Variability of spatial temporal gait parameters and center of pressure displacements during gait in elderly fallers and nonfallers: A 6-month prospective study
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
28241008
PubMed Central
PMC5328253
DOI
10.1371/journal.pone.0171997
PII: PONE-D-16-13241
Knihovny.cz E-zdroje
- MeSH
- biomechanika MeSH
- časoprostorová analýza MeSH
- chůze (způsob) fyziologie MeSH
- chůze fyziologie MeSH
- hodnocení rizik MeSH
- lidé středního věku MeSH
- lidé MeSH
- pohyb MeSH
- posturální rovnováha fyziologie MeSH
- prospektivní studie MeSH
- prostorové chování * MeSH
- senioři MeSH
- tělesná výška MeSH
- tlak MeSH
- úrazy pádem prevence a kontrola MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Considering that most of the falls in elderly population arise during walking, tests derived from walking performance would be desirable for comprehensive fall risk assessment. The analysis of spatial temporal parameters and the center of pressure displacement, which represents the interaction between the human body and the ground, would be beneficial. The aim of this study was to compare spatial temporal gait parameters and their variability and the variability of the center of pressure displacement between elderly fallers and nonfallers during gait at self-selected, defined and fast speeds. A prospective study design was used. At the baseline, measurements of ground reaction force during gait at self-selected, defined and fast walking speeds by two force plates were performed. In addition, the Tinetti balance assessment tool, the Falls Efficacy Scale-International and the Activities-Specific Balance Confidence Scale were used. Mean and coefficient of variation of spatial temporal gait parameters and standard deviations of center of pressure displacement during loading response, midstance, terminal stance and preswing phases were calculated. Comparison of the fallers and nonfallers exhibited no significant difference in clinical tool, scales or spatial temporal parameters. Compared to nonfallers' increased variability of walking speed at self-selected and defined speed, step width at fast walking speed and center of pressure displacement during preswing phase in medial-lateral directions at defined walking speed was found in fallers. However, application of the Holm-Bonferroni procedure for multiple comparisons exhibited no significant effect of group in any of the gait parameters. In general, our study did not observe an effect of group (fallers vs. nonfallers) on variability of spatial temporal parameters and center of pressure movement during gait. However, walking speed, step width as well as standard deviation of COP displacement in the medial-lateral direction during preswing exhibited a certain potential for distinguishing between elderly fallers and nonfallers.
Zobrazit více v PubMed
Brauer SG, Burns YR, Galley P. A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers. J Gerontol A Biol Sci Med Sci. 2000;55(8):M469–M476. PubMed
Buatois S, Gueguen R, Gauchard GC, Benetos A, Perrin PP. Posturography and risk of recurrent falls in healthy non-institutionalized persons aged over 65. Gerontology. 2006;52(6):345–352. 10.1159/000094983 PubMed DOI
Merlo A, Zemp D, Zanda E, Rocchi S, Meroni F, Tettamanti M, et al. Postural stability and history of falls in cognitively able older adults: The Canton Ticino study. Gait Posture. 2012;36(4):662–666. 10.1016/j.gaitpost.2012.06.016 PubMed DOI
Melzer I, Benjuya N, Kaplanski J. Postural stability in the elderly: a comparison between fallers and non-fallers. Age Ageing. 2004;33(6):602–607. 10.1093/ageing/afh218 PubMed DOI
Pajala S, Era P, Koskenvuo M, Kaprio J, Törmäkangas T, Rantanen T. Force platform balance measures as predictors of indoor and outdoor falls in community-dwelling women aged 63–76 years. J Gerontol A Biol Sci Med Sci. 2008;63(2):171–178. PubMed
Kurz I, Oddsson L, Melzer I. Characteristics of balance control in older persons who fall with injury—A prospective study. J Electromyogr Kinesiol. 2013;23(4):814–819. 10.1016/j.jelekin.2013.04.001 PubMed DOI
Talbot LA, Musiol RJ, Witham EK, Metter EJ. Falls in young, middle-aged and older community dwelling adults: Perceived cause, environmental factors and injury. BMC Public Health. 2005;5. PubMed PMC
Hamacher D, Singh NB, Van Dieen JH, Heller MO, Taylor WR. Kinematic measures for assessing gait stability in elderly individuals: A systematic review. J R Soc Interface. 2011;8(65):1682–1698. 10.1098/rsif.2011.0416 PubMed DOI PMC
Hausdorff JM, Edelberg HK, Mitchell SL, Goldberger AL, Wei JY. Increased gait unsteadiness in community-dwelling elderly failers. Arch Phys Med Rehabil. 1997;78(3):278–283. PubMed
Hausdorff JM, Rios DA, Edelberg HK. Gait variability and fall risk in community-living older adults: A 1-year prospective study. Arch Phys Med Rehabil. 2001;82(8):1050–1056. 10.1053/apmr.2001.24893 PubMed DOI
König N, Taylor WR, Armbrecht G, Dietzel R, Singh NB. Identification of functional parameters for the classification of older female fallers and prediction of 'first-time' fallers. J R Soc Interface. 2014;11(97), 20140353 10.1098/rsif.2014.0353 PubMed DOI PMC
Mortaza N, Abu Osman NA, Mehdikhani N. Are the spatio-temporal parameters of gait capable of distinguishing a faller from a non-faller elderly? Eur J Phys Rehabil Med. 2014;50(6):677–691. PubMed
Bizovska L, Svoboda Z, Kutilek P, Janura M, Gaba A, Kovacikova Z. Variability of centre of pressure movement during gait in young and middle-aged women. Gait Posture. 2014;40(3):399–402. 10.1016/j.gaitpost.2014.05.065 PubMed DOI
Svoboda Z, Bizovská L, Kováčiková Z, Kutílek P, Cuberek R, Janura M. Effect of lower limb preference on variability of centre of pressure movement during gait. Acta Gymnica. 2015;45(4):203–207.
