Table 2.
Model | Variable(s) | HR of breast cancer recurrence or death (95% CI) | HR of death (95% CI) | HR of death from breast cancer (95% CI) |
1 | Black race | 1.66 (1.25 to 2.21); P < .001 | 1.64 (1.15 to 2.33); P = .006 | 1.81 (1.23 to 2.68); P = .003 |
2 | Obesity (BMI ≥ 30 kg/m2) | 1.24 (1.08 to 1.49); P = .0032 | 1.40 (1.15 to 1.69); P < .001 | 1.45 (1.16 to 1.82); P = .0012 |
3 | Black race | 1.58 (1.18 to 2.11); P = .0021 | 1.51 (1.05 to 2.16); P = .025 | 1.65 (1.11 to 2.46); P = .013 |
Obesity | 1.22 (1.04 to 1.44); P = .0141 | 1.35 (1.11 to 1.64); P = .003 | 1.39 (1.11 to 1.75); P = .005 | |
4 | Black race–obesity interaction: Black race vs other and BMI ≥30 kg/m2 | 1.19 (0.80 to 1.77); P = .3815 | 1.07 (0.65 to 1.74); P = .800 | 1.17 (0.68 to 2.01); P = .562 |
Black race vs other and BMI <30 kg/m2 | 2.38 (1.57 to 3.60); P < .001 | 2.59 (1.56 to 4.32); P < .001 | 2.85 (1.61 to 5.02); P < .001 |
Other variables in these models include age (<50 vs ≥50 y), number of positive lymph nodes (0 [reference] vs 1–3 vs ≥4), tumor size (≤2 vs >2 cm), surgery (breast-sparing vs mastectomy), and type of hormone therapy used. Hormone therapy was coded as a time-varying variable, and all other variables were coded as time-fixed variables. All P values are two-sided. BMI = body mass index.