Age effects on mediolateral balance control

L Eduardo Cofré Lizama, Mirjam Pijnappels, Gert H Faber, Peter N Reeves, Sabine M Verschueren, Jaap H van Dieën, L Eduardo Cofré Lizama, Mirjam Pijnappels, Gert H Faber, Peter N Reeves, Sabine M Verschueren, Jaap H van Dieën

Abstract

Background: Age-related balance impairments, particularly in mediolateral direction (ML) may cause falls. Sufficiently sensitive and reliable ML balance tests are, however, lacking. This study is aimed to determine (1) the effect of age on and (2) the reliability of ML balance performance using Center of Mass (CoM) tracking.

Methods: Balance performance of 19 young (26±3 years) and 19 older (72±5 years) adults on ML-CoM tracking tasks was compared. Subjects tracked predictable and unpredictable target displacements at increasing frequencies with their CoM by shifting their weight sideward. Phase-shift (response delay) and gain (amplitude difference) between the CoM and target in the frequency domain were used to quantify performance. Thirteen older and all young adults were reassessed to determine reliability of balance performance measures. In addition, all older adults performed a series of clinical balance tests and conventional posturography was done in a sub-sample.

Results: Phase-shift and gain dropped below pre-determined thresholds (-90 degrees and 0.5) at lower frequencies in the older adults and were even lower below these frequencies than in young adults. Performance measures showed good to excellent reliability in both groups. All clinical scores were close to the maximum and no age effect was found using posturography. ML balance performance measures exhibited small but systematic between-session differences indicative of learning.

Conclusions: The ability to accurately perform ML-CoM tracking deteriorates with age. ML-CoM tracking tasks form a reliable tool to assess ML balance in young and older adults and are more sensitive to age-related impairment than posturography and clinical tests.

Conflict of interest statement

Competing Interests: With regards to the role of MOTEK Medical BV, this company only provided the software for data collection. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and material.

Figures

Figure 1. Illustration of the set-up and…
Figure 1. Illustration of the set-up and the model for Center of Mass (CoM) calculation utilized in this experiment, showing a silhouette of a subject standing in the middle of a forceplate with marker placement superimposed (in white actual makers and in grey estimated joint centers) and the display of the CoM feedback (red sphere).
The white sphere in the centre represents target which moved in the mediolateral (ML) direction following the patterns depicted in the bottom panel: predictable (top) and unpredictable (bottom). An insertion of foot soles is presented showing foot positioning during the experiments (stance width and angle).
Figure 2. Averaged curves (± sd) for…
Figure 2. Averaged curves (± sd) for phase shift (top panel), gain (mid panel) and coherence (bottom panel) measures using both, predictable target (left) and unpredictable (right) targets, during first (continuous line) and second (dashed line) sessions and for the younger (in black) and the older adults (in dark grey).
Grey shading indicates the ± sd for all subjects and for all trials. Markers inserted in the plots indicate means for performance descriptors for the first session (circular markers) and second session (diamond markers) for the younger (in black) and the older adults (in dark grey).

