Effects of injury proneness and task difficulty on joint kinetic variability

University of Oregon, Eugene, Oregon, United States
Medicine & Science in Sports & Exercise (Impact Factor: 3.98). 11/2000; 32(11):1833-44. DOI: 10.1097/00005768-200011000-00004
Source: PubMed


The purpose was to investigate the effects of lower extremity overuse injury proneness and landing height on the variability of selected joint moment characteristics.
Ten subjects from each of two groups (healthy and injury prone) performed 10 landings from a platform (heights: 50, 100, and 200% of maximum vertical jump). Force platform (1000 Hz) and video (200 Hz) information were collected and used to compute ankle, knee, and hip joint moment values during impact (0-100 ms post contact). Moment peak, time to peak, and impulse values were used to determine variability across 10 trials for each subject and height. MANOVAs and univariate follow-up tests were used to assess variability differences between groups and among heights.
Results revealed ankle moment variability differences (P < or = 0.05; Tukey) between groups for peak and time to peak variables at the 100% and 50% heights, respectively. The injury-prone group exhibited greater variability for the peak variable, whereas the healthy group showed greater variability for the temporal variable. Groups also differed on the impulse variables (P < or = 0.02; MANOVA), but follow-up tests failed to determine specific joints or directions of differences. Both groups exhibited tendencies for greater variability (P < or = 0.05; Tukey) with increases in height up to 100% MVJ and decreases in variability with further height increases.
Results suggest that groups differed in joint moment variability, possibly indicating a relationship between variability and overuse injuries, although the variables and directions of differences were inconsistent. For some variables, variability increased and then decreased with height increases for both groups, suggesting a range of heights within which the neuromuscular system adapted.

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    • "Movement variability may be considered a protective mechanism against overuse injuries by altering the characteristics of loading application to minimise accumulation of load in a central region (James, et al., 2000), and the detrimental effects of repetitive loading may be reduced by enabling longer adaptation time for tissues between loading events (James, et al., 2000). This suggests that if an individual displays a lack of movement variability in response to ever changing task demands and environmental conditions, they may utilise rigid, inflexible motor behaviours with limited adaptability (Stergiou, Harbourne, & Cavanaugh, 2006), and increase the risk of developing an overuse injury (James, et al., 2000; Bartlett, et al., 2007). "

    Full-text · Conference Paper · Jul 2012
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    • "Bradshaw and Aisbett, 2006), coaches should try to alter the constraints under which their athletes train, exposing them to various conditions so that they will be able to adapt their joint coordination patterns to any set of circumstances they encounter during competition. An association between a reduction in joint coordination variability and increased injury rate has been observed in several studies (Hamill, vam Emmerik, Heiderscheit, and Li,1999; Heiderscheit, 2000; James, Dufek, and Bates, 2000). Dynamical systems theory may explain this association, with low joint coordination variability resulting in the same tissues being continually loaded during a specific activity. "
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    ABSTRACT: In the current study, we quantified biological movement variability on the start and early acceleration phase of sprinting. Ten male athletes aged 17-23 years (100-m personal best: 10.87 +/- 0.36s) performed four 10-m sprints. Two 250-Hz cameras recorded the sagittal plane action to obtain the two-dimensional kinematics of the block start and initial strides from subsequent manually digitized APAS motion analysis. Infra-red timing lights (80Hz) were used to measure the 10-m sprinting times. The coefficient of variation (CV%) calculation was adjusted to separate biological movement variability (BCV%) from estimates of variability induced by technological error (SEM%) for each individual sprinter and measure. Pearson's product-moment correlation and linear regression analysis were used to establish relationships between measures of BCV% and 10-m sprint start performance (best 10-m time) or 10-m sprint start performance consistency (10-m time BCV%) using SPSS version 12.0. Measurement error markedly inflated traditional measures of movement variability (CV%) by up to 72%. Variability in task outcome measures was considerably lower than that observed in joint rotation velocities. Consistent generation of high horizontal velocity out of the blocks led to more stable and faster starting strides.
    Full-text · Article · Oct 2007 · Sports Biomechanics
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    • "A recent search of MEDLINE, CINAHL, Current Contents and SPORTDiscuss identified 26 relevant studies about sports-landing techniques published between 1990 and 2004. Only six of these studies reported on injured subjects, all of whom were adults [10,11,13,18,19,21]. This highlights the current lack of information on adolescent lower limb kinetics and kinematics. "
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    ABSTRACT: A common knee injury mechanism sustained during basketball is landing badly from a jump. Landing is a complex task and requires good coordination, dynamic muscle control and flexibility. For adolescents whose coordination and motor control has not fully matured, landing badly from a jump can present a significant risk for injury. There is currently limited biomechanical information regarding the lower limb kinetics of adolescents when jumping, specifically regarding jump kinematics comparing injured with uninjured adolescents. This study reports on an investigation of biomechanical differences in landing patterns of uninjured and injured adolescent basketball players. A matched case-control study design was employed. Twenty-two basketball players aged 14-16 years participated in the study: eleven previously knee-injured and eleven uninjured players matched with cases for age, gender, weight, height and years of play, and playing for the same club. Six high-speed, three-dimensional Vicon 370 cameras (120 Hz), Vicon biomechanical software and SAS Version 8 software were employed to analyse landing patterns when subjects performed a "jump shot". Linear correlations determined functional relationships between the biomechanical performance of lower limb joints, and paired t-tests determined differences between the normalised peak biomechanical parameters. The average peak vertical ground reaction forces between the cases and controls were similar. The average peak ground reaction forces between the cases and controls were moderately correlated (r = -0.47). The control (uninjured) players had significantly greater hip and knee flexion angles and significantly greater eccentric activity on landing than the uninjured cases (p < 0.01). The findings of the study indicate that players with a history of knee injuries had biomechanically compromised landing techniques when compared with uninjured players matched for gender, age and club. Descriptions (norms) of expected levels of knee control, proprioceptive acuity and eccentric strength relative to landing from a jump, at different ages and physical developmental stages, would assist clinicians and coaches to identify players with inappropriate knee performance comparable to their age or developmental stage.
    Preview · Article · Mar 2006 · BMC Musculoskeletal Disorders
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