Table 3 Logistic regression main effects and interactions of neighborhood poverty and primary health insurer on early diagnosis of node negative breast cancer for Mexican American and non-Hispanic white women
Predictor Variables | Mexican American | Non-Hispanic White | |||||||
|---|---|---|---|---|---|---|---|---|---|
Sample | OR | (95% CI) | Sample | OR | (95% CI) | ||||
Neighborhood poverty | |||||||||
< 5% poor | 28 | 1.00 | 1,525 | 1.00 | |||||
5-29% poor | 77 | 1.07 | (0.40, 2.89) | 1,300 | 0.90 | (0.76, 1.07) | |||
> 30% poor | 198 | 0.66 | (0.26, 1.69) | 786 | 0.84 | (0.68, 1.04) | |||
Neighborhood Mexican American prevalence | |||||||||
< 50% | 133 | 1.00 | 3,338 | 1.00 | |||||
> 50% (Barrio) | 170 | 0.68 | (0.36, 1.27) | 273 | 0.99 | (0.74, 1.33) | |||
Primary health insurer | |||||||||
Uninsured or underinsureda | 115 | 1.00 | 433 | 1.00 | |||||
Adequately insuredb | 188 | 0.87 | (0.44, 1.73) | 3,178 | 1.72 | (1.31, 2.27) | |||
Poverty by barrio by insurer | Poverty by insurer | ||||||||
Significant interactions | 303 | 2.33 * | (0.94, 5.82) | 3,611 | 1.61 | (1.07, 2.42) | |||
Poverty by insurer interaction for non-Hispanic white women | |||||||||
< 5% poor | > 5% poor | ||||||||
Predictor Variables | Sample | OR | (95% CI) | Sample | OR | (95% CI) | |||
Primary health insurer | |||||||||
Uninsured or Medicaid | 129 | 1.00 | 304 | 1.00 | |||||
Private or Medicare | 1,396 | 1.75 | (1.20, 2.57) | 1,782 | 1.29 * | (0.99, 1.67) | |||
Poverty by barrio by insurer interaction for Mexican American women | |||||||||
> 30% poor | |||||||||
< 30% poor | < 50% Mexican American | > 50% Mexican American | |||||||
Sample | OR | (95% CI) | Sample | OR | (95% CI) | Sample | OR | (95% CI) | |
Primary health insurer | |||||||||
Uninsured/Medicare | 30 | 1.00 | 32 | 1.00 | 53 | 1.00 | |||
Private/Medicaid | 75 | 1.45 | (0.58, 3.60) | 33 | 0.69 | (0.22, 2.11) | 80 | 2.09 * | (0.96, 4.58) |