Skip to main content
. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: Am J Med. 2016 Sep 15;130(2):188–197.e5. doi: 10.1016/j.amjmed.2016.08.038

Table 3.

Relative risk ratios* (95% CIs) for prevalent coronary artery calcium by categories of coffee, tea, and caffeine consumption

Daily coffee consumption
None (n=1,554) <1 cup (n=1,492) ≥1 cup (n=3,159)
CAC score 1 – 99
No. of cases 415 389 831
 Model 1 1.00 1.07 (0.89, 1.28) 1.04 (0.88, 1.22)
 Model 2 1.00 1.06 (0.88, 1.28) 1.01 (0.85, 1.19)
 Model 3 1.00 1.06 (0.87, 1.28) 1.01 (0.85, 1.20)
 Model 4 1.00 1.07 (0.88, 1.30) 1.02 (0.85, 1.21)
CAC score ≥ 100
No. of cases 306 335 845
 Model 1 1.00 1.22 (0.99, 1.51) 1.25 (1.04, 1.51)
 Model 2 1.00 1.21 (0.96, 1.51) 1.10 (0.90, 1.35)
 Model 3 1.00 1.16 (0.92, 1.47) 1.11 (0.90, 1.36)
 Model 4 1.00 1.18 (0.93, 1.49) 1.10 (0.89, 1.35)
Daily tea consumption
None (n=3,562) <1 cup (n=1,825) 1 cup (n=800)
CAC score 1 – 99
No. of cases 945 455 230
 Model 1 1.00 0.93 (0.80, 1.08) 0.89 (0.73, 1.09)
 Model 2 1.00 0.94 (0.81, 1.10) 0.91 (0.74, 1.13)
 Model 3 1.00 0.96 (0.82, 1.13) 0.91 (0.73, 1.13)
 Model 4 1.00 0.96 (0.81, 1.12) 0.90 (0.73, 1.12)
CAC score ≥ 100
No. of cases 895 431 159
 Model 1 1.00 0.96 (0.81, 1.14) 0.65 (0.51, 0.83)
 Model 2 1.00 1.01 (0.85, 1.21) 0.66 (0.51, 0.85)
 Model 3 1.00 1.04 (0.86, 1.24) 0.65 (0.50, 0.84)
 Model 4 1.00 1.03 (0.86, 1.24) 0.64 (0.49, 0.84)
Caffeine consumption (mg/day)
1st Tertile (<55) 2nd Tertile (55–<167) 3rd Tertile (167–1354)
CAC score 1 – 99
No. of cases 581 590 555
 Model 1 1.00 1.02 (0.88, 1.19) 0.96 (0.81, 1.12)
 Model 2 1.00 1.02 (0.86, 1.20) 0.92 (0.76, 1.10)
 Model 3 1.00 1.00 (0.85, 1.19) 0.89 (0.74, 1.06)
 Model 4 1.00 0.99 (0.84, 1.18) 0.89 (0.74, 1.07)
CAC score ≥ 100
No. of cases 480 514 539
 Model 1 1.00 0.99 (0.83, 1.18) 1.04 (0.86, 1.25)
 Model 2 1.00 0.87 (0.71, 1.06) 0.86 (0.70, 1.06)
 Model 3 1.00 0.83 (0.68, 1.01) 0.83 (0.67, 1.02)
 Model 4 1.00 0.81 (0.66, 1.00) 0.82 (0.66, 1.01)
*

Relative risk ratios were derived from multinomial logistic regression.

Model 1: age, sex, race/ethnicity, and education.

Model 2: model 1 + smoking (never, former, current), physical activity, total fat, alcohol consumption, fruits quartiles, vegetables quartiles, red meat quartiles

Model 3: model 2 + systolic and diastolic blood pressures, use of antihypertensive medications, lipid-lowering medications, diabetes medications, body mass index, family history of coronary heart disease, diabetes, high-density lipoprotein cholesterol, total cholesterol, triglyceride

Model 4: model 3 + C-reactive protein, and fibrinogen