Table 2 regression models to explore the association between nocturia and poor sleep quality
Multiple logistic regression ^ | Multiple linear regression ^^ | |||||
|---|---|---|---|---|---|---|
aOR | 95% CI | p-value | β | 95% CI | p-value | |
Nocturia ≥2 | 2.06 | (1.34, 3.16) | < 0.01 | 1.64 | (0.91, 2.38) | < 0.01 |
Age | 0.99 | (0.97, 1.01) | 0.35 | −0.02 | (− 0.06, 0.01) | 0.20 |
Gender | 0.90 | (0.62, 1.32) | 0.59 | −0.70 | (−1.37, − 0.03) | < 0.05 |
Marital status | 0.80 | (0.52, 1.22) | 0.30 | −0.61 | (−1.35, 0.14) | 0.11 |
Employment status | 1.24 | (0.79, 1.92) | 0.35 | 0.21 | (−0.57, 0.99) | 0.60 |
Nagelkerke R2: 0.037 | R2 0.054 | |||||