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Table 4 Summary of significant correlations between the different instruments per group

From: The use of the EQ-5D-Y health related quality of life outcome measure in children in the Western Cape, South Africa: psychometric properties, feasibility and usefulness - a longitudinal, analytical study

Group Instrument EQ-5D-Y dimensions EQ-5D-Y VAS EQ-5D-Y Composite Score
Mobility LAM UA P/D WSU
MS PedsQL “Feelings”      p = .02
−2.318b
  
PedsQL total    p = .007
−2.682b
    p = .041 Rho .199
SS PedsQL “Health and Activity” p < .001
16.7a
      
WeeFIM Mobility p < .001
22.12a
      
WeeFIM self-care   p < .001
14.19a
     
PedsQL total        p = .009
Rho .441
CI WeeFIM Mobility p = .01
9.19a
      
WeeFIM Self-care   p = .013
8.69a
     
PedsQL total    p = .002
−3.043b
   p = .002
Rho-.523
 
WeeFIM total        p = .024
Rho -.398
AI PedsQL “Health and Activity” p < .001
15.81a
      
PedsQL “I hurt”     p < .001
26.78a
   
PedsQL “Feelings”      p = .007
12.14a
  
WeeFIM Mobility p < .001
21.75a
      
WeeFIM Self-care   p < .001
15.57a
     
FPS     p < .001
29.76a
   
PedsQL total    p = .006
10.335a
   p < .001
Rho-.564
p < .001
Rho .635
WeeFIM total       p < .001
Rho .525
p < .001
Rho-.659
  1. aKruskal-Wallis H value
  2. bMann–Whitney U z value
  3. Significant p values are bolded