Effects of Insole Vibration With Proprioceptive Training in Patients With Diabetic Peripheral Neuropathy

Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes, profoundly affecting quality of life with sensory disturbances and associated complications. Proprioceptive training shows promise in improving proprioception and functional outcomes in patients with peripheral neuropathy. Also the literature has shown that Insole vibrator demonstrates potential in mitigating symptoms and improving sensory function and balance in patients with peripheral neuropathy. This study aims to determine the effects of insole vibration with proprioceptive training on balance and functional ability in patient with diabetic peripheral neuropathy. In this randomized controlled trial design, 60 participants will be recruited. The sample size was calculated through G-power total of 60 participants. Who meet the inclusion criteria will be recruited through non-probability convenience sampling technique, which will further be randomized through online randomizer tool into control and experimental group with thirty participants in each group. Experimental group will receive proprioceptive training alongside vibrating insole and control group will receive proprioceptive training with non vibrating insoles. Data will be collected by using various assessment tools, including Numeric Pain Rating Scale for pain,Time Up And Go Test for functional mobility, Neuropathic Disability Score for level of disability ,Functional Reach Test for standing stability, Mini BESTS for balance, functional mobility and gait, Single Leg Stance Test for static posture and balance control and the Montreal Cognitive Assessment for cognitive impairment. Pre-intervention assessments will be conducted for both groups. The effects of the interventions will be measured at pre-treatment, 6th week, 12th week and at 16th week. Data analysis will be performed by using SPSS 26. Mixed ANOVA and repeated-measures ANOVA will use for within-group analysis whereas between-group analysis will perform by using one-wa