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. 2015 Jul;105(Suppl 3):S517–S525. doi: 10.2105/AJPH.2015.302668

TABLE 3—

Adjusted Logistic Regression Model of Insurance-Based Discrimination by Insurance Type, Controlling for Respondents’ Characteristics and Health Status: 2013 Minnesota Health Access Survey

Characteristic Insurance-Based Discrimination, OR (95% CI)
Insurance type
 Uninsured 5.75*** (3.19, 10.37)
 Public insurance 4.40*** (2.58, 7.52)
 Private insurance (Ref) 1.00
Race/ethnicity
 Hispanic Latino 0.38 (0.14, 1.08)
 Non-Hispanic African American 2.20** (1.25, 3.88)
 Non-Hispanic American Indian 1.26 (0.51, 3.14)
 Non-Hispanic Asian 0.86 (0.28, 2.64)
 Non-Hispanic other and multiple races 0.66 (0.23, 1.90)
 Non-Hispanic White (Ref) 1.00
Country of birth
 Non–US-born 1.66 (0.81, 3.38)
 US-born (Ref) 1.00
Age, y
 18–25 0.56 (0.24, 1.29)
 26–45 1.54 (0.96, 2.47)
 46–64 (Ref) 1.00
Family income, % of federal poverty guideline
 < 138 3.68** (1.69, 8.06)
 138–400 2.38* (1.21, 4.69)
 > 400 (Ref) 1.00
Education
 ≤ high school 0.89 (0.47, 1.70)
 Some college 1.33 (0.77, 2.30)
 ≥ college degree (Ref) 1.00
Marital status
 Unmarried 1.22 (0.78, 1.90)
 Married (Ref) 1.00
Employment status
 Unemployed 0.85 (0.53, 1.35)
 Employed (Ref) 1.00
Health status
 Fair or poor 2.09** (1.34, 3.26)
 Excellent, very good, or good (Ref) 1.00

Note. CI = confidence interval; OR = odds ratio. Data from the 2013 Minnesota Health Access Survey were restricted to adults aged 18–64 y who reported about their own experiences of insurance-based discrimination. Data were weighted to represent the state’s population. Variables that showed significant differences in the Pearson χ2 test were included in the adjusted model.

*P < .05; **P < .01; ***P < .001.