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. 2019 Aug 28;16(17):3123. doi: 10.3390/ijerph16173123

Table 2.

Logistic regression models containing personality traits and drug consumption, predicting cybervictimization.

Variables Model 1 Model 2 Model 3 Model 4 p-Value for Interactions a
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Age 1.305
(1.010–1.687)
1.200
(0.948–1.519)
1.195
(0.946–1.510)
1.263
(0.974–1.638)
0.743
Female 1.268
(0.882–1.822)
1.330
(0.978–1.809)
1.386
(1.023–1.829)
1.237(0.859–1.783) -
Parental education
Mother education (secondary or more) 1.060
(0.695–1.617)
1.008
(0.698–1.475)
0.999
(0.685–1.458)
1.056
(0.688–1.621)
0.962
Father education
(secondary or more) 1.023
(0693–1.509)
1.136
(0.796–1.620)
1.141
(0.802–1.623)
1.035
(0.697–1.538)
0.347
Personality traits (z-score)
Openness 1.070
(0.901–1.271)
- - 1.079
(0.907–1.238)
0.274
Conscientiousness 0.730
(0.599–0.888)
- - 0.779
(0.635–0.955)
0.611
Extraversion 1.454
(1.190–1.778)
- - 1.314
(1.062–1.629)
0.458
Agreeableness 1.035
(0.835–1.284)
- - 1.047
(0.843–1.301)
0.989
Neuroticism 1.575
(1.318–1.881)
- - 1.526
(1.274–1.828)
0.484
Alcohol consumption
At least monthly - 1.993
(1.470–2.701)
- 1.506(1.053–2.154) 0.267
Tobacco consumption
At least monthly - - 2.546
(1.284–5.048)
1.511
(0.727–3.143)
0.578

ap-Value for sex interactions terms in the fully adjusted logistic regression model (Model 4).