Skip to main content

Table 6 The univariate and multivariate logistic regression analyses for albuminuria

From: Relationship between pulmonary function and albuminuria in type 2 diabetic patients with preserved renal function

 

Univariate

Model1

Model2

Model2

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

Smoking index

1.001(1.000–1.001)

0.040

      

Duration

1.053(1.015–1.096)

0.006

1.064(1.021–1.109)

0.003

1.065(1.022–1.109)

0.003

1.061(1.019–1.105)

0.004

HbA1c

1.156(1.021–1.309)

0.022

1.238(1.074–1.429)

0.003

1.228(1.068–1.413)

0.004

1.224(1.065–1.406)

0.004

FBG

1.155(1.046–1.276)

0.004

      

TG

1.314(1.120–1.541)

0.001

1.365(1.147–1.624)

0.000

1.357(1.143–1.610)

0.000

1.330(1.1267–1.571)

0.001

FVC%pred

0.965(0.944–0.986)

0.001

0.965(0.944–0.988)

0.002

    

FEV1%pred

0.974(0.954–0.995)

0.014

  

0.975(0.954–0.996)

0.022

  

DLCOc%pred

0.969(0.948–0.992)

0.008

    

0.974(0.951–0.998)

0.035

  1. HbA1c glycated hemoglobin A1c, FBG fasting blood glucose, TG triglyceride level, FVC forced vital capacity, FEV1 forced expiratory volume in 1 second, DLCO diffusion capacity for carbon monoxide of lung, OR odds ratio, CI confidence interval
  2. Model 1: included FVC%pred, smoking index, duration, HbA1c, FBG, and TG
  3. Model 2: included FEV1%pred, smoking index, duration, HbA1c, FBG, and TG
  4. Model 3: included DLCOc%pred, smoking index, duration, HbA1c, FBG, and TG