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Table 4 Multivariate model for association between abdominal adipose tissue and metabolic syndrome components (n = 182)

From: Intra-abdominal fat is related to metabolic syndrome and non-alcoholic fat liver disease in obese youth

Abdominal adipose tissue Binary logistic regression Binary logistic regression Binary logistic regression
Model – 1 Model – 2 Model – 3
  SCAT OR (OR95%CI) p OR (OR95%CI) p OR (OR95%CI) p
EBP   <P25 1.00 --- 1.00 --- 1.00 ---
    P25-75 1.07 (0.47 – 2.41) 0.867 0.89 (0.38 – 2.07) 0.795 0.88 (0.38 – 2.05) 0.776
    ≥P75 2.71 (1.13 – 6.46) 0.025 1.86 (0.70 – 4.91) 0.210 1.90 (0.71 – 5.05) 0.195
  IAAT OR (OR95%CI) p OR (OR95%CI) p OR (OR95%CI) p
Dyslipidemia   <P25 1.00 --- 1.00 --- 1.00 ---
    P25-75 3.48 (1.50 – 8.07) 0.004 3.48 (1.46 – 8.31) 0.005 3.33 (1.39 – 8.00) 0.007
    ≥P75 5.53 (2.14 – 14.2) 0.001 5.65 (2.09 – 15.2) 0.001 5.23 (1.92 – 14.2) 0.001
  1. Model-1: crude analysis; Model-2: analysis adjusted by sex, age and maturation; Model-3: analysis adjusted by sex, age, maturation, NAFLD and HOMA-IR; EBP elevated blood pressure, NAFLD non-alcoholic fat liver disease, OR odds ratio, 95% CI 95% confidence interval, IAAT intra-abdominal adipose tissue, SCAT subcutaneous adipose tissue, EBP elevated blood pressure, MS metabolic syndrome.