References

    1. World Health Organization (2007) Global report on falls prevention in older age.
    1. Maki BE, Sibley KM, Jaglal SB, Bayley M, Brooks D, et al. (2011) Reducing fall risk by improving balance control: development, evaluation and knowledge-translation of new approaches. Journal of safety research 42: 473–485.
    1. Close JCT, Lord SR (2011) Clinical Review Fall assessment in older people. British Medical Journal 343.
    1. Dionyssiotis Y (2012) Analyzing the problem of falls among older people. International journal of general medicine 5: 805–813.
    1. Pardasaney PK, Latham NK, Jette AM, Wagenaar RC, Ni P, et al. (2012) Sensitivity to change and responsiveness of four balance measures for community-dwelling older adults. Physical Therapy 92: 388–397.
    1. Brauer SG, Burns YR, Galley P (2000) A Prospective Study of Laboratory and Clinical Measures of Postural Stability to Predict Community-Dwelling Fallers. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 55: M469–M476.
    1. Maki BE, Holliday PJ, Topper AK (1994) A prospective-study of postural balance and risk of falling in an ambulatory and independent elderly population. Journals of Gerontology 49: M72–M84.
    1. Hilliard MJ, Martinez KM, Janssen I, Edwards B, Mille M-L, et al. (2008) Lateral Balance Factors Predict Future Falls in Community-Living Older Adults. Archives of Physical Medicine and Rehabilitation 89: 1708–1713.
    1. Pardasaney PK, Latham NK, Jette AM, Wagenaar RC, Ni PS, et al. (2012) Sensitivity to Change and Responsiveness of Four Balance Measures for Community-Dwelling Older Adults. Physical Therapy 92: 388–397.
    1. van Wegen EEH, van Emmerik REA, Riccio GE (2002) Postural orientation: Age-related changes in variability and time-to-boundary. Human Movement Science 21: 61–84.
    1. Tucker MG, Kavanagh JJ, Morrison S, Barrett RS (2009) Voluntary sway and rapid orthogonal transitions of voluntary sway in young adults, and low and high fall-risk older adults. Clinical Biomechanics 24: 597–605.
    1. Robinovitch SN, Feldman F, Yang YJ, Schonnop R, Leung PM, et al. (2013) Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study. Lancet 381: 47–54.
    1. Topper AK, Maki BE, Holliday PJ (1993) Are activity-based assessments of balance and gait in the elderly predictive of risk of falling and or type of fall. Journal of the American Geriatrics Society 41: 479–487.
    1. Nevitt MC, Cummings SR, Black D, Genant HK, Arnaud C, et al. (1993) Type of fall and risk of hip and wrist fractures - the study of osteoporotic fractures. Journal of the American Geriatrics Society 41: 1226–1234.
    1. Teasdale N, Simoneau M (2001) Attentional demands for postural control: the effects of aging and sensory reintegration. Gait & Posture 14: 203–210.
    1. Orr R (2010) Contribution of muscle weakness to postural instability in the elderly A systematic review. European Journal of Physical and Rehabilitation Medicine 46: 183–220.
    1. Cofré Lizama LE, Pijnappels M, Reeves NP, Verschueren SMP, van Dieën JH (2013) Frequency domain mediolateral balance assessment using a center of pressure tracking task. Journal of biomechanics 46: 2831–2836.
    1. Winter DA, Patla AE, Frank JS (1990) Assesment of balance control in humans. Medical Progress through Technology 16: 31–51.
    1. Tiedemann A, Lord SR, Sherrington C (2010) The Development and Validation of a Brief Performance-Based Fall Risk Assessment Tool for Use in Primary Care. Journals of Gerontology Series a-Biological Sciences and Medical Sciences 65: 893–900.
    1. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, et al. (1994) A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol A: Biol Sci Med Sci 49: 85–94.
    1. Thorbahn LDB, Newton RA (1996) Use of the Berg balance test to predict falls in elderly persons. Physical Therapy 76: 576–583.
    1. Franchignoni F, Horak F, Godi M, Nardone A, Giordano A (2010) Using psychometric techniques to improve the balance evaluation systems test: the mini-bestest. Journal of Rehabilitation Medicine 42: 323–331.
    1. Harada N, Chiu V, Damronrodriguez J, Fowler E, Siu A, et al. (1995) Screening for balance and mobility impairment in elderly individuals living in residential care facilities. Physical Therapy 75: 462–469.
    1. Barry E, Galvin R, Keogh C, Horgan F, Fahey T (2014) Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC geriatrics 14: 14–14.
    1. de Leva P (1996) Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. Journal of biomechanics 29: 1223–1230.
