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. Author manuscript; available in PMC: 2019 Dec 3.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2018 Apr 27;27(7):814–821. doi: 10.1158/1055-9965.EPI-18-0184

Table 2.

Association of α-diversity metrics with coffee and tea intake as categorical or continuous variables.

Categorical Continuous
β (95% CI)a P-trendb β (95% CI)a P
Coffee None
(n=129)
<1 c/day
(n=139)
[1-3) c/day
(n=354)
≥3 c/day
(n=316)
Per cup per day
Richness Ref. −0.72 (−9.042, 7.602) −3.752 (−10.982, 3.477) −3.732 (−10.985, 3.521) 0.218 −0.216 (−1.038, 0.606) 0.606
Shannon index Ref. 0.021 (−0.138, 0.18) −0.04 (−0.178, 0.099) −0.029 (−0.168, 0.11) 0.483 0.002 (−0.013, 0.018) 0.777
Evenness Ref. 0.005 (−0.012, 0.022) −0.001 (−0.016, 0.014) 0 (−0.015, 0.015) 0.744 0.001 (−0.001, 0.002) 0.528
Tea None
(n=231)
<1 c/day
(n=498)
[1-3) c/day
(n=140)
≥3 c/day
(n=69)
Per cup per day
Richness Ref. −0.883 (−6.408, 4.641) 9.465 (2.052, 16.878) 2.717 (−6.756, 12.189) 0.065 1.473 (0.015, 2.931) 0.048
Shannon index Ref. −0.042 (−0.148, 0.064) 0.166 (0.024, 0.308) 0.143 (−0.038, 0.324) 0.013 0.039 (0.011, 0.067) 0.006
Evenness Ref. −0.005 (−0.017, 0.006) 0.011 (−0.004, 0.026) 0.018 (−0.001, 0.037) 0.024 0.004 (0.001, 0.007) 0.009
a

Parameters are from linear regression models with specified α-diversity metric (averaged over 100 iterations of rarefied OTU table at 3,000 sequence reads/sample) as outcome. All models were adjusted for age, sex, study (CPS-IIa, CPS-IIb, PLCOa, PLCOb), current smoking, BMI (kg/m2), energy intake (kcal/day), ethanol intake (grams/day), and coffee or tea intake (cups/day; in tea and coffee models, respectively).

b

Trend tests across groups were done by entering the categorical variables into the models as continuous terms.