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Table 3 Multiple linear regression analysis with peak oxygen uptake as the dependent variable

From: Association of complication of type 2 diabetes mellitus with hemodynamics and exercise capacity in patients with heart failure with preserved ejection fraction: a case–control study in individuals aged 65–80 years

Independent variables

Peak oxygen uptake

 

R2

Standard error

Standardized β

95% confidence interval

Variance Inflation Factor

P-value

 

0.476

      

Age

 

0.069

−0.203

−0.322

−0.048

1.008

0.008

Sex

 

0.610

−0.185

−2.686

−0.265

1.034

0.017

Body mass index

 

0.120

−0.214

−0.574

−0.098

1.033

0.006

Treatment with β-blocker

       

Steps (daily physical activity)

       

Presence of atrial fibrillation

 

0.611

−0.304

−3.673

−1.247

1.008

 < 0.0001

Presence of sarcopenia

       

Hemoglobin level

       

Epicardial adipose tissue thickness

       

Presence of Type 2 diabetes mellitus

 

0.604

−0.551

−5.597

−3.200

1.013

 < 0.0001

  1. Multiple linear regression analysis was performed using the stepwise method; the dependent variables were peak oxygen uptake. We selected as independent variables known parameters that were found to be significantly associated with peak oxygen uptake in patients with HFpEF [40,41,42,43,44,45,46,47,48]. To confirm multicollinearity between the independent variables, a correlation coefficient of  ≥ 0.8 or a variance inflation factor of  ≥ 5.0 was looked for, but neither was confirmed. In addition, on performing the Shapiro–Wilk test on residuals, the significance probability was 0.112, thus, confirming their normal distribution