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Part 2 — A Special Selection on Biological MechanicsNo Access

A PRELIMINARY STUDY OF AGE-SPECIFIC DIFFERENCES IN BALANCE, MUSCLE STRENGTH, AND POSTURAL SWAY FOR THE RISK OF FALLING

    https://doi.org/10.1142/S0219519417400218Cited by:0 (Source: Crossref)

    Fall is the main cause of activity decline for the elderly. In general, it has been known to be closely related to decline in muscle strength and physical balance. The age profile of the elderly has a very wide range from 60 to 90 or more. Therefore, this study was to determine age-specific risk factors for falling in elderly individuals. Elderly females were included either in the old group (<75 years; n=35, with 11 fallers and 24 nonfallers) or the older group (75 years; n=36, with 14 fallers and 22 nonfallers). The following were assessed and compared between the age-based groups and between fall-based subgroups (fallers and nonfallers within a given age group): height, weight, mental state, balance on the Berg balance scale (BBS), muscle strength of nine muscle groups, and 20 variables of postural sway. The two age-based groups differed significantly in terms of height, weight, balance, and postural sway (total sway area, 95% ellipse area, root mean square, mean distance, and total power); on the other hand, the fall-based subgroups differed only in terms of the median frequency of postural sway. Furthermore, the strength of the hip abductors displayed an interaction effect between age and fall status, and the result of main effect analysis revealed significant differences between fallers from the two age-based groups. These results confirm that extraction of specific factors for each age group is necessary to perform fall detection and prevention studies for the healthy elderly.

