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Table 2 Parameter estimates of general linear univariate model to predict rest albuminuria and ΔEiA

From: Sex difference in the risk for exercise-induced albuminuria correlates with hemoglobin A1C and abnormal exercise ECG test findings

Dependent variable

Rest UACR

ΔEiA

Predictors

B

CI (95%)

p value

B

CI (95%)

p value

Sex

32.95

−9.95 to 75.85

0.132

−89.98

−0.13 to −44.42

<0.001

Age

−0.1

−0.39 to 0.18

0.488

−0.1

−0.41 to 0.2

0.522

BMI

0.31

−0.3 to 0.92

0.319

2

1.34 to 2.66

<0.001

eGFR

−0.38

−0.57 to −0.19

<0.001

0.01

−0.2 to 0.21

0.956

A1C categorized

−15.69

−55.28 to 23.91

0.437

−109.82

−151.86 to −67.78

<0.001

METs

−0.48

−1.01 to 0.13

0.122

0.68

0.0–1.33

0.04

Baseline U albumin

   

−0.05

−0.09 to −0.01

0.016

Sex*A1c categorized

32.24

−75.74 to 10.92

0.143

95.37

49.34–141.39

<0.001

  1. The model estimates predictors for rest urinary albumin to creatinine ratio (Rest UACR) and ΔEiA (UACR following exercise minus UACR at rest). Presented are results of a general linear regression model with Rest UACR (left side) or ΔEiA (right side) as the dependent variable and sex, age, BMI, eGFR, A1C, METs, rest UACR and the interaction between sex and categories of A1C as independent variables. Sex and the interaction between sex and A1C were significant predictors at the exercise induced model but not at rest
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Cardiovascular Diabetology

ISSN: 1475-2840