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. 2020 Nov 11;10:19590. doi: 10.1038/s41598-020-76558-5

Table 4.

Correlation between habitual coffee consumption and (a) urinary phenolic acid metabolites after acute coffee intake or (b) fasting blood parameters.

(a) sum of all metabolites DHCA-3′-sulfate FA-gly DHFA-4′-sulfate
Cups of coffee per week
rs *− 0.338 **− 0.468 ns *− 0.354
p 0.038 0.003 ns 0.029
“Coffee level”
rs *− 0.332 **− 0.464 ns *− 0.390
p 0.042 0.003 ns 0.016
Portions of fruit per week
rs *− 0.370 ns rp = *− 0.385 ns
p 0.022 ns 0.017 ns
(b) Cys HCys CysGly Cys:CysGly GSH GSH:CysGly Uric acid Glucose Insulin
“Coffee level”
rs *0.326 *0.300 *0.312 ns *0.307 ns ns ns ns
p 0.018 0.030 0.025 ns 0.027 ns ns ns ns

rs: Spearman’s coefficient, unless labeled by rp: Pearson’s coefficient; significance levels, p ≤ 0.05*, p ≤ 0.01** (n = 36). gly = glycine. ns = no significant relationship. VA-gly, FA-4′-sulfate and DHFA showed no correlation with habitual consumption categories, and so are not shown. No significant correlations were found between plasma biomarkers and cups of coffee or tea per week, nor fruit and vegetable consumption.