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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2016 Nov 9;26(3):413–419. doi: 10.1158/1055-9965.EPI-16-0630

Table 4.

Multivariable-adjusted relative risks (RR) and 95% confidence intervals of breast cancer, according to MT1R subtype, across tertiles of creatinine-standardized urinary melatonin level (n=403 [245 controls, 91 MT1R negative cases, 67 MT1R positive cases])

Tertiles of urinary melatonin levels (in ng/mg creatinine)
Tertile 1 Tertile 2 Tertile 3 p-trend p-heterogeneity
Invasive + in situ cases combined
 No. of cases / no. of controls 61 / 77 59 / 74 38 / 94
 MT1R negative + positive a 1.00 (ref) 1.01 (0.70–1.47) 0.67 (0.44–1.02) 0.05
 No. of cases / no. of controls 32 / 42 35 / 34 24 / 61
 MT1R negative b 1.00 (ref) 1.08 (0.64–1.81) 0.60 (0.35–1.06) 0.07 0.88
 No. of cases / no. of controls 29 / 35 24 / 40 14 / 33
 MT1R positive b 1.00 (ref) 0.95 (0.53–1.70) 0.76 (0.39–1.51) 0.39
Invasive cases only
 No. of cases / no. of controls 49 / 64 44 / 57 32 / 73
 MT1R negative + positive a 1.00 (ref) 0.98 (0.64–1.50) 0.72 (0.45–1.14) 0.14
 No. of cases / no. of controls 29 / 38 29 / 32 23 / 54
 MT1R negative b 1.00 (ref) 1.00 (0.57–1.75) 0.65 (0.37–1.17) 0.14 0.57
 No. of cases / no. of controls 20 / 26 15 / 25 9 / 19
 MT1R positive b 1.00 (ref) 0.88 (0.40–1.95) 0.97 (0.39–2.42) 0.79
a

Multivariable conditional logistic regression model adjusted for the following: age at menarche (<12, 12, 13, ≥14 years), age at menopause (≤45, 46–50, 51–53, ≥54 years), parity (nulliparous, 1–2, 3–4, or ≥5 children), family history of breast cancer (mother or sister: yes, no), BMI (continuous in kg/m2), alcohol intake (0, 1–14.9, ≥15 g/day), smoking status (current: yes, no), history of benign breast disease (yes, no), antidepressant use (current: yes, no), PMH use (current: yes, no), type and duration of PMH use (estrogen only: 0, <5, ≥5 years; estrogen + progesterone: 0, <5, ≥5 years),and first morning urine (yes, no).

b

Multivariable conditional polytomous logistic regression model with same covariates as listed above for conditional logistic regression.