Literature DB >> 28746796

Association between coffee consumption and all-sites cancer incidence and mortality.

Junya Sado1, Tetsuhisa Kitamura1, Yuri Kitamura1, Tomotaka Sobue1, Yoshikazu Nishino2, Hideo Tanaka3, Tomio Nakayama4, Ichiro Tsuji5, Hidemi Ito3, Takaichiro Suzuki4, Kota Katanoda6, Suketami Tominaga3.   

Abstract

The preventive effect of coffee on cancer at different sites has been reported, but the effect on all-sites cancer incidence has not been extensively investigated. We evaluated the association between frequency of coffee consumption and risk of all-sites cancer incidence and mortality among 39 685 men and 43 124 women (age 40-79 years, at baseline), in the Three-Prefecture Cohort Study. The association between frequency of coffee consumption and risk of all-sites cancer incidence and mortality was assessed by a Cox proportional hazards regression model, adjusted for potential confounders. During 411 341 person-years among men and 472 433 person-years among women, a total of 4244 men and 2601 women developed cancer at different sites and a total of 3021 men and 1635 women died of cancer at different sites. We showed an inverse association between frequency of coffee consumption and all-sites cancer incidence in both men and women. Comparing participants who consumed coffee with those who never drank coffee, the adjusted hazard ratios (95% confidential interval) for all-sites cancer incidence was 0.74 (0.62-0.88) for coffee consumption of ≥5 cups/day in men (P for trend < 0.001) and 0.76 (0.58-1.02) in women (P for trend = 0.020). Coffee consumption frequency was inversely associated with mortality from all-sites cancer. In this population, increasing coffee consumption resulted in a decreased risk of all-sites cancer incidence and mortality.
© 2017 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

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Keywords:  Cancer incidence; cancer mortality; coffee consumption; cohort; epidemiology

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Year:  2017        PMID: 28746796      PMCID: PMC5623740          DOI: 10.1111/cas.13328

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


Coffee is one of the most widely consumed beverages1 and almost 40% of adults drink coffee daily in Japan.2, 3 Coffee contains a number of bioactive compounds,4 and its anti‐inflammatory effect, mediated by caffeine and chlorogenic acid, is well recognized.2, 5 Research indicates that regular coffee consumption over a lifetime may have a beneficial effect for health.2 The International Agency for Research on Cancer Monograph working group has been discussing the association between coffee consumption and carcinogenicity,6 but the association of coffee consumption with all‐sites cancer mortality remains controversial. Indeed, preceding meta‐analysis or cohort studies have reported that coffee consumption was associated with both reduced3 and non‐increased1, 2, 7, 8, 9 risk of all‐sites cancer mortality. However, its association with the risk of site‐specific cancer incidence, such as breast cancer10, 11 colon cancer,12, 13 pancreas cancer,14, 15, 16 liver cancer,17, 18, 19 and prostate cancer20 is also controversial. Furthermore, the effect of coffee consumption on all‐sites cancer incidence has not been extensively investigated. The Three‐Prefecture Cohort Study is a prospective population‐based observational study that targeted almost 100 000 inhabitants with a 15‐year follow‐up. We evaluated the association of coffee consumption with all‐sites cancer incidence and mortality. Our hypothesis was that high frequent coffee consumption was associated with a reduced risk of all‐sites cancer incidence and mortality among the Japanese population.

Materials and Methods

Study design, settings, and patients

The Three‐Prefecture Cohort Study was originally a prospective observational study to assess the long‐term effects of air pollution on mortality from lung cancer and respiratory diseases. Details of this target population and baseline survey method have been previously described.21, 22 Briefly, the study areas were urban/rural areas in Miyagi Prefecture, Aichi Prefecture, and Osaka Prefecture, Japan. The study participants were all residents aged ≥40 years. A total of 117 029 self‐administered questionnaires in sealed envelopes were distributed by hand to target individuals in cooperation with the municipal government in each area between 1983 and 1985. The total number of respondents was 104 567; of these, 100 629 were eligible subjects, excluding participants who duplicatedly answered a questionnaire or did not provide details of their name/sex/date of birth, as investigators could not follow the outcome data. We undertook this study in accordance with the Declaration of Helsinki and ethical guidelines for epidemiological research. The study was approved by the institutional review board of the National Cancer Center (Tokyo, Japan) and the Ethics Committee of Osaka University School of Medicine (Osaka, Japan). The agreement or permission for the baseline survey involving municipality residents was obtained from the municipal government with collaborators. Response to the questionnaire was deemed to represent agreement to participate in the survey. In this study, we defined the study cohort as individuals aged 40–79 years at baseline, with a follow‐up period ≥1 day, and providing information on frequency of coffee consumption. We excluded the following: 19 persons whose date of beginning of follow‐up was unified in each area after various dates of individual response to the questionnaire, 3568 persons aged ≥80 years, and 14 233 persons who did not answer the question on coffee consumption. Finally, our study population consisted of 82 809 persons (39 685 men and 43 124 women; Fig. 1).
Figure 1

