. Author manuscript; available in PMC: 2020 Oct 6.

Published in final edited form as: Eur J Nutr. 2019 Apr 6;59(3):965–977. doi: 10.1007/s00394-019-01956-z

Table 4.

Sensitivity analyses of multivariable-adjusted HRs and 95% CIs of all-cause mortality in relation to post-cancer diagnosis E-DII scores among colorectal cancer subjects in the WHI-DM and OS, Women’s Health Initiative, 1993–2015.

	Most anti-inflammatory diet E-DII tertile 1 (−6.80, −3.91)	E-DII tertile 2 (−3.90, −2.09)	Most pro-inflammatory diet E-DII tertile 3 (−2.08, 3.25)	P-non linearity^a	P-trend^b
Sensitivity analysis of excluding DM-intervention arm
*E-DII from diet plus supplements*
Number of deaths/total	31/113	47/117	46/123
Multivariable-adjusted HR (95% CI) ^c	0.74 (0.43–1.28)	1.35 (0.84–2.18)	1.00 (reference)	0.01	NA
*E-DII from diet only*
Number of deaths/total	35/115	44/110	45/128
Multivariable-adjusted HR (95% CI) ^d	0.90 (0.54–1.49)	1.05 (0.66–1.68)	1.00 (reference)	0.35	0.96
Sensitivity analysis of excluding participants whose FFQs completed within 6 month of cancer diagnosis
*E-DII from diet plus supplements*
Number of deaths/total	31/129	44/122	51/123
Multivariable-adjusted HR (95% CI) ^c	0.40 (0.24–0.67)	0.76 (0.47–1.24)	1.00 (reference)	0.002	NA
*E-DII from diet only*
Number of deaths/total	32/128	42/120	48/126
Multivariable-adjusted HR (95% CI) ^d	0.66 (0.40–1.07)	0.89 (0.55–1.42)	1.00 (reference)	0.14	0.19

^a.

P-non linearity was assessed using the restricted cubic spline function within the Cox proportional hazards regression model where three knots at 5^th, 50^th and 95^th percentile of the exposure variable were added. A significant P-non linearity value indicates the relationship is not linear.

^b.

P-trend was calculated by using continuous E-DII variable in the Cox proportional hazards model if the linear relationship assessed with restricted cubic spline held, otherwise, NA was reported.

^c.

Model was adjusted for WHI components, age group at baseline, race/ethnicity, smoking status at baseline, income levels, cancer stage, education, years from cancer diagnosis to FFQ, baseline physical activity in MET-h/week, total energy intake per day, body mass index at baseline, cancer differentiation grading, with the covariate of time-dependent status before and after post-diagnosis FFQ in the model.

^d.

Model was adjusted for all variables in c and also dietary supplement intake