Table 5

Mediation analysis to determine if insurance status is a significant mediator between SES and CRC survival

SES GroupCox multivariable regressionaCox multivariable regression with insuranceb (2 levels, uninsured + Medicaid vs. insured) addedCox multivariable regression with insuranceb (2 levels, uninsured vs. insured) addedCox multivariable regression with insuranceb (2 levels, no private vs. private insurance) added
Hazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-p
<.0001<.0001<.0001<.0001
Low1.35 (1.26–1.46)1.27 (1.18–1.36)1.33 (1.24–1.43)1.24 (1.15–1.33)
Mid-Low1.29 (1.20–1.38)1.24 (1.16–1.33)1.28 (1.20–1.37)1.22 (1.14–1.31)
Mid-high1.15 (1.07–1.23)1.13 (1.05–1.20)1.14 (1.07–1.22)1.11 (1.04–1.19)
Highreferencereferencereferencereference
SES GroupCox multivariable regressionaCox multivariable regression with insuranceb (2 levels, uninsured + Medicaid vs. insured) addedCox multivariable regression with insuranceb (2 levels, uninsured vs. insured) addedCox multivariable regression with insuranceb (2 levels, no private vs. private insurance) added
Hazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-p
<.0001<.0001<.0001<.0001
Low1.35 (1.26–1.46)1.27 (1.18–1.36)1.33 (1.24–1.43)1.24 (1.15–1.33)
Mid-Low1.29 (1.20–1.38)1.24 (1.16–1.33)1.28 (1.20–1.37)1.22 (1.14–1.31)
Mid-high1.15 (1.07–1.23)1.13 (1.05–1.20)1.14 (1.07–1.22)1.11 (1.04–1.19)
Highreferencereferencereferencereference
Causal mediation analysisc with insurance (2 levels, uninsured + Medicaid vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, uninsured vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, no private vs private insurance) as the mediator
Percentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep value
19.45 (11.83–27.06)<.00015.10 (2.14–8.07).000731.19 (20.95–41.44)<.0001
Causal mediation analysisc with insurance (2 levels, uninsured + Medicaid vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, uninsured vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, no private vs private insurance) as the mediator
Percentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep value
19.45 (11.83–27.06)<.00015.10 (2.14–8.07).000731.19 (20.95–41.44)<.0001

aThe outcome of the model was survival time. The exposure was SES.

The confounders were age, sex, race, ethnicity, stage of diagnosis, grade, side of tumor, surgery of the primary tumor, chemotherapy, comorbidity, and area of living.

bInsurance was added to the model to test its mediation effect.

cCausal mediation analysis was performed to study if insurance is a significant mediator for the effect of SES on survival status (alive, death) when the confounders were adjusted.

Table 5

Mediation analysis to determine if insurance status is a significant mediator between SES and CRC survival

SES GroupCox multivariable regressionaCox multivariable regression with insuranceb (2 levels, uninsured + Medicaid vs. insured) addedCox multivariable regression with insuranceb (2 levels, uninsured vs. insured) addedCox multivariable regression with insuranceb (2 levels, no private vs. private insurance) added
Hazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-p
<.0001<.0001<.0001<.0001
Low1.35 (1.26–1.46)1.27 (1.18–1.36)1.33 (1.24–1.43)1.24 (1.15–1.33)
Mid-Low1.29 (1.20–1.38)1.24 (1.16–1.33)1.28 (1.20–1.37)1.22 (1.14–1.31)
Mid-high1.15 (1.07–1.23)1.13 (1.05–1.20)1.14 (1.07–1.22)1.11 (1.04–1.19)
Highreferencereferencereferencereference
SES GroupCox multivariable regressionaCox multivariable regression with insuranceb (2 levels, uninsured + Medicaid vs. insured) addedCox multivariable regression with insuranceb (2 levels, uninsured vs. insured) addedCox multivariable regression with insuranceb (2 levels, no private vs. private insurance) added
Hazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-pHazard Ratio (95% CI)FDR-p
<.0001<.0001<.0001<.0001
Low1.35 (1.26–1.46)1.27 (1.18–1.36)1.33 (1.24–1.43)1.24 (1.15–1.33)
Mid-Low1.29 (1.20–1.38)1.24 (1.16–1.33)1.28 (1.20–1.37)1.22 (1.14–1.31)
Mid-high1.15 (1.07–1.23)1.13 (1.05–1.20)1.14 (1.07–1.22)1.11 (1.04–1.19)
Highreferencereferencereferencereference
Causal mediation analysisc with insurance (2 levels, uninsured + Medicaid vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, uninsured vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, no private vs private insurance) as the mediator
Percentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep value
19.45 (11.83–27.06)<.00015.10 (2.14–8.07).000731.19 (20.95–41.44)<.0001
Causal mediation analysisc with insurance (2 levels, uninsured + Medicaid vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, uninsured vs insured) as the mediatorCausal mediation analysisc with insurance (2 levels, no private vs private insurance) as the mediator
Percentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep valuePercentage (95% CI) of SES effect mediated by insurancep value
19.45 (11.83–27.06)<.00015.10 (2.14–8.07).000731.19 (20.95–41.44)<.0001

aThe outcome of the model was survival time. The exposure was SES.

The confounders were age, sex, race, ethnicity, stage of diagnosis, grade, side of tumor, surgery of the primary tumor, chemotherapy, comorbidity, and area of living.

bInsurance was added to the model to test its mediation effect.

cCausal mediation analysis was performed to study if insurance is a significant mediator for the effect of SES on survival status (alive, death) when the confounders were adjusted.

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