Participants in the Three‐Prefectures Cohort study included in this analysis.

Participants in the Three‐Prefectures Cohort study included in this analysis.

Follow‐up

The follow‐up period was defined as 15 years from the baseline survey in each study area. Vital status, date of death, and date of move from the study area were confirmed by the local government using residence certificates. The cause of death was identified by a death certificate. Cancer incidence and date of diagnosis were identified from prefecture‐wide population‐based cancer registry data. The follow‐up period of cancer incidence was defined as 15 years from baseline survey in Aichi Prefecture and Osaka Prefecture, and 9 years from baseline survey in Miyagi Prefecture. The follow‐up period was defined as 15 years from baseline survey in the three prefectures.

Key group definition

The coffee consumption frequency self‐questionnaire in Aichi Prefecture and Osaka Prefecture distinguished between instant coffee and brewed coffee, whereas the coffee consumption information in Miyagi Prefecture used a single variable, with no distinction between type of coffee. Therefore, we merged two variables of coffee consumption frequency according to the combination in Table S1. Finally, we defined the categories of coffee consumption per participant, as follows: never, sometimes, 1–2 cups/day, 3–4 cups/day, and ≥5 cups/day.

Study end‐points

The main outcomes were all‐sites cancer incidence and mortality. We used the International Classification of Diseases, 9th revision (ICD‐9), for data between 1983 and 1994, and the 10th revision (ICD‐10), for data between 1995 and 2000, to classify the all‐sites cancer (ICD‐9, codes 140–208; ICD‐10, codes C00–C97).1, 2

Statistical analysis

In this study, we undertook analyses according to sex. The χ2‐test was used to compare the baseline characteristics by coffee consumption category. When cancer mortality rates were calculated, person‐years of follow‐up for mortality were counted from the date of the baseline survey to the first event occurring out of the following: date of death, date of move‐out from the study area, or the end of follow‐up. For cancer incidence rates, date of diagnosis of the first primary cancer was added to the above list. A multivariate Cox proportional hazard regression model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between coffee consumption and all‐sites cancer incidence/mortality. The model was adjusted for potential confounders as follows: age group (40–49, 50–59, 60–69, and 70–79 years); area (Miyagi Prefecture rural, Miyagi Prefecture urban, Aichi Prefecture rural, Aichi Prefecture urban, Osaka Prefecture rural, and Osaka Prefecture urban); body mass index (men: 14.02–20.19, 20.20–21.79, 21.80–23.14, 23.15–24.79, and 24.80–39.76 kg/m2, or unknown; women: 14.02–19.99, 20.00–21.49, 21.50–23.06, 23.07–24.99, and 25.00–40.00 kg/m2, or unknown); history of smoking (never, past, current [0–19 pack‐years, 20–39 pack‐years, and ≥40 pack‐years], or unknown); frequency of alcohol consumption (never, past, occasional, or almost every day, and unknown); rice consumption (0–1, 2, 3, 4, 5, and 6–25 cups/day, or unknown); consumption of food items, such as bread, meat, fish, egg, milk, green and yellow vegetables, non‐green and non‐yellow vegetables, fruit, miso soup, pickled vegetables (almost never, 1–2 times/month, 1–2 times/week, 3–4 times/week, almost every day, or unknown); beverages, such as black tea or green tea (almost never, sometimes, 1–2, 3–4, and ≥5 cups/day, or unknown); job type (professional, technical, civil, managerial, clerical, sales, agricultural, forestry and fisheries, construction, transport and communications, craftsman, production process personnel, laborer, security personnel, service personnel, unemployed, or unknown); history of hypertension (current, past, never, or unknown); history of diabetes (current, past, never, or unknown); history of stroke (current, past, never, or unknown); and history of heart disease (current, past, never, or unknown). Subgroup analysis according to smoking history (current, never) was carried out using the multivariable Cox proportional hazard model for all‐sites cancer incidence or mortality, to check the effect of residual confounding and/or the effect modification by smoking. To evaluate reverse causation, we estimated the risk of mortality excluding participants who died within 3 years from baseline. The effect modification was evaluated by P‐values for the association with smoking status. In addition, we evaluated the association between all‐sites cancer and coffee consumption frequency in each prefecture as a sensitivity analysis. All analyses were undertaken with STATA version 13 MP (Stata Corp., College Station, TX, USA) and the statistical significance level was set at 0.05.

