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Table 2 regression models to explore the association between nocturia and poor sleep quality

From: The mediating role of sleep quality in the association between nocturia and health-related quality of life

  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
  1. ^: the dependent variable of the model is dichotomous (PSQI global score ≤ 5 vs. 5PSQI global score > 5)
  2. ^^: the dependent variable of the model is continuous (PSQI global score)
  3. Abbreviation: aOR adjusted odds ratio, CI confidence interval, PSQI Pittsburgh Sleep Quality Index, SD standard deviation