The three-dimensional determination of internal loads in the lower extremity

Glitsch, Ulrich; Baumann, W.

doi:10.1016/s0021-9290(97)00089-4

Cited by 232 publications

(199 citation statements)

References 21 publications

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“…These results, along with the kinematic description of the participants' lower extremity and related anatomic and physiologic characteristics, were used to calculate muscle, lateral collateral ligament, and joint forces of the knee during the stance phase of walking. We have previously applied this model to healthy individuals and OA patients (23), which resulted in values and ranges for muscle and joint forces (2.8-6.0 body weight) similar to those reported in previous studies (25,26). A more detailed description of the model can be found elsewhere (23,24).…”

Section: Methodsmentioning

confidence: 67%

Weight loss reduces knee‐joint loads in overweight and obese older adults with knee osteoarthritis

Messier¹,

Gutekunst²,

Davis³

et al. 2005

Arthritis & Rheumatism

456

317

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Objective. To determine the relationship between change in body mass and knee-joint moments and forces during walking in overweight and obese older adults with knee osteoarthritis (OA) following an 18-month clinical trial of diet and exercise.Methods. Data were obtained from 142 sedentary, overweight, and obese older adults with self-reported disability and radiographic evidence of knee OA who underwent 3-dimensional gait analysis. Gait kinetic outcome variables included peak knee-joint forces and peak internal knee-joint moments. Mixed regression models were created to predict followup kinetic values, using followup body mass as the primary explanatory variable. Baseline body mass was used as a covariate, and thus followup body mass was a surrogate measure for change in body mass (i.e., weight loss).Results. There was a significant direct association between followup body mass and peak followup values of compressive force (P ‫؍‬ 0.001), resultant force (P ‫؍‬ 0.002), abduction moment (P ‫؍‬ 0.03), and medial rotation moment (P ‫؍‬ 0.02). A weight reduction of 9.8N (1 kg) was associated with reductions of 40.6N and 38.7N in compressive and resultant forces, respectively. Thus, each weight-loss unit was associated with an ϳ4-unit reduction in knee-joint forces. In addition, a reduction in body weight of 9.8N (1 kg) was associated with a 1.4% reduction (0.496 Nm) in knee abduction moment. Conclusion. Our results indicate that each poundof weight lost will result in a 4-fold reduction in the load exerted on the knee per step during daily activities. Accumulated over thousands of steps per day, a reduction of this magnitude would appear to be clinically meaningful.The precise etiology of osteoarthritis (OA) is unknown; however, several risk factors have been identified, including age (1,2), female sex (3), and both occupational (4,5) and sports-related joint stress (6-9). The most important modifiable risk factor for the development and progression of OA is obesity (1,10-17). Weight loss reduces the risk of symptomatic knee OA (13), and for obese patients with knee OA, weight loss and exercise are recommended by both the American College of Rheumatology and the European League Against Rheumatism (18,19). We have shown that an average weight loss of 5% over 18 months in overweight and obese adults with knee OA results in an 18% improvement in function. When dietary changes are combined with exercise, function improves 24% and is accompanied by a significant improvement in mobility (20).Although obesity is strongly associated with knee OA, some obese but otherwise healthy adults adapt to their excessive weight and subsequently reduce kneejoint torques and possibly knee-joint forces during walking (21). In other obese adults, however, excessive biomechanical joint stress represents one possible pathway for the pathogenesis and progression of knee OA. We hypothesized a significant and direct relationship between weight loss and attenuation of knee-joint forces and moments during walking in overweight and obese older adu...

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Section: Methodsmentioning

confidence: 67%

Weight loss reduces knee‐joint loads in overweight and obese older adults with knee osteoarthritis

Messier¹,

Gutekunst²,

Davis³

et al. 2005

Arthritis & Rheumatism

456

317

View full text Add to dashboard Cite

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“…Several investigators can further increase cost-effectiveness by reducing the opti tested the sensitivity of the results on objective function mization problem into linear programming, e.g. total mus selection (e.g., Glitsch and Baumann, 1997;Collins, cle force (Rohrle et al, 1984;Pedersen et al, 1987Pedersen et al, ). 1995, as well as model parameters, (e.g.…”

Section: Inverse Dynamics-based Static Optimizationmentioning

confidence: 99%

“…Forces were input to a finite element model of the lumbar spine Ezquerro et al (2004) Spinal loading during scoliosis was found to be a function of muscle activation strategy into ergonomics design software (3D SSSP, University of Michigan, Ann Arbor, MI, USA). Inadequate kinematic models to represent the motion of interest (Glitsch and Baumann, 1997), and inaccuracies of experimental data have been identified as weaknesses of the methodology. Muscle force patterns are typically compared to EMG activity patterns to validate the results of the static optimi zation approach (Table 1).…”

Section: Inverse Dynamics-based Static Optimizationmentioning

confidence: 99%

“…A variety of joint types are available for modeling, from simple hinge joints to the three-dimensional spherical joints. The joint type defines the constraints of movements and has been found to influ ence muscle force calculations (Buchanan and Shreeve, 1996;Glitsch and Baumann, 1997). For example, in a spherical joint, all joint torques need to be balanced by muscular moments, whereas for a hinge joint, out of plane torques are balanced by reaction torques at the joint.…”

Section: Validationmentioning

confidence: 99%

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Model-based estimation of muscle forces exerted during movements

Erdemir

McLean

Herzog

et al. 2007

Clinical Biomechanics

732

543

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“…The knee joint motion is much more com-plexed including both translations and rotations during normal gait motions. In daily activity, such as normal non-pathological gait, the human knee joint is subjected to significant loads with peak values well-above the subject's body weight [3,10,13,15,21]. These load patterns are very complex, because of several external forces exist (ground reaction force, mass and acceleration forces from the foot and the shank) which are counterbalanced by the forces acting inside the joint, such as the tibiofemoral contact forces and forces generated by the muscles to either keep the balance or to generate a motion.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a geometry-based knee joint compared to a planar knee joint

et al. 2011

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Today neuromuscular simulations are used in several fields, such as diagnostics and planing of surgery, to get a deeper understanding of the musculoskeletal system. During the last year new models and datasets have been presented which can provide us with more in-depth simulations and results. The same kind of development has occurred in the field of studying the human knee joint using complex three dimensional finite element models and simulations. In the field of musculoskeletal simulations, no such knee joints can be used. Instead the most common knee joint description is an idealized knee joint with limited accuracy or a planar knee joint which only describes the knee motion in a plan. In this paper, a new knee joint based on both equations and geometry is introduced and compared to a common clinical planar knee joint. The two kinematical models are analyzed using a gait motion, and are evaluated using the muscle activation and joint reaction forces which are compared to in-vivo measured forces. We show that we are able to predict the lateral, anterior and longitudinal moments, and that we are able to prediction better knee and hip joint reaction forces.

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The three-dimensional determination of internal loads in the lower extremity

Cited by 232 publications

References 21 publications

Weight loss reduces knee‐joint loads in overweight and obese older adults with knee osteoarthritis

Weight loss reduces knee‐joint loads in overweight and obese older adults with knee osteoarthritis

Model-based estimation of muscle forces exerted during movements

Evaluation of a geometry-based knee joint compared to a planar knee joint

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