Guest guest Posted July 8, 2005 Report Share Posted July 8, 2005 BioMechanics July 2005 www.biomech.com Engineering efficiency: Geriatric gait research goes tech By: A. McGibbon, PhD Mobility impairments have a profound effect on health-related quality of life. Limitations in function, primarily caused by impairments of organ and body systems, often lead to disability,1,2 broadly defined as the inability to maintain one's vocational and avocational life roles.3 The relationship between lower extremity musculoskeletal impairments (e.g., muscle weakness, limited range of motion, or pain) and functional limitations (e.g., the inability to climb stairs, or walk more than a short distance) often manifests as an abnormal locomotor pattern. A logical conclusion is that changes in locomotion are driven by neuromuscular adaptations, which alter how the body moves to reduce the effects of impairments on physical function. Unfortunately, the benefits of these adaptations can be offset by increased risk of secondary pathology or instability leading to falls. As shown in Figure 1, adaptations may take the form of compensations in response to impairments, existing to replace lost or diminished function of surrounding structures, such as hip muscles acting to compensate for diminished function of ankle muscles. Or they may themselves present as impairments, such as reduced ankle power output due to reduced ankle muscle strength. While the effects of adaptations and compensations can often be observed in measured locomotor patterns, the underlying neuromuscular mechanisms that arise from musculoskeletal pathology are neither well documented nor well understood. Modern motion tracking systems and recent advances in neuromusculoskeletal modeling offer a promising avenue for better understanding the underlying mechanisms that cause functional limitations and lead to disability. A review of some of the research studies that have laid the foundation for better understanding gait dysfunction in older adults may enhance discussion of some of the emerging areas of biomechanical research that hold promise for rehabilitation of older adults with gait dysfunction. Effects of age on gait Several age-related conditions are known to contribute to diminished gait function: reduced muscle strength4,5 and an associated decline in torque- and power-generating capacity;6-8 subtle deterioration of sensory systems, including the peripheral (vestibular) and central (cerebellar) postural control systems;9,10 diminished cardiovascular and respiratory function;11 and psychological factors such as depression and fear of falling.12,13 Observable characteristics, such as decreased walking speed, widened base of support, and shortened stride length,12-15 are due in part to a combination of the above and other factors associated with aging. Recent studies suggest that biomechanical analyses of gait, using kinematic and kinetic analysis techniques (primarily of angular rotations, moments, and powers), can illuminate the mechanistic behaviors responsible for these changes in gait with aging16-21 and disability.21-27 Studies of age-related changes in gait report reductions in ankle plantar-flexion and plantar-flexor moment and power,16-19,21 reduced knee flexion and knee-extensor moment and power,16,19 reduced hip extension,18,20,28 increased hip-extensor or -flexor moment and power,17-19,21 and altered trunk-pelvis coordination25 in healthy elders compared to young adults. Studies examining the biomechanics of gait in disabled populations (such as subjects with knee arthritis) show many of the same characteristics as those documented in healthy aging populations, with some potentially important differences, however, one being a dramatic increase in hip-flexor power absorption.21,23,26 A recent review article21 discusses some of the above studies in more detail, providing several plausible mechanistic explanations for neuromuscular adaptations in the gait of persons 65 and older. These patients demonstrate, among other differences, a significantly lower plantar-flexor power " burst " in the terminal stance phase of gait when compared to young adults. Winter et al16 interpreted the ankle plantar-flexor power burst as a " pistoning effect, " providing a mechanism to assist in forward progression of the whole body and stabilization of the upper body. The same group also reported an increase in knee power absorption in late stance for elderly walkers, suggesting that the knee acted to prevent power from transferring proximally. Others have suggested that ankle power contributes not only to forward progression of the body, but also to advancement of the leg into swing phase.20,29,30 Rapid ankle torque generating capacity decreases with age, thereby representing a potential impairment that limits gait function in elders.7 Dynamic simulations recently reported by Neptune et al30 suggest that impaired plantar- flexor function may affect trunk stabilization in early stance phase of gait, and trunk progression and swing initiation in late stance phase. It follows that impaired ankle plantar-flexor function would require a compensatory