6574201900010008

TY - JOUR

T1 - Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals

AU - Suzuki, Frank S.

AU - Paulo, Anderson C.

AU - Pauksnis, Marcos R.R.

AU - Evangelista, Alexandre L.

AU - Kalytczak, Marcelo M.

AU - Politti, Fabiano

AU - Rica, Roberta L.

AU - Serra, Andrey J.

AU - Maia, Adriano F.

AU - Baker, Julien S.

AU - Schoenfeld, Brad

AU - Bocalini, Danilo S.

PY - 2019/5/6

Y1 - 2019/5/6

N2 - AimTo determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions. Methods20 participants (27±7 years old), classified as active (A=10) and inactive (I=10), performed 10x10:40secs of maximal unilateral knee flexions and extensions at 120o.s-1. The IPT, EMG, glucose, LDH and lactate concentrations and perceptions of pain, effort, recovery. ResultsActive volunteers showed higher muscularity (52±5 vs 47±4 cm; p<0.05), PTI (262±4 vs 185±4 Nm; p<0.05), relative lower drop in performance (14±2 vs 27±3% ; p<0.05), major MDF (83±1 vs 76±1 Hz; p<0.05), lower log -Fins5 (-12.9±0.3 vs -12.7 ± 0.3 Hz; p<0.05), smaller subjective perception of effort (14.8±0.3 vs 17.0±0.3) and higher subjective perception of recovery (14.2±0.2 vs 12.3±0.3). There was a significant interaction between relative fatigue and the number of sets (F=6.18; p<0.001). Stepwise multiple regressions revealed that subjective perception of recovery best explained the fatigue level generated in the active volunteers [fatigue level= 85.084–5255(SPR)] while for body mass was the best determinant for the inactive group [fatigue level = -21.560 +1.828(BMI)]. ConclusionData from the present analysis suggest that physically active individuals show higher torque development and a smaller fatigability index when compared to inactive individuals. Among the fatigue models studied, it is possible that alterations in biochemical components, psychophysiological and EMG are not sensitive to the direct influence of the fatigue dynamics protocol, both in active or inactive individuals.

AB - AimTo determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions. Methods20 participants (27±7 years old), classified as active (A=10) and inactive (I=10), performed 10x10:40secs of maximal unilateral knee flexions and extensions at 120o.s-1. The IPT, EMG, glucose, LDH and lactate concentrations and perceptions of pain, effort, recovery. ResultsActive volunteers showed higher muscularity (52±5 vs 47±4 cm; p<0.05), PTI (262±4 vs 185±4 Nm; p<0.05), relative lower drop in performance (14±2 vs 27±3% ; p<0.05), major MDF (83±1 vs 76±1 Hz; p<0.05), lower log -Fins5 (-12.9±0.3 vs -12.7 ± 0.3 Hz; p<0.05), smaller subjective perception of effort (14.8±0.3 vs 17.0±0.3) and higher subjective perception of recovery (14.2±0.2 vs 12.3±0.3). There was a significant interaction between relative fatigue and the number of sets (F=6.18; p<0.001). Stepwise multiple regressions revealed that subjective perception of recovery best explained the fatigue level generated in the active volunteers [fatigue level= 85.084–5255(SPR)] while for body mass was the best determinant for the inactive group [fatigue level = -21.560 +1.828(BMI)]. ConclusionData from the present analysis suggest that physically active individuals show higher torque development and a smaller fatigability index when compared to inactive individuals. Among the fatigue models studied, it is possible that alterations in biochemical components, psychophysiological and EMG are not sensitive to the direct influence of the fatigue dynamics protocol, both in active or inactive individuals.

KW - physical activity levels

KW - isokinetic

KW - electromyography

KW - lactate

KW - lactate dehydrogenase

KW - psychophysiological scale

U2 - 10.1590/S1980-6574201900010008

DO - 10.1590/S1980-6574201900010008

M3 - Article

SN - 1415-9805

VL - 25

JO - Motriz, Journal of Physical Education

JF - Motriz, Journal of Physical Education

IS - 2

ER -

Multivariate linear regression analysis to evaluate multiple-set performance in active and inactive individuals

Abstract

Keywords

Access to Document

Fingerprint

Cite this