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

BMC Pediatrics

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

Abdominal adipose tissue		Binary logistic regression		Binary logistic regression		Binary logistic regression
Abdominal adipose tissue		Model – 1		Model – 2		Model – 3
	SCAT	OR (OR_95%CI)	p	OR (OR_95%CI)	p	OR (OR_95%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 (OR_95%CI)	p	OR (OR_95%CI)	p	OR (OR_95%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

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.

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