Skip to main content

Table 4 Univariable and multivariable logistic regression analysis in independent predictors of myocardial microvascular dysfunction

From: The additive effects of obesity on myocardial microcirculation in diabetic individuals: a cardiac magnetic resonance first-pass perfusion study

 

Normal–weight group

Overweight group

Obese group

Univariable

OR (95% CI)

Multivariable

OR (95% CI)

Univariable

OR (95% CI)

Multivariable

OR (95% CI)

Univariable

OR (95% CI)

Multivariable

OR (95%CI)

Sex (female)

0.40 (0.16–0.99)∆

0.20 (0.06–0.61)†

0.10 (0.03–0.34)†

0.08 (0.02–0.34)†

0.17 (0.05–0.54)†

0.12 (0.03–0.47)†

Age

1.01 (0.97–1.05)

–

1.03 (0.97–1.08)

–

0.99 (0.94–1.04)

–

Diabetes

3.90 (1.52–10.01)†

6.46 (2.08–20.10)†

5.58 (1.71–18.18)†

7.19 (1.67–31.07)†

8.00 (2.00–31.99)†

11.21 (2.38–52.75)†

Hypertension

3.25 (0.99–10.74)

–

3.03 (0.74–12.45)

–

1.26 (0.40–3.99)

–

Hyperlipidemia

9.20 (1.14–74.25)*

–

0.96 (0.28–3.22)

–

0.44 (0.12–1.65)

–

Renal dysfunction^

1.75 (0.33–9.27)

–

4.50 (0.50–40.26)

–

10.85 (1.24–94.97) *

–

  1. Candidate variables for multivariable model were selected on clinical grounds, guided by univariable correlation with P value < 0.10 and the absence of collinearity. ^Renal dysfunction: estimated creatinine clearance < 60 mL/min
  2. ∆P < 0.1; *P < 0.05; †P < 0.01. CI confidence interval, OR odds ratio