Myers AM, Fletcher PC, Myers AH, Sherk W. Discriminative and evaluative properties of the activities-specific balance confidence (ABC) scale. J Gerontol A Biol Sci Med Sci. 1998;53(4):M287–M294. PubMed
Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing. 2005;34(6):614–619. 10.1093/ageing/afi196 PubMed DOI
Powell LE, Myers AM. The Activities-specific Balance Confidence (ABC) Scale. J Gerontol A Biol Sci Med Sci. 1995;50 A(1):M28–M34. PubMed
Reguli Z, Svobodová L. Česká verze diagnostiky strachu z pádů u seniorů –FES-I (Falls Efficacy Scale International) [Czech version of the diagnosis of fear of falls in seniors—FES-I (Falls Efficacy Scale International)]. Studia sportiva. 2011;5(2):5–12.
World Health Organization. Process of translation and adaptation of instruments. 2015. Available: http://www.who.int/substance_abuse/research_tools/translation/en/.
Bohannon RW, Williams Andrews A. Normal walking speed: A descriptive meta-analysis. Physiotherapy. 2011;97(3):182–189. 10.1016/j.physio.2010.12.004 PubMed DOI
Lamb SE, Jørstad-Stein EC, Hauer K, Becker C. Development of a common outcome data set for fall injury prevention trials: The Prevention of Falls Network Europe consensus. J Am Geriatr Soc. 2005;53(9):1618–1622. 10.1111/j.1532-5415.2005.53455.x PubMed DOI
Muniz AMS, Nadal J. Application of principal component analysis in vertical ground reaction force to discriminate normal and abnormal gait. Gait Posture. 2009;29(1):31–35. 10.1016/j.gaitpost.2008.05.015 PubMed DOI
Svoboda Z, Janura M, Cabell L, Elfmark M. Variability of kinetic variables during gait in unilateral transtibial amputees. Prosthet Orthotics Int. 2012;36(2):225–230. PubMed
Coolican H. Research methods and statistics in psychology 5th ed. London, UK: Routledge; 2009. 714 p.
Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6(2):65–70.
Muir JW, Kiel DP, Hannan M, Magaziner J, Rubin CT. Dynamic parameters of balance which correlate to elderly persons with a history of falls. PLoS One. 2013;8(8), e70566 10.1371/journal.pone.0070566 PubMed DOI PMC
Tinetti ME, Franklin Williams T, Mayewski R. Fall risk index for elderly patients based on number of chronic disabilities. Am J Med. 1986;80(3):429–434. PubMed
Verghese J, Holtzer R, Lipton RB, Wang C. Quantitative gait markers and incident fall risk in older adults. J Gerontol A Biol Sci Med Sci. 2009;64(8):896–901. 10.1093/gerona/glp033 PubMed DOI PMC
Deshpande N, Metter EJ, Bandinelli S, Guralnik J, Ferrucci L. Gait speed under varied challenges and cognitive decline in older persons: A prospective study. Age Ageing. 2009;38(5):509–514. 10.1093/ageing/afp093 PubMed DOI PMC
Perry J. Normal gait In: Smith D, Michael J, Bowker J, editors. Atlas of amputations and limb deficiencies: Surgical, prosthetic, and rehabilitation principles. 3rd ed. Rosemont, IL: American Academy of Orthopaedic Surgeons; 2004. p. 353–366.
Barak Y, Wagenaar RC, Holt KG. Gait characteristics of elderly people with a history of falls: A dynamic approach. Phys Ther. 2006;86(11):1501–1510. 10.2522/ptj.20050387 PubMed DOI