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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Breast Cancer Res Treat. 2018 Aug 6;172(1):209–219. doi: 10.1007/s10549-018-4907-7

Table 7.

Multivariable ordinal logistic regression of demographic predictors on quartiles of factor scores*

Predictor Factor 1 - Growth Factor 2 - Inflammation

OR 95% CI OR 95% CI

Race 1.11 [0.74 - 1.74] 1.59 [1.03 - 2.39]**
Age
Q1 19-28 ref ref
Q2 29 - 31 1.09 [0.61 - 1.96] 0.84 [0.47 - 1.50]
Q3 32 - 35 1.42 [0.80-2.51] 1.25 [0.70-2.23]
Q4 36 - 45 1.62 [0.88-2.95] 1.14 [0.64, 2.06]
Body mass index (BMI)
<25 ref N/A
25 - <30 2.04 [1.24-3.34]
⩾30 1.61 [0.93-2.81]**
Baby’s age in days
Q1 21-98 ref ref
Q2 100 - 189 0.72 [0.41 - 1.26] 0.50 [0.28-0.90]
Q3 194 - 315 0.93 [0.52 - 1.65] 0.38 [0.21-0.69]
Q4 316 - 1500 1.48 [0.82-2.67] 0.45 [0.22-0.75]***
Menses since delivery 1.98 [1.29-3.05]** N/A
*

Associations tested in ordinal logistic regression on quartiles of factor scores with a random effect for plate. Multivariable models were built in forward stepwise selection with race and all predictors p< 0.4 retained in final models. Factors with cells labeled N/A (Not Applicable) were not included in the model for the analyte listed because they failed to meet criteria for selection.

**

p<0.05

***

p-trend<0.05