Table 3.

Sequential Multiple Mediation^a of the Effect of Race on Ovarian Cancer Survival using a multiple mediator method¹¹

Stepb	Mediator(s) Added	Individual IE HRc	Cumulative IE HRd	Direct Effect HRe	Total Effect HRf	% Mediatedg	Individual % Mediatedh
1	College	1.00 (0.99, 1.01)	1.00 (0.99, 1.01)	1.21 (1.05, 1.40)	1.21 (1.05, 1.40)	−0.1 (1.9)	−0.1 (1.9)
2	Nulliparity	1.01 (1.00, 1.02)	1.01 (1.00, 1.02)	1.20 (1.04, 1.39)	1.21 (1.05, 1.40)	3.9 (4.3)	4.1 (4.0)
3	Smoking	1.00 (0.99, 1.01)	1.01 (1.00, 1.02)	1.20 (1.04, 1.38)	1.20 (1.05, 1.39)	3.5 (4.6)	−0.6 (2.2)
4	BMI	1.02 (1.00, 1.04)	1.02 (1.00, 1.05)	1.17 (1.01, 1.35)	1.19 (1.04, 1.38)	12.2 (12.9)	9.0 (10.2)
	Diabetes
	Diabetes/Race Interaction
5	PMH Duration	1.03 (1.01, 1.05)	1.05 (1.02, 1.09)	1.13 (0.98, 1.32)	1.19 (1.03, 1.39)	28.8 (22.3)	15.2 (13.5)
	PMH Duration/Race Interaction
	PMH Duration/Age Interaction
6	Histotype	1.04 (1.00, 1.09)	1.11 (1.05, 1.18)	1.13 (0.98, 1.32)	1.26 (1.09, 1.47)	46.7 (23.8)	18.5 (13.5)
	Stage

BMI: body mass index; CI: Confidence Interval; HR: hazard ratio; IE: indirect effect; PMH; post-menopausal hormone.

^aConfounders adjusted for in the model include year of diagnosis, age at diagnosis, site, and area deprivation index (ADI).

Bold numbers reflect statistically significant values.

^bSequential order in which the selected mediators were added to the model. Model also includes variables in all preceding steps.

^cIndividual indirect effect is the indirect effect of the new variable(s) added into each step.

^dThe cumulative indirect effect is the cumulative indirect effect of the variables selected as mediators in a given step and all preceding steps.

^eThe direct effect is the remaining direct effect through all other non-mediated pathways.

^fTotal effect is calculated as log(Indirect Effect HR) + log(Direct Effect HR).

^gPercent (%) mediated is calculated as log(indirect effect HR)/log(total effect HR).

^hIndividual (%) mediated is calculated as log(individual indirect effect HR)/log(total effect HR).