Race and region have independent and synergistic effects on dietary intakes in black and white women

Nutrition Journal

Table 2 Anthropometric characteristics and health indicators of 12,105 women participating in the Reasons for Geographic and Racial Differences in Stroke study, stratified by race and geographic region¹

Anthropometric characteristics and health indicators	Stroke Belt			Stroke Belt			Other (non-stroke buckle or belt)			Pvalue between regions²
	Black (n = 971)	White (n = 1,905)	P value	Black (n = 1,600)	White (n = 2,603)	P value	Black (n = 2,237)	White (n = 2,789)	P value
Weight, kg, mean ± SD	87.6 ± 21	74.8 ± 17	<0.001	86.5 ± 21	74.3 ± 17	<0.001	84.3 ± 20	74.9 ± 18	0.001	0.92
Height, cm, mean ± SD	163.9 ± 7	163.1 ± 7	0.003	164 ± 7	163.2 ± 7	<0.001	163.1 ± 7	162.6 ± 7	0.02	<0.001
Waist, cm, mean ± SD	97.2 ± 15.8	88.4 ± 15.2	0.001	97.4 ± 15.7	88.1 ± 15.2	<0.001	96.1 ± 15.7	89.1 ± 16.2	<0.001	0.05
BMI, kg/m ² , mean ± SD	32.5 ± 7.3	28.1 ± 6.2	0.001	32.1 ± 7.1	27.8 ± 6.2	<0.001	31.5 ± 7.1	28.2 ± 6.2	<0.001	0.19
BMI weight group			<0.001			<0.001			<0.001
Overweight, %	27.7	32.4		30.2	32.9		32.0	34.7		0.02
Obese, %	58.5	32.7		56.1	30.1		52.8	31.7
Hypertension, %	71.7	50.9	<0.001	74.5	48.2	<0.001	71.4	45.7	<0.001	0.58
Diabetes, %	30.9	13.8	<0.001	30.0	13.0	<0.001	24.8	9.7	<0.001	<0.001
Dyslipidemia, %	51.0	55.6	0.02	53.2	52.5	0.67	52.3	50.9	0.34	0.10

¹Differences within (black vs. white) and between regions (Stroke Buckle vs. Stroke Belt vs. Other) were examined using t tests for continuous variables (age) and chi-square for categorical variables.

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