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.