Table 3.
Model 1a: Data From Pre and Postlegislation Periods |
Model 2b: Data From Postlegislation Period Only |
|||
---|---|---|---|---|
Odds Ratio (95% CI) | P c | Odds Ratio (95% CI) | P c | |
Post vs pre period | 1.46 (1.30-1.64) | <.001 | NA | |
Breast density | NA | |||
Entirely fatty | 0.76 (0.49-1.20) | .24 | ||
Scattered density | 1.00 (Reference) | — | ||
Heterogeneously dense | 2.08 (1.76-2.46) | <.001 | ||
Extremely dense | 2.77 (1.93-3.97) | <.001 | ||
Age (years) | ||||
42-44 | 2.25 (1.83-2.76) | <.001 | 2.47 (1.91-3.20) | <.001 |
45-49 | 1.76 (1.38-2.26) | <.001 | 1.88 (1.33-2.65) | <.001 |
50-54 | 1.57 (1.29-1.92) | <.001 | 1.52 (1.10-2.11) | 0.01 |
55-59 | 1.00 (Reference) | — | 1.00 (Reference) | — |
60-64 | 0.58 (0.43-0.78) | <.001 | 0.62 (0.46-0.84) | 0.002 |
65-69 | 0.45 (0.32-0.63) | <.001 | 0.48 (0.31-0.73) | <.001 |
70-74 | 0.25 (0.19-0.32) | <.001 | 0.28 (0.19-0.42) | <.001 |
Race | ||||
White | 1.00 (Reference) | — | 1.00 (Reference) | — |
Asian | 0.43 (0.37-0.53) | <.001 | 0.43 (0.33-0.56) | <.001 |
Black | 0.54 (0.42-0.69) | <.001 | 0.38 (0.24-0.62) | <.001 |
Hispanic | 0.61 (0.52-0.70) | <.001 | 0.60 (0.48-0.75) | <.001 |
Native American | 0.51 (0.15-1.67) | .26 | 0.85 (0.25-2.87) | .79 |
BMI (kg/m2) | ||||
<18.5 | 1.35 (0.81-2.25) | .26 | 1.07 (0.56-2.02) | .84 |
18.5-24.9 | 1.00 (Reference) | — | 1.00 (Reference) | — |
25-29.9 | 0.62 (0.55-0.70) | <.001 | 0.71 (0.60-0.85) | <.001 |
30-39.9 | 0.49 (0.40-0.60) | <.001 | 0.65 (0.51-0.83) | <.001 |
40+ | 0.18 (0.10-0.32) | <.001 | 0.18 (0.10-0.32) | <.001 |
Median incomed ($) | ||||
<30 000 | 0.87 (0.51-1.47) | .60 | 1.03 (0.54-1.97) | .92 |
30 000-<60 000 | 0.86 (0.63-1.17) | .33 | 0.77 (0.56-1.04) | .09 |
60 000-<90 000 | 1.00 (Reference) | — | 1.00 (Reference) | — |
90 000-<120 000 | 1.19 (1.07-1.34) | .002 | 1.13 (0.90-1.41) | .30 |
120 000+ | 1.49 (1.25-1.77) | <.001 | 1.35 (1.09-1.68) | .006 |
Abbreviations: MRI, magnetic resonance imaging; BMI, body mass index.
Logistic regression model adjusting for age, race, BMI, neighborhood median income, medical facility, and cancer history. Odds ratio estimates for medical facility and cancer history not shown.
Logistic regression model adjusting for breast density, age, race, BMI, neighborhood median income, medical facility, cancer history. Generalized estimating equation model allowed for nesting of individuals within medical facility. Odds ratio estimates for medical facility and cancer history not shown.
Values in boldface indicate statistical significance.
Median income = census block median family income.