Table 4.

Associations between candidate correlating factors and CA125 level ≥ 35 U/ml among premenopausal women (N = 1157) by univariable and multivariable logistic regressions

Variables	Univariable logistic regressionsa				Multivariable logistic regressionsb
	Effect estimate	Odds ratio (OR)	P value	Effect estimate	Standard error	OR	P value
Smoking
Currentd	−0.654	0.520	0.0893	−0.863	0.426	0.422	0.043
Former	0.311	1.365	0.471	0.579	0.400	1.784	0.148
None	ref
EtOH
> 2 drinks/day	−0.165	0.848	0.679
1–2 drinks/day	0.092	1.096	0.763
None	ref
Caffeine	−0.00037	1.000	0.530
Age of menarche
> 12	0.118	1.125	0.634
≤ 12	ref
Breastfeedc	0.012	1.012	0.968
CHC use	−1.019	0.361	0.570
OCP duration
10+ years	−0.483	0.617	0.407	−0.596	0.621	0.551	0.337
5–10 yearsd	− 0.967	0.380	0.098	−1.173	0.548	0.309	0.032
2–5 years	0.528	1.695	0.234	0.465	0.474	1.592	0.327
< 2 years	ref
CRP	0.325	1.383	0.154	0.295	0.260	1.343	0.256
Ferritin	−0.00195	0.998	0.621
Salpingectomy	−0.616	0.540	0.278
Endometriosis	0.857	2.355	0.029	0.763	0.631	2.145	0.226
Fibroids	0.456	1.578	0.468
HLD	−0.412	0.662	0.480
Non-ovarian cancer	0.058	1.060	0.938

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 and parity

^b Multivariable regressions included the baseline variables (age, race/ethnicity, BMI, parity) 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