Walking Function in Diabetic Peripheral Neuropathy
- Conditions
- Diabetic Peripheral Neuropathy
- Registration Number
- NCT05965336
- Brief 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.
- Detailed 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 display reduced functional ambulation, step counts, and walking speed. Though increases in physical activity and functional capacity have been associated with improvements in quality of life, DPN poses a unique challenge in mitigating risk while pursuing traditional exercise and walking programs.
Traditional gait training programs used to improve walking function may increase ulceration risk, making these interventions unsuitable if not tailored for people with DPN. The goal of this study is to elucidate the underlying biomechanical mechanisms contributing to the inter-relationships between plantar pressure and propulsion in individuals with DPN, and to examine the safety and feasibility of using real-time biofeedback to modify plantar pressure and propulsion during gait.
The aims of this study are to evaluate (1) biomechanical mechanisms contributing to abnormal plantar pressure and propulsion during gait in individuals with DPN; (2) biofeedback-induced changes in plantar pressure, propulsion, and biomechanics during gait in individuals with DPN and age-similar controls; and (3) the acceptability, feasibility, safety, and preliminary effects of gait training in individuals with DPN. Insights into the biomechanical mechanisms underlying plantar pressure and propulsion in people with DPN will allow for the design of more informed and effective gait rehabilitation interventions aimed at preventing deleterious outcomes such as ulceration and amputation that can be tailored to individual patient characteristics.
Able-bodied participants will complete three experimental sessions and participants with DPN will complete a total of seven experimental sessions. Each session will be approximately 2-3 hours in duration.
Recruitment & Eligibility
- Status
- SUSPENDED
- Sex
- All
- Target Recruitment
- 50
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- CROSSOVER
- Primary Outcome Measures
Name Time Method Biomechanical plantar pressure Study Session 2 (occurs 24 hours up to 2 weeks after Day 1) Plantar pressure is calculated in kilopascals (kPa) using a force sensor placed between the participant's foot and insole of their shoe. The peak plantar pressure in regions of interest (forefoot) will be calculated.
Biomechanical modulation of ankle stiffness Study Session 2 (occurs 24 hours up to 2 weeks after Day 1) Participants will walk for 3 minutes on a treadmill at their self-selected speed to enable stabilization of movement patterns, warmup, and preconditioning of lower extremity muscles prior to dynamometer tasks. Participants will then 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. Electromyography (EMG) activity will be recorded from lower limb muscles 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 at a fixed activation.
Biomechanical Propulsion Study Session 2 (occurs 24 hours up to 2 weeks after Day 1) Propulsion is calculated as the maximum anteriorly directed ground reaction force during the stance phase of gait using the instrumented (force plate) treadmill.
- Secondary Outcome Measures
Name Time Method Changes induced by biofeedback in biomechanics during gait Study sessions 4 (48 hours - 3 weeks after session 3), 5 (24-48 hours after session 4) , 6 (3 weeks after session 5) and 7 (24-48 hours after session 6) Lower extremity kinetics and kinematics will be measured using a three-dimensional motion analysis system and split-belt instrumented treadmill. Kinetics and kinematics of the ankle, knee, and hip will be analyzed during gait.
Changes induced by biofeedback in propulsion Study sessions 4 (48 hours - 3 weeks after session 3), 5 (24-48 hours after session 4) , 6 (3 weeks after session 5) and 7 (24-48 hours after session 6) Ground reaction force (GRF) data will be collected independently from each leg using a split-belt treadmill instrumented with two 6-degree of freedom force platforms. The antero-posterior GRFs (AGRF) will be used to compute propulsion.
Regression analysis will be used to examine propulsion during gait by study group.Changes induced by biofeedback in plantar pressure Study sessions 4 (48 hours - 3 weeks after session 3), 5 (24-48 hours after session 4) , 6 (3 weeks after session 5) and 7 (24-48 hours after session 6) Plantar pressure measurements will be recorded using insoles placed between the surface of the foot and the insole of the participant's shoe. Marker data, GRFs, and plantar pressure data will be synchronized.
Regression analysis will be used to examine plantar pressure during gait by study group.
Trial Locations
- Locations (1)
Florida Institute for Human and Machine Cognition
🇺🇸Pensacola, Florida, United States
Florida Institute for Human and Machine Cognition🇺🇸Pensacola, Florida, United States