Skip to main content

Table 3 Results of the hierarchical logistic regression analyses with having depressive mood as a dependent variable, for male employees (N = 84)

From: Character strengths as protective factors against depression and suicidality among male and female employees

Independent variables

Model 1

Model 2

B

Wald

Sig.

OR

B

Wald

Sig.

OR

Socio-demographic factors

 Age

−.015

.119

.731

.986

−.043

.647

.421

.958

 Years of education

.020

.211

.646

1.020

.000

.000

.994

1.000

 Family income

−.124

.459

.498

.884

−.039

.026

.873

.961

 Job grade (low)

−20.339

.000

.999

.000

−20.843

.000

.999

.000

Character strengths measured by the VIA-72

 Creativity

    

−.816

2.917

.088

.442

 Curiosity

    

.927

1.987

.159

2.527

 Judgment

    

.186

.098

.754

1.204

 Love of learning

    

−.479

1.746

.186

.619

 Perspective

    

−.159

.051

.822

.853

 Love

    

1.746

4.279

.039*

5.729

 Kindness

    

.248

.127

.721

1.282

 Social intelligence

    

−.176

.075

.785

.838

 Teamwork

    

−2.204

4.666

.031*

.110

 Fairness

    

.684

.958

.328

1.982

 Leadership

    

−.398

.400

.527

.672

Statistics of the model

 -2LL

97.972

81.454

 Model χ2

3.600 (df = 4), p = .463

20.118 (df = 15), p = .167

 Step χ2

3.600 (df = 4), p = .463

16.518 (df = 11), p = .123

 Nagelkerke R2

.060

.305

 Classification Accuracy (%)

69.9

71.1

  1. *p < .05, **p < .01, ***p < .001. VIA-72, 24 Character Strength Alphas Values in Action Survey-72; Sig., significance; OR, odds ratio