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      Balance and gait in the elderly: A contemporary review

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          Abstract

          Background

          The prevalence of balance and gait deficits increases with age and is associated with the increased incidence of falls seen in the elderly population; these falls are associated with significant morbidity and mortality.

          Objectives

          To review changes in gait and balance associated with aging and the effect of visual perturbations on gait and balance in the elderly to provide a basis for future research.

          Methods

          PubMed and Cochrane Library were searched for articles from 1980 to present pertaining to gait and balance in older adults (>60) and younger adults (<60). Search terms included balance, posture, gait, locomotion, gait variability, gait disorders, gait disturbance, elderly, aging, falls, vision, visual, vestibular, and virtual reality. The references section of queried articles was also used to find relevant studies. Studies were excluded if subjects had a diagnosed gait or balance disorder.

          Results

          Elderly adults show age‐related decline in sensory systems and reduced ability to adapt to changes in their environment to maintain balance. Elderly adults are particularly dependent on vision to maintain postural stability. Distinct changes in spatiotemporal gait parameters are associated with aging, such as slower gait and increased gait variability, which are amplified with exposure to visual perturbations. Increased gait variability, specifically with mediolateral perturbations, poses a particular challenge for elderly adults and is linked to increased falls risk. Virtual reality training has shown promising effects on balance and gait.

          Conclusion

          Elderly adults show age‐related decline in balance and gait with increased gait variability and an associated increased risk of falls.

          Level of Evidence

          5

          Related collections

          Most cited references46

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          Risk factors for falls among elderly persons living in the community.

          To study risk factors for falling, we conducted a one-year prospective investigation, using a sample of 336 persons at least 75 years of age who were living in the community. All subjects underwent detailed clinical evaluation, including standardized measures of mental status, strength, reflexes, balance, and gait; in addition, we inspected their homes for environmental hazards. Falls and their circumstances were identified during bimonthly telephone calls. During one year of follow-up, 108 subjects (32 percent) fell at least once; 24 percent of those who fell had serious injuries and 6 percent had fractures. Predisposing factors for falls were identified in linear-logistic models. The adjusted odds ratio for sedative use was 28.3; for cognitive impairment, 5.0; for disability of the lower extremities, 3.8; for palmomental reflex, 3.0; for abnormalities of balance and gait, 1.9; and for foot problems, 1.8; the lower bounds of the 95 percent confidence intervals were 1 or more for all variables. The risk of falling increased linearly with the number of risk factors, from 8 percent with none to 78 percent with four or more risk factors (P less than 0.0001). About 10 percent of the falls occurred during acute illness, 5 percent during hazardous activity, and 44 percent in the presence of environmental hazards. We conclude that falls among older persons living in the community are common and that a simple clinical assessment can identify the elderly persons who are at the greatest risk of falling.
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            Active control of lateral balance in human walking.

            We measured variability of foot placement during gait to test whether lateral balance must be actively controlled against dynamic instability. The hypothesis was developed using a simple dynamical model that can walk down a slight incline with a periodic gait resembling that of humans. This gait is entirely passive except that it requires active control for a single unstable mode, confined mainly to lateral motion. An especially efficient means of controlling this instability is to adjust lateral foot placement. We hypothesized that similar active feedback control is performed by humans, with fore-aft dynamics stabilized either passively or by very low-level control. The model predicts that uncertainty within the active feedback loop should result in variability in foot placement that is larger laterally than fore-aft. In addition, loss of sensory information such as by closing the eyes should result in larger increases in lateral variability. The control model also predicts a slight coupling between step width and length. We tested 15 young normal human subjects and found that lateral variability was 79% larger than fore-aft variability with eyes open, and a larger increase in lateral variability (53% vs. 21%) with eyes closed, consistent with the model's predictions. We also found that the coupling between lateral and fore-aft foot placements was consistent with a value of 0.13 predicted by the control model. Our results imply that humans may harness passive dynamic properties of the limbs in the sagittal plane, but must provide significant active control in order to stabilize lateral motion.
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              Assessing the stability of human locomotion: a review of current measures.

              Falling poses a major threat to the steadily growing population of the elderly in modern-day society. A major challenge in the prevention of falls is the identification of individuals who are at risk of falling owing to an unstable gait. At present, several methods are available for estimating gait stability, each with its own advantages and disadvantages. In this paper, we review the currently available measures: the maximum Lyapunov exponent (λS and λL), the maximum Floquet multiplier, variability measures, long-range correlations, extrapolated centre of mass, stabilizing and destabilizing forces, foot placement estimator, gait sensitivity norm and maximum allowable perturbation. We explain what these measures represent and how they are calculated, and we assess their validity, divided up into construct validity, predictive validity in simple models, convergent validity in experimental studies, and predictive validity in observational studies. We conclude that (i) the validity of variability measures and λS is best supported across all levels, (ii) the maximum Floquet multiplier and λL have good construct validity, but negative predictive validity in models, negative convergent validity and (for λL) negative predictive validity in observational studies, (iii) long-range correlations lack construct validity and predictive validity in models and have negative convergent validity, and (iv) measures derived from perturbation experiments have good construct validity, but data are lacking on convergent validity in experimental studies and predictive validity in observational studies. In closing, directions for future research on dynamic gait stability are discussed.
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                Author and article information

                Contributors
                anil.lalwani@columbia.edu
                Journal
                Laryngoscope Investig Otolaryngol
                Laryngoscope Investig Otolaryngol
                10.1002/(ISSN)2378-8038
                LIO2
                Laryngoscope Investigative Otolaryngology
                John Wiley & Sons, Inc. (Hoboken, USA )
                2378-8038
                04 February 2019
                February 2019
                : 4
                : 1 ( doiID: 10.1002/lio2.v4.1 )
                : 143-153
                Affiliations
                [ 1 ] Department of Rehabilitation and Regenerative Medicine Columbia University Vagelos College of Physicians and Surgeons New York New York
                [ 2 ] Department of Otolaryngology–Head and Neck Surgery Columbia University Vagelos College of Physicians and Surgeons New York New York
                [ 3 ] Columbia University Vagelos College of Physicians and Surgeons New York New York
                [ 4 ] Department of Mechanical Engineering Columbia University New York New York
                Author notes
                [*] [* ]Send correspondence to Anil K. Lalwani, MD, Department of Otolaryngology–Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, 180 Fort Washington Avenue, Harkness Pavilion, 8th Floor, New York, NY 10032. Email: anil.lalwani@ 123456columbia.edu
                Author information
                https://orcid.org/0000-0003-1882-8511
                Article
                LIO2252
                10.1002/lio2.252
                6383322
                30828632
                21ba2cc0-4742-4acb-82ca-5de85b4e08c6
                © 2019 The Authors. Laryngoscope Investigative Otolaryngology published by Wiley Periodicals, Inc. on behalf of The Triological Society.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 03 August 2018
                : 12 November 2018
                : 15 December 2018
                Page count
                Figures: 4, Tables: 3, Pages: 11, Words: 10467
                Categories
                Otology, Neurotology, and Neuroscience
                Otology, Neurotology, and Neuroscience
                Review
                Custom metadata
                2.0
                lio2252
                February 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.5.9 mode:remove_FC converted:21.02.2019

                gait,elderly,balance,visual perturbations,virtual reality,spatiotemporal

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