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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