Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content

Table 2 Linear regression exploring the impact of work-status on VAS scores and EQ-5D utilities (n = 830)

From: Do the Washington Panel recommendations hold for Europe: investigating the relation between quality of life versus work-status, absenteeism and presenteeism

 

VAS scores (self-reported health)

Utilities European EQ-5D value set

 

B

Std. error

Beta

B

Std. error

Beta

Work status

      
 

Absent versus working

-3.882

2.524

-.047

-.027

.021

-.037

 

Disabled versus working

-9.504

2.021

-.152***

-.101

.017

-.186***

 

Unemployed versus working

-6.118

1.640

-.117***

-.050

.014

-.109***

Age (years)

.104

.065

.049

.001

.001

.062*

Gender (1: male, 2: female)

1.501

1.326

.033

.012

.011

.031

Pain (range 0-100)

-.026

.024

-.034

-.001

.000

-.168***

Disease duration (years)

-.111

.064

-.052*

-.001

.001

-.033

Restriction due to disease

      
 

Seriously restricted versus not restricted

-32.649

2.346

-.592***

-.247

.020

-.514***

 

Somewhat restricted versus not restricted

-15.443

1.780

-.345***

-.071

.015

-.184***

 

Note: R-square .308

Note: R-square .354

  1. *p <0.10; **p <0.01; ***p <0.001.
Back to article page

Cost Effectiveness and Resource Allocation

ISSN: 1478-7547

Contact us