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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2017 Mar 21;26(4):516–524. doi: 10.1158/1055-9965.EPI-16-0926

Table 3.

Patient race-specific survival models controlling for the effects of ZCTA poverty and patient age and stage. Bolded indicates significance at 95% confidence.

Model 3.1: Local Isolation Model 3.2: LQ

All Cause Breast Ca. Specific All Cause Breast Ca. Specific
HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI)

White Patients (n = 7164)

Black Segregation 0.99 (0.97,1.02) 0.98 (0.95,1.01) 0.86 (0.59,1.24) 0.69 (0.39,1.20)
Hispanic Segregation 1.04 (1.00,1.08) 1.04 (0.98,1.09) 1.43 (0.96,2.14) 1.47 (0.84,2.57)

Black Patients (n = 940)

Black Segregation 0.91 (0.85,0.98) 0.91 (0.83,1.00) 0.37 (0.14,0.92) 0.35 (0.11,1.11)
Hispanic Segregation 0.98 (0.86,1.11) 0.91 (0.78,1.07) 0.88 (0.21,3.80) 0.49 (0.08,3.07)

Hispanic Patients (n = 252)

Black Segregation 1.12 (0.92,1.35) 1.16 (0.93,1.44) 3.52 (0.24,52.0) 3.70 (0.21,66.4)
Hispanic Segregation 1.02 (0.83,1.25) 1.04 (0.83,1.30) 1.08 (0.16,7.43) 1.20 (0.15,9.58)

indicates p < 0.10.

Note: segregation hazard ratio magnitude cannot be directly compared across isolation and LQ models, due to differences in unit definition.