Results

Tables 1 and 2 show baseline characteristics of the study cohort by coffee consumption frequency and sex. Compared with men who did not drink coffee, those who consumed high amounts of coffee were more likely to be young, smoke cigarettes, and eat foods such as bread and meat; they were less likely to be current drinkers of alcoholic beverages, eat foods such as rice, fish, green and yellow vegetables, non‐green and non‐yellow vegetables, and miso soup, and drink beverages such as milk and green tea. Similar trends were observed among women. In addition, Table S2 shows the coffee consumption frequency by prefecture and sex. In both sexes, the proportion of participants with coffee consumption ≥5 cups/day was high in Osaka Prefecture and the proportion of participants who never consumed coffee was high in Miyagi Prefecture.
Table 1

Baseline characteristics by coffee consumption frequency in men in three Japanese prefectures

Total (n = 39 685)Never (n = 5072)Sometimes (n = 12 497)1–2 cups/day (n = 14 760)3–4 cups/day (n = 5380)≥5 cups/day (n = 1976) P‐value
Age, mean (SD)54.5 (10.1)57.5 (10.6)56.3 (10.3)53.6 (9.7)51.1 (8.9)51.9 (9.4)<0.001
History of hypertension, n (%)8,123 (20.5)1,414 (27.9)2979 (23.8)2,737 (18.5)741 (13.8)252 (12.8)<0.001
History of diabetes, n (%)2911 (7.3)134 (9.8)347 (7.3)1017 (6.9)917 (6.4)496 (6.8)<0.001
Body mass index, mean (SD)22.6 (2.8)22.5 (2.9)22.7 (2.8)22.5 (2.8)22.6 (2.8)22.5 (2.8)<0.001
Current smoker, n (%)23,143 (58.3)2,355 (46.4)6,273 (50.2)9,082 (61.5)3903 (72.5)1530 (77.4)<0.001
Tobacco consumption (current smoker), n (%)
0–19 cigarettes/day6784 (29.3)966 (41.0)2387 (38.1)2496 (27.5)696 (17.8)239 (15.6)<0.001
20–39 cigarettes/day13 114 (56.7)1165 (49.5)3364 (53.6)5385 (59.3)2337 (59.9)863 (56.4)
≥40 cigarettes/day3097 (13.4)199 (8.5)477 (7.6)1157 (12.7)846 (21.7)418 (27.3)
Missing148 (0.6)25 (1.1)45 (0.7)44 (0.5)24 (0.6)10 (0.7)
Duration of smoking (current smoker), n (%)
0–19 years802 (3.5)70 (3.0)287 (4.6)249 (2.7)146 (3.7)50 (3.3)<0.001
20–39 years15 965 (69.0)1436 (61.0)6416 (102.3)3903 (43.0)3038 (77.8)1172 (76.6)
≥40 years5892 (25.5)763 (32.4)2226 (35.5)1967 (21.7)653 (16.7)283 (18.5)
Missing484 (2.1)86 (3.7)153 (2.4)154 (1.7)66 (1.7)25 (1.6)
