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

Table 5 Linear regression analysis with mean baPWV as dependent variable

	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

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.
β is the unstandardized regression coefficient.
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.

ISSN: 1475-2840