Table 4 –

Relationship between demographic variables, lifestyle factors, indicators of EBW a dietary indices and dietary inflammatory score by race.

Variables	African American		Caucasian American
	DIS ≥2 vs < 2	P value	DIS ≥2 vs < 2	P value
	OR (95% CI)		OR (95% CI)
Age
< median	1.00	.4545	1.00	.6213
≥median	0.8 (0.5–1.4)		1.2 (0.6–2.3)
Heath insurance paid on their own
Yes	1.00	.8628	1.00	.8216
No	1.0 (0.6–1.7)		0.7 (0.5–1.9)
Waist circumference (cm)
< 88	1.00	.3295	1.00	.3076
≥88	0.8 (0.5–1.3)		0.7 (0.4–1.4)
Moderate physical activity (minutes/week)
< 150	1.00	.2247	1.00	.6048
≥150	0.7 (0.4–1.3)		0.8 (0.4–1.8)
Smoking status
Non current	1.00	.1330	1.00	.6015
Current	1.5 (0.9–2.6)		0.8 (0.4–1.6)
Parity
0 live births	1.00	.1330	1.00	.2372
≥1 live births	1.5 (0.9–2.6)		1.2 (0.8–3.0)
HEI b
< 54	1.00	<.0001	1.00	.0002
≥54	0.2 (0.2–0.4)		0.3 (0.2–0.6)
Glycemic index c
< 54	1.00	.0003	1.00	.0022
≥54	2.7 (1.7–4.4)		2.7 (1.4–5.1)
Glycemic load c
< 139	1.00	<.0001	1.00	.0004
≥139	3.9 (2.4–6.3)		3.2 (1.7–6.1)

Unconditional logistic regression analysis used to test the relationships.

^aEBW-excess body weight.

^bHEI-health eating index.

^cBecause of their significant correlation with each other, 3 indices were tested in separate models, one at a time.