Research Article
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 | | |
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Significant .
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