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Table 7 Regression models for the SF-36 summary scores and the EQ VAS score using the age polynomials

From: Health-related quality of life among general practice patients with differing chronic diseases in Germany: Cross sectional survey

Variables

PCSa

MCSb

EQ VASc

 

βd(SE)e

P value

βd(SE)e

P value

βd(SE)e

P value

Age in years

-0.219(0.022)

<0.001

-1.210(0.503)

0.016

0.514(0.232)

0.027

Age squared

  

0.031(0.011)

0.005

-0.007(0.002)

0.006

Age cubed

  

<0.001 (<0.001)

0.003

  

Constant

55.459(1.091)

<0.001

57.971(7.124)

<0.001

61.367(5.216)

<0.001

F value

99.931

<0.001

12.104

<0.001

7.421

0.001

R-square

0.110

 

0.043

 

0.019

 
  1. a PCS: physical component summary score.
  2. b MCS: mental component summary score.
  3. c EQ VAS: EQ-5D visual analogue scale.
  4. d Regression coefficient (linear or non-linear relationship).
  5. e SE = standard error.