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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