Abstract

Poor balance control and increased fall risk have been reported in people with diabetic peripheral neuropathy (DPN). Traditional body sway measures are unable to describe underlying postural control mechanism. In the current study, we used stabilogram diffusion analysis to examine the mechanism under which balance is altered in DPN patients under local-control (postural muscle control) and central-control (postural control using sensory cueing). DPN patients and healthy age-matched adults over 55 years performed two 15-second Romberg balance trials. Center of gravity sway was measured using a motion tracker system based on wearable inertial sensors, and used to derive body sway and local/central control balance parameters. Eighteen DPN patients (age = 65.4±7.6 years; BMI = 29.3±5.3 kg/m2) and 18 age-matched healthy controls (age = 69.8±2.9; BMI = 27.0±4.1 kg/m2) with no major mobility disorder were recruited. The rate of sway within local-control was significantly higher in the DPN group by 49% (healthy local-controlslope = 1.23±1.06×10-2 cm2/sec, P<0.01), which suggests a compromised local-control balance behavior in DPN patients. Unlike local-control, the rate of sway within central-control was 60% smaller in the DPN group (healthy central-controlslope-Log = 0.39±0.23, P<0.02), which suggests an adaptation mechanism to reduce the overall body sway in DPN patients. Interestingly, significant negative correlations were observed between central-control rate of sway with neuropathy severity (r Pearson = 0.65-085, P<0.05) and the history of diabetes (r Pearson = 0.58-071, P<0.05). Results suggest that in the lack of sensory feedback cueing, DPN participants were highly unstable compared to controls. However, as soon as they perceived the magnitude of sway using sensory feedback, they chose a high rigid postural control strategy, probably due to high concerns for fall, which may increase the energy cost during extended period of standing; the adaptation mechanism using sensory feedback depends on the level of neuropathy and the history of diabetes.

Highlights

  • It is estimated that some 382 million people had diabetes in 2013, and this number will increase 55% to 592 million people by 2035 [1]

  • To better understand the underlying mechanism that causes impaired balance in diabetic peripheral neuropathy (DPN) individuals, we investigated the balance control mechanism based on its dependency on sensory feedback

  • As expected a higher fear of falling and a larger number of fallers were determined among DPN participants compared to healthy controls (P < 0.05)

Read more

Summary

Introduction

It is estimated that some 382 million people had diabetes in 2013, and this number will increase 55% to 592 million people by 2035 [1]. The local-control stage is known as a controlling mechanism that works without recruiting sensory feedback from visual, vestibular and/or somatosensory systems [8,10]. This mechanism is assumed to operate by setting an activity level required for postural muscles to control the short-term body fluctuations [8]. To investigate the quality of balance control, separately, within the local- and central-control stages, the stabilogram diffusion analysis has been introduced In this approach, the trajectory of body center of mass on the ground surface (center of gravity; COG) is estimated and used to derive the temporal displacement between adjacent COG data points to generate the stabilogram diffusion plot [8,12], and to define the local-control (short time-interval COG displacements) and the central-control (long time-interval COG displacements) stages [8]

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.