Skip to main content
. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2017 Nov 15;27(2):174–182. doi: 10.1158/1055-9965.EPI-17-0655

Table 2.

Multivariable1 odds ratios (OR) and 95% confidence intervals (95% CI) for the association between menstrual cycle characteristics and polycystic ovary syndrome and ovarian cancer by histologic subtype


Irregular Cycles Menstrual cycle length > 35 days Polycystic ovary syndrome
Cases (n) OR (95% CI) Cases (n) OR (95% CI) Cases (n) OR (95% CI)
Borderline
 Serous 1424 1.34 (1.16-1.55) 1252 1.18 (0.87-1.59) 1298 1.28 (0.84-1.96)
 Mucinous 985 1.21 (1.02-1.43) 898 0.63 (0.41-0.98) 867 0.51 (0.24-1.10)
Invasive
 Low grade serous 881 1.00 (0.81-1.25) 770 0.48 (0.25-0.92) 310 1.07 (0.43-2.66)
 High grade serous 5216 0.86 (0.78-0.95) 4357 0.62 (0.48-0.80) 4588 0.88 (0.62-1.26)
 Mucinous 840 0.95 (0.78-1.16) 763 0.38 (0.19-0.76) 530 0.61 (0.22-1.66)
 Endometrioid 1749 0.84 (0.72-0.98) 1648 0.75 (0.54-1.06) 1374 1.03 (0.63-1.67)
 Clear cell 895 0.68 (0.55-0.84) 810 0.70 (0.43-1.13) 673 0.77 (0.34-1.78)
Pheterogeneity2 <0.0001 0.006 0.32
Pheterogeneity3 0.08 0.32 0.86
1

Adjusted for age (continuous), oral contraceptive use (never use, <2, 2-<5, 5-<10, or 10+ years), parity (0, 1, 2, 3, 4+), history of tubal ligation (yes, no), family history of ovarian or breast cancer (yes, no), BMI (<20, 20-<25, 25-<30, 30+), race/ethnicity (white, non-white), and study site (AUS, CON, DOV, HAW, HOP, MAL, NCO, NEC, NJO, POL, SON, TOR, UCI, and USC).

2

Determined using polytomous logistic regression comparing all subtypes.

3

Determined using polytomous logistic regression comparing only invasive subtypes.