Coordenação motora durante a marcha após lesões no ligamento cruzado anterior: uma revisão sistemática da literatura

The impact of previous musculoskeletal injury on running gait variability: A systematic review

BACKGROUND

Growing evidence suggests that identifying movement variability alterations in pathological vs. healthy gait may further understanding of injury mechanisms related to gait biomechanics; however, in the context of running and musculoskeletal injuries the role of movement variability remains unclear.

RESEARCH QUESTION

What is the impact of a previous musculoskeletal injury on running gait variability?

METHODS

Medline, CINAHL, Embase, Cochrane library and SPORTDiscus were searched from inception until February 2022. Eligibility criteria were (a) included a musculoskeletal injury group, (b) compared running biomechanics data to a control group, (c) measured movement variability for at least one dependent variable, (d) provided a statistical between-group comparison of variability outcomes. Exclusion criteria were neurological conditions impacting gait, upper body musculoskeletal injuries and age < 18 years old. A summative synthesis was performed instead of a meta-analysis due to methodological heterogeneity.

RESULTS

Seventeen case-control studies were included. The most common deviations in variability observed among the injured groups were: (1) high and low knee-ankle/foot coupling variability and (2) low trunk-pelvis coupling variability. Significant (p < 0.05) between-group differences in movement variability were identified in 8 of 11; 73% of studies of runners with injury-related symptoms, and 3 of 7; 43% of studies of recovered or asymptomatic populations.

SIGNIFICANCE

This review identified limited to strong evidence that running variability is altered in adults with a recent history of injury for specific joint couplings only. Individuals with ankle instability or pain employed altered running strategies more often than those who have recovered from injury. Altered variability strategies have been proposed to contribute to future running-related injuries, therefore these findings are relevant to clinicians managing active populations.

Motor imagery in high-functioning individuals with chronic anterior cruciate ligament deficiency: A cross-sectional study

BACKGROUND

There is increasing evidence that motor imagery performance (MIP) is impaired in conditions that have a component of movement dysfunction. However, MIP has not been investigated in people with chronic anterior cruciate ligament (ACL) deficiency who experience limited disability and function at high levels.

HYPOTHESIS

This study had three objectives: (1) to assess implicit MIP in individuals with a chronic ACL deficient (ACLD) knee compared with healthy controls (i.e., intact anterior cruciate ligament); (2) to determine if the location of ACL deficiency affects MIP (dominant versus non-dominant leg); and (3) to determine if impairment in MIP is specific to the side (injured versus non-injured) of ACL deficiency.

METHODS

Forty-five participants with chronic ACLD knee and 44 healthy controls completed a left/right judgement task of pictured knees using the "Recognise" app to evaluate implicit MIP. Accuracy and reaction time of judgements were compared between groups. Additionally, within the chronic ACLD knee group, we made comparisons between the dominant ACLD knee and non-dominant ACLD knee subgroups and between the injured knee and the non-injured knee of the ACLD group.

RESULTS

There were no differences in implicit MIP between the ACLD knee and the control group, the non-injured knee versus injured knee of the ACLD knee group, or the dominant ACLD knee versus non-dominant ACLD knee subgroups.

CONCLUSION

Implicit MIP is not disrupted in high functioning individuals with chronic ACLD knee.

COMPREHENSIVE CHARACTERIZATION OF GAIT VARIABILITY IN PATIENTS WITH KNEE OSTEOARTHRITIS FOR ALTERED VELOCITIES

This study focuses on quantifying the alterations in human gait variability in individuals with knee Osteoarthritis (OA). To assess the stride-to-stride variation, estimating the dynamical stability discloses the encrypted behavior of the locomotion system, at times facing perturbations, and for that the Largest Lyapunov Exponent is extracted for both Short ([Formula: see text]) and Long ([Formula: see text]) term. Information about the complexity of movement further bolsters the variation-driven conclusions which are calculated for Correlation Index and Kolmogorov–Sinai (K-S) entropy. Using gait analysis, knee angular displacement is the considered data tested for different walking speeds. In the result, [Formula: see text] revealed significant differences between the groups and their walking velocities while [Formula: see text] failed to represent any distinguishable differences. In contrast to the control group, increases in the walking velocity did not affect the amount of locomotion variability for the patients. The stride features also verified the vicissitudes in the gait pattern of knee OA suffering individuals.