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. 2022 Dec 26;15(1):107. doi: 10.3390/nu15010107

Table 2.

Weighted linear regression for MetS z-score in coffee, decaffeinated coffee, and caffeine intake group.

Characteristic Model 1 * Model 2 ** Model 3 ***
Coefficient (95% CI) p Coefficient (95% CI) p Coefficient (95% CI) p
Coffee
(ref. = nondrinkers)
   0–2 cups −0.09 (−0.28–0.09) 0.3 −0.10 (−0.29–0.08) 0.29 −0.07 (−0.22–0.07) 0.33
   >2 cups −0.19 (−0.35 to −0.02) 0.03 −0.17 (−0.33 to −0.01) 0.04 −0.13 (−0.24 to −0.01) 0.04
Decaffeinated Coffee
(ref. = nondrinkers)
   0–2 cups −0.07 (−0.30–0.15) 0.52 −0.07 (−0.30–0.16) 0.53 −0.01 (−0.19–0.16) 0.89
   >2 cups −0.05 (−0.35–0.25) 0.75 −0.05 (−0.34–0.23) 0.73 −0.15 (−0.36–0.05) 0.15
Caffeine intake
(ref. = 0–100 mg)
   100–200 mg 0.08 (−0.10–0.25) 0.40 0.12 (−0.06–0.30) 0.2 0.02 (−0.12–0.15) 0.79
   >200 mg −0.07 (−0.24–0.10) 0.41 −0.02 (−0.19–0.15) 0.8 −0.06 (−0.19–0.06) 0.31

* Model 1 did not adjust for any other variables. ** Model 2 was adjusted for age, education level and PIR. *** Model 3 was adjusted for age, education level, PIR, total energy intake, LDL, fasting insulin, waist circumference, smoke and alcohol exposure, and use of glucocorticoid. CI, confidence interval; Ref., reference. A β-coefficient was calculated by weighted linear regression for MetS z-score.