Is Balance Training Using Biofeedback Effective in the Prophylaxis of Falls in Women over the Age of 65?

Author:

Sadura-Sieklucka Teresa1ORCID,Czerwosz Leszek Tomasz2,Kądalska Ewa1,Kożuchowski Marcin1,Księżopolska-Orłowska Krystyna1,Targowski Tomasz1

Affiliation:

1. National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland

2. Department of Respiration Physiology, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland

Abstract

The paper aims to investigate the usefulness of training in improving mobility and reducing the risk of falls of patients with osteoarthritis by using a force plate and virtual reality as rehabilitation tools. The study involved 72 women randomly divided into two equal groups: the force plate training group, which underwent virtual balance training with visual motor feedback, and the gym training group, which received conventional balance training only. The functional balance assessment was performed before and after the rehabilitation by computerized posturography in a relaxed upright position with open and closed eyes, with visual motor feedback. In the FPT group in the feedback measurement, the mean radius of sways was 30% smaller after rehabilitation (p < 0.00002); the feedback coordination coefficient was more than 10% bigger after rehabilitation (p < 0.001) and reached 92%, which is excellent for elderly people. Total stagnation and stumbling reported by patients decreased after rehabilitation compared to the first examination. Both tested forms of training can contribute to reducing the risk of falls. However, a more significant improvement was obtained in the force plate training group perhaps because the physical effort on a force plate trains the precise movements needed to reposition the centre of gravity without generating excessive inertia forces responsible for loss of balance and falls. Perhaps the most desirable method of intervention is to train a person’s ability to perform slow but definite body movements.

Publisher

MDPI AG

Subject

General Neuroscience

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