    References

    • 1. Blum L, Korner-Bitensky N, Usefulness of the Berg balance scale in Stroke rehabilitation: A systematic review, Phys Ther 88 :559–566, 2008. Crossref, Web of ScienceGoogle Scholar
    • 2. Boulgarides LK, McGinty SM, Willett JA, Barnes CW, Use of clinical and impairment-based tests to predict falls by community-dwelling older adults, Phys Ther 83 :328–339, 2003. Crossref, Web of ScienceGoogle Scholar
    • 3. Chaikeeree N, Saengsirisuwan V, Chinsongkram B, Boonsinsukh R, Interaction of age and foam types used in clinical test for sensory interaction and balance (CTSIB), Gait & Posture 41 :313–315, 2015. Crossref, Web of ScienceGoogle Scholar
    • 4. Cho S-I, An D-H, Effects of a fall prevention exercise program on muscle strength and balance of the old-old elderly, J Phys Ther Sci 26 :1771–1774, 2014. Crossref, Web of ScienceGoogle Scholar
    • 5. Downs S, Marquez J, Chiarelli P, The Berg Balance Scale has high intra- and inter-rater reliability but absolute reliability varies across the scale: A systematic review, J Physiother 59 :93–99, 2013. Crossref, Web of ScienceGoogle Scholar
    • 6. Giné-Garriga M, Guerra M, Manini TM, Marí-Dell’Olmo M, Pagès E, Unnithan VB, Measuring balance, lower extremity strength and gait in the elderly: Construct validation of an instrument, Arch Gerontol Geriat 51 :199–204, 2010. Crossref, Web of ScienceGoogle Scholar
    • 7. Hilliard MJ, Martinez KM, Janssen I, Edwards B, Mille M-L, Zhang Y, Rogers MW, Lateral balance factors predict future falls in community-living older adults, Arch Phys Med Rehab 89 :1708–1713, 2008. Crossref, Web of ScienceGoogle Scholar
    • 8. Horak FB, Shupert CL, Mirka A, Components of postural dyscontrol in the elderly: A review, Neurobiol Aging 10 :727–738, 1989. Crossref, Web of ScienceGoogle Scholar
    • 9. Howcroft J, Kofman J, Lemaire ED, Review of fall risk assessment in geriatric populations using inertial sensors, J NeuroEng Rehab 10 :1–12, 2013. Crossref, Web of ScienceGoogle Scholar
    • 10. Hubble RP, Naughton GA, Silburn PA, Cole MH, Wearable sensor use for assessing standing balance and walking stability in people with Parkinson’s disease: A systematic review, PLoS ONE 10 :e0123705, 2015. Crossref, Web of ScienceGoogle Scholar
    • 11. Kim, M-H, Yoo W-G, Comparison of center of force trajectory during sit-to-stand movements performed by elderly and old-old elderly subjects, J Phys Ther Sci 26 :1403–1404, 2014. CrossrefGoogle Scholar
    • 12. Lamoureux EL, Sparrow WA, Murphy A, Newton RU, Differences in the neuromuscular capacity and lean muscle tissue in old and older community-dwelling adults, J Gerontol Ser A 56 :M381–M385, 2001. Crossref, Web of ScienceGoogle Scholar
    • 13. Latash ML, Neurophysiological Basis of Movement. Human Kinetics, Champaign, IL, US, 2008. Google Scholar
    • 14. Lindle RS et al., Age and gender comparisons of muscle strength in 654 women and men aged 20–93 yr, J Appl Physiol 83 :1581–1587, 1997. Crossref, Web of ScienceGoogle Scholar
    • 15. Mancini M, Salarian A, Carlson-Kuhta P, Zampieri C, King L, Chiari L, Horak FB, ISway: A sensitive, valid and reliable measure of postural control, J NeuroEng Rehab 9 :59, 2012. Crossref, Web of ScienceGoogle Scholar
    • 16. Merlini L, Mazzone ES, Solari A, Morandi L, Reliability of hand-held dynamometry in spinal muscular atrophy, Muscle & Nerve 26 :64–70, 2002. Crossref, Web of ScienceGoogle Scholar
    • 17. Mille M-L, Johnson ME, Martinez KM, Rogers MW, Age-dependent differences in lateral balance recovery through protective stepping, Clin Biomech 20 :607–616, 2005. Crossref, Web of ScienceGoogle Scholar
    • 18. Muir SW, Berg K, Chesworth B, Klar N, Speechley M, Quantifying the magnitude of risk for balance impairment on falls in community-dwelling older adults: A systematic review and meta-analysis, J Clin Epidemiol 63 :389–406, 2010. Crossref, Web of ScienceGoogle Scholar
    • 19. Muir SW, Berg K, Chesworth B, Speechley M, Use of the Berg balance scale for predicting multiple falls in community-dwelling elderly people: A prospective study, Phys Ther 88 :449–459, 2008. Crossref, Web of ScienceGoogle Scholar
    • 20. Neville C, Ludlow C, Rieger B, Measuring Postural Stability with an Inertial Sensor: Validity and Sensitivity, Medical Devices, Auckland, NZ, 2015. Google Scholar
    • 21. Nolan M, Nitz J, Choy NL, Illing S, Age-related changes in musculoskeletal function, balance and mobility measures in men aged 30–80 years, The Aging Male 13 :194–201, 2010. Crossref, Web of ScienceGoogle Scholar
    • 22. Pizzigalli L, Filippini A, Ahmaidi S, Jullien H, Rainoldi A, Prevention of falling risk in elderly people: The relevance of muscular strength and symmetry of lower limbs in postural stability, Journal of Strength & Conditioning Research 25 :567–574, 2011. Crossref, Web of ScienceGoogle Scholar
    • 23. Prieto TE, Myklebust JB, Hoffmann RG, Lovett EG, Myklebust BM, Measures of postural steadiness: Differences between healthy young and elderly adults, IEEE Trans Biomed Eng 43 :956–966, 1996. Crossref, Web of ScienceGoogle Scholar
    • 24. Rubenstein LZ, Falls in older people: Epidemiology, risk factors and strategies for prevention, Age and Ageing 35 :ii37–ii41, 2006. Crossref, Web of ScienceGoogle Scholar
    • 25. Santos GM, Souza ACS, Virtuoso JF, Tavares GMS, Mazo GZ, Predictive values at risk of falling in physically active and no active elderly with Berg balance scale, Brazilian J Phys Ther, 15 :95–101, 2011. Crossref, Web of ScienceGoogle Scholar
    • 26. Spink MJ, Fotoohabadi MR, Menz HB, Foot and ankle strength assessment using hand-held dynamometry: Reliability and age-related differences, Gerontology 56 :525–532, 2010. Crossref, Web of ScienceGoogle Scholar
    • 27. WHO, WHO Global Report on Falls Prevention in Older Age, World Health Organization, Geneva, Switzerland, 2007. Available at http://www.who.int/ageing/publications/Falls_prevention7March.pdf. Google Scholar