Pack‐years (current smoker), n (%)
0–19 pack‐years3580 (15.5)460 (19.5)1219 (19.4)1315 (14.5)440 (11.3)146 (9.5)<0.001
20–39 pack‐years10 816 (46.7)1092 (46.4)2988 (47.6)4374 (48.2)1764 (45.2)598 (39.1)
≥40 pack‐years8221 (35.5)709 (30.1)1898 (30.3)3228 (35.5)1628 (41.7)758 (49.5)
Missing526 (2.3)94 (4.0)168 (2.7)165 (1.8)71 (1.8)28 (1.8)
Current drinker of alcoholic beverages, n (%)19 478 (49.1)2560 (50.5)6022 (48.2)7539 (51.1)2552 (47.4)805 (40.7)<0.001
Rice consumption ≥3 bowls/day, n (%)28 015 (70.6)3584 (70.7)9078 (72.6)10 297 (69.8)3746 (69.6)1310 (66.3)<0.001
Bread consumption almost every day, n (%)11 028 (27.8)826 (16.3)2,248 (18.0)5049 (34.2)2117 (39.3)788 (39.9)<0.001
Meat consumption almost every day, n (%)6264 (15.8)679 (13.4)1752 (14.0)2396 (16.2)1006 (18.7)431 (21.8)<0.001
Fish consumption almost every day, n (%)9620 (24.2)1608 (31.7)3363 (26.9)3124 (21.2)1064 (19.8)461 (23.3)<0.001
Egg consumption almost every day, n (%)12 696 (32.0)1667 (32.9)3947 (31.6)4659 (31.6)1746 (32.5)677 (34.3)0.001
Milk consumption almost every day, n (%)12 324 (31.1)1776 (35.0)3992 (31.9)4630 (31.4)1363 (25.3)563 (28.5)<0.001
Green and yellow vegetable consumption almost every day, n (%)15 078 (38.0)2,223 (43.8)4973 (39.8)5336 (36.2)1805 (33.6)741 (37.5)<0.001
Non‐green and non‐yellow vegetable consumption almost every day, n (%)20 700 (52.2)2881 (56.8)6823 (54.6)7471 (50.6)2529 (47.0)996 (50.4)<0.001
Fruit consumption almost every day, n (%)15 768 (39.7)2219 (43.8)5357 (42.9)5674 (38.4)1814 (33.7)704 (35.6)<0.001
Miso soup consumption almost every day, n (%)22 226 (56.0)3260 (64.3)7793 (62.4)7749 (52.5)2476 (46.0)948 (48.0)<0.001
Pickled vegetable consumption almost every day, n (%)23 645 (59.6)3053 (60.2)7763 (62.1)8569 (58.1)3082 (57.3)1178 (59.6)<0.001
Black tea consumption ≥1 cup/day, n (%)2300 (5.8)272 (5.4)673 (5.4)912 (6.2)310 (5.8)133 (6.7)<0.001
Green tea consumption ≥1 cup/day, n (%)28 079 (70.8)3567 (70.3)9362 (74.9)10 227 (69.3)3631 (67.5)1292 (65.4)<0.001
Employed, n (%)28 437 (71.7)3595 (70.9)8816 (70.5)10 734 (72.7)3964 (73.7)1328 (67.2)<0.001
Table 2

Baseline characteristics by consumption frequency in women in three Japanese prefectures

