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. 2008 Nov 26;169(3):355–364. doi: 10.1093/aje/kwn355

Table 5.

Race-Stratified Multivariable Logistic Regression Model of Anemia Correlates in the REGARDS Renal Ancillary Study,a United States, 2003–2007

Black (n = 6,733)
White (n = 10,005)
OR 95% CI OR 95% CI
Demographic variables
    Age (per 10 years)b 1.19 1.11, 1.27 1.32 1.21, 1.44
    Female gender 1.00 0.87, 1.15 0.92 0.78, 1.09
    Living in the stroke beltc vs. other region 1.23 1.08, 1.40 1.19 1.01, 1.40
Socioeconomic variables
    Education less than high school 1.20 1.02, 1.42 0.98 0.73, 1.31
    Annual income
        <$25,000 1.25 1.03, 1.51 1.01 0.78, 1.31
        $25,000–$75,000 1.20 1.02, 1.42 1.14 0.95, 1.37
        >$75,000d 1.00 1.00
Medical conditions
    Vascular diseaseb 1.19 1.02, 1.39 1.38 1.16, 1.65
    Diabetesb 1.78 1.57, 2.03 2.86 2.37, 3.44
    Hypertension 1.16 1.00, 1.34 1.13 0.95, 1.34
    Ever smoker 0.71 0.63, 0.81 0.86 0.73, 1.01
    Body mass index (per 5 kg/m2) 1.00 0.99, 1.01 0.97 0.96, 0.99
Anemia category
    Chronic renal insufficiency 3.24 2.69, 3.89 4.03 3.36, 4.83
    Inflammation 1.55 1.31, 1.84 2.13 1.66, 2.73
    Microcytosis 3.97 3.31, 4.76 25.62 17.54, 37.40

Abbreviations: CI, confidence interval; OR, odds ratio; REGARDS, REasons for Geographic And Racial Differences in Stroke.

a

All factors listed in this table were included in the model. Variables are defined in the Materials and Methods section of the text.

b

Interaction terms between race and age, vascular disease, and diabetes were 0.046, 0.018, and 0.0004, respectively. Other interaction-term P values were >0.05.

c

North Carolina, South Carolina, Georgia, Tennessee, Alabama, Mississippi, Arkansas, Louisiana.

d

Reference category.