Abstract

The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic medical information system Computer Kinesiology in physiotherapy in patients with low back pain who were not responding to conventional therapy. Computer Kinesiology is primarily intended for the diagnostics and therapy of functional disorders of the locomotor system. This pilot study population included 55 patients (Group 1) with acute and chronic back pain and 51 persons (Group 2) without back pain. The third group was a control group of 67 healthy volunteers with no evidence of musculoskeletal pathologies and no back pain. All 173 subjects were examined three times by the diagnostic part of the Computer Kinesiology method. Groups 1 and 2 were treated after every diagnostics. Group 3 was not treated. The effect was evaluated by H score. Improvements after therapy were defined by reducing the H score by at least 1 point. In Group 1, the H score decreased by at least 1 point in 87.3% (95% CI: 75.5-94.7) and in Group 2 in 78.4% (95% CI: 64.7-88.7). There was no change of distribution of H Score grade in Group 3. The improvement neither depended on gender, age, and BMI nor was it influenced by the length of the therapy. This study demonstrated a high therapeutic efficacy of the Computer Kinesiology system in patients with back pain (Group 1) and in persons without back pain (Group 2) who used the Computer Kinesiology system for primary and secondary prevention of back pain.

Highlights

  • The issue of back pain is currently a worldwide epidemic

  • Prevalence and incidence of the difficulties are as follows: 50-80% of adults have their own experience with back pain during their life, and 40% of the population suffer from back pain once a year

  • The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic Medical Expert Information System Computer Kinesiology in physiotherapy in patients with low back pain who were not responding to conventional therapy

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Summary

Introduction

The issue of back pain is currently a worldwide epidemic. In the United States of America, up to 100 million adults suffer from chronic back pain and their care including work incapacity and disability costs 635 billion US dollars per year [1]. Back pain can be divided into an acute, subacute, and chronic. Epidemiological data show that back pain has usually a recurrent, intermittent, episodic character [2]. Prevalence and incidence of the difficulties are as follows: 50-80% of adults have their own experience with back pain during their life, and 40% of the population suffer from back pain once a year. Back pain is one of the most frequent reasons for work incapacity. Back pain appears in 12% of adolescents at the age of 11. At the age of 15, the number increases up to 50% [2]

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