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 (𝑛=691).

	𝐵	SE	Wald	df	𝑃	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 𝑃<.05^∗.