Table 4.
Multiple Regression Models for Diabetes Care Profile Control Problems Scale
Model 1 | |||||||
---|---|---|---|---|---|---|---|
Unstandardized Regression Coefficient | P-value | 95% CI | Model Summary Statistics | ||||
b | SE | LL | UL | ||||
Block 1 | Age | −0.015 | 0.007 | .029 | −0.028 | −0.002 | R2 = .176; Adj. R2 =.137 df = 4; F =4.446 P=.003 |
Male | −0.102 | 0.129 | .433 | −0.358 | 0.155 | ||
≥ High School Education | −0.059 | 0.124 | .636 | −0.306 | 0.188 | ||
Married/Partnered | −0.391 | 0.129 | .003 | −0.647 | −0.135 | ||
Block 2 | Age | −0.011 | 0.006 | .074 | −0.024 | 0.001 | R2 = .290; Adj. R2 =.238 R2 change=.114 df = 6; F =5.521, P=.001 |
Male | −0.077 | 0.123 | .532 | −0.323 | 0.168 | ||
≥ High School Education | −0.107 | 0.117 | .365 | −0.341 | 0.126 | ||
Married/Partnered | −0.349 | 0.122 | .005 | −0.591 | −0.107 | ||
Epworth Sleepiness Scale | 0.024 | 0.015 | .099 | −0.005 | 0.053 | ||
PSQI Global | 0.042 | 0.014 | .005 | 0.013 | 0.070 | ||
Model 2 | |||||||
Block 1 | Age | −0.015 | 0.007 | .029 | −0.028 | −0.002 | R2 = .176; Adj. R2 =.137 df = 4; F =4.446, P=.003 |
Male | −0.102 | 0.129 | .433 | −0.358 | 0.155 | ||
Education | −0.059 | 0.124 | .636 | −0.306 | 0.188 | ||
Married/Partnered | −0.391 | 0.129 | .003 | −0.647 | −0.135 | ||
Block 2 | Age | −0.011 | 0.006 | .084 | −0.023 | 0.002 | R2 = .337; Adj. R2 =.269 R2 change=.160 df = 8; F =5.011 P=.001 |
Male | −0.046 | 0.122 | .708 | −0.288 | 0.196 | ||
Education | −0.140 | 0.116 | .230 | −0.370 | 0.090 | ||
Married/Partnered | −0.376 | 0.122 | .003 | −0.618 | −0.134 | ||
ESS | 0.018 | 0.015 | .235 | −0.012 | 0.047 | ||
PSQI Perceived Sleep Quality | 0.009 | 0.105 | .934 | −0.201 | 0.218 | ||
PSQI Sleep Efficiency | 0.044 | 0.062 | .485 | −0.080 | 0.168 | ||
PSQI Daily Disturbances | 0.381 | 0.130 | .004 | 0.122 | 0.640 |
PSQI = Pittsburgh Sleep Quality Index; SE = Standard Error; UL = upper limit; LL = lower limit;