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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