The Effect of Graded Motor Imagery on Pain and Function in Individuals with Knee Osteoarthritis

This dataset was collected as part of the study titled "The Effect of Graded Motor Imagery on Pain and Function in Individuals with Knee Osteoarthritis" and includes data from patients with knee osteoarthritis (PwKOA) between July 2023 and March 2024. The data were collected using several clinical measurement tools, including the Visual Analog Scale (VAS), Mini-Mental State Examination (MMSE), Algometer, Digital Goniometer, Hand-Held Dynamometer, Timed Up and Go test (TUG), and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC).The dataset contains variables such as gender, body mass index (BMI), age, disease duration, and other clinical outcome measures. The primary aim of the study was to examine whether graded motor imagery (GMI) was as effective as transcutaneous electrical nerve stimulation (TENS) in improving pain and functionality in patients with knee osteoarthritis.The data is provided in SPSS .sav format and can be used for secondary purposes, such as creating meta-analyses.The dataset is not publicly available but can be requested from the corresponding author for legitimate research purposes. Please contact [e-mail] for data access.This dataset is limited to individuals with knee osteoarthritis and should be interpreted within this context.