Table 4.
Mood | Quality of sleep | Alertness | |
---|---|---|---|
ESRD (relative to CKD) | −11.3 (−19.9, −2.7) | −10.5 (−18.5, −2.5) | −12.7 (−22.1, 3.3) |
p = 0.01 | p = 0.01 | p = 0.008 | |
Age | 3.0 (0.5, 5.5) | 0.08 (−2.1, 2.3) | 3.1 (0.2, 5.9) |
p = 0.02 | p = 0.94 | p = 0.035 | |
Female | 3.7 (−2.9, 10.4) | 6.0 (−1.2, 13.3) | 4.1 (−3.2, 11.3) |
p = 0.27 | p = 0.1 | p = 0.27 | |
African-American race | 9.8 (2.0, 17.5) | 6.2 (−1.6, 14.0) | 12.3 (3.7, 21.0) |
p = 0.01 | p = 0.12 | p = 0.005 | |
BMI | −0.8 (−1.6, 0.02) | −0.9 (−1.5, −0.2) | −0.7 (−1.5, 0.1) |
p = 0.06 | p = 0.01 | p = 0.1 | |
High school education | 1.5 (−6.7, 9.6) | −0.9 (−7.7, 5.9) | 4.1 (−5.3, 13.6) |
p = 0.72 | p = 0.8 | p = 0.39 | |
Employed | 0.1 (−8.7, 8.9) | 3.3 (−5.4, 12.1) | 2.1 (−7.4, 11.6) |
p = 0.98 | p = 0.46 | p = 0.67 | |
CHF | −2.9 (−15.2, 9.3) | −6.1 (−18.0, 5.8) | −7.7 (−21.8, 6.4) |
p = 0.64 | p = 0.31 | p = 0.28 | |
Depression | 2.8 (−7.5, 13.2) | 1.9 (−7.2, 10.9) | 2.9 (−9.6, 15.3) |
p = 0.59 | p = 0.69 | p = 0.65 | |
Presence of RLS | 2.98 (−5.8, 11.8) | −0.7 (−9.7, 8.4) | −2.8 (−11.5, 6.0) |
p = 0.51 | p = 0.88 | p = 0.006 | |
Total number antihypertensives | 2.0 (−0.7, 4.8) | 1.45 (−1.4, 4.3) | 1.4 (−2.1, 4.8) |
p = 0.15 | p = 0.32 | p = 0.44 | |
Use of β-blockers | −4.3 (−12.6, 4.0) | −1.7 (−10.3, 6.8) | −4.3 (−13.7, 5.2) |
p = 0.31 | p = 0.69 | p = 0.37 | |
BP | 13.5 (4.2, 22.8) | 13.2 (3.4, 23.0) | 10.9 (−0.5, 22.4) |
p = 0.005 | p = 0.008 | p = 0.06 | |
RP | −3.6 (−11.6, 4.4) | 1.8 (−5.5, 9.1) | −3.9 (−11.9, 4.1) |
p = 0.37 | p = 0.63 | p = 0.33 | |
GH | 10.9 (2.4, 19.3) | 12.9 (5.4, 20.5) | 6.6 (−3.2, 16.4) |
p = 0.01 | p < 0.001 | p = 0.18 | |
PF | −18.7 (−32.0, −5.5) | −14.9 (−25.5, −4.4) | −19.6 (−33.4, −5.7) |
p = 0.006 | p = 0.006 | p = 0.006 |
The first number in each cell is the coefficient quantifying the change in the average mood, sleep quality and alertness in the presence of the predictor (or per 1 unit change for continuous predictors such as age). Number in parentheses is the 95% confidence interval (uncertainty of the model for the value of the coefficient), and the final number is the p value measuring statistical significance. All models are adjusted for a linear trend in day-to-day performance in each of the 3 domains.