Does Personality Predict Depression and Use of an Internet-Based Intervention for Depression among Adolescents?
Table 5
Logistic regression predicting the likelihood of using MoodGYM ().
SE
Wald
df
Odds ratio
95% CI for odds ratio
Lower
Upper
CES-D
.046
.019
5.67
1
.017*
1.047
1.008
1.087
GSE
−.039
.033
1.39
1
.239
.962
.901
1.026
Gender
.477
.346
1.90
1
.168
1.611
.817
3.175
Novelty seeking
−.019
.022
.780
1
.377
.981
.940
1.024
Harm avoidance
−.047
.025
3.57
1
.059
.954
.909
1.002
Reward dependence
−.048
.018
6.87
1
.009*
.953
.920
.988
Persistence
.014
.025
.33
1
.564
1.015
.966
1.066
Self directedness
.021
.026
.64
1
.425
1.021
.970
1.074
Cooperativeness
.017
.023
.54
1
.461
1.017
.973
1.063
Self-transcendence
.016
.022
.55
1
.460
1.016
.974
1.060
Constant
−.214
2.654
.01
1
.936
.807
Significant .
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