Table 2:
Comparison of Breast Cancer Mortality Geospatial Hot Spota by Counties within United States Region, stratified by race/ethnicity years 2000 – 2015.
| Midwest Countiesb (N = 1,055) |
Northeast Counties b (N = 217) |
Southern Countiesb (N = 1,422) |
Western Counties b (N = 414) |
Total (N = 3108) |
P valuec |
||
|---|---|---|---|---|---|---|---|
| Presented as N (%)d | N (%)e | ||||||
| Among All Women | |||||||
| Breast Cancer Hot Spota | 18 (22.50) | 4 (5.00) | 58 (72.50) | 0 (0.0) | 80 (2.57) | <0.001 | |
| LISA High-High Cluster | 87 (37.66) | 29 (12.55) | 112 (48.48) | 3 (1.3) | 231 (7.43) | <0.001 | |
| EB 5thQuintile | 279 (44.87) | 42 (6.75) | 260 (41.80) | 41 (6.59) | 622 (20.01) | <0.001 | |
| Gi* Hot spot | 69 (19.49) | 15 (4.24) | 268 (75.71) | 2 (0.56) | 354 (11.39) | <0.001 | |
|
Among NH-Black Women | |||||||
| Breast Cancer Hot Spota | 1 (0.84) | 1 (0.84) | 117 (98.32) | 0 (0.0) | 119 (3.83) | <0.001 | |
| LISA High-High Cluster | 1 (0.69) | 1 (0.69) | 143 (98.62) | 0 (0.0) | 145 (4.67) | <0.001 | |
| EB 5th Quintile | 104 (16.72) | 35 (5.63) | 473 (76.05) | 10 (1.61) | 622 (20.01) | <0.001 | |
| Gi* Hot Spot | 26 (5.15) | 49 (9.70) | 412 (81.58) | 18 (3.56) | 505 (16.25) | <0.001 | |
|
Among Hispanic Women | |||||||
| Breast Cancer Hot Spota | 0 (0.0) | 4 (4.82) | 51 (61.45) | 28 (33.73) | 83 (2.67) | <0.001 | |
| LISA High-High Cluster | 2 (1.68) | 4 (3.36) | 63 (52.94) | 50 (42.02) | 119 (3.83) | <0.001 | |
| EB 5th Quintile | 98 (15.76) | 89 (14.31) | 257 (41.32) | 178 (28.62) | 622 (20.01) | <0.001 | |
| Gi* Hot Spot | 16 (5.59) | 51 (17.83) | 110 (38.46) | 109 (38.11) | 286 (9.20) | <0.001 | |
|
Among NH-White Women | |||||||
| Breast Cancer Hot Spota | 13 (22.81) | 27 (47.37) | 13 (22.81) | 4 (7.02) | 57 (1.83) | <0.001 | |
| LISA High-High Cluster | 68 (35.98) | 37 (19.58) | 62 (32.80) | 22 (11.64) | 189 (6.08) | <0.001 | |
| EB 5th Quintile | 261 (41.96) | 45 (7.23) | 234 (37.62) | 82 (13.18) | 622 (20.01) | <0.001 | |
| Gi* Hot Spot | 144 (41.62) | 43 (12.43) | 136 (39.31) | 23 (6.65) | 346 (11.13) | <0.001 | |
Defined as counties estimated as a hot spot by all three geospatial methods (local indicators of spatial association, empirical Bayes, and Gi*).
EB = empirical Bayes.
US regions as determined by the US Census Bureau.
Midwest counties are in the states of IN, IL, IA, MI, MN, MO, NE, ND, OH, SD, and WI.
Northeast counties are in the states of CT, ME, NH, NJ, NY, PA, RI, and VT.
Southern counties are in the states of AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, and WV.
Western counties are in the states of AZ, CA, CO, ID, MT, NM, NV, OR, UT, WA, and WY.
p values determined using chi-square or Fisher’s exact tests (exact p values calculated using Monte Carlo estimation).
Denotes row percentages.
Denotes column percentages.