Skip to main content
. 2014 Mar 26;16(4):283–288. doi: 10.1111/jch.12305

Table 2.

Regression of SBP and DBP on LnSUA in Adults With and Without Type 1 Diabetes

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.

a

β‐coefficient represents the difference in systolic blood pressure (SBP) or diastolic blood pressure (DBP) for every 1‐unit difference in the independent variable.