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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