老年人步态稳定性、步态评价与跌倒风险的研究进展

doi:10.3969/j.issn.1006-9771.2019.07.010

Abstract

Abstract: It is important to predict fall risk for the old adults. Gait and imbalance are generally considered as the greatest risk for falls. Largest Lypunov Exponent (LyE) reflects the gait stability, and it needs to improve in standardization and acceptable algorithms for clinical use. Gait indices are correlated with each other, with their own advantages and limitations. Gait Deviation Index is representative and reliable, and easy to calculate. Gait variability can predict the possibility of falls in the old adults. The combination of all the indices may improve the accuracy of falls risk prediction for the old adults.

Key words: fall, aged, gait, review

CLC Number:

R493

ZHANG Zi-hua, JI Zhong-qiu, PANG Bo, LI Jia-hui, ZHAO Pan-chao. Advance in Gait Stability, Gait Assessment and Fall Risk in Old Adults (review)[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2019, 25(7): 793-796.

References

1 LamontR M, MorrisM E, MenzH B, et al. Falls in people with Parkinson’s disease: a prospective comparison of community and home-based falls [J]. Gait Posture, 2017, 55(5): 62-67.
2 Wong-YuI S, MakM K. Task- and context-specific balance training program enhances dynamic balance and functional performance in Parkinsonian nonfallers: a randomized controlled trial with six-month follow-up [J]. Arch Phys Med Rehabil, 2015, 96(12): 2103-2111.
3 DahodwalaN, NwadiogbuC, FittsW, et al. Parkinsonian signs are a risk factor for falls [J]. Gait Posture, 2017, 55(1): 1-7.
4 Montero-OdassoM, Muir-HunterS W, Oteng-AmoakoA, et al. Donepezil improves gait performance in older adults with mild Alzheimer’s disease: a phase II clinical trial [J]. J Alzheimers Dis, 2015, 43(3): 193-199.
5 屈莎. 预测中老年人跌倒敏感指标和风险评价等级的研究[D]. 北京:北京体育大学, 2015.
6 韩佳琳. 老年人群跌倒现况、风险评估及康复干预的研究[D]. 青岛:青岛大学, 2017.
7 SparrowD, DeAngelisT R, HendronK, et al. Highly challenging balance program reduces fall rate in Parkinson disease [J]. J Neurol Phys Ther, 2016, 40(1): 24-30.
8 OsobaM Y, RaoA K, AgrawalS K, et al. Balance and gait in the elderly: a contemporary review [J]. Laryngoscope Investig Otolaryngol, 2019, 4(1): 143-153.
9 CampbellG, WolfeR A, KlemM L. Risk factors for falls in adult cancer survivors: an integrative review [J]. Rehabil Nurs, 2018, 43(4): 201-213.
10 GrimmerM, RienerR, WalshC J, et al. Mobility related physical and functional losses due to aging and disease－a motivation for lowerlimb exoskeletons [J]. J Neuroeng Rehabil, 2019, 16(1): 2.
11 KoS U, JeromeG J, SimonsickE M, et al. Differential associations between dual-task walking abilities and usual gait patterns in healthy older adults－results from the Baltimore Longitudinal Study of Aging [J]. Gait Posture, 2018, 63(6): 63-67.
12 AljehaniM, MadaraK, Snyder-MacklerL, et al. The contralateral knee may not be a valid control for biomechanical outcomes after unilateral total knee arthroplasty [J]. Gait Posture, 2019, 70(3): 179-184.
13 ParkS H. Tools for assessing fall risk in the elderly: a systematic review and meta-analysis [J]. Aging Clin Exp Res, 2018, 30(1): 1-16.
14 NakamuraT, MeguroK, SasakiH. Relationship between type [J]. Gerontology, 1996, 42(2): 108-113.
15 HouW H, KangC M, HoM H, et al. Evaluation of an inpatient fall risk screening tool to identify the most critical fall risk factors in inpatients [J]. J Clin Nurs, 2017, 26(5): 698-706.
16 VergheseJ, AmbroseA F, LiptonR B, et al. Neurological gait abnormalities and risk of falls in older adults [J]. J Neurol, 2010, 257(3): 392-398.
17 HoltzerR, VergheseJ, AllaliG. Neurological gait abnormalities moderate the functional brain signature of the posture first hypothesis [J]. Brain Topogr, 2016, 29(2): 334-343.
18 MehdizadehS. The largest Lyapunov exponent of gait in young and elderly individuals: a systematic review [J]. Gait Posture, 2018, 60(2): 241-250.