response from other muscles to stabilize the trunk and assist with forward progression of the trunk and swing leg. Identifying the underlying mechanism(s) leading to reduced vigor of gait (measured primarily as gait speed) with age has been a focus of several studies. Judge et al29 reported that the difference in ankle power between young and elderly persons could explain stride length differences, but that elderly individuals generate more hip flexor power for their walking speed than do healthy young adults. This suggests that diminished ankle plantar-flexor function potentially limits gait speed, requiring hip flexor concentric action to compensate by pulling the leg forward to assist with swing initiation. In contrast to Judge's29 study, Kerrigan et al18 found that hip power was not increased while ankle plantar-flexor power was with faster walking speed in elderly persons compared to young adults. Older subjects also significantly increased their hip extensor moment in early stance phase when walking at their maximal pace. In addition, reduced maximal hip extension for these subjects was reported, which Kerrigan et al18 attributed to hip flexion contracture. While Judge's study suggested that diminished ankle plantar-flexor function is the primary age-related impairment affecting gait, Kerrigan's study suggested that hip flexor contracture is the primary age-related impairment affecting gait; both impairments affect step length and gait speed, but clearly by different mechanisms. While the results of these two studies present fairly divergent theories of diminished gait function in older people, it is perhaps important that this is so, suggesting that different impairments may have similar effects on gross gait function (reduced speed and step length) though they emanate from very different neuromuscular adaptations. DeVita and Hortobagyi19 explored age-related neuromuscular adaptations in gait by comparing joint kinematics and kinetics of healthy young adults and elderly individuals, where both groups had equal self-selected gait speed. Geriatric subjects demonstrated greater hip extensor moment and power and reduced hip flexor moment, knee extensor moment and power, and ankle plantar-flexor moment and power compared to young subjects. Importantly, however, the support moment (sum of ankle, knee, and hip moments16) was equal for the two groups, suggesting a redistribution of muscle moment and power that occurs with aging. A shift in the locus of neuromuscular function with aging supports the notion that hip musculature adapts to compensate for decreased function of distal joint muscles by increasing efforts to control and stabilize the trunk. That differences existed in ankle plantar-flexor power between elderly and young groups walking at the same speed contradicts the findings of Judge et al29 but indirectly supports the findings of Kerrigan et al.18 Conversely, DeVita and Hortobagyi's study did not show a decrease in hip range of motion, which contradicts the hip flexor contracture theory suggested by Kerrigan. As suggested earlier, the differences between the above studies exploring the age-related decline in gait function may be more important than their similarities. In other words, these differences might be explained by different combinations of impairments possessed by the elderly groups studied, and as such, need to be quantified in relation to the observed neuromuscular adaptations. Effects of disability on gait While providing a wealth of information on the possible mechanisms of neuromuscular adaptation in the elderly, the above studies included only elders considered healthy (at least by subject self-report and sometimes medical screening), and thus it is highly probable that undocumented impairments explain, at least in part, some of the discrepancies among studies. Unfortunately, far fewer studies have examined the biomechanical characteristics of gait in a sample of elders with known impairments. McGibbon et al24 examined the effects of pathology (classified as musculoskeletal, nonmusculoskeletal, and nonspecific) and strength (classified as weak, moderate, and strong), on joint motor function in gait for a sample of 75 functionally limited elderly women. Weaker subjects expended less mechanical energy at the ankle and knee regardless of pathology. Weaker subjects with musculoskeletal pathology expended more mechanical energy at the hip and low back than did stronger subjects with musculoskeletal pathology. Excessive hip flexor21,23,26 and low back extensor,23 power absorption, or eccentric work during gait appears to be prevalent in geriatric patients with lower extremity impairments, but not in healthy elders.17-19,11 McGibbon et al23 showed that low back and (when controlling for gait speed) hip energy expenditures were greater for elderly subjects with lower extremity impairments (due to a variety of pathologies) compared to healthy age-matched subjects. As a follow-up to this study, McGibbon and Krebs26 applied the same analysis as in prior reports23,24 to a more homogenous sample of elderly individuals having unilateral knee osteoarthritis. The OA