The aim of this study is to investigate the effects of virtual reality exercises on lower extremity skin temperature, arterial stiffness, gait parameters and enjoyment of exercise in individuals with peripheral arterial disease.
Being diagnosed with PAD
Being between 18-65 years of age
Ankle-brachial index less than 0.9
Not having a lower extremity injury or surgery that would prevent participation in the exercise program
History of cardiovascular events less than 3 months before the start of the study
Uncontrolled severe hypertension (systolic blood pressure ≥ 180 mmHg or diastolic blood pressure ≥ 110 mmHg)
Uncontrolled diabetes mellitus (glycemic index ≥ 290)
Critical Limb Ischemia
Parallel
Exercise
Other interventionExercise program with virtual reality applications for lower extremities
Lower Extremity Skin Temperature,
In our study, a thermal camera (FLIR E53, FLIR Systems, Wilsonville, Oregon, USA) with a temperature sensitivity of 0.04°C will be used to record lower extremity skin temperature with real-time imaging.Controls related to thermographic scaling will be performed according to Thermographic Imaging in Sports and Exercise Medicine (TISEM)" criteria.
Arterial Stiffness Measurement
Arterial stiffness represents the viscoelastic properties of the vessel wall, indicates vascular damage and is a measure of the degree of atherosclerosis. Increased arterial stiffness or decreased compliance is indicative of extensive atherosclerotic involvement of the vasculature. One of the non-invasive techniques used to assess arterial stiffness is pulse wave analysis (PWA). PWA examines pressure waveforms within the main arteries. Pulse wave velocity (PWV) and enhancement index (Alx) are indices of arterial stiffness.PWV is the velocity of the pulse propagating along the arterial segment. Alx is the ratio of the difference between the late systolic pressure reflected from the periphery and the early systolic pressure to the pulse pressure, expressed as a percentage. The SphygmoCor XCEL device will be used to assess arterial stiffness.
Wearable Motion Analysis System
The dynamic gait parameter will be assessed with the BTS G-Walk Device, a wearable movement analysis system. The BTS G-Walk sensor system is a wireless magnetic sensor device that can be used to determine spatio-temporal parameters as well as pelvic movements during walking. The system consists of many parameters that analyze movements such as walking, running and jumping. In gait analysis, this system compares bilateral right and left limbs with normal values, and provides kinematic analysis of the pelvis in 3 planes.
Six-Minute Walk Test
The test will be performed along a 30 meter long by 1.5 meter wide corridor according to standard procedures developed by the American Thoracic Society. Participants will be instructed to walk along the 30-meter corridor from the starting point to the end at the best speed they can within 6 minutes, using standard encouragement phrases at the beginning of each minute. Modified Borg Scale will be used for dyspnea and leg fatigue perception. At the end of the test, the total distance covered will be recorded in meters (m). The calculation of percentage values will be based on the reference values formulated by Enright et al. in healthy population.
Walking Impairment Questionnaire (WIQ)
To assess intermittent claudication, the Turkish adaptation of the 21-item self-report scale Decreased Walking Distance Scale developed by Dr. Regensteiner et al. (1995) will be used. The scale consists of claudication, differential diagnosis, distance, speed and stair parameters. The sub-parameters (distance, speed and stairs) are rated on a Likert scale ranging from 0 (unable, very difficult) to 4 (no difficulty at all) and each item has a weighted score. The claudication and differential diagnosis section is assessed individually, while the subscales are assessed on a scale of 0 to 100 points, calculated according to the weight of each question. The subscale score is obtained by dividing the Likert scale score by the maximum weighted score and multiplying by 100. Each subscale score is evaluated between 0-100. A high score indicates high performance. Total and combined scores are calculated by averaging the subscales.
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