Can martial arts techniques reduce fall severity? An in vivo study of femoral loading configurations in sideways falls

Zijden, A.M. van der; Groen, B.E.; Tanck, E.; Nienhuis, Bart; Verdonschot, Nico; Weerdesteyn, Vivian

doi:10.1016/j.jbiomech.2012.03.024

Cited by 34 publications

(24 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, other parameters also have effects on the impact force, for example, the soft tissue over the hip is able to attenuate the impact energy during sideways fall [109,113]; even the body configuration just Fig. 1 Load-strength ratio, major and sublevel biomechanical variables before touching the ground may change the magnitude of impact force [8,112,116]. A more accurate way is to determine the impact force by fall simulation using a dynamics model constructed from the subject's whole body medical image [8,111,113,114].…”

Section: Biomechanical Variables Determining Hip Fracture Riskmentioning

confidence: 99%

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

Luo

2015

Osteoporos Int

View full text Add to dashboard Cite

Osteoporotic fracture has been found associated with many clinical risk factors, and the associations have been explored dominantly by evidence-based and case-control approaches. The major challenges emerging from the studies are the large number of the risk factors, the difficulty in quantification, the incomplete list, and the interdependence of the risk factors. A biomechanical sorting of the risk factors may shed lights on resolving the above issues. Based on the definition of load-strength ratio (LSR), we first identified the four biomechanical variables determining fracture risk, i.e., the risk of fall, impact force, bone quality, and bone geometry. Then, we explored the links between the FRAX clinical risk factors and the biomechanical variables by looking for evidences in the literature. To accurately assess fracture risk, none of the four biomechanical variables can be ignored and their values must be subject-specific. A clinical risk factor contributes to osteoporotic fracture by affecting one or more of the biomechanical variables. A biomechanical variable represents the integral effect from all the clinical risk factors linked to the variable. The clinical risk factors in FRAX mostly stand for bone quality. The other three biomechanical variables are not adequately represented by the clinical risk factors. From the biomechanical viewpoint, most clinical risk factors are interdependent to each other as they affect the same biomechanical variable(s). As biomechanical variables must be expressed in numbers before their use in calculating LSR, the numerical value of a biomechanical variable can be used as a gauge of the linked clinical risk factors to measure their integral effect on fracture risk, which may be more efficient than to study each individual risk factor.

show abstract

Section: Biomechanical Variables Determining Hip Fracture Riskmentioning

confidence: 99%

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

Luo

2015

Osteoporos Int

View full text Add to dashboard Cite

show abstract

“…tennis, golf, swimming, gymnastics, archery, baseball, basketball, volleyball, soccer, rugby and others as combat sports and martial arts). They are also used for analysing various sport activities as they occur under laboratory conditions ( Van der Zijden, et al, 2012;VencesBrito, 2012;VencesBrito, et al, 2014) on sport halls (Kautzner & Junior, 2012), on playing fields (Roberts, Trewartha, & Stokes, 2006), or even underwater (Magalhaes, et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Motion analysis systems as optimization training tools in combat sports and martial arts

Polak

Kulasa

VencesBrito

et al. 2016

Rev. artes marciales asiát.

View full text Add to dashboard Cite

Introduction: Over the past years, a few review papers about possibilities of using motion analysis systems in sport were published, but there are no articles that discuss this problem in the field of combat sports and martial arts. Aim: This study presents the diversity of contemporary motion analysis systems both, those that are used in scientific research, as well as those that can be applied in daily work of coaches and athletes in combat sports and martial arts. An additional aim is the indication of example applications in scientific research and range of applications in optimizing the training process. It presents a brief description of each type of systems that are currently used in sport, specific examples of systems and the main advantages and disadvantages of using them. The presentation and discussion takes place in the following sections: motion analysis utility for combat sports and martial arts, systems using digital video and systems using markers, sensors or transmitters. Conclusions: Not all types of motion analysis systems used in sport are suitable for combat sports and martial arts. Scientific studies conducted so far showed the usefulness of video-based, optical and electromechanical systems. The use of research results made with complex motion analysis systems, or made with simple systems, local application and immediate visualization is important for the preparation of training and its optimization. It may lead to technical and tactical improvement in athletes as well as the prevention of injuries in combat sports and martial arts. Keywords: Sports training; motion capture; information technology; combat sports; martial arts. Los sistemas de análisis del movimiento como herramientas para optimizar el entrenamiento en deportes de combate y artes marciales ResumenIntroducción: Durante los últimos años se han publicado algunos trabajos de revisión sobre las posibilidades que ofrece la utilización de los sistemas de análisis del movimiento en el deporte. Sin embargo, aún no existen trabajos específicos sobre deportes de combate y artes marciales. Objetivo: Este estudio presenta los diversos sistemas contemporáneos de análisis de movimiento, tanto los utilizados en la investigación científica como aquellos que pueden utilizar cotidianamente los entrenadores y atletas de deportes de combate y artes marciales. Un objetivo adicional es ofrecer ejemplos de aplicaciones en la investigación científica así diversas aplicaciones para la optimización del proceso de entrenamiento. Se presenta una breve descripción de cada tipo de sistema utilizado actualmente en el deporte, ejemplos específicos Sistemas de análise do movimento como instrumentos para otimizar o treino em esportes de combate e artes marciais ResumoIntrodução: Ao longo dos últimos anos alguns trabalhos de revisão sobre as possibilidades de utilização de sistemas de análise do movimento no desporto foram publicados, todavia no âmbito especifico da prática dos desportos de combate e artes marciais artes mas não há trabalhos de revisã...

show abstract

“…Various clinical studies have demonstrated that hip fracture is affected by anthropometric parameters, bone quality (Haider et al, 2013), proximal femur anatomy (Carballido-Gamio et al, 2013;Gregory and Aspden, 2008;Ito et al, 2010;Park et al, 2014), cortical thickness (Long et al, 2015;Loveridge et al, 2010), hip soft tissue thickness (STT) (Majumder et al, 2007(Majumder et al, , 2008(Majumder et al, , 2013, landing surface (Baddoura et al, 2011;Van der Zijden et al, 2012), etc. All these parameters are subject dependent as they vary with gender, race, ethnicity and age (Peacock et al, 2009;Wang et al, 1994;Zhuang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A two-level subject-specific biomechanical model for improving prediction of hip fracture risk

Sarvi

Luo

2015

Clinical Biomechanics

View full text Add to dashboard Cite

Can martial arts techniques reduce fall severity? An in vivo study of femoral loading configurations in sideways falls

Cited by 34 publications

References 31 publications

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

Motion analysis systems as optimization training tools in combat sports and martial arts

A two-level subject-specific biomechanical model for improving prediction of hip fracture risk

Contact Info

Product

Resources

About