patients had significantly increased eccentric hip flexor work, and also significantly reduced concentric ankle work in late stance phase and knee work in mid- to late stance phase, compared to age-matched healthy elders. The increase in hip eccentric power is interesting in light of Kerrigan's study18 implicating hip flexion contracture as a limiting impairment with aging. It is plausible that the OA patients could take advantage of tight hip flexors, relying on quadriceps stretch reflex, or passive elastic properties, to help advance the leg into swing phase or assist in the propulsion of the upper body, as illustrated in Figure 2. In a recent study McGibbon and Krebs21,31 sought to identify the biomechanical variables indicative of lower extremity dysfunction that are distinct from age-related gait adaptations, and the interrelationships among these variables, to better understand the underlying mechanisms of neuromuscular adaptations in gait. Ankle, knee, and hip peak angles, moments, and powers in the sagittal plane were acquired during gait at self-selected speed in 120 subjects (healthy young, healthy elders, and elders with lower extremity musculoskeletal pathology). Discriminate analysis was used to identify the key biomechanical variables discriminating by age (young or old and healthy) and by health status (healthy or disabled and old). Healthy older subjects were discriminated (sensitivity/specificity = 76%/82%) from young subjects via decreased late-stance ankle plantar-flexion angle, and increased late-stance knee power absorption and early-stance hip extensor power generation. Disabled elderly subjects were discriminated (74%/73%) from healthy ones via decreased late-stance ankle plantar-flexor moment and power generation, increased early- stance ankle dorsiflexor moment and late-stance hip flexor moment and power absorption. Most importantly, the relationships among these variables showed a high degree of coupling for the disabled elderly subjects compared to the young and elderly healthy subjects (Figure 3), suggesting a reduced ability for elders with lower extremity impairments to alter motor strategies. The data suggest that older patients with lower extremity dysfunction rely excessively on hip flexor passive action, probably to provide propulsion in late stance, and ankle dorsiflexors of the contralateral limb to provide leg and trunk stability. The passive hip flexor theory, however, is weakened somewhat since hip flexion range was not a significant variable in the model, indicating that hip flexion contractures were not significant in the disabled geriatric patients. More detailed studies of these compensatory mechanisms are required. The studies above suggest that it is possible to quantify neuromuscular adaptations in the elderly. But these studies also suggest that underlying impairments responsible for the adaptive-or maladaptive-compensations are critically important to consider when assessing neuromuscular function in these patients. The fact that this has not been done is the most likely explanation for why we still know so little about gait dysfunction in older patients. To date, there are no comprehensive studies that document neuromuscular function in a large sample of elderly subjects with a wide range of documented impairments. The ability to predict neuromuscular adaptations from existing impairments would greatly enhance the development of physical therapy interventions to aid the disabled. Neuromusculoskeletal modeling The majority of studies aimed at better understanding the neuromuscular basis of gait dysfunction in elderly patients have relied upon standard and easily implemented biomechanical analysis of the joints: moments, powers, and energies, all based on inverse dynamics. All the papers discussed above have relied on these analysis techniques. There are limitations to these approaches, however. First, inverse dynamics can inform us only about the " net " effect of muscle interactions, providing no information about the role of individual uniarticular and biarticular muscles. Second, we are unable to determine how individual muscles (or even net joint moments) influence the kinematics of body segments not directly connected to the joint being studied. And third, we cannot make conclusions about alternate control strategies that might improve function. These points are especially important in terms of rehabilitation engineering of motor dysfunction. It has become increasingly clear that more sophisticated biomechanical techniques are needed to overcome these limitations. Fortunately, these techniques already exist, though they have yet to be applied to disabled elders. The techniques referred to above fall into a class of biomechanics known as forward dynamic analysis, or dynamic simulations. They differ from inverse dynamic analysis in the sense that the inverse approach seeks to determine the joint moments and forces that explain the motions observed, while the forward approach seeks to determine the motions that occur given the forces and moments at the joints. Taken one step further, we can also use muscle models to distribute