Table 3.
Final Multiple Linear Regression Model (Model 3)
| b Coefficient | Robust SE | P | [95% Conf. Interval] | Standardized Beta | ||
|---|---|---|---|---|---|---|
| Constant | −9.07 | 1.600 | <.001 | −12.249 | −5.890 | . |
| eGFR | 0.029 | 0.013 | 0.036 | 0.002 | 0.055 | 0.49 |
| Sedentary-time | 0.056 | 0.019 | 0.004 | 0.018 | 0.093 | 1.41 |
| Interaction | −0.0005 | 0.0002 | 0.022 | −0.0009 | −0.0001 | −1.22 |
| Age | 0.060 | 0.015 | <.001 | 0.030 | 0.089 | 0.39 |
| Sex | −0.187 | 0.177 | 0.294 | −0.540 | 0.165 | −0.09 |
| Education | −0.021 | 0.026 | 0.416 | −0.072 | 0.030 | −0.07 |
| FSRP-10 | 0.009 | 0.014 | 0.510 | −0.018 | 0.036 | 0.07 |
95% Conf. Interval = 95% confidence interval; Age = age in years; eGFR = estimated glomerular filtration rate; FRSP-10 = Framingham 10 year stroke risk prediction; Interaction = Sedentary-time multiplied by eGFR; SE = standard error; Sedentary-time = total sedentary time per week in hours; Sex = female. Our final model accounted for 33% of the variance in ln WMH volume, of which 3.4% was due to the interaction of sedentary time and kidney function.