19 ElbazA, MorA, SegalG, et al. Lower extremity kinematic profile of gait of patients after ankle fracture: a case control study [J]. J Foot Ankle Surg, 2016, 55(5): 918-921.
20 KimM, LeeD. Development of an IMU based foot-ground contact detection (FGCD) algorithm [J]. Ergonomics, 2017, 60(3): 1-23.
21 MehdizadehS, SanjariM A. Effect of noise and filtering on largest Lyapunov exponent of time series associated with human walking [J]. J Biomech, 2017, 64(11): 236-239.
22 HamacherD, SinghN B, Van Die?nJ H, et al. Kinematic measures for assessing gait stability in elderly individuals: a systematic review [J]. J R Soc Interface, 2011, 65(8): 1682-1698.
23 BruijnS M, BregmanD J, MeijerO G, et al. Maximum Lyapunov exponents as predictors of global gait stability: a modelling approach [J]. Med Eng Phys, 2012, 34(4): 428-436.
24 RispensS M, PijnappelsM, van Die?nJ H, et al. A benchmark test of accuracy and precision in estimating dynamical systems characteristics from a time series [J]. J Biomech, 2014, 47(2): 470-475.
25 BeaudetteS M, HowarthS J, GrahamR B. On the use of a Euclidean norm function for the estimation of local dynamic stability from 3D kinematics using time-delayed Lyapunov analyses [J]. Med Eng Phys, 2016, 38(10): 1139-1145.
26 ToebesM J, HoozemansM J, FurrerR, et al. Local dynamic stability and variability of gait are associated with fall history in elderly subjects [J]. Gait Posture, 2012, 36(3): 527-531.
27 CignettiF, DeckerL M, StergiouN. Sensitivity of the Wolf’s and Rosenstein’s algorithms to evaluate local dynamic stability from small gait data sets [J]. Ann Biomed Eng, 2012, 40(5): 1122-1130.
28 SimsD T, BurdenA, PaytonC, et al. A quantitative description of self-selected walking in adults with achondroplasia using the gait profile score [J]. Gait Posture, 2019, 68(2): 150-154.
29 FukuchiC A, DuarteM. Gait profile score in able-bodied and post-stroke individuals adjusted for the effect of gait speed [J]. Gait Posture, 2019, 69(3): 40-45.
30 CorreaK P, DevetakG F, MartelloS K, et al. Reliability and minimum detectable change of the Gait Deviation Index (GDI) in post-stroke patients [J]. Gait Posture, 2017, 53(3): 29-34.
31 MatsunagaN, ItoT, NoritakeK, et al. Correlation between the Gait Deviation Index and skeletal muscle mass in children with spastic cerebral palsy [J]. J Phys Ther Sci, 2018, 30(9): 1176-1179
32 CimolinV, CondoluciC, CosticiP F, et al. A proposal for a kinetic summary measure: the Gait Kinetic Index [J]. Comput Methods Biomech Biomed Engin, 2018, 16(11): 1-6.
33 BarakY, WagenaarR C, HoltK G. Gait characteristics of elderly people with a history of falls: a dynamic approach [J]. Phys Ther, 2006, 86(11): 1501-1510.
34 SrygleyJ M, HermanT, GiladiN, et al. Self-report of missteps in older adults: a valid proxy of fall risk? [J]. Arch Phys Med Rehabil, 2009, 90(5): 786-792.
35 MansfiendA, MochizukiG, InnessE L, et al. Clinical correlates of between-limb synchronization of standing balance control and falls during inpatient stroke rehabilitation [J]. Neurorehabil Neural Repair, 2012, 26(6): 627-635.
36 Di RosaM, HausdorffJ M, StaraV, et al. Concurrent validation of an index to estimate fall risk in community dwelling seniors through a wireless sensor insole system: a pilot study [J]. Gait Posture, 2017, 55(5): 6-11.
37 DanielsenA, OlofsenH, BremdalB A. Increasing fall risk awareness using wearables: a fall risk awareness protocol [J]. J Biomed Inform, 2016, 63(5): 184-194.
38 WashabaughE P, KalyanaramanT, AdamczykP G, et al. Validity and repeatability of inertial measurement units for measuring gait parameters [J]. Gait Posture, 2017, 55(5): 87-93.

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Advance in Gait Stability, Gait Assessment and Fall Risk in Old Adults (review)

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