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. Author manuscript; available in PMC: 2015 Mar 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2014 Jan 17;23(3):516–524. doi: 10.1158/1055-9965.EPI-13-0907

Table 2.

Odds ratios and 95% confidence intervals for breast cancer incidence according to quartile of plasma ferritin (ng/mL) in the NHSII

Plasma Ferritin Quartile, ng/mL
P-valuea
≤ 23.9 > 23.9 – ≤ 42.1 >42.1 – ≤ 72.0 > 72.0
Overall
 Cases/Controls 196/198 217/199 177/199 205/199
 Simpleb 1.00 (ref) 1.11 (0.84, 1.46) 0.89 (0.67, 1.19) 1.04 (0.77, 1.40) 0.99
 Multivariatec 1.00 (ref) 1.04 (0.78, 1.39) 0.85 (0.62, 1.15) 1.05 (0.77, 1.45) 0.77
Invasive
 Cases/Controls 127/198 155/199 126/199 142/199
 Multivariated 1.00 (ref) 1.21 (0.88, 1.66) 0.96 (0.69, 1.33) 1.06 (0.75, 1.49) 0.90
ER+/PR+
 Cases/Controls 82/198 105/199 88/199 95/199
 Multivariated 1.00 (ref) 1.31 (0.91, 1.89) 1.08 (0.74, 1.59) 1.14 (0.77, 1.69) 0.88
ER−/PR−
 Cases/Controls 26/198 26/199 15/199 19/199
 Multivariated 1.00 (ref) 0.93 (0.51, 1.70) 0.54 (0.27, 1.08) 0.70 (0.35, 1.39) 0.24
Premenopausal at Diagnosis
 Cases/Controls 113/117 127/121 88/100 78/64
 Multivariated 1.00 (ref) 1.02 (0.70, 1.48) 0.87 (0.58, 1.30) 1.21 (0.77, 1.88) 0.47
Postmenopausal at Diagnosis
 Cases/Controls 62/66 62/51 71/73 104/111
 Multivariated 1.00 (ref) 1.37 (0.79, 2.37) 1.11 (0.65, 1.88) 1.09 (0.65, 1.83) 0.87
a

P-values from tests for trend

b

Conditional logistic regression model accounting only for matching factors

c

Conditional logistic regression model accounting for matching factors and further adjusted for age at menarche (<12, 12, 13, ≥14 years), BMI at age 18 (<18.5, 18.5–<21, 21–<23, ≥23 kg/m2), weight change since age 18 (<5, 5–<20, ≥20 kg), parity and age at first birth (nulliparous, 1–2 children and <25 years, 1–2 children and 25–29 years, 1–2 children and ≥30 years, ≥3 children and <25 years, ≥3 children and ≥25 years), family history of breast cancer (yes, no), personal history of benign breast disease (yes, no)

d

Unconditional logistic regression model adjusted for covariates in the other multivariate models and adjusted for matching factors: age at blood draw (continuous), race (Caucasian, other), menopausal status at blood draw (premenopausal, postmenopausal, unknown menopausal status), menopausal status at diagnosis (premenopausal, postmenopausal, unknown menopausal status), month of blood draw (continuous), luteal day at blood draw (<8, ≥8, untimed collected), time of day at blood draw (12am – 8am, 9am – 12pm, 1pm – 11pm), fasting status at blood draw (yes, no)