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Table 3 Odds of triple negative breast cancer by age, race, insurance, and census tract ICE-Race, -Income, and -Race/Income

From: Racial disparities in triple negative breast cancer: toward a causal architecture approach

  Breast cancer patients
(N = 3316)
Univariate
OR, 95% CI
Multivariate
(ICE-Race)
AOR, 95% CI
Multivariate
(ICE-Income)
AOR, 95% CI
Multivariate
(ICE-Race/Income)
AOR, 95% CI
Age at diagnosisa 0.93 (0.89, 0.96)** 0.94 (0.91, 0.98)* 0.94 (0.90, 0.98)* 0.94 (0.91, 0.98)*
Race (ref = White)
 Black/African American 2.48 (2.01, 3.05)** 2.02 (1.59, 2.58)** 2.21 (1.77, 2.77)** 2.18 (1.72, 2.77)**
Insurance (ref = commercial)
 Medicaid/Noneb 1.29 (0.83, 1.95)
Census tract ICE-Race (ref = Q5)
 Q1 (most disadvantaged) 3.45 (2.41, 4.99)** 2.09 (1.40, 3.13)**
 Q2 2.12 (1.49, 3.06)** 1.65 (1.15, 2.41)*
 Q3 1.81 (1.27, 2.60)* 1.54 (1.08, 2.23)*
 Q4 1.86 (1.30, 2.69)** 1.76 (1.23, 2.54)*
Census tract ICE-Income (ref = Q5)
 Q1 (most disadvantaged) 1.90 (1.38, 2.61)** 1.33 (0.95, 1.87)
 Q2 1.68 (1.24, 2.27)** 1.36 (1.00, 1.86)
 Q3 1.15 (0.82, 1.60) 1.10 (0.78, 1.54)
 Q4 1.39 (1.04, 1.85)* 1.30 (0.97, 1.74)
Census tract ICE-Race/Income (ref = Q5)
 Q1 (most disadvantaged) 2.07 (1.49, 2.88)** 1.23 (0.85, 1.78)
 Q2 1.70 (1.26, 2.30)** 1.31 (0.96, 1.80)
 Q3 1.14 (0.82, 1.58) 1.07 (0.77, 1.48)
 Q4 1.13 (0.83, 1.54) 1.01 (0.74, 1.38)
  1. aOR and AORs correspond to 5-year increases in age
  2. bOR for insurance is from model that excludes patients age 65 and up and those with Medicare insurance in order to better model insurance as a proxy measure for socioeconomic status (N = 1691)
  3. *Significant at p < 0.05
  4. **Significant at p < 0.001