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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.