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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

From: Health insurance mediation of the Mexican American non-Hispanic white disparity on early breast cancer diagnosis

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)
  1. Notes: All effects were adjusted for age, grade and all other main and interaction effects. Adjustment of the MA regression model for birthplace made no practical difference in findings.
  2. a Uninsured or Medicare for MA women and uninsured or Medicaid for NHW women.
  3. b Private insurance or Medicaid for MA women and private insurance or Medicare for NHW women.
  4. *p < .10.