    1. Bingham JT, Choi JT, Ting LH (2011) Stability in a frontal plane model of balance requires coupled changes to postural configuration and neural feedback control. Journal of Neurophysiology 106: 437–448.
    1. McIlroy WE, Maki BE (1997) Preferred placement of the feet during quiet stance: Development of a standardized foot placement for balance testing. Clinical Biomechanics 12: 66–70.
    1. Cicchetti DV, Sparrow SA (1981) Developing criteria for establishing interrater reliability of specific items - Applications to assessment of adaptive-behavior. American Journal of Mental Deficiency 86: 127–137.
    1. Piirtola M, Era P (2006) Force platform measurements as predictors of falls among older people - A review. Gerontology 52: 1–16.
    1. van Emmerik REA, van Wegen EEH (2002) On the functional aspects of variability in postural control. Exercise and Sport Sciences Reviews 30: 177–183.
    1. Mak MKY, Auyeung MM (2013) The mini-BESTest can predict parkinsonian recurrent fallers: a 6-month prospective study. Journal of Rehabilitation Medicine 45: 565–571.
    1. Egerton T, Brauer SG, Cresswell AG (2010) Dynamic postural stability is not impaired by moderate-intensity physical activity in healthy or balance-impaired older people. Human Movement Science 29: 1011–1022.
    1. Chang SHJ, Mercer VS, Giuliani CA, Sloane PD (2005) Relationship between hip abductor rate of force development and mediolateral stability in older adults. Archives of Physical Medicine and Rehabilitation 86: 1843–1850.
    1. Nilwik R, Snijders T, Leenders M, Groen BBL, van Kranenburg J, et al. (2013) The decline in skeletal muscle mass with aging is mainly attributed to a reduction in type II muscle fiber size. Experimental Gerontology 48: 492–498.
    1. Lexell J (1995) Human aging, muscle mass, and fiber-type composition. Journals of Gerontology Series a-Biological Sciences and Medical Sciences 50: 11–16.
    1. Narici MV, Maffulli N, Maganaris CN (2008) Ageing of human muscles and tendons. Disability and Rehabilitation 30: 1548–1554.
    1. Hortobagyi T, DeVita P (2006) Mechanisms responsible for the age-associated increase in coactivation of antagonist muscles. Exercise and Sport Sciences Reviews 34: 29–35.
    1. Cenciarini M, Loughlin PJ, Sparto PJ, Redfern MS (2010) Stiffness and Damping in Postural Control Increase With Age. Ieee Transactions on Biomedical Engineering 57: 267–275.
    1. Shaffer SW, Harrison AL (2007) Aging of the somatosensory system: A translational perspective. Physical Therapy 87: 193–207.
    1. Wingert JR, Welder C, Foo P (2014) Age-Related Hip Proprioception Declines: Effects on Postural Sway and Dynamic Balance. Archives of Physical Medicine and Rehabilitation 95: 253–261.
    1. Cofré Lizama LE, Pijnappels M, Reeves NP, Verschueren SMP, van Dieën JH Can visual feedback efface the effects of sensory manipulations on mediolateral balance performance? Submitted.
    1. Baloh RW, Ying SH, Jacobson KM (2003) A longitudinal study of gait and balance dysfunction in normal older people. Archives of Neurology 60: 835–839.
    1. Goodworth AD, Peterka RJ (2009) Contribution of sensorimotor integration to spinal stabilization in humans. J Neurophysiol 102: 496–512.
    1. Freiherr J, Lundstrom JN, Habel U, Reetz K (2013) Multisensory integration mechanisms during aging. Frontiers in Human Neuroscience 7.
    1. Peterka RJ (2002) Sensorimotor integration in human postural control. Journal of Neurophysiology 88: 1097–1118.
    1. Hay L, Bard C, Fleury M, Teasdale N (1996) Availability of visual and proprioceptive afferent messages and postural control in elderly adults. Experimental Brain Research 108: 129–139.
    1. Maki BE, McIlroy WE (2007) Cognitive demands and cortical control of human balance-recovery reactions. Journal of Neural Transmission 114: 1279–1296.
    1. Horak FB (2006) Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? Age and Ageing 35: 7–11.
    1. Sparto PJ, Jennings JR, Furman JM, Redfern MS (2014) Lateral step initiation behavior in older adults. Gait & Posture 39: 799–803.
    1. King BR, Fogel SM, Albouy G, Doyon J (2013) Neural correlates of the age-related changes in motor sequence learning and motor adaptation in older adults. Frontiers in Human Neuroscience 7.
    1. Young WR, Hollands MA (2012) Evidence for age-related decline in visuomotor function and reactive stepping adjustments. Gait & Posture 36: 477–481.

Source: PubMed

3
Abonnieren