Reliability and validity of velocity measures and regression methods to predict maximal strength ability in the back-squat using a novel linear position transducer

Kilgallon, Jonathan; Cushion, Emily; Joffe, Shaun A.; Tallent, Jamie

doi:10.1177/17543371221093189

Cited by 12 publications

(9 citation statements)

References 76 publications

(128 reference statements)

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“…The Vmaxpro sensor was validated and showed a velocity prediction accuracy of 99% for the deadlift ( 18 ). The minimum detectable difference at loads above 20% 1RM is 0.1 m/s ( 19 ). Hence, we used a load of 40 kg (30% of the maximum included 1RM) and set a maximum 1RM of 130 kg (100% of the maximum included 1RM) as the inclusion criterion for TF.…”

Section: Methodsmentioning

confidence: 99%

Thoracolumbar fascia deformation during deadlifting and trunk extension in individuals with and without back pain

et al. 2023

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BackgroundAlterations in posture, lumbopelvic kinematics, and movement patterns are commonly seen in patients with low back pain. Therefore, strengthening the posterior muscle chain has been shown to result in significant improvement in pain and disability status. Recent studies suggest that thoracolumbar fascia (TLF) has a major impact on the maintenance of spinal stability and paraspinal muscle activity, and thus is likely to have an equal impact on deadlift performance.ObjectiveAim of the study was to evaluate the role of thoracolumbar fascia deformation (TFLD) during spinal movement in track and field athletes (TF) as well as individuals with and without acute low back pain (aLBP).MethodsA case–control study was performed with n = 16 aLBP patients (cases) and two control groups: untrained healthy individuals (UH, n = 16) and TF (n = 16). Participants performed a trunk extension task (TET) and a deadlift, being assessed for erector spinae muscle thickness (EST) and TLFD using high-resolution ultrasound imaging. Mean deadlift velocity (VEL) and deviation of barbell path (DEV) were measured by means of a three-axis gyroscope. Group differences for TLFD during the TET were examined using ANOVA. Partial Spearman rank correlations were calculated between TLFD and VEL adjusting for baseline covariates, EST, and DEV. TLFD during deadlifting was compared between groups using ANCOVA adjusting for EST, DEV, and VEL.ResultsTLFD during the TET differed significantly between groups. TF had the largest TLFD (−37.6%), followed by UH (−26.4%), while aLBP patients had almost no TLFD (−2.7%). There was a strong negative correlation between TLFD and deadlift VEL in all groups (r = −0.65 to −0.89) which was highest for TF (r = −0.89). TLFD during deadlift, corrected for VEL, also differed significantly between groups. TF exhibited the smallest TLFD (−11.9%), followed by aLBP patients (−21.4%), and UH (−31.9%).ConclusionTFLD maybe a suitable parameter to distinguish LBP patients and healthy individuals during lifting tasks. The cause-effect triangle between spinal movement, TFLD and movement velocity needs to be further clarified.Clinical trial registrationhttps://drks.de/register/de/trial/DRKS00027074/, German Clinical Trials Register DRKS00027074.

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Section: Methodsmentioning

confidence: 99%

Thoracolumbar fascia deformation during deadlifting and trunk extension in individuals with and without back pain

et al. 2023

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“…There is a substantial volume of research indicating that using an LVP calculated from the velocity during submaximal warm-up sets is not a valid method of predicting 1RM. 6,7,19,55 For example, Macarilla et al 19 reported an average overestimation of 38.53 kg and limits of agreement of ±82 kg when comparing directly measured back squat 1RM to back squat 1RM estimated using an LVP, while Hughes et al 56 reported limits of agreement of ±19.65 to ±395.43 kg. The results of the current study align with the previous data, as deadlift 3RM estimated using the LVP did not agree with the directly measured 3RM (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

The stability of the deadlift three repetition maximum

Guppy

Nagatani

Poon

et al. 2023

International Journal of Sports Science & Coaching

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This study investigated the stability of three repetition maximum (3RM) strength during the deadlift. Eleven participants performed four testing sessions comprising a one repetition maximum test and 3RM tests separated by 48 h. Preparedness was assessed before each testing session using countermovement jumps and by measuring barbell velocity during each set of deadlifts. Trivial statistically significant differences were determined for the 3RM between T1 and both T2 ( p = 0.012; ES [95% CI] = −0.1 [−0.58, 0.41]) and T3 ( p = 0.027; ES [95% CI] = −0.09 [−0.57, −0.43]). No significant differences were noted between T2 and T3 ( p = 0.595; ES [95% CI] = 0.01 [−0.49, 0.50]). No significant differences in jump height ( p = 0.071), time-to-take-off ( p = 0.862), eccentric displacement ( p = 0.209), or mean force during any countermovement jump sub-phase were found between each session ( p = 0.529–0.913). Small differences in barbell mean velocity were found between both T1–T2 (effect size statistics (ES) = −0.21–0.27) and T2–T3 (ES = 0.31–0.48), while trivial differences were found at others. Therefore, 3RM deadlift strength appears stable enough over a microcycle to continue using traditionally recommended heavy/light programming strategies.

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“…Rest periods were 2 min between warm-up sets. Load-velocity profiles and validity of 1-RM prediction methods in different exercises using the Vitruve linear position transducer have been proven reliable (Kilgallon et al, 2022;Pérez-Castilla et al, 2019).…”

Section: Description Of Strength Training Methods and Velocitiesmentioning

confidence: 97%

impact of velocity-based movement on electromyography activity in standard lower-limb strength exercises

Ferri-Caruana,

Muñoz-Gómez,

Mollà-Casanova

et al. 2023

sci. j. sport perform.

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Previous research has shown that the velocity of movement can influence muscle activation. However, no studies have investigated the impact of movement velocity under the same load conditions on electromyography (EMG) activity in knee and hip extensors. This study aims to compare the mean muscle activation of gluteus maximus [GM], biceps femoris [BF], semitendinosus [ST] and rectus femoris [RF] in three hip extension exercises (i.e., squat [SQ], hip thrust [HT] and Bulgarian squat [BS]) with two different movement velocities (i.e., maximum velocity [MV] and controlled velocity [CV]). Fifteen physically active students participated. The mean EMG activity of all targeted muscles was measured. Maximum Voluntary Isometric Contraction was used to normalize EMG muscle activation. All muscles were activated to a greater extent in BS at MV than in the same exercise performed at CV. However, during the SQ exercise, EMG differences between velocities were only obtained for BF and GM, and in HT, only for GM (p < .05). In conclusion, higher velocity involves higher activation of the lower-limb muscles, depending on the physical test, and this can be used to better plan the functional recovery of injury, taking it into consideration for intensity progression and avoiding the risks of overly strenuous exercises.

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Reliability and validity of velocity measures and regression methods to predict maximal strength ability in the back-squat using a novel linear position transducer

Cited by 12 publications

References 76 publications

Thoracolumbar fascia deformation during deadlifting and trunk extension in individuals with and without back pain

Thoracolumbar fascia deformation during deadlifting and trunk extension in individuals with and without back pain

The stability of the deadlift three repetition maximum

impact of velocity-based movement on electromyography activity in standard lower-limb strength exercises

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