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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: J Am Geriatr Soc. 2017 Sep 15;65(11):2502–2509. doi: 10.1111/jgs.15027

Table 3.

Parameter estimates and significance tests for nested regression models that included nocturia variables (i.e., full models that included covariatesa and variables for nocturia frequency 1–2/night and 3–4/night for complete cases only; N = 673)

Model 1: Self-Reported Sleep Quality Model 2: Objective Wake After Sleep Onset (WASO) Model 3: Objective Total Sleep Time (TST) Model 4: Objective Time-in- Bed (TIB)
Significance tests for overall model χ2 (DF) P value F (Df) ΔR2b P value F(Df) ΔR2 b P value F (Df) ΔR2 b P value
9.84 (2) .007 22.18 (2, 633) .060 <.001 1.22 (2, 634) .004 .297 8.68 (2, 635) .024 <.001
Adjusted parameter estimates Odds ratio (CI) P value Bc CI P value Bc CI P value Bc CI P value
 Nocturia frequency 1–2/night 2.75 (1.10, 6.90) .031 18.43 8.12, 28.74 <.001 −14.74 −33.32, 3.84 0.120 6.47 −9.96, 22.91 .439
 Nocturia frequency 3–4/night 4.26 (1.65, 11.01) .003 37.53 26.02, 49.04 <.001 −12.81 −33.56, 7.94 .226 31.1 12.72, 49.43 .001
a

Age, race, body mass index, dichotomous variables for stroke, diabetes, Alzheimer’s disease or dementia, heart failure, chronic lung disease, osteoarthritis, Parkinson’s disease, atherosclerotic disease (history of myocardial infarction, coronary artery disease, coronary artery disease requiring angioplasty or stenting, or peripheral vascular disease), polytomous variable for number of restless legs syndrome symptoms and frequency of nightmares, pain, and heartburn, Geriatric Depression Scale was entered as an interval variable, and sedating medication and frequency of use.

b

Difference in R2 for full model that contained nocturia frequency variables versus reduced model that did not contain nocturia frequency variables.

c

Unstandardized regression coefficient