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. Author manuscript; available in PMC: 2016 May 31.
Published in final edited form as: Cancer. 2015 Apr 27;121(12):2020–2028. doi: 10.1002/cncr.29120

TABLE 2.

Multivariate Logistic Regression for Predictors of Lack of Insurance Versus Non-Medicaid Insurance

OR 95% CI P
Age
 Continuous 0.99 0.99–0.99 <.001
Sex
 Male 1.31 1.28–1.34 <.001
 Female 1
Race
 White 1
 Black 1.52 1.47–1.57 <.001
 Hispanic 3.34 3.23–3.45 <.001
 Asian or Pacific Islander 2.01 1.91–2.11 <.001
 American Indian/Alaska Native 1.43 1.18–1.74 <.001
 Unknown 0.99 0.88–1.13 .93
Marital status
 Single 3.05 2.97–3.12 <.001
 Married 1
Percent of county below federal poverty level
 <10% 1
 10–12.99% 1.22 1.18–1.27 <.001
 13–16.49% 1.95 1.89–2.03 <.001
 ≥16.5% 1.61 1.55–1.68 <.001
Residence
 Urban 1
 Rural 1.66 1.61–1.72 <.001
Registries grouped by region
 Northeast 1
 South 1.20 1.16–1.25 <.001
 Midwest 0.72 0.69–0.75 <.001
 West/Hawaii 0.40 0.39–0.41 <.001
Year of diagnosis
 2007 1
 2008 0.98 0.95–1.01 .16
 2009 1.05 1.02–1.08 .006
 2010 1.09 1.06–1.13 <.001

Abbreviations: 95% CI, 95% confidence interval; OR, odds ratio.