Table 5 |
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|
Multivariable linear regression analyses showing associations between race, region, and nutrients among 12,105 women participating in the Reasons for Geographic and Racial Differences in Stroke study1 |
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|
Nutrient outcome |
Effects of race and region on nutrient intakes |
|||
|
β |
95% CI |
P value |
Adjusted Means (SE) |
|
|
Fiber (g) |
||||
|
Black |
-0.37 |
(-0.12, -0.61) |
0.003 |
15.1 (0.09) vs. 15.5 (0.07) [Black vs. white] |
|
Stroke Buckle |
-0.61 |
(-0.33, -0.88) |
<0.0001 |
15.0 (0.1) vs. 15.6 (0.08) [Stroke Buckle vs. Other] |
|
Stroke Belt |
-0.42 |
(-0.17, -0.66) |
0.0009 |
15.1 (0.08) vs. 15.6 (0.08) [Stroke Belt vs. Other] |
|
Saturated fat (% energy) |
||||
|
Black |
-1.05 |
(-0.95, -1.16) |
<0.0001 |
10.0 (0.04) vs. 11.0 (0.03) [Black vs. white] |
|
Stroke Buckle |
-0.20 |
(-0.08, -0.32) |
<0.0009 |
10.5 (0.05) vs. 10.7 (0.04) [Stroke Buckle vs. Other] |
|
Stroke Belt |
-0.35 |
(-0.24, -0.46) |
<0.0001 |
10.3 (0.04) vs. 10.7 (0.04) [Stroke Belt vs. Other] |
|
Trans fat (% energy)2 |
||||
|
Stroke Buckle: Black |
-0.06 |
(-0.16, 0.03) |
0.20 |
2.92 (0.04) vs. 2.98 (0.03) [Black vs. white] |
|
Stroke Belt: Black |
-0.16 |
(-0.08, -0.25) |
0.0002 |
2.80 (0.02) vs. 3.12 (0.03) [Black vs. white] |
|
Other: Black |
-0.007 |
(-0.08, 0.06) |
0.84 |
2.80 (0.02) vs. 2.80 (0.03) [Black vs. white] |
|
Sodium (mg) |
||||
|
Black |
-85.23 |
(-67.6, -102.9) |
<0.0009 |
2042 (6.7) vs. 2122 (5.3) [Black vs. white] |
|
Stroke Buckle |
-36.43 |
(-16.52, -56.33) |
0.003 |
2067 (8.1) vs. 2103 (6.1) [Stroke Buckle vs. Other] |
|
Stroke Belt |
-36.84 |
(-18.95, -54.74) |
<0.0001 |
2067 (6.7) vs. 2103 (6.1) [Stroke Belt vs. Other] |
|
Potassium (g) |
||||
|
Black |
-228.3 |
(-202.7, -253.9) |
<0.0001 |
2375 (9.7) vs. 2593 (7.6) [Black vs. white] |
|
Stroke Buckle |
-98.50 |
(-69.7, -127.3) |
<0.0001 |
2438 (11.7) vs. 2536 (8.9) [Stroke Buckle vs. Other] |
|
Stroke Belt |
-85.30 |
(-59.4, -111.2) |
<0.0001 |
2451 (9.7) vs. 2536 (8.9) [Stroke Belt vs. Other] |
|
Magnesium (mg) |
||||
|
Black |
-22.67 |
(-19.92, -25.43) |
<0.0001 |
246 (1.0) vs. 268 (0.82) [Black vs. white] |
|
Stroke Buckle |
-7.11 |
(-4.01, -10.21) |
<0.0001 |
253 (1.3) vs. 261 (0.95) [Stroke Buckle vs. Other] |
|
Stroke Belt |
-5.49 |
(-2.70, -8.28) |
0.0001 |
255 (1.0) vs. 261 (0.95) [Stroke Belt vs. Other] |
|
Calcium (mg)2 |
||||
|
Stroke Buckle: Black |
-96.82 |
(-74.97, -118.7) |
<0.0001 |
540 (8.7) vs. 637 (5.9) [Black vs. white] |
|
Stroke Belt: Black |
-97.83 |
(-78.90, -116.8) |
<0.0001 |
579 (7.2) vs. 675 (5.5) [Black vs. white] |
|
Other: Black |
-135.56 |
(-118.8, -152.4) |
<0.0001 |
565 (6.1) vs. 701 (5.3) [Black vs. white] |
|
Cholesterol (mg)2 |
||||
|
Stroke Buckle: Black |
-1.22 |
(-8.61, 6.17) |
0.75 |
183 (2.9) vs. 185 (2.0) [Black vs. white] |
|
Stroke Belt: Black |
-1.81 |
(-7.84, 4.22) |
0.56 |
186 (2.3) vs. 188 (1.7) [Black vs. white] |
|
Other: Black |
-9.76 |
(-4.36, -15.15) |
0.0004 |
180 (2.0) vs. 190 (1.7) [Black vs. white] |
|
|
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|
1For unstratified analyses, the reference group for race is white and the reference group for region is "other." All models are adjusted for the following covariates: age, total energy, BMI, multivitamin use, menopausal status, hormone therapy use, income, education, marital status, smoking status, alcohol use, physical activity, television viewing, and diagnoses of disease (hypertension, hypercholesterolemia, and diabetes). 2A significant interaction between race and region was detected for trans fat (p = 0.0014), calcium (p < 0.0001), and cholesterol (p = 0.006). These analyses were stratified by region and beta coefficients represent effects for blacks (referent: white) |
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|
Newby et al. Nutrition Journal 2012 11:25 doi:10.1186/1475-2891-11-25 |
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