Skip to main content

Table 2 Linear regression models for Constant-Murley Score at entry

From: Should we separately measure the pain parameter of the Constant-Murley score in patients with chronic shoulder pain?

Outcome

Potential contributing factors

Univariable coefficient

(95% CI)

P value

Potential contributing factors

Multivariable coefficient

(95% CI)

P value

Constant

Sub-score pain

HADS-D

-0.28

(-0.37 to -0.19)

< 0.001

GPS

  

TSK

-0.25

(-0.34 to -0.17)

< 0.001

-0.37

(-0.46 to -0.28)

< 0.001

PCS

-0.40

(-0.48 to -0.31)

< 0.001

  

Constant

Sub-score

activity

HADS-D

-0.08

(-0.17 to 0.02)

0.124

GPS

  

TSK

-0.08

(-0.18 to 0.01)

0.094

-0.07

(-0.17 to 0.03)

0.173

PCS

-0.05

(-0.15 to 0.06)

0.374

  

Constant

Sub-score

mobility

HADS-D

-0.11

(-0.21 to -0.02)

0.018

GPS

  

TSK

-0.04

(-0.13 to 0.06)

0.427

-0.07

(-0.17 to 0.03)

0.170

PCS

-0.02

(-0.12 to 0.08)

0.677

  

Constant

Sub-score

strength

HADS-D

-0.09

(-0.18 to -0.003)

0.043

GPS

  

TSK

-0.07

(-0.16 to 0.02)

0.132

-0.09

(-0.18 to 0.01)

0.078

PCS

-0.07

(-0.16 to 0.03)

0.181

  
  1. 95% CI, 95% confidence interval. HADS-D, Hospital Anxiety and Depression Scale – Depression.  TSK, Tampa Scale for Kinesiophobia.  PCS, Pain Catastrophizing Scale.  GPS, Global Psychological Score = geometric mean HADS-D, PCS, TSK. Models were adjusted for age, sex, diagnosis, surgery, work-related injury and pain severity (except for Constant sub-score pain)