the net joint force and moments into individual muscle and joint contact forces (using an inverse approach), or we can specify muscle excitations and compute the body segment motions that result (using a forward approach). This latter approach is generally called neuromusculoskeletal modeling. A detailed description of this approach can be found in several recent publications.32-35 Forward dynamic simulations and neuromusculoskeletal models have been used primarily in healthy normal populations to better understand muscle function and coordination,36-39 but several recent studies have demonstrated their usefulness in predicting surgical outcomes for children with stiff knee gait associated with cerebral palsy.40- 42 Once a muscle model and simulation are built for a specific patient, alterations can be made to the model (such as changing the muscle's insertion with a tendon transfer) and the effect of these alterations on gait can be simulated. One area of clinical interest may be for treatment of hip flexor contracture in older adults. As suggested by our prior studies, eccentric hip flexor work is much greater for elders with general lower extremity impairments. Are patients taking advantage of tight hip flexors as a passive mechanism to aid in stance limb advance in swing phase? If so, does this result in increased hip loads? How should this compensatory strategy be modified (assuming it should be!)? Soon simulations may be able to answer these questions for individual patients. Engineering to move forward While these modeling and simulation techniques are not free of problematic issues (see Hatze43,44 for a discussion of these issues), they hold promise for rehabilitation engineering of gait disorder in older adults, as recently demonstrated in a simulation for better understanding muscle control in slow gait.45 In my opinion, when we better understand the relationships among impairments and the underlying neuromuscular adaptations, then subject-specific neuromusculoskeletal models may be the best hope for deciding how to modify impairments, simulate the outcomes of these modifications on gait, and better prescribe treatment options for alleviating the functional limitations that lead to disability in a growing elderly population. A. McGibbon, PhD, is a professor kinesiology and the research chair in rehabilitation biomechanics at the Institute of Biomedical Engineering at the University of New Brunswick in Fredericton, NB. References 1. Nagi SZ. 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Rehabilitation effects on compensatory gait mechanics in patients with arthritis and strength impairment. Arthritis Rheum 2003;49(2):248-254. 28. Kerrigan DC, Lee LW, JJ, et al. Reduced hip extension during walking: Healthy elderly and fallers versus young adults. Arch Phys Med Rehabil 2001;82(1):26-30. 29. Judge JO, RB, Ounpuu S. Step length reductions in advanced age: The role of ankle and hip kinetics. J Gerontol Med Sci 1996;51A (6):303-312. 30. Neptune RR, Kautz SA, Zajac FE. Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking. J Biomech 2001;34(11):1387-1398. 31. McGibbon C, Krebs D. Neuromuscular adaptations in gait: Effects of age and musculoskeletal pathology. Paper presented at the 10th annual Gait and Clinical Movement Analysis Society meeting, Portland, OR, 2005. 32. Buchanan TS, Lloyd DG, Manal K, Besier TF. 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Mutability of bifunctional thigh muscle activity in pedaling due to contralateral leg force generation. J Neurophysiol 2002;88(3):1308-1317. 38. Siegel KL, Kepple TM, Stanhope SJ. Joint moment control of mechanical energy flow during normal gait. Gait Posture 2004;19(1):69- 75. 39. Bei Y, Fregly BJ. Multibody dynamic simulation of knee contact mechanics. Med Eng Phys 2004;26(9):777-789. 40. Arnold A, F, Liu M, et al. Biomechanical efficacy of treatments for stiff-knee gait: a simulation-based case study. Paper presented at the 10th annual Gait and Clinical Movement Analysis Society meeting, Portland, OR, 2005. 41. Liu M, Arnold A, Goldberg S, et al. Quadriceps force in stance limits knee flexion in swing: insight from a subject-specific simulation of stiff-knee gait. Paper presented at the 10th annual Gait and Clinical Movement Analysis Society meeting, Portland, OR, 2005. 42. Goldberg S, Ounpuu S, Arnold A, et al. Improvements in stiff-knee gait are associated with decreases in stance-phase knee extension moments. Paper presented at the 10th annual Gait and Clinical Movement Analysis Society meeting, Portland, OR, 2005. 43. Hatze H. The fundamental problem of myoskeletal inverse dynamics and its implications. J Biomech 2002;35(1):109-115. 44. Hatze H. Fundamental issues, recent advances, and future directions in myodynamics. J Electromyogr Kinesiol 2002;12(6):447- 454. 45. Higginson J, Zajac F, Neptune R, Kautz S, Delp S. Differences in muscle contribution to support in slow gait. Paper presented at the 10th annual Gait and Clinical Movement Analysis Society meeting, Portland, OR, 2005. Quote Link to comment Share on other sites More sharing options...
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