Table 3. Association of depersonalization with excessive daytime sleepiness and sleep quality among technical-level Nursing students (n=213). Londrina, PR, Brazil, 2020.
| Independent variables | p-value | odds ratio unadjusted* (95% Confidence Interval) | p-value | odds ratio adjusted† (95% Confidence Interval) |
|---|---|---|---|---|
| Excessive daytime sleepiness | 0.001 | 3.291(1.678-6.456) | <0.001 | 4.259(2.037-8.905) |
| Gender | 0.640 | 1.265(0.473-3.383) | ||
| Age | 0.268 | 1.022(0.983-1.062) | ||
| Work | 0.033 | 0.436(0.203-0.936) | ||
| Use of antidepressants | 0.282 | 0.418(0.086-2.045) | ||
| Subjective sleep quality | 0.025 | 1.541(1.055-2.250) | 0.030 | 1.533(1.043-2.252) |
| Gender | 0.718 | 1.191(0.461-3.080) | ||
| Age | 0.767 | 1.006(0.969-1.043) | ||
| Work | 0.276 | 0.673(0.330-1.372) | ||
| Use of antidepressants | 0.327 | 0.461(0.098-2.166) | ||
| Sleep latency | 0.019 | 1.637(1.085-2.471) | 0.017 | 1.682(1.096-2.583) |
| Gender | 0.643 | 1.253(0.483-3.249) | ||
| Age | 0.630 | 1.009(0.972-1.047) | ||
| Work | 0.339 | 0.704(0.343-1.445) | ||
| Use of antidepressants | 0.240 | 0.394(0.083-1.866) | ||
| Sleep duration | 0.100 | 1.248(0.958-1.624) | 0.050 | 1.317(1.000-1.734) |
| Gender | 0.922 | 0.953(0.364-2.492) | ||
| Age | 0.912 | 1.002(0.966-1.039) | ||
| Work | 0.121 | 0.562(0.271-1.164) | ||
| Use of antidepressants | 0.289 | 0.434(0.093-2.030) | ||
| Habitual sleep efficiency | 0.058 | 1.397(0.988-1.973) | 0.053 | 1.421(0.995-2.030) |
| Gender | 0.745 | 1.170(0.455-3.006) | ||
| Age | 0.803 | 1.005(0.969-1.042) | ||
| Work | 0.248 | 0.657(0.322-1.341) | ||
| Use of antidepressants | 0.277 | 0.423(0.089-1.995) | ||
| Sleep disorders | 0.002 | 3.324(1.537-7.186) | 0.001 | 4.218(1.803-9.870) |
| Gender | 0.797 | 1.135(0.433-2.971) | ||
| Age | 0.537 | 1.012(0.974-1.051) | ||
| Work | 0.112 | 0.546(0.259-1.151) | ||
| Use of antidepressants | 0.129 | 0.274(0.052-1.460) | ||
| Use of sleep medications | 0.671 | 1.060(0.809-1.389) | 0.428 | 1.121(0.845-1.488) |
| Gender | 0.806 | 1.125(0.440-2.873) | ||
| Age | 0.909 | 1.002(0.966-1.039) | ||
| Work | 0.197 | 0.625(0.307-1.276) | ||
| Use of antidepressants | 0.266 | 0.409(0.085-1.977) | ||
| Daytime dysfunction | 0.001 | 2.177(1.360-3.485) | 0.001 | 2.452(1.471-4.088) |
| Gender | 0.561 | 1.336(0.504-3.540) | ||
| Age | 0.284 | 1.022(0.982-1.063) | ||
| Work | 0.154 | 0.588(0.284-1.220) | ||
| Use of antidepressants | 0.253 | 0.402(0.084-1.920) | ||
| Sleep quality | ||||
| Good | 0.005 | 0.003 | ||
| Poor | 0.198 | 1.875(0.719-4.887) | 0.155 | 2.023(0.765-5.347) |
| Sleep disorders | 0.002 | 5.357(1.821-15.762) | 0.001 | 6.029(1.990-18.269) |
| Gender | 0.804 | 1.130(0.430-2.966) | ||
| Age | 0.582 | 1.011(0.973-1.050) | ||
| Work | 0.182 | 0.609(0.294-1.263) | ||
| Use of antidepressants | 0.227 | 0.380(0.079-1.826) |
*
Univariate binary logistic regression;
†
Multiple binary logistic regression; Hosmer-Lemeshow of each model: 0.571, 0.188, 0.893, 0.618, 0.329, 0.835, 0.687, 0.819, 0.474; Nagelkerke R Square of each model: 0.126, 0.053, 0.060, 0.046, 0.044, 0.106, 0.023, 0.108, 0.100, respectively