Table 3.

Sex-Specific Logistic Regression Models predicting incidence of each risk factor per 500cm³ increment in baseline fat volume^†

	WOMEN				MEN				Sex Inter- action
	MV‡	p	MV + BMI	p	MV‡	p	MV + BMI	p	p
Hypertension	N=75/648				N=121/728
VAT	1.24 (1.02, 1.51)	0.03	1.13 (0.83, 1.53)	0.44	1.28 (1.12, 1.47)	0.0003	1.29 (1.07, 1.56)	0.01	0.62
SAT	1.16 (1.06, 1.26)	0.001	1.38 (1.11, 1.71)	0.004	1.04 (0.95, 1.13)	0.40	0.80 (0.67, 0.95)	0.01	0.13
Diabetes	N=20/753				N=36/916
VAT	1.46 (1.05, 2.02)	0.02	1.50 (0.88, 2.56)	0.14	1.34 (1.08, 1.65)	0.008	1.09 (0.83, 1.44)	0.52	0.85
SAT	1.12 (0.97, 1.29)	0.13	0.99 (0.73, 1.35)	0.97	1.19 (1.05, 1.36)	0.006	0.92 (0.72, 1.19)	0.53	0.46
Low HDL	N=19/590				N=36/671
VAT	1.15 (0.85, 1.56)	0.36	1.07 (0.63, 1.81)	0.81	1.15 (0.93, 1.42)	0.19	0.99 (0.74, 1.33)	0.96	0.97
SAT	1.09 (0.95, 1.25)	0.24	1.17 (0.80, 1.72)	0.42	1.13 (0.99, 1.30)	0.06	1.03 (0.77, 1.38)	0.84	0.73
Hyper-triglyceridemia	N=96/650				N=125/570
VAT	1.19 (1.01, 1.40)	0.04	1.36 (1.01, 1.84)	0.045	1.13 (0.99, 1.29)	0.06	1.07 (0.89, 1.29)	0.46	0.64
SAT	1.02 (0.95, 1.11)	0.59	0.92 (0.76, 1.10)	0.35	1.04 (0.95, 1.13)	0.41	0.87 (0.73, 1.03)	0.12	0.79
Metabolic Syndrome	N=78/639				N=108/651
VAT	2.58 (2.05, 3.25)	<0.0001	2.50 (1.78, 3.52)	<0.0001	1.70 (1.45, 1.98)	<0.0001	1.31 (1.07, 1.60)	0.01	0.007
SAT	1.36 (1.25, 1.49)	<0.0001	1.08 (0.87, 1.33)	0.48	1.36 (1.23, 1.52)	<0.0001	0.91 (0.75, 1.11)	0.36	0.87

^†Estimates are odds ratios (95% CI) of the condition for a 500 cm^3 increase in fat volume.

^‡MV model adjusted for age, physical activity, alcohol intake, smoking status, menopausal status (Women only), and Hormone Replacement Therapy (Women only). Diabetes models were additionally adjusted for fasting glucose (at baseline). Hypertension model was additionally adjusted for baseline SBP and baseline DBP. Low HDL models and Hypertriglyceridemia models were additionally adjusted for baseline HDL and baseline log triglycerides, respectively.