Kinematic risk factors for lower limb tendinopathy in distance runners: A systematic review and meta-analysis

Mousavi, Seyed Hamed; Hijmans, Juha M.; Rajabi, Reza; Diercks, Ron L.; Zwerver, Johannes; Worp, Henk van der

doi:10.1016/j.gaitpost.2019.01.011

Cited by 70 publications

(56 citation statements)

References 84 publications

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“…Previous studies have suggested that atypical biomechanical patterns can lead to injuries by causing excessive repetitive tissue loading during running . In addition, associations between certain injuries and kinematic gait patterns have been detected in multiple studies .…”

Section: Discussionmentioning

confidence: 92%

“…The vertical dashed line corresponds to the average of the study population and values have been normalized to have a mean of zero and standard deviation 1 tissue loading during running. 10,37 In addition, associations between certain injuries and kinematic gait patterns have been detected in multiple studies. 4,6,10 In support of this premise, a study by Braham et al 11 reported that runners with different injuries all exhibited similar patterns among each other.…”

Section: Discussionmentioning

confidence: 99%

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A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns

Jauhiainen

Pohl

Äyrämö

et al. 2020

Scandinavian Med Sci Sports

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Previous studies have suggested that runners can be subgrouped based on homogeneous gait patterns; however, no previous study has assessed the presence of such subgroups in a population of individuals across a wide variety of injuries. Therefore, the purpose of this study was to assess whether distinct subgroups with homogeneous running patterns can be identified among a large group of injured and healthy runners and whether identified subgroups are associated with specific injury location. Three‐dimensional kinematic data from 291 injured and healthy runners, representing both sexes and a wide range of ages (10‐66 years), were clustered using hierarchical cluster analysis. Cluster analysis revealed five distinct subgroups from the data. Kinematic differences between the subgroups were compared using one‐way analysis of variance (ANOVA). Against our hypothesis, runners with the same injury types did not cluster together, but the distribution of different injuries within subgroups was similar across the entire sample. These results suggest that homogeneous gait patterns exist independent of injury location and that it is important to consider these underlying patterns when planning injury prevention or rehabilitation strategies.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns

Jauhiainen

Pohl

Äyrämö

et al. 2020

Scandinavian Med Sci Sports

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“…Abnormal kinematics and the overuse of the tendon have been implicated as the major risk factors for lower limb tendinopathy, even if the amount of loading that generates the pathology is still not clear [ 8 , 9 ]. Overuse is a key factor from 30% to 50% of all sporting injuries and the incidence has raised in recent decades, likely due to the growing involvement on athletes and greater demands in running and recreational sports.…”

Section: Introductionmentioning

confidence: 99%

Lower Limb Tendinopathy Tissue Changes Assessed through Ultrasound: A Narrative Review

et al. 2020

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Tendinopathy is a common disease that affects athletes, causing pain and dysfunction to the afflicted tendon. A clinical diagnose is usually combined with imaging and, among all the existing techniques, ultrasound is widely adopted. The aim of this review is to sum up the existing evidence on ultrasound as an imaging tool and guide for treatments in lower limbs tendinopathy. Using three different databases—PubMed, MEDLINE and CENTRAL—a literature search has been performed in May 2020 combining MeSH terms and free terms with Boolean operators. Authors independently selected studies, conducted quality assessment, and extracted results. Ultrasound imaging has a good reliability in the differentiation between healthy and abnormal tendon tissue, while there are difficulties in the identification of tendinopathy stages. The main parameters considered by ultrasound imaging are tendon thickness, hypoechogenicity of tendon structure and neovascularization of the tendon bound tissue. Ultrasound-guide is also used in many tendinopathy treatments and the available studies gave encouraging results, even if further studies are needed in this field.

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“…There is evidence that the etiology of RRI is multifactorial and includes both extrinsic and intrinsic risk factors, some modifiable [8]. Several studies have reported risk factors predisposing runners to injuries [8][9][10][11], including abnormal biomechanics, previous injuries, training-related risk factors and insufficient running experience. However, there is still no consensus on the exact etiology of RRIs and there might even be differences between populations from different countries, regions or cultures.…”

Section: Introductionmentioning

confidence: 99%

Epidemiology and etiology of lower limb injuries in Iranian recreational runners

Mousavi

Hijmans

Minoonejad

et al. 2019

Preprint

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Background Knowledge about prevalence and etiology of running-related injuries (RRIs) is important to tailor an effective RRI prevention program. We aimed to investigate the prevalence and etiology of RRIs in Iranian recreational runners.Methods An internet-based self-developed questionnaire was sent to recreational runners recruited through social media. The questionnaire asked about personal and training characteristics, psychological factors (passion, BERQ-2, RAND-36), SQUASH, sleep, foot type and RRIs over the last six months. Data were analyzed descriptively and using logistic regression.Results Self-reported data from 804 questionnaires were analyzed. Twenty-five potential risk factors for RRIs were investigated. The male-to-female proportion was 57.5:42.5. 54% of runners reported at least one RRI. Patellofemoral pain syndrome was the most-reported injury (19.8%), followed by medial tibial stress syndrome (16.9%). Knee was the most-affected location (44.6%), followed by lower leg (19.2%). The variables associated with RRIs were: overweight (odds ratio (OR):1.77), pes planus (OR:1.81), running over 20 km/week (OR:1.62), hard-surface running (OR:1.38), running company (OR:1.74), following a training program (OR:1.50), obsessive passionate attitude (OR:1.05), RAND-36 (OR:0.96), and sleep quality (OR:1.46). Associated factors for all different RRI types were analyzed too.Conclusions Overweight, running over 20 km/week, hard-surface running, having pes planus or cavus, higher obsessive passion, lower RAND-36, and poor sleep quality were the most predictive risk factors for RRIs types. This study highlighted the importance of psychological factors besides abnormal foot arch and some training-related risk factors for RRIs in Iranian runners. These results may be useful for runners and coaches to tailor effective training programs and to design RRI prevention programs that may help clinicians when managing RRIs.

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Kinematic risk factors for lower limb tendinopathy in distance runners: A systematic review and meta-analysis

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Cited by 70 publications

References 84 publications

A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns

A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns

Lower Limb Tendinopathy Tissue Changes Assessed through Ultrasound: A Narrative Review

Epidemiology and etiology of lower limb injuries in Iranian recreational runners

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