» Articles » PMID: 26053187

Gait Efficiency on an Uneven Surface Is Associated with Falls and Injury in Older Subjects with a Spectrum of Lower Limb Neuromuscular Function: A Prospective Study

Overview
Date 2015 Jun 9
PMID 26053187
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: The objective of this study was to determine which gait measures on smooth and uneven surfaces predict falls and fall-related injuries in older subjects with diabetic peripheral neuropathy.

Design: Twenty-seven subjects (12 women) with a spectrum of peripheral nerve function ranging from normal to moderately severe diabetic peripheral neuropathy walked on smooth and uneven surfaces, with gait parameters determined by optoelectronic kinematic techniques. Falls and injuries were then determined prospectively over the following year.

Results: Seventeen subjects (62.9%) fell and 12 (44.4%) sustained a fall-related injury. As compared with nonfallers, the subject group reporting any fall, as well as the subject group reporting fall-related injury, demonstrated decreased speed, greater step width (SW), shorter step length (SL), and greater SW-to-SL ratio (SW:SL) on both surfaces. Uneven surface SW:SL was the strongest predictor of falls (pseudo-r = 0.65; P = 0.012) and remained so with inclusion of other relevant variables into the model. Post hoc analysis comparing injured with noninjured fallers showed no difference in any gait parameter.

Conclusion: SW:SL on an uneven surface is the strongest predictor of falls and injuries in older subjects with a spectrum of peripheral neurologic function. Given the relationship between SW:SL and efficiency, older neuropathic patients at increased fall risk appear to sacrifice efficiency for stability on uneven surfaces.

Citing Articles

Stroke patient rehabilitation: an analysis of the effects of perturbation training combined with hip unloading gait strategies.

Fan S, Ma Y, Pan Y Front Neurol. 2025; 16:1495071.

PMID: 40061162 PMC: 11885498. DOI: 10.3389/fneur.2025.1495071.


On the clinical interpretation of overground gait stability indices in children with cerebral palsy.

Sangeux M, Viehweger E, Romkes J, Bracht-Schweizer K Sci Rep. 2024; 14(1):26363.

PMID: 39487202 PMC: 11530431. DOI: 10.1038/s41598-024-76598-1.


Using Video Technology and AI within Parkinson's Disease Free-Living Fall Risk Assessment.

Moore J, Celik Y, Stuart S, McMeekin P, Walker R, Hetherington V Sensors (Basel). 2024; 24(15).

PMID: 39123961 PMC: 11314665. DOI: 10.3390/s24154914.


Effects of Motor Rehabilitation on Balance and Functional Activities in Elderly Patients with Peripheral Neuropathy and Recurrent Falls.

Gialanella B, Comini L, Prometti P, Vanoglio F, Santoro R Life (Basel). 2023; 13(4).

PMID: 37109588 PMC: 10144929. DOI: 10.3390/life13041059.


Machine Learning Approach for Automated Detection of Irregular Walking Surfaces for Walkability Assessment with Wearable Sensor.

Ng H, Sossa I, Nam Y, Youn J Sensors (Basel). 2023; 23(1).

PMID: 36616790 PMC: 9824059. DOI: 10.3390/s23010193.


References
1.
Tinetti M, Speechley M, Ginter S . Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988; 319(26):1701-7. DOI: 10.1056/NEJM198812293192604. View

2.
Thies S, Ashton-Miller J, Richardson J . What causes a crossover step when walking on uneven ground? A study in healthy young women. Gait Posture. 2006; 26(1):156-60. DOI: 10.1016/j.gaitpost.2006.08.011. View

3.
Hausdorff J, Rios D, Edelberg H . Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Phys Med Rehabil. 2001; 82(8):1050-6. DOI: 10.1053/apmr.2001.24893. View

4.
Richardson J . The clinical identification of peripheral neuropathy among older persons. Arch Phys Med Rehabil. 2002; 83(11):1553-8. DOI: 10.1053/apmr.2002.35656. View

5.
Allet L, Kim H, Ashton-Miller J, De Mott T, Richardson J . Frontal plane hip and ankle sensorimotor function, not age, predicts unipedal stance time. Muscle Nerve. 2012; 45(4):578-85. PMC: 3313445. DOI: 10.1002/mus.22325. View