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Table 3 Linear regression models for Constant -Murley Score evolution

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

-0.18

(-0.28 to -0.08)

< 0.001

GPS

  

TSK

-0.17

(-0.26 to -0.07)

0.001

-0.26

(-0.36 to -0.16)

< 0.001

PCS

-0.29

(-0.39 to -0.19)

< 0.001

  

Constant

Sub-score

activity

HADS-D

-0.13

(-0.23 to -0.03)

0.010

GPS

  

TSK

-0.07

(-0.18 to 0.03)

0.146

-0.16

(-0.27 to -0.05)

0.003

PCS

-0.14

(-0.25 to -0.03)

0.013

  

Constant

Sub-score

mobility

HADS-D

-0.14

(-0.23 to -0.04)

0.005

GPS

  

TSK

-0.07

(-0.16 to 0.03)

0.169

-0.19

(-0.29 to -0.09)

< 0.001

PCS

-0.16

(-0.27 to -0.06)

0.002

  

Constant

Sub-score

strength

HADS-D

-0.09

(-0.19 to 0.01)

0.086

GPS

  

TSK

-0.05

(-0.15 to 0.05)

0.324

-0.12

(-0.23 to -0.01)

0.029

PCS

-0.11

(-0.22 to 0.003)

0.057

  
  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)