Table 2.

Associations between each biomarker and breast cancer risk

Biomarkers	Cases/Controls	OR (CI 95%)	P value
Albumin	478 / 478	1.05 (0.90, 1.23)	0.53
Protein C-reactive	481 / 481	1.05 (0.90, 1.23)	0.52
Triglycerides	430 / 430	0.96 (0.83, 1.11)	0.56
Cholesterol	450 / 450	0.94 (0.82, 1.09)	0.41
HDL cholesterol	420 / 420	0.95 (0.76, 1.18)	0.62
LDL cholesterol	423 / 423	0.89 (0.72, 1.10)	0.29
Parathormone	470 / 470	0.92 (0.80, 1.06)	0.23
Thyroid-stimulating hormone	480 / 480	0.87 (0.75, 1.00)	0.04
Prolactin	484 / 484	1.01 (0.87, 1.16)	0.93
Estradiol	479 / 479	1.22 (1.05, 1.42)	0.01
Testosterone	472 / 472	1.03 (0.89, 1.20)	0.68
SHBG	440 / 440	0.97 (0.84, 1.11)	0.63
Progesterone	481 / 481	1.07 (0.93, 1.22)	0.35

Conditional logistic regression models were used for estimating ORs and 95%CI, for each 1SD biomarker increment, adjusted for body mass index, menopausal hormone replacement therapy uses, urban/rural status at birth, urban/rural status at inclusion, alcohol drinking, breastfeeding, mammography before inclusion, oral contraceptive use, age at full-term pregnancy and parity, smoking status, total physical activity.

OR: odds ratio; 95% CI: 95% confidence intervals, HDL cholesterol: High-density lipoprotein cholesterol, LDL cholesterol: Light-density lipoprotein cholesterol, SD: standard deviation, SHGB: Sex Hormone-binding globulin

P value was obtained based on Wald test.