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. Author manuscript; available in PMC: 2020 Sep 16.
Published in final edited form as: Ann Intern Med. 2017 Jul 11;167(4):228–235. doi: 10.7326/M16-2472

Appendix Table 4.

Coffee Consumption and Total Mortality, in the Multiethnic Cohort, by Age Group and Education Level, 1993–2012*

Coffee Consumption <55y (n = 58 812)
55–70 y (n = 100 314)
>70y (n = 26 729)
Deaths, n HR (95% CI)* Deaths, n HR (95% CI)* Deaths, n HR (95% CI)*
None 1353 1.00 (reference) 5179 1.00 (reference) 2928 1.00 (reference)
1–3 cups/mo 567 1.09 (0.94–1.26) 2375 0.98 (0.92–1.05) 1335 1.03 (0.94–1.14)
1–6 cups/wk 922 0.99 (0.88–1.13) 4618 0.97 (0.92–1.03) 2354 0.99 (0.91–1.08)
1 cup/d 1629 0.85 (0.77–0.95) 11 249 0.89 (0.85–0.93) 6745 0.90 (0.85–0.97)
2–3 cups/d 1589 0.73 (0.66–0.82) 8139 0.83 (0.79–0.88) 3667 0.85 (0.79–0.92)
≥4 cups/d 641 0.74 (0.64–0.85) 2344 0.81 (0.75–0.87) 763 0.96 (0.84–1.09)
P for trend <0.001 <0.001 <0.001
Increase per cup 0.91 (0.89–0.94) 0.95 (0.94–0.96) 0.96 (0.94–0.98)
P for heterogeneity 0.019
High School or Less (n = 81 248)
Vocational School/Some College (n = 55 082)
College Graduate (n = 49 525)
None 4879 1.00 (reference) 2622 1.00 (reference) 1959 1.00 (reference)
1–3 cups/mo 2135 1.00 (0.94–1.07) 1255 1.02 (0.92–1.13) 887 0.97 (0.86–1.11)
1–6 cups/wk 4403 0.97 (0.92–1.03) 2105 0.96 (0.88–1.04) 1386 0.96 (0.86–1.08)
1 cup/d 10 900 0.90 (0.86–0.94) 5247 0.82 (0.77–0.88) 3476 0.89 (0.81–0.98)
2–3 cups/d 6941 0.82 (0.78–0.87) 3762 0.80 (0.74–0.86) 2692 0.87 (0.78–0.95)
≥4 cups/d 1921 0.82 (0.76–0.88) 1068 0.80 (0.71–0.90) 759 0.90 (0.78–1.04)
P for trend <0.001 <0.001 0.014
Increase per cup 0.95 (0.94–0.96) 0.94 (0.93–0.96) 0.96 (0.94–0.99)
P for heterogeneity 0.055

HR = hazard ratio.

*

The following variables were included to control for the effects of smoking: smoking status; average number of cigarettes; squared average number of cigarettes; number of years smoking (time-dependent); number of years since quitting (time-dependent); and interactions between ethnicity and average number of cigarettes, squared average number of cigarettes, and number of years smoking. The models were also adjusted for age at cohort entry, sex, ethnicity, body mass index, education, physical activity, alcohol consumption, total energy intake, energy from fat, and preexisting illness.