Additional file 1 of Plasma concentration of brominated flame retardants and postmenopausal breast cancer risk: a nested case-control study in the French E3N cohort

Additional file 1 Table S1. Multinomial regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma level expressed as ng/L and breast cancer risk stratified according to hormone estrogen receptor status: adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Table S2. Multinomial regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma level expressed as ng/L and breast cancer risk stratified according to hormone progesteron receptor status: adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Table S3. Multinomial regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma level expressed as ng/gr of lipids and breast cancer risk stratified according to hormone estrogen receptor status: adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Table S4. Multinomial regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma level expressed as ng/gr of lipids and breast cancer risk stratified according to hormone progesteron receptor status: adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Table S5. Conditional logistic regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma levels expressed as ng/L and breast cancer risk stratified according to the body mass index (BMI): adjusted odds ratios (ORs) and 95% confidence intervals (CIs) Table S6. Conditional logistic regression models to estimate the association between quintiles of PBDEs and PBB-153 plasma levels expressed as ng/gr of lipids and breast cancer risk stratified according to the body mass index (BMI): adjusted odds ratios (ORs) and 95% confidence intervals (CIs)