Characterizing the effective stiffness of the pelvis during sideways falls on the hip

Laing, Andrew C.; Robinovitch, Stephen N.

doi:10.1016/j.jbiomech.2010.03.025

Cited by 48 publications

(37 citation statements)

References 27 publications

(36 reference statements)

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“…Furthermore, unlike cadavers, it can be difficult to confirm that subjects were performing the experiment as instructed and often experimental falls are self-initiated rather than random, likely representing "best-case" falls. (Robinovitch et al, 1997;Robinovitch et al, 2000;Chiu & Robinovitch, 1998;Choi & Robinovitch, 2010;Liang & Robinovitch, 2010) www.intechopen.com…”

Section: Experimental Methods For Injury Dynamicsmentioning

confidence: 99%

“…Within these regions maximum compressive stresses occur inferiorly where the cortex is thick and smaller tensile stresses occur superiorly where the cortex is thinner (de Baker et al, 2009). Sideways falls with impact to the greater trochanter are the events most directly related to hip fracture in older adults (Liang & Robinovitch, 2010;Parkkari et al, 1999;Courtney et al, 1994). The femoral neck is weakest when the posterolateral aspect of the greater trochanter is impacted.…”

Section: Femoral Neck Fracturementioning

confidence: 99%

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Biomechanics of Musculoskeletal Injury

Gitajn¹,

Rodriguez²

2011

Biomechanics in Applications

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Section: Experimental Methods For Injury Dynamicsmentioning

confidence: 99%

Section: Femoral Neck Fracturementioning

confidence: 99%

Biomechanics of Musculoskeletal Injury

Gitajn¹,

Rodriguez²

2011

Biomechanics in Applications

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“…In most FE-based analysis of proximal femur under lateral fall-induced forces, the impact force is applied to the greater trochanter or the femoral head and the opposite side is fixed Haider et al, 2013;Koivumaki et al, 2012;Naylor et al, 2013;Nishiyama et al, 2013). However, it has been demonstrated that the pelvis oscillates during the impact stage of a sideways fall (Laing and Robinovitch, 2010;Robinovitch et al, 1991) and the trunk angle changes (Van den Kroonenberg et al, 1995), which indicates that the magnitudes of the impact and the joint forces are not the same. Predicting both impact and joint forces may improve the simulation of fall-induced loading conditions.…”

Section: Prediction Of the Fall-induced Loading Condition By A Subjecmentioning

confidence: 99%

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

Sarvi

Luo

2015

Clinical Biomechanics

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“…For assessment purpose, the impact force can be estimated from fall test [14, 17, [106][107][108][109][110] or determined by fall dynamics simulation [8,[111][112][113][114]. Empirical formulas established from experimental data have been proposed to estimate the impact force using the subject's body weight and height [107,110,115].…”

Section: Biomechanical Variables Determining Hip Fracture Riskmentioning

confidence: 99%

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

Luo

2015

Osteoporos Int

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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.

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Characterizing the effective stiffness of the pelvis during sideways falls on the hip

Cited by 48 publications

References 27 publications

Biomechanics of Musculoskeletal Injury

Biomechanics of Musculoskeletal Injury

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

A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture

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