Table 3:
County-Level Characteristics Comparisons by Breast Cancer Mortality Hot Spot Category, Among All Women 2000 – 2015.
| Hot Spota (N = 80) |
Non-Significant (N = 3,028) |
P valueb | ρc | |
|---|---|---|---|---|
| Presented as Median (IQR)d |
||||
| Race | ||||
| % NH-White | 65.7 (41.4 – 94.2) | 85.9 (67.6 – 94.0) | <0.001 | −0.07 |
| % NH-Black | 27.8 (2.4 – 52.5) | 1.9 (0.5 – 9.4) | <0.001 | 0.14 |
| % Hispanic | 1.8 (1.2 – 3.1) | 3.5 (1.7 – 8.8) | <0.001 | −0.11 |
| % Female Sex | 51.1 (49.6 – 52.1) | 50.4 (49.5 – 51.1) | <0.001 | 0.06 |
| % Age | ||||
| <18 | 22.0 (20.0 – 24.2) | 22.9 (20.9 – 24.6) | 0.05 | −0.04 |
| 18 – 29 | 13.9 (12.7 – 15.1) | 14.0 (12.3 – 16.0) | 0.77 | −0.01 |
| 30 – 44 | 17.5 (16.4 – 18.4) | 17.7 (16.3 – 19.0) | 0.26 | −0.02 |
| 45 – 64 | 28.8 (27.0 – 29.9) | 28.0 (26.3 – 29.6) | 0.10 | 0.03 |
| 65 – 79 | 12.9 (11.5 – 14.5) | 12.1 (10.3 – 13.9) | 0.005 | 0.05 |
| 80+ | 4.4 (3.8 – 5.1) | 4.2 (3.4 – 5.2) | 0.09 | 0.03 |
| % Completed college | 13.7 (12.1 – 17.2) | 18.0 (14.0 – 23.9) | <0.001 | −0.11 |
| % Household income <$20,000 | 27.8 (23.3 – 34.5) | 20.5 (16.4 – 25.4) | <0.001 | 0.14 |
| County-level characteristics | ||||
| % Obesity | 33.9 (31.4 – 36.9) | 30.6 (28.3 – 33.1) | <0.001 | 0.12 |
| % Smoking | 22.6 (20.2 – 26.5) | 19.4 (14.4 – 24.1) | <0.001 | 0.09 |
| % Could not see doctor due to cost | 17.1 (13.2 ––21.5) | 12.6 (5.0 – 17.4) | <0.001 | 0.09 |
| % Limited access to healthy foods | 6.3 (3.4 – 12.0) | 6.1 (3.4 – 10.2) | 0.36 | 0.02 |
| % Mammography screening | 58.0 (51.6 – 63.0) | 61.4 (55.9 – 66.7) | 0.003 | −0.05 |
| % Physical inactivity | 33.1 (29.4 – 34.6) | 28.1 (24.5 – 31.2) | <0.001 | 0.13 |
| % Unemployment | 9.4 (7.7 – 11.3) | 7.5 (5.7 – 9.3) | <0.001 | 0.11 |
| % Uninsured | 23.0 (20.1 – 26.0) | 21.4 (16.8 – 26.1) | 0.02 | 0.04 |
| PCPe per 10,000 persons | 4.3 (2.5 – 6.0) | 4.9 (3.1 – 7.0) | 0.02 | −0.04 |
| Non-Urban | 68.8 (50.8 – 88.4) | 59.1 (32.9 – 87.0) | 0.006 | 0.05 |
Defined as counties estimated as a hot spot by all three geospatial methods (local indicators of spatial association, empirical Bayes, and Gi*).
Significance determined using Wilcoxon test, p values <0.05.
Spearman correlation with being a county-level breast cancer mortality hot spot.
IQR = interquartile range.
PCP = Primary care physicians