Skip to main content

Table 3 Logistic regression analysis of BMI, HbA1c and LV diastolic dysfunction in patients with type 2 diabetes

From: An in-depth analysis of glycosylated haemoglobin level, body mass index and left ventricular diastolic dysfunction in patients with type 2 diabetes

Exposure

Non-adjusted model OR(95% CI) P value

Adjusted model OR(95% CI) P value

BMI (kg/m2)

(Analysis by continuous variables)

1.07 (1.02, 1.13) 0.0059

1.12 (1.05, 1.20) 0.0010

BMI (kg/m2) (Analysis by categorical variables)

 BMI < 24(kg/m2)

1.0(ref.)

1.0(ref.)

 BMI ≥ 24(kg/m2)

1.40 (1.05, 1.87) 0.0227

1.71 (1.17, 2.50) 0.0056

 HbA1c(%)

(Analysis by continuous variables)

0.95 (0.89, 1.02) 0.1589

0.99 (0.91, 1.08) 0.8601

HbA1c (Analysis by categorical variables)

 HbA1c < 7%

1.0(ref.)

1.0(ref.)

 7% ≤ HbA1c < 9%

1.07 (0.72, 1.60) 0.7210

0 .90 (0.56, 1.47) 0.6855

 HbA1c ≥ 9%

0.82 (0.55, 1.20) 0.3043

1.03 (0.63, 1.67) 0.9120

  1. Adjusted model: adjusted for age, sex, smoking status, drinking status, systolic blood pressure, diastolic blood pressure and course of disease, glomerular filtration rate,triglyceride and uric acid
  2. OR Odds ratio, CI Confidence interval