Table 3 Pooled hazard ratios for the association between the empirical dietary inflammatory pattern (EDIP) and incident epithelial ovarian cancer by histologic subtype and tumour aggressiveness in the NHS and NHS-II^a^,^b^,^c

	EDIP quintiles
Ovarian cancer subtype	Quintile 1	Quintile 2	Quintile 3	Quintile 4	Quintile 5	P -trend ^d	P -heterogeneity ^e
Serous and poorly differentiated (n cases=637)	1.00	0.99 (0.78, 1.26)	1.16 (0.92, 1.47)	1.00 (0.78, 1.29)	0.98 (0.74, 1.28)	0.78	0.52
Non-serous (n cases=244)	1.00	0.76 (0.51, 1.13	0.83 (0.56, 1.23)	0.89 (0.60, 1.32)	0.97 (0.64, 1.42)	0.85
Rapidly fatal^f (n cases=330)	1.00	0.86 (0.62, 1.19)	0.89 (0.64, 1.24)	1.04 (0.75 1.45)	0.91 (0.63, 1.32)	0.72	0.63
Less aggressive^f (n cases=476)	1.00	0.96 (0.73, 1.28)	1.18 (0.90, 1.55)	1.02 (0.76, 1.37)	1.10 (0.82, 1.49)	0.62

Abbreviations: NHS=Nurses’ Health Study; NHS-II=Nurses’ Health Study-II.
^aEDIP scores were adjusted for energy intake using the residual method. In the EDIP quintiles, lower EDIP scores indicate anti-inflammatory diets and higher scores, pro-inflammatory diets.
^bEDIP quintiles were based on the distribution in the pooled study population.
^cCox proportional hazards models were used for all analyses. Analyses were stratified by age, cohort, and calendar time, and were adjusted for parity, duration of breastfeeding, family history of breast cancer or ovarian cancer, duration of oral contraceptive use, menopausal status, postmenopausal hormone duration and type, tubal ligation, hysterectomy, and body mass index.
^dContinuous residual-adjusted EDIP scores were used to test for linear trend across EDIP quartiles, adjusted for all covariates previously listed.
^eA likelihood test was used for the test of heterogeneity in risk by ovarian cancer subtype/aggressiveness.
^fDeath due to ovarian cancer within 3 years of diagnosis vs not.

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