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. Author manuscript; available in PMC: 2016 Jul 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2015 May 21;24(7):1052–1060. doi: 10.1158/1055-9965.EPI-15-0038-T

Table 4.

Odds ratios (OR) for high versus low levelse for the top five circulating inflammatory markers in three case-control studies nested within the PLCO Cancer Screening Trial among never smokers, individuals without diabetes, normal BMI (18.5–25 kg/m2)

Inflammatory
marker
Subgroup Non-
drinkers
Moderate Coffee Drinkers
(<2.5 cups/day)
Heavy Coffee Drinkers
(≥2.5 cups/day)
P-trend P-heterogeneityf

OR OR 95% CI OR 95% CI
IFNγa Overallb 1.00 0.69 (0.33,1.43) 0.35 (0.16,0.75) 0.0003 ---
Never smokersc 1.00 0.63 (0.35,1.61) 0.19 (0.06,0.58) 0.0005 0.0434
Diabetes-freed 1.00 0.76 (0.36,1.60) 0.38 (0.17,0.84) 0.0006 0.7554
Normal BMIe 1.00 1.06 (0.32,3.47) 0.72 (0.20,2.54) 0.3019 0.4411

CX3CL1/ fractalkinea Overallb 1.00 0.46 (0.19,1.10) 0.25 (0.10,0.64) 0.0032 ---
Never smokersc 1.00 0.39 (0.13,1.19) 0.18 (0.04,0.71) 0.0443 0.0145
Diabetes-freed 1.00 0.42 (0.17,1.06) 0.24 (0.09,0.65) 0.0073 0.9845
Normal BMIe 1.00 2.08 (0.43,10.16) 1.13 (0.20,6.32) 0.3304 0.1140

CCL4/MIP-1β Overallb 1.00 0.85 (0.44,1.65) 0.48 (0.24,0.99) 0.0050 ---
Never smokersc 1.00 0.65 (0.27,1.56) 0.22 (0.08,0.67) 0.0033 0.0638
Diabetes-freed 1.00 0.94 (0.48,1.85) 0.49 (0.24,1.02) 0.0034 0.9578
Normal BMIe 1.00 1.05 (0.35,3.11) 0.48 (0.14,1.61) 0.0372 0.7972

FGF-2a Overall b 1.00 1.21 (0.57,2.57) 0.62 (0.28,1.38) 0.0080
Never smokersc 1.00 0.83 (0.34,2.03) 0.32 (0.10,1.03) 0.0291 0.3399
Diabetes-freed 1.00 1.14 (0.53,2.48) 0.54 (0.23,1.24) 0.0036 0.3721
Normal BMIe 1.00 2.50 (0.56,11.14) 2.48 (0.54,11.35) 0.6746 0.3963

sTNFRII Overallb 1.00 0.52 (0.24,1.14) 0.34 (0.15,0.79) 0.0112 ---
Never smokersc 1.00 0.38 (0.15,0.97) 0.25 (0.09,0.73) 0.0418 0.9181
Diabetes-freed 1.00 0.52 (0.24.1.14) 0.38 (0.17,0.89) 0.0497 0.0008
Normal BMIe 1.00 0.76 (0.22,2.60) 0.58 (0.16,2.29) 0.4104 0.3062
a

Analytes detectable in less than 50% of samples

b

Estimated with weighted logistic regression. All models adjusted for NSAID use (yes or no);multivitamin use (yes or no); BMI category (0–25 kg/m2, 25–30 kg/m2, ≥30 kg/m2); smoking status (no tobacco use, current smoker, quit 0-<10 y ago, quit 10 to <20 y ago, quit 20 to <30 y ago, quit 30 to <40 y ago, quit ≥40 y ago, or never smoked cigarettes but smoke pipe/cigars); age (≤59 y, 60–64 y, 65–69 y, or 70+ y); alcohol drinking (none, <1 drink/day, 1–3 drinks/day, or >3 drinks/day); sex (male or female) (lung and NHL studies only); year of serum collection (calendar year); education (≤11 y, 12 y or completed high school, some post high school education, or college graduate or post-graduate); daily fruit intake (cups/1000 kcal/day); daily vegetable intake (cups/1000 kcal/day); daily red meat intake (g/1000 kcal/day); daily white meat (i.e. poultry and fish) intake (g/1000 kcal/day); estimated daily energy intake (kcal/day)

c

Estimated with weighted logistic regression. All models adjusted for covariates in overall modelb except smoking status

d

Estimated with weighted logistic regression. All models adjusted for covariates in overall modelb; 4 individuals with missing diabetes status excluded

e

Estimated with weighted logistic regression. All models adjusted for covariates in overall modelb except BMI category

f

P-value for Wald X2 test of global significance for the cross-product term(s) for each stratifying variable and coffee drinking; 21 individuals excluded from analysis of coffee*BMI category interaction due to missing BMI