Skip to main content

Table 5 Linear regression analysis with mean baPWV as dependent variable

From: Urinary adiponectin concentration is positively associated with micro- and macro-vascular complications

  Univariate linear regression analysis
  β (SE) P value
Age(years) 16.616 (0.989) <0.001
Triglyceride(mmol/l) 25.045 (12.563) 0.047
HOMA-IR 16.792 (5.806) 0.004
eCcr (ml/min) −4.557 (0.442) <0.001
Systolic blood pressure (mmHg) 8.955 (0.771) <0.001
Urinary A/C ratio(mg/g) 1.286 (0.236) <0.001
Serum adiponectin(μg/ml) 2.133 (2.132) 0.317
Urinary adiponectin (μg/gCr) 2.642 (0.671) <0.001
  Backward multiple linear regression analysis
β (SE) P value
Age(years) 12.706 (1.303) <0.001
Sex (Female/Male) 54.530 (21.360) 0.011
HOMA-IR 12.672 (4.585) 0.006
eCcr (ml/min) −1.105 (0.513) 0.032
Systolic blood pressure (mmHg) 6.465 (0.680) <0.001
Smoking status (yes) 56.481 (30.437) 0.064
Urinary adiponectin(μg/gCr) 1.085 (0.536) 0.043
R2 0.435  
  1. Backward multiple linear regression analysis was used with mean baPWV as the dependent variable, and age, sex, HOMA-IR, triglyceride, eCcr, systolic blood pressure, urinary A/C ratio, smoking status, diabetes status, ACEi/ARB use, serum adiponectin, and urinary adiponectin as independent variables.
  2. β is the unstandardized regression coefficient.
  3. SE standard errors, baPWV brachial-ankle pulse wave velocity, HOMA-IR Homeostasis model assessment of insulin resistance, eCcr estimated creatinine clearance rate, A/C ratio albumin/creatinine ratio, ACEi ACE inhibitor, ARB Angiotensin receptor blocker.