Table 2.
Regression Models | SBP | DBP | ||
---|---|---|---|---|
βa±SE | P Value | βa±SE | P Value | |
Controls | ||||
Model 1: age, sex, race, LnSUA | 12.08±2.32 | <.0001 | 7.45±1.58 | <.0001 |
Model 2(a): model 1+Ln serum creatinine | 11.96±2.35 | <.0001 | 7.16±1.60 | <.0001 |
Model 2(b): model 1+LnACR | 11.70±2.33 | <.0001 | 7.41±1.61 | <.0001 |
Model 3: model 2(a)+waist circumference and current smoking status | 5.35±2.50 | .03 | 2.18±1.69 | .19 |
Model 4: model 3+HbA1c and sodium intake | 5.42±2.60 | .04 | 2.18±1.74 | .21 |
Type 1 diabetes | ||||
Model 1: age, sex, race, LnSUA | −4.82±3.44 | .16 | 2.60±2.34 | .27 |
Model 2(a): model 1+Ln serum creatinine | −4.45±3.58 | .21 | 3.24±2.44 | .18 |
Model 2(b): model 1+LnACR | −7.75±3.72 | .04 | 0.66±2.55 | .79 |
Model 3: model 2(a)+waist circumference and current smoking status | −7.22±3.62 | .05 | 1.40±2.46 | .57 |
Model 4: model 3+HbA1c and sodium intake | −8.64±4.05 | .03 | 2.27±2.77 | .42 |
Abbreviations: ACR, albumin‐creatinine ratio; HbA1c, glycated hemoglobin; SE, standard error; SUA, serum uric acid.
β‐coefficient represents the difference in systolic blood pressure (SBP) or diastolic blood pressure (DBP) for every 1‐unit difference in the independent variable.