Walking Function in Individuals With Diabetic Peripheral Neuropathy: Biomechanical Mechanisms and Implications for Clinical Outcomes and Gait Retraining
Florida Institute for Human and Machine Cognition
Summary
The purpose of this study is to 1) examine the differences in walking function and movement patterns between individuals with diabetic peripheral neuropathy and healthy adults with no known conditions; 2) examine if receiving feedback on walking form will help change walking patterns; and 3) examine the feasibility, safety, and preliminary effects of walking training with feedback on walking function in individuals with diabetic peripheral neuropathy.
Description
Over 34 million adults in the United States are living with Diabetes Mellitus (DM). Diabetic peripheral neuropathy (DPN) is the most common complication, affecting 50% of individuals with DM. Consequences of DPN include reduced sensation and feedback from the foot and lower limb and increased plantar pressures, predisposing patients to ulcers and lower extremity amputation. Individuals with DPN experience decreased quality of life compared with their healthy and non-neuropathic DM peers, and report problems with mobility, daily activities, pain, and discomfort. Additionally, people with DPN di…
Eligibility
- Age range
- 45+ years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria for All Participants: 1. Age 45+ years 2. Able to walk 10-meters independently without an assistive device 3. Sufficient cardiovascular and musculoskeletal health to walk on a treadmill for 1-minute at self-selected speed Inclusion Criteria for Participants with DPN: 1. Diagnosis of DM 2. Diagnosis of DPN by a physician 3. Foot examination within the past 6 months to document ambulatory status 4. Physician's clearance Exclusion Criteria for Healthy Able-Bodied Individuals: 1. History of neurologic disease 2. History of orthopaedic disease affecting the lower extremities…
Interventions
- OtherClinical Evaluation
A clinical evaluation occurs at the first study session. The clinical evaluation assesses walking function and mobility, lower extremity, sensation, health-related quality of life (HRQoL) and foot function. Session 2 will be a dynamometer-based evaluation of passive ankle stiffness and 3-dimensional gait analysis to evaluate baseline biomechanics. During Session 3, real-time biofeedback conditions will be used to measure the immediate effects on walking function.
- OtherEvaluation of Passive Ankle Stiffness
Participants will be seated in a dynamometer with their trunk and thigh stabilized to the dynamometer chair, ankle joint aligned with the rotational axis of the dynamometer, and foot stabilized to the foot plate. EMG activity will be recorded from lower limb muscles (gastrocnemius, soleus, tibialis anterior) during all isolated contractions. Participants will first perform three maximum voluntary isometric contractions (MVIC) while seated in a dynamometer. Participants will then perform three isokinetic dorsiflexion tasks while using electromyographic biofeedback at a prescribed level of 50% MVIC soleus activation. The slope of the linear best fit line from the ankle moment vs. angle plot will yield total ankle joint stiffness (i.e., active + passive) at a fixed activation. In three additional trials, the dynamometer will move the ankle joint through the same motion without active subject resistance and the same analytical procedures will derive passive ankle joint stiffness.
- OtherGait Biomechanics
Three-dimensional gait analysis is performed as participants walk at a self-selected speed on an instrumented treadmill. Reflective markers are attached to lower extremity segments. Elastic bands are wrapped around the thighs, calves, and pelvis to which small, thermoplastic shells containing reflective markers are attached. Additional markers are taped to the participant's shoes and on the upper back, shoulder, hip, knee, and ankle joints with adhesive skin tape. Marker data is collected using a 7-camera motion analysis system (Vicon Inc., USA). Vicon motion analysis cameras will collect the location of the retroreflective markers in Vicon Nexus software.
Location
- Florida Institute for Human and Machine CognitionPensacola, Florida