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Table 5 Simple correlations and multiple regression multiple regression analyses mapping NDI data to EQ-5D with GLM method

From: Mapping the neck disability index to SF-6D in patients with chronic neck pain

Predictors Full model Trimmed model
Estimate (β) p-value Estimate (β) p-value
Total score of 10 items
Intercept 0.558685 <0.0001 NA NA
Total score -0.002599 0.000378 NA NA
Pain intensity item
Intercept 0.5587 <0.0001 NA NA
Score -0.011534 0.0651 NA NA
Personal care item
Intercept 0.5963 <0.0001 NA NA
Score -0.03619 <0.0001 NA NA
Lifting item
Intercept 0.5591 <0.0001 NA NA
Score -0.015351 0.0198 NA NA
Reading item
Intercept 0.5727 <0.0001 NA NA
Score -0.01755 0.0116 NA NA
Headaches item
Intercept 0.5488 <0.0001 NA NA
Score -0.011296 0.021 NA NA
Concentration item
Intercept 0.5663 <0.0001 NA NA
Score -0.016173 0.00135 NA NA
Work item
Intercept 0.5797 <0.0001 NA NA
Score -0.022237 <0.0001 NA NA
Driving item
Intercept 0.565 <0.0001 NA NA
Score -0.015599 0.00218 NA NA
Sleeping item
Intercept 0.5342 <0.0001 NA NA
Score -0.005999 0.32 NA NA
Recreation item
Intercept 0.5957 <0.0001 NA NA
Score -0.02382 <0.0001 NA NA
All items in one model
Intercept 0.5827 <0.0001 0.601765 <0.0001
Pain intensity 0.0256 0.014603164 0.014551 0.04971
Personal care (Washing, Dressing, etc.) -0.0210 0.100652028 -0.026856 0.00422
Lifting 0.0014 0.874139856 NS NS
Reading -0.0009 0.93140086 NS NS
Headaches -0.0013 0.862284178 NS NS
Concentration -0.0102 0.343063323 NS NS
Work -0.0113 0.334658954 NS NS
Driving 0.0049 0.525538472 NS NS
Sleepinga 0.0210 0.006355019 0.020376 0.00482
Recreation -0.0348 0.000773979 -0.0238 <0.0001
  1. NS not significant, NA not applicable
  2. aThe item would be removed in the final trimmed model due to no significance