1. What data in particular will be shared?
   Response - Individual participant data that underlie the results reported in this article, after de-identification (text, tables, figures, and appendices).
   


2. What additional supporting information will be shared?
   Response -  Study Protocol
   Response -  Statistical Analysis Plan
   Response - Clinical Study Report
   Response -  Analytic Code
   
   
3. Who will be able to view these files?
   Response - Anyone
   


4. For what types of analyses will this data be available?
   Response - To achieve aims in the approved proposal.
   


5. By what mechanism will data be made available?
   Response - Data are available indefinitely at (Link to be included Yes).
   


6. For how long will this data be available start date provided 15-12-2020 and end date provided 01-04-2021?
   Response - Immediately following publication. No end date.
   


7. Any URL or additional information regarding plan/policy for sharing IPD? 
   Additional Information - NIL

Diabetes is a common metabolic disease having serious implication and its incidence is increasing day by day. According to study done in 2013 on global estimation of diabetes, 60% of total population of Asia has diabetes. The complications of diabetes increases with the age. One of the many complications of diabetes mellitus is diabetic neuropathy. The prevalence of diabetic neuropathy varies from 10% within 1 year of diagnosis of diabetes to 50% in patients with diabetes for more than 25 years. 

The mechanism underlying diabetic neuropathy are multiple and involves several interrelated metabolic abnormalities subsequent to hyper-glycaemia and insulin and C-peptide deficiencies. And causes of peripheral neuropathy is nerve damage instigated by glucose toxicity.  Diabetic neuropathy encompasses a group of clinical and subclinical syndromes each characterized by diffused or focal damage to peripheral somatic or autonomic nerve fibres. The clinical syndromes of diabetic neuropathy affects nervous system and go undiagnosed while exercising its ravages. Although symptoms are non-specific and mimic of several different conditions. There is increase in production of advanced glycosylation end products. These end products alter the structure of the protein and its metabolism, vascular and platelet function and modifies growth factor release. All these compounds are produced in larger amounts in diabetes that paly a very important role in the development of diabetic neuropathy. This entire process is associated with aging.

Diabetic neuropathy has been associated with a high risk of falls in elderly individuals. In addition, individuals with diabetic neuropathy have also been reported to have five times greater ankle proprioceptive threshold. During walking, individuals with diabetic neuropathy exhibit reduced ankle muscle strength and speed which impairs postural stability and increases the risk of subsequent falls. Balance rehabilitation/training is, therefore, an important aspect of the clinical management of diabetic foot disease, especially to improve postural stability and reduce the risk of falling. The current strategies include instrumental balance training programs, including dynamic platforms and powered platforms.

 A recent review of the effect of these various interventions on balance in diabetes reported exercise to be the most promising in treating balance dysfunction. A significant amount of research has focused on balance improvement and fall prevention through different programs in older adults. Each of these methods has created an impact on the infrastructure of balance to improve performance. 

Therefore, the aim of the study is to compare the effectiveness of somatosensory training and virtual reality training for balance, quality of life and risk of fall in elderly with diabetic neuropathy.