Single-subject analysis reveals variation in knee mechanics during step landing

Scholes, Corey; McDonald, Michael D.; Parker, Anthony W.

doi:10.1016/j.jbiomech.2012.05.046

Cited by 15 publications

(12 citation statements)

References 28 publications

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“…The I-vGRFpeak and interval between t1 and t2 during the landing phase were used to calculate side-to-side asymmetry. Continuous relative phase (CRP), as a measurement, was used to describe the patterns of interjoint coordination and information about the variability of coordination patterns [30], as the variability of coordination can well reflect the adaptability, the degree of sensory feedback, and degree of load-sharing of the lower extremity joints during jump-landing [31]. A value of zero indicates that both joints are moving fully in-phase, and a value of 180 represents a their movement in full antiphase [32].…”

Section: Discussionmentioning

confidence: 99%

Different Drop Heights in Bilateral Asymmetry and Interjoint Coordination during Repetitive Drop-Jumps

Zhang¹,

Li²,

Yao³

et al. 2021

Symmetry

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The difference of drop heights will affect the biomechanics of lower extremities during drop-jump (DJ) landing. Therefore, this study explored the effects of drop heights and training volumes on interjoint coordination and the side-to-side asymmetry of the lower extremities during landing. Twenty males were randomly assigned to perform 200 DJs (DJs200) from 30, 40 and 50 cm (drop-jump height (DJH) 30, DJH40 and DJH50) platform. One-way ANOVA repeated measure, using MATLAB software, was used to compare the differences of interjoint coordination, side-to-side asymmetry of ground contact time (GCT) and the maximum impact in vertical ground-reaction forces peak (I-vGRFpeak) in the 1st, 50th, 100th, 150th and 200th jumps (DJ1, DJs50, DJs100, DJs150 and DJs200). To examine whether significant differences exist, the least significant difference’s (LSD) method was used for post-hoc comparison. The mean absolute relative phase (MARP) and deviation phase (DP) of hip–knee were lower than DJH50 at DJH30 and DJH40, while side-to-side asymmetry of GCT and I-vGRFpeak were greater than DJH30 and DJH40 at DJH50 within DJs200 (all p <0.05). However, there was no significant difference in MARP and DP of hip–ankle and knee–ankle. Therefore, training at DJH30 may effectively improve jumping performance and reduce musculoskeletal injury risk.

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Section: Discussionmentioning

confidence: 99%

Different Drop Heights in Bilateral Asymmetry and Interjoint Coordination during Repetitive Drop-Jumps

Zhang¹,

Li²,

Yao³

et al. 2021

Symmetry

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“…For instance, a classic assessment of velocity variations during the support phase of running in elite runners showed that the average value calculated across participants did not represent any of the individuals from which the average was obtained [37]. Mean values that do not represent the individual subjects from which the mean was derived have also been observed more recently during running and step-off landings from an elevated platform [35] and during forward step landings [38]. Thus, it should not be surprising that the footwear tested here stimulated unique responses in these participants, and the average response used during previous group analyses may be an inappropriate representation of the individual participants.…”

Section: Discussionmentioning

confidence: 99%

Single-Subject Analyses Reveal Altered Performance and Muscle Activation during Vertical Jumping

et al. 2020

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Effects of barefoot and minimal footwear conditions on performance during jumping (i.e., jump displacement) are unclear with traditional group-level studies because of intra- and interindividual variability. We compared barefoot, minimal, and conventional athletic footwear conditions relative to countermovement vertical jump (CMVJ) performance and muscle activation using a single-subject approach. Fifteen men (1.8 ± 0.6 m; 84.5 ± 8.5 kg; 23.8 ± 2.3 y) performed three CMVJ trials in barefoot, minimal, and conventional footwear conditions while ground reaction forces (GRF) and electromyograms of eight lower extremity muscles were recorded. The Model Statistic procedure (α = 0.05) compared conditions for CMVJ displacement, net impulse, durations of unloading, eccentric, and concentric phases, and average muscle activation amplitudes during the phases. All variables were significantly altered by footwear (p < 0.05) in some participants, but no participant displayed a universal response to all variables with respect to the footwear conditions. Seven of 15 participants displayed different CMVJ displacements among footwear conditions. Additional characteristics should be evaluated to reveal unique individual traits who respond similarly to specific footwear conditions. Considerations for footwear selection when aiming for acute performance enhancement during CMVJ tests should not be determined according to only group analysis results. The current single-subject approach helps to explain why a consensus on the effects of barefoot, minimal, and conventional footwear conditions during the CMVJ remains elusive.

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“…However, in a clinical population, it can be argued that obtaining a homogeneous sample to allow for comparison between groups or to examine the effectiveness of an intervention is extremely difficult if not impossible. In general, group-based research design studies complimented with multiple single-subject analyses has undoubtedly clear implications for musculoskeletal health [13,15]. The application of the data visualisation techniques proposed in the current study can support both multiple single-subject analyses (Fig.…”

Section: Practical Applicationmentioning

confidence: 91%

“…The lack of generalisability emphasises the impact of a constraints led approach to the development of individual-specific coordinative structures, which raises the issue and value on the technique of pooling individual data and use of inferential statistics in this instance [4]. In addition, several studies have shown that group analysis techniques cannot detect modified movement strategies of individuals participants [13][14][15][16]. Indeed, pooling group J o u r n a l P r e -p r o o f data may mask individual variation that results in a 'non-significant effect' although a positive or negative response to an intervention may be substantial for certain individuals [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding

et al. 2020

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Single-subject analysis reveals variation in knee mechanics during step landing

Cited by 15 publications

References 28 publications

Different Drop Heights in Bilateral Asymmetry and Interjoint Coordination during Repetitive Drop-Jumps

Different Drop Heights in Bilateral Asymmetry and Interjoint Coordination during Repetitive Drop-Jumps

Single-Subject Analyses Reveal Altered Performance and Muscle Activation during Vertical Jumping

Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding

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