Table 6.

Associations between candidate correlating factors and CA125 level ≥ 35 U/ml among postmenopausal women (N = 1116) by univariable and multivariable logistic regressions

Variables	Univariable logistic regressionsa			Multivariable logistic regressionsb
	Effect estimate	OR (odds ratio)	P value	Effect estimate	Standard error	OR	P value
Smoking
Current	−0.726	0.484	0.393
Former	0.250	1.283	0.652
None	ref
Caffeine	−0.0013	0.999	0.449
Age of menarche
> 12	−0.475	0.622	0.334
≤ 12	ref
Breastfeedcd	0.765	2.148	0.066	0.899	0.402	2.457	0.026
OCP duration
10+ years	−0.123	0.884	0.876
5–10 years	−0.329	0.720	0.499
2–5 years	0.330	1.391	0.729
< 2 years	ref
CRPd	0.321	1.378	0.046	0.344	0.169	1.411	0.042
Ferritin	−0.001	0.999	0.582
Osteoporosis	−0.064	0.938	0.905
Osteoarthritis	0.446	1.562	0.482
Hysterectomy	−0.087	0.917	0.688
Oophorectomy	−0.241	0.786	0.702
Salpingectomy	−0.251	0.778	0.452
Fibroids	−1.240	0.289	0.337
CADd	1.421	4.140	0.051	1.609	0.630	4.996	0.011
HLD	0.366	1.442	0.363
Non-ovarian cancer	−1.040	0.354	0.159	−1.351	0.733	0.259	0.065

EtOH Alcohol, CHC Current hormonal contraception, OCP Oral contraceptive pill, CRP C reactive protein, CAD Coronary artery disease, HLD Hyperlipidemia

^a All univariable regressions were adjusted for baseline variables including age, race/ethnicity, BMI, parity and current hormonal replacement therapy (HRT) use

^b Multivariable regressions included the baseline variables (age, race/ethnicity, BMI, parity, HRT) and eligible variables from univariable analyses with cut-off p value < 0.25

^c For the “Breastfeed” variable, the reference for parity is one instead of none

^d These variables demonstrated significant associations with CA125 level ≥ 35 U/ml in the multivariable logistic regression model