Research Article

Effects of Virtual Reality-Based Exercise Imagery on Pain in Healthy Individuals

Table 2

Correlation coefficients between changes in pain and variables.

Driving groupRunning groupDifference changes between groups
Percent change for PPT of the quadricepsPercent change for PPT of the forearmPercent change for HPT of the handPercent change for PPT of the quadricepsPercent change for PPT of the forearmPercent change for HPT of the handPercent change for PPT of the quadricepsPercent change for PPT of the forearmPercent change for HPT of the hand

Exercise imagery ability
 MIQ-R visual subscale-0.0500.0580.0490.1550.1870.2420.0900.0540.107
 MIQ-R kinesthetic-0.0980.0410.1030.0720.2040.2090.0850.1200.090
 subscales
 Delta time between TUG0.1580.0850.0380.2260.2120.1810.1540.2330.166
 and imagined TUG
Psychological factors
 STAI state subscale-0.068-0.021-0.157-0.248-0.0440.005-0.210-0.0690.170
 STAI trait subscale-0.189-0.054-0.031-0.0630.0080.0140.005-0.0340.093

PPT, pressure pain thresholds; HPT, heat pain thresholds; MIQ-R, Movement Imagery Questionnaire Revised; TUG, Timed Up and Go test; STAI, State-Trait Anxiety Inventory.
The values of Spearman’s correlation coefficients are shown. There was no significant correlation between changes in pain and variables (p > 0.05).