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. 2023 Jul 12;115(11):1420–1426. doi: 10.1093/jnci/djad137

Table 2.

Associations between risk/protective factors and ovarian cancer that differed by menopausal status among women aged 45-54 years

Risk/protective factor All women aged 45-54 years (pre- and postmenopausal combined)
Premenopausal women aged 45-54 years
Postmenopausal women aged 45-54 years
Case participants,a No. Control participants,a No. ORb (95% CI) Case participants,a No. Control participants,a No. ORb(95% CI) Case participants,a No. Control participants,a No. ORb (95% CI) P- interaction c Interaction criteria metd
Breastfeeding
 Never 1212 1278 1.0 693 763 1.0 519 515 1.0
 <12 months 551 978 0.76 (0.64 to 0.89) 327 595 0.78 (0.62 to 0.98) 224 383 0.71 (0.55 to 0.92)
 ≥12 months 397 998 0.59 (0.49 to 0.72) 240 706 0.53 (0.42 to 0.68) 157 292 0.69 (0.51 to 0.94) .064 (b), (c), (d)
Depot-medroxyprogesterone acetate use
 No 1886 2793 1.0 1109 1793 1.0 777 1000 1.0
 Yes 21 76 0.61 (0.36 to 1.02) 10 52 0.51 (0.26 to 1.00) 11 24 0.80 (0.38 to 1.69) .35 (b), (c), (d)
First-degree family history of ovarian cancer
 No 1610 2548 1.0 943 1633 1.0 667 915 1.0
 Yes 119 87 2.15 (1.56 to 2.97) 69 48 2.43 (1.58 to 3.73) 50 39 1.83 (1.15 to 2.91) .39 (b), (c), (d)
Endometriosis
 No 1889 3058 1.0 1128 1981 1.0 761 1077 1.0
 Yes 269 255 1.60 (1.32 to 1.95) 135 123 1.94 (1.47 to 2.57) 134 132 1.33 (1.00 to 1.76) .041 (a), (b), (c), (d)
a

Numbers may not sum to total because of missing values. CI = confidence interval; OR = odds ratio.

b

Pooled estimates from logistic regression models in the 50 imputed datasets, adjusted for age at diagnosis for cases/reference age for controls (45-49 years vs 50-54 years), race/ethnicity, education level, and Ovarian Cancer Association Consortium study.

c

P value for interaction between risk or protective factor and menopausal status using the likelihood ratio test.

d

Criteria to assess interactions: (a) P < .05 for interaction; (b) odds ratios of a factor across the levels of the other factor are consistent, and the differences in magnitude are large; (c) the interaction is biologically plausible; and (d) the prevalence of the risk factors is large enough so that the interaction would have a meaningful impact on the risk stratification model.