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. 2012 Apr 13;11:25. doi: 10.1186/1475-2891-11-25

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.