Table 1:
Range | NHWhite (N=388 ) | NHBlack (N=398 ) | P valueb | |
---|---|---|---|---|
Outcome | ||||
5-Year Mortality (%) | 4 | 12 | <0.001 | |
Mean time to breast cancer death (Years) | 0.51– 4.86 | 2.91 (1.36) | 2.77 (1.33) | 0.09 |
Macro-Social Factors | ||||
Concentrated Disadvantage Quintiles (%) | −3.86 – 17.72 | <0.001 | ||
1st | 40 | 2 | ||
2nd | 33 | 6 | ||
3rd | 21 | 20 | ||
4th | 6 | 33 | ||
5th (greatest disadvantage) | 1 | 38 | ||
Mean Neighborhood Social Disorder | 1–4 | 1.77 (0.54) | 2.2 4 (0.71) | <0.001 |
Social Network Factors | ||||
Number of Network Members | 0 – 5 | 4.18 (1.30) | 3.93 (1.46) | 0.05 |
0 | 2.6 | 4.02 | ||
1 | 3.9 | 4.8 | ||
2 | 5.9 | 9.3 | ||
3 | 10.8 | 12.8 | ||
4 | 14.2 | 13.8 | ||
5 | 62.6 | 55.3 | ||
Mean Network Density | 0 – 10 | 3.73 (3.14) | 6.58 (3.40) | <0.001 |
Mean Spatial Proximity of Network (miles) | 0 – 757 | 171.22 (235.57) | 85.89 (161.34) | <0.001 |
Married (%) | 49 | 30 | <0.001 | |
Mean Unmet Support Measures | ||||
Emotional | −3 – 3 | −0.72 ((0.91) | −0.68 (1.14) | 0.74 |
Spiritual | −3 – 3 | −0.22 (0.95) | −0.21 (0.95) | 0.92 |
Practical | −3 – 3 | −0.56 (0.96) | −0.31 (1.13) | 0.001 |
Financial | −3 – 3 | 0.02 (1.07) | 0.50 (1.38) | <0.001 |
Informational | −3 – 3 | −0.55 (1.03) | −0.43 (1.20) | 0.13 |
Individual Factors | ||||
Demographic | ||||
Mean Age (years) | 28 – 79 | 55.96 (11.19) | 56.93 (11.29) | 0.19 |
Mean SES Score | −2.67 – 2.20 | 0.51 (0.78) | −0.2 (0.58) | <0.001 |
Health/Clinical | ||||
% with Private Health Insurance | 90 | 58 | <0.001 | |
Mean Number of Comorbidities | 0 – 6 | 0.52 (0.90) | 0.91 (1.10) | <0.001 |
% with Late Stage Cancer | 36 | 48 | 0.002 | |
% with Adjuvant Therapy | 88 | 86 | 0.19 | |
% Radiation Therapy Initiated | 62 | 53 | 0.01 | |
% Chemotherapy Initiated | 36 | 51 | <0.001 | |
% Hormone Therapy Initiated | 49 | 37 | <0.001 |
For all continuous variables, standard deviations are provided in parenthesis next to the mean.
P-values test for NHWhite vs. NHBlack differences. For binary variables P-values are based on logistic regression and for continuous variables P-values are based on OLS regression. P- values for concentrated disadvantage quintiles are based on ordinal logit models and P-values for network members and number of comorbidities are based on Poisson regression.