Table 1.
Binary logistic regression analysis to identify relationship between body constitution and sleep quality.
| Variables | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | |
| Sex | ||||
| Male | 1.000 | – | – | – |
| Female | 1.219 (0.749–1.982) | .425 | – | – |
| Age | 0.977 (0.930–1.026) | .348 | – | – |
| Marriage | ||||
| Unmarried | 1.000 | – | – | – |
| Married | 1.166 (0.853–1.593) | .336 | – | – |
| Academic degree | ||||
| Secondary vocational school | 1.000 | – | – | – |
| 3-yr college | 0.466 (0.224–0.970) | .041 | 0.472 (0.219–1.017) | .055 |
| 4-yr college | 0.435 (0.190–1.000) | .050 | – | – |
| Balanced constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.355 (0.949–1.935) | .095 | – | – |
| Qi-deficiency constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.237 (0.925–1.653) | .151 | – | – |
| Yang-deficiency constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.420 (1.051–1.917) | .022 | 1.179 (0.810–1.717) | .389 |
| Yin-deficiency constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 2.302 (1.708–3.102) | <.001 | 2.492 (1.824–3.405) | <.001 |
| Phlegm-dampness constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.505 (1.124–2.015) | .006 | 1.315 (0.962–1.798) | .086 |
| Dampness-heat constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.369 (1.020–1.837) | .036 | 0.890 (0.601–1.319) | .563 |
| Blood-stasis constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.459 (1.090–1.953) | .011 | 0.895 (0.587–1.363) | .605 |
| Qi-stagnation constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.990 (1.483–2.671) | <.001 | 2.097 (1.429–3.076) | <.001 |
| Inherited-special constitution | ||||
| No | 1.000 | – | – | – |
| Basically yes/yes | 1.619 (1.108–2.366) | .013 | 1.325 (0.858–2.047) | .204 |
P values <.05 are shown in bold.