Table 2: Logistic regression model: MOODS-SR depressive and rhythmicity domains, gender and education levels as predictive variables associated with PTSD diagnosis in the total sample.
Predictive factors |
B(S.E.) |
O.R. |
CI95% |
p |
Mood-depressive |
0.256 (0.108) |
1.292 |
1.045-1.597 |
.018 |
Energy-depressive |
-0.309 (0.275) |
0.734 |
0.429-1.258 |
.261 |
Cognition-depressive |
0.268 (0.121) |
1.308 |
1.032-1.657 |
.026 |
Rhythmicity |
0.051 (0.102) |
1.052 |
0.861-1.286 |
.618 |
Gender |
0.548 (1.024) |
1.731 |
0.232-12.885 |
.592 |
Education |
1.048 (0.967) |
2.851 |
0.428-18.892 |
.279 |
K |
-6.671 (2.237) |
0.001 |
- |
.003 |
Cox R2 = 0.31; Nagelkerke R2 = 0.52; Hosmer-Lemeshow test: χ2 = 7,24, p = .511; Global-goodness-fit percentage = 89,0%. Sensitivity=53.8%; specificity=95.6%.