Literature DB >> 28278486

Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls.

Kejia Wang, Kim Delbaere, Matthew A D Brodie, Nigel H Lovell, Lauren Kark, Stephen R Lord, Stephen J Redmond.   

Abstract

We used body-worn inertial sensors to quantify differences in semi-free-living gait between stairs and on normal flat ground in older adults, and investigated the utility of assessing gait on these terrains for predicting the occurrence of multiple falls. Eighty-two community-dwelling older adults wore two inertial sensors, on the lower back and the right ankle, during several bouts of walking on flat surfaces and up and down stairs, in between rests and activities of daily living. Derived from the vertical acceleration at the lower back, step rate was calculated from the signal's fundamental frequency. Step rate variability was the width of this fundamental frequency peak from the signal's power spectral density. Movement vigor was calculated at both body locations from the signal variance. Partial Spearman correlations between gait parameters and physiological fall risk factors (components from the Physiological Profile Assessment) were calculated while controlling for age and gender. Overall, anteroposterior vigor at the lower back in stair descent was lower in subjects with longer reaction times. Older adults walked more slowly on stairs, but they were not significantly slower on flat surfaces. Using logistic regression, faster step rate in stair descent was associated with multiple prospective falls over 12 months. No significant associations were shown from gait parameters derived during walking upstairs or on flat surfaces. These results suggest that stair descent gait may provide more insight into fall risk than regular walking and stair ascent, and that further sensor-based investigation into unsupervised gait on different terrains would be valuable.

Entities:  

Mesh:

Year:  2017        PMID: 28278486     DOI: 10.1109/JBHI.2017.2677901

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  13 in total

Review 1.  Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Authors:  Mikaela L Frechette; Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Ryan S McGinnis; Jacob J Sosnoff
Journal:  Curr Neurol Neurosci Rep       Date:  2019-09-04       Impact factor: 5.081

2.  The Effect of Electroacupuncture on Dynamic Balance during Stair Climbing for Elderly Patients with Knee Osteoarthritis.

Authors:  Meijin Hou; Xiangbin Wang; Jiao Yu; Shengxing Fu; Fengjiao Yang; Zhenhui Li; Yanxin Zhang; Jing Tao
Journal:  Evid Based Complement Alternat Med       Date:  2020-08-13       Impact factor: 2.629

3.  The Step Test Evaluation of Performance on Stairs (STEPS): Validation and reliability in a neurological disorder.

Authors:  Anne D Kloos; Deb A Kegelmeyer; Katherine Ambrogi; David Kline; Meredith McCormack-Mager; Brittany Schroeder; Sandra K Kostyk
Journal:  PLoS One       Date:  2019-03-21       Impact factor: 3.240

4.  The upper limb Physiological Profile Assessment: Description, reliability, normative values and criterion validity.

Authors:  Lewis A Ingram; Annie A Butler; Lee D Walsh; Matthew A Brodie; Stephen R Lord; Simon C Gandevia
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

Review 5.  A Scoping Review of Epidemiological, Ergonomic, and Longitudinal Cohort Studies Examining the Links between Stair and Bathroom Falls and the Built Environment.

Authors:  Nancy Edwards; Joshun Dulai; Alvi Rahman
Journal:  Int J Environ Res Public Health       Date:  2019-05-07       Impact factor: 3.390

6.  Internet of Things (IoT)-Enabled Elderly Fall Verification, Exploiting Temporal Inference Models in Smart Homes.

Authors:  Grigorios Kyriakopoulos; Stamatios Ntanos; Theodoros Anagnostopoulos; Nikolaos Tsotsolas; Ioannis Salmon; Klimis Ntalianis
Journal:  Int J Environ Res Public Health       Date:  2020-01-08       Impact factor: 3.390

Review 7.  Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.

Authors:  Jelena Bezold; Janina Krell-Roesch; Tobias Eckert; Darko Jekauc; Alexander Woll
Journal:  Eur Rev Aging Phys Act       Date:  2021-07-09       Impact factor: 3.878

8.  Nonlinear Predictive Threshold Model for Real-Time Abnormal Gait Detection.

Authors:  Masoud Hemmatpour; Renato Ferrero; Filippo Gandino; Bartolomeo Montrucchio; Maurizio Rebaudengo
Journal:  J Healthc Eng       Date:  2018-06-26       Impact factor: 2.682

9.  A Multi-Sensor Matched Filter Approach to Robust Segmentation of Assisted Gait.

Authors:  Satinder Gill; Nitin Seth; Erik Scheme
Journal:  Sensors (Basel)       Date:  2018-09-06       Impact factor: 3.576

10.  A Multi-Sensor Cane Can Detect Changes in Gait Caused by Simulated Gait Abnormalities and Walking Terrains.

Authors:  Satinder Gill; Nitin Seth; Erik Scheme
Journal:  Sensors (Basel)       Date:  2020-01-23       Impact factor: 3.576

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