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)

P value 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/m2, 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.

Newby et al. Nutrition Journal 2012 11:25   doi:10.1186/1475-2891-11-25

Open Data