old people; accelerometric and opto-electronic methods; three walking conditions
Abstract :
[en] Background
Gait patterns of healthy aging are needed to allow a comparison with pathological situations. However, little data is available.
Objective
To present gait pattern of healthy older specially selected to be “healthy walkers”.
Method
Fifty-seven older people benefited from a geriatric assessment including clinical and functional evaluations to include only those without gait disorders. Gait data were simultaneously recorded using a tri-axial accelerometer placed on the waist and four 3D position markers placed on the feet at the level of the heel and the toe. Volunteers walked at comfortable self-selected speed (CW), fast self-selected speed (FW), and finally in dual task walking condition (DTW). The extracted gait parameters were: gait speed, stride length, stride frequency, regularity and symmetry, swing, stance and double support time and ratio and minimum toe clearance. Gait speed and stride length were normalized to the right leg length.
Results
Fifty-seven older people with a mean age of 69.7 ± 4.2 years old (range from 65 to 82 years) were included. Data were analyzed according to the gender and according to the age (<70 or ≥70 years old). After normalization to leg length, the main significant differences were shown for stride length and minimum toe clearance in CW, FW and in DTW that were shorter in women. The regularity in FW was significantly lower among older volunteers.
Conclusions
This work provides a data set considering 14 gait parameters obtained from 57 healthy old people strictly selected and assessed for three walking conditions and shows that GS, SL and MTC have to be related to the gender. The age-related impact on gait performances appears reduced in this cohort.
Disciplines :
Public health, health care sciences & services Geriatrics
Author, co-author :
GILLAIN, Sophie ; Centre Hospitalier Universitaire de Liège - CHU > Service de gériatrie
Boutaayamou, Mohamed ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Dardenne, Nadia ; Université de Liège > Département des sciences de la santé publique > Biostatistique
Schwartz, Cédric ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Demonceau, Marie ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
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Bibliography
Moe-Nilssen R, Helbostad JL (2004) Estimation of gait cycle characteristics by trunk accelerometry. J Biomech 37:121–126. doi:10.1016/S0021-9290(03)00233-1
Auvinet B, Berrut G, Touzard C et al (2002) Reference data for normal subjects obtained with an accelerometric device. Gait Posture 16:124–134. doi:10.1016/S0966-6362(01)00203-X
Bautmans I, Jansen B, Van Keymolen B et al (2011) Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk. Gait Posture 33:366–372. doi:10.1016/j.gaitpost.2010.12.003
Hartmann A, Luzi S, Murer K et al (2009) Concurrent validity of a trunk tri-axial accelerometer system for gait analysis in older adults. Gait Posture 29:444–448. doi:10.1016/j.gaitpost.2008.11.003
Gillain S, Warzee E, Lekeu F et al (2009) The value of instrumental gait analysis in elderly healthy, MCI or Alzheimer’s disease subjects and a comparison with other clinical tests used in single and dual-task conditions. Ann Phys Rehab Med 52:453–474. doi:10.1016/j.rehab.2008.10.004
Gillain S, Dramé M, Lekeu F et al (2015) Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study. Aging Clin Exp Res 28:249–255. doi:10.1007/s40520-015-0392-6
Senden R, Grimm B, Heyligers IC et al (2009) Acceleration-based gait test for healthy subjects: Reliability and reference data. Gait Posture 30:192–196. doi:10.1016/j.gaitpost.2009.04.008
Senden R, Meijer K, Heyligers IC et al (2012) Importance of correcting for individual differences in the clinical diagnosis of gait disorders. Physiotherapy 98:320–324. doi:10.1016/j.physio.2011.06.002
Gorton Iii GE, Hebert DA, Gannotti ME (2009) Assessment of the kinematic variability among 12 motion analysis laboratories. Gait Posture 29:398–402. doi:10.1016/j.gaitpost.2008.10.060
O’Sullivan K, O’Sullivan L, Campbell A et al (2012) Towards monitoring lumbo-pelvic posture in real-life situations: concurrent validity of a novel posture monitor and a traditional laboratory-based motion analysis system. Man Ther 17:77–83. doi:10.1016/j.math.2011.09.006
Schwartz C, Denoël V, Forthomme B et al (2015) Merging multi-camera data to reduce motion analysis instrumental errors using Kalman filters. Comput Methods Biomech Biomed Eng 18:952–960. doi:10.1080/10255842.2013.864640
Deshpande N, Metter EJ, Bandinelli S et al (2009) Gait speed under varied challenges and cognitive decline in older persons: a prospective study. Age Ageing 38:509–514. doi:10.1093/ageing/afp093
Fitzpatrick AL, Buchanan CK, Nahin RL et al (2007) Associations of gait speed and other measures of physical function with cognition in a healthy cohort of elderly persons. J Gerontol Ser A Biol Sci Med Sci 62:1244–1251
Artaud F, Singh-Manoux A, Dugravot A et al (2015) Decline in fast gait speed as a predictor of disability in older adults. J Am Geriatr Soc 63:1129–1136. doi:10.1111/jgs.13442
Scherder E, Eggermont L, Swaab D et al (2007) Gait in ageing and associated dementias; its relationship with cognition. Neurosci Biobehav Rev 31:485–497. doi:10.1016/j.neubiorev.2006.11.007
Verghese J, Holtzer R, Lipton RB et al (2012) Mobility stress test approach to predicting frailty, disability, and mortality in high-functioning older adults. J Am Geriatr Soc 60:1901–1905. doi:10.1111/j.1532-5415.2012.04145.x
Montero-Odasso M, Muir SW, Speechley M (2012) Dual-task complexity affects gait in people with mild cognitive impairment: the interplay between gait variability, dual tasking, and risk of falls. Arch Phys Med Rehabil 93:293–299. doi:10.1016/j.apmr.2011.08.026
Yogev-Seligmann G, Rotem-Galili Y, Mirelman A et al (2010) How does explicit prioritization alter walking during dual-task performance? Effects of age and sex on gait speed and variability. Phys Ther 90:177–186. doi:10.2522/ptj.20090043
Boutaayamou M, Schwartz C, Stamatakis J et al (2015) Development and validation of an accelerometer-based method for quantifying gait events. Med Eng Phys 37:226–232. doi:10.1016/j.medengphy.2015.01.001
Ko S-u, Tolea MI, Hausdorff JM et al (2011) Sex-specific differences in gait patterns of healthy older adults: results from the baltimore longitudinal study of aging. J Biomech 44:1974–1979. doi:10.1016/j.jbiomech.2011.05.005
Patterson KK, Nadkarni NK, Black SE et al (2012) Gait symmetry and velocity differ in their relationship to age. Gait Posture 35:590–594. doi:10.1016/j.gaitpost.2011.11.030
Dadashi F, Mariani B, Rochat S et al (2014) Gait and foot clearance parameters obtained using shoe-worn inertial sensors in a large-population sample of older adults. Sens Basel Sens 14:443–457. doi:10.3390/s140100443
Laufer Y (2005) Effect of age on characteristics of forward and backward gait at preferred and accelerated walking speed. J Gerontol Ser A Biol Sci Med Sci 60:627–632. doi:10.1093/gerona/60.5.627
van Iersel MB, Ribbers H, Munneke M et al (2007) The effect of cognitive dual tasks on balance during walking in physically fit elderly people. Arch Phys Med Rehabil 88:187–191. doi:10.1016/j.apmr.2006.10.031
Hausdorff JM, Schweiger A, Herman T et al (2008) Dual-task decrements in gait: contributing factors among healthy older adults. J Gerontol Ser A Biol Sci Med Sci 63:1335–1343
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