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Table 4 Results of the hierarchical logistic regression analyses with having suicidality as a dependent variable, for female employees (N = 151)

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

−.045

2.276

.131

.956

−.063

2.779

.095

.939

 Years of education

.015

.173

.677

1.016

.014

.107

.744

1.014

 Family income

−.142

1.090

.296

.867

−.268

2.643

.104

.765

 Job grade (low)

.098

.007

.934

1.103

−.107

.006

.936

.899

Character strengths measured by the VIA-72

 Creativity

    

.772

3.414

.065

2.165

 Curiosity

    

.068

.037

.848

1.070

 Judgment

    

−1.405

5.663

.017*

.245

 Love of learning

    

−.072

.043

.836

.930

 Perspective

    

.056

.015

.901

1.058

 Love

    

.757

3.778

.052†

2.133

 Kindness

    

−1.456

6.486

.011*

.233

 Social intelligence

    

−.148

.089

.765

.863

 Teamwork

    

.005

.000

.991

1.005

 Fairness

    

.663

1.372

.242

1.940

 Leadership

    

.518

.960

.327

1.679

Statistics of the model

 -2LL

154.947

127.425

 Model χ2

2.998 (df = 4), p = .558

30.520 (df = 15), p = .010*

 Step χ2

2.998 (df = 4), p = .558

27.522 (df = 11), p = .004**

 Nagelkerke R2

.031

.286

 Classification Accuracy (%)

76.6

80.7

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

ISSN: 1471-2458

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