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Table 2 Demographic and psychometric factors regressed on burnout symptom scores (n = 2947)

From: Risk assessment for job burnout with a mobile health web application using questionnaire data: a proof of concept study

Variables entered

Burnout Risk Index-Original

Exhaustion

Cynicism

Low professional efficacy

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

B

B

B

B

B

B

B

B

Age (yrs)

-.045*

-.011

-.044*

-.011

.000

.030*

-.075***

-.060**

Female sex

.018

-.029*

.041*

-.005

-.014

-.048**

.009

-.026

Cohabiting

-.073***

-.026*

-.052**

-.004

-.076***

-.036*

-.052**

-.030

Education

-.125***

.010

-.121***

.013

-.090***

.019

-.087***

-.017

PSS (score)

 

.177***

 

.200***

 

.101***

 

.111***

ISI (score)

 

.040*

 

.089***

 

.016

 

-.042

NA (score)

 

.459***

 

.400***

 

.462***

 

.223***

PA (score)

 

-.203***

 

-.173***

 

-.137***

 

-.196***

Statistics for Model 2

Adjusted R 2 = .562

Adjusted R 2 = .529

Adjusted R 2 = .389

Adjusted R 2 = .187

F8,2938 = 473.66

F8,2938 = 414.37

F8,2938 = 235.93

F8,2938 = 85.65

P < .001

P < .001

P < .001

P < .001

  1. The columns show standardized coefficients Beta (B) with significance level: ***p < .001, **p < .010, *p < .050; using forced entry of demographic factors in Model 1 and additionally of psychometric scores in Model 2. For educational level, four categories were entered (4 = highest level of education; 1 = lowest level of education)
  2. ISI Insomnia Severity Index, NA negative affect, PA positive affect (i.e., vigor), PSS, Perceived Stress Scale