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. 2020 Jul 11;11(18):5449–5455. doi: 10.7150/jca.46088

Table 2.

Multivariate logistic regression analysis of association between socioeconomic factors and one-month postoperative mortality

Characteristic aOR 95% CI P
Race (versus NHW)
Minority 0.965 0.926-1.005 0.087
Marriage (versus Married)
Unmarried 1.516 1.462-1.573 <0.001
Insurance (versus Insured)
Medicaid/Uninsured 1.610 1.534-1.689 <0.001
Income (versus Top 50%)
Bottom 50% 1.122 1.053-1.196 <0.001
Education (versus Top 50%)
Bottom 50% 1.088 1.033-1.146 0.001
Residence (versus Metropolitan)
Rural 1.031 0.976-1.089 0.276
Unemployment (versus Bottom 50%)
Top 50% 0.977 0.937-1.018 0.264
Poverty (versus Bottom 50%)
Top 50% 1.085 1.026-1.147 0.004

Note: The ORs were adjusted by age (per one year), gender (male or female), SEER stage (localized, regional or distant); The greater the OR value, the greater the possibility of dying within one month after surgery; Due to missing data or uncommon classification of SEER stage, cancer sites of brain, larynx and prostate weren't included in the multivariable logistic analysis;

Abbreviations: NHW, non-Hispanic white; aOR, adjusted odds ratio; CI, confidence interval.