Table 2:

Multivariable logistic regression for the associations between TAT radiodensity tertiles and the presence of CAC ≥10 and AC ≥100

CAC ≥10 presence (n=488)			AC ≥100 presence (n=486)
TAT radiodensity tertiles	OR (95% CI)	p	TAT radiodensity tertiles	OR (95% CI)	p
Model 1		<0.001	Model 1		<0.001
Middle vs. Low	0.34 (0.19, 0.61)	<0.001	Middle vs. Low	0.46 (0.27, 0.77)	0.003
High vs. Low	0.54 (0.32, 0.90)	0.02	High vs. Low	0.38 (0.23, 0.65)	<0.001
Model 2		<0.001	Model 2		<0.001
Middle vs. Low	0.32 (0.18, 0.59)	<0.001	Middle vs. Low	0.45 (0.26, 0.78)	0.004
High vs. Low	0.43 (0.24, 0.78)	0.01	High vs. Low	0.35 (0.20, 0.64)	<0.001
Model 3		0.09	Model 3		0.02
Middle v.s Low	0.47 (0.24, 0.93)	0.03	Middle vs. Low	0.56 (0.32, 0.99)	0.04
High vs Low	0.66 (0.34, 1.31)	0.24	High vs. Low	0.44 (0.24, 0.82)	0.01
Model 4		0.08	Model 4		0.12
Middle vs. Low	0.46 (0.23, 0.91)	0.03	Middle vs. Low	0.59 (0.32, 1.10)	0.09
High vs. Low	0.67 (0.33, 1.36)	0.26	High vs. Low	0.52 (0.26, 1.03)	0.06

TAT, total heart adipose tissue; CAC, coronary artery calcification; AC, aortic calcification; Model 1: unadjusted; Model 2: adjusted for age, race, site, menopausal status; Model 3: model 2 + body mass index; Model 4: model 3 + log-transformed triglycerides, current smoking status, and systolic blood pressure