Total (n = 43 124)Never (n = 7772)Sometimes (n = 16 148)1–2 cups/day (n = 14 608)3–4 cups/day (n = 3351)≥5 cups/day (n = 1245) P‐value
Age, years, mean (SD)55.0 (10.2)60.3 (10.6)55.9 (10.0)52.5 (9.2)50.0 (8.4)51.7 (9.2)<0.001
History of hypertension, n (%)9124 (21.2)2252 (29.0)3738 (23.1)2553 (17.5)408 (12.2)173 (13.9)<0.001
History of diabetes, n (%)1503 (3.5)31 (6.2)70 (3.5)362 (2.5)559 (2.1)481 (2.5)<0.001
Body mass index, mean (SD)22.5 (3.1)22.4 (3.4)22.7 (3.2)22.4 (3.0)22.3 (2.8)22.4 (3.1)<0.001
Current smoker, n (%)4744 (11.0)637 (8.2)1189 (7.4)1905 (13.0)693 (20.7)320 (25.7)<0.001
Tobacco consumption (current smoker), n (%)
0–19 cigarettes/day3069 (64.7)448 (70.3)829 (69.7)1247 (65.5)392 (56.6)153 (47.8)<0.001
20–39 cigarettes/day1484 (31.3)168 (26.4)308 (25.9)600 (31.5)267 (38.5)141 (44.1)
≥40 cigarettes/day121 (2.6)8 (1.3)24 (2.0)39 (2.0)26 (3.8)24 (7.5)
Missing70 (1.5)13 (2.0)28 (2.4)19 (1.0)8 (1.2)2 (0.6)
Duration of smoking (current smoker), n (%)
0–19 years1532 (32.3)154 (24.2)353 (29.7)665 (34.9)247 (35.6)113 (35.3)<0.001
20–39 years2489 (52.5)289 (45.4)602 (50.6)1022 (53.6)394 (56.9)182 (56.9)
≥40 years580 (12.2)161 (25.3)189 (15.9)176 (9.2)33 (4.8)21 (6.6)
Missing143 (3.0)33 (5.2)45 (3.8)42 (2.2)19 (2.7)4 (1.3)
Pack‐years (current smoker), n (%)
0–19 pack‐years2878 (60.7)357 (56.0)730 (61.4)1226 (64.4)399 (57.6)166 (51.9)<0.001
20–39 pack‐years1351 (28.5)188 (29.5)321 (27.0)512 (26.9)220 (31.7)110 (34.4)
≥40 pack‐years359 (7.6)58 (9.1)89 (7.5)122 (6.4)51 (7.4)39 (12.2)
Missing156 (3.3)34 (5.3)49 (4.1)45 (2.4)23 (3.3)5 (1.6)
Current drinker of alcoholic beverages, n (%)2552 (5.9)365 (4.7)731 (4.5)1029 (7.0)312 (9.3)115 (9.2)<0.001
Rice consumption ≥3 bowls/day, n (%)25 722 (59.6)4957 (63.8)10 189 (63.1)8,157 (55.8)1,785 (53.3)634 (50.9)<0.001
Bread consumption almost every day, n (%)14 528 (33.7)1576 (20.3)3742 (23.2)6966 (47.7)1595 (47.6)649 (52.1)<0.001
Meat consumption almost every day, n (%)6,823 (15.8)848 (10.9)2372 (14.7)2640 (18.1)688 (20.5)275 (22.1)<0.001
Fish consumption almost every day, n (%)10 052 (23.3)2029 (26.1)4058 (25.1)3016 (20.6)681 (20.3)268 (21.5)<0.001
Egg consumption almost every day, n (%)12 762 (29.6)2066 (26.6)4645 (28.8)4488 (30.7)1116 (33.3)447 (35.9)<0.001
Milk consumption almost every day, n (%)14 170 (32.9)2609 (33.6)5317 (32.9)4767 (32.6)1042 (31.1)435 (34.9)<0.001
Green and yellow vegetable consumption almost every day, n (%)20 341 (47.2)4004 (51.5)7900 (48.9)6488 (44.4)1403 (41.9)546 (43.9)<0.001
Non‐green and non‐yellow vegetable consumption almost every day, n (%)26 180 (60.7)4902 (63.1)10 108 (62.6)8597 (58.9)1862 (55.6)711 (57.1)<0.001
Fruit consumption almost every day, n (%)25 487 (59.1)4844 (62.3)9958 (61.7)8331 (57.0)1686 (50.3)668 (53.7)<0.001
Miso soup consumption almost every day, n (%)22 847 (53.0)4585 (59.0)9416 (58.3)6865 (47.0)1416 (42.3)565 (45.4)<0.001
Pickled vegetable consumption almost every day, n (%)27 400 (63.5)4934 (63.5)10 507 (65.1)9163 (62.7)2000 (59.7)796 (63.9)<0.001
Black tea consumption ≥1 cup/day, n (%)3110 (7.2)491 (6.3)1224 (7.6)1043 (7.1)239 (7.1)113 (9.1)<0.001
Green tea consumption ≥1 cup/day, n (%)31 991 (74.2)5887 (75.7)12 651 (78.3)10 350 (70.9)2268 (67.7)835 (67.1)<0.001
Employed, n (%)19 904 (46.2)3323 (42.8)7091 (43.9)7184 (49.2)1748 (52.2)558 (44.8)<0.001
Baseline characteristics by coffee consumption frequency in men in three Japanese prefectures Baseline characteristics by consumption frequency in women in three Japanese prefectures Table 3 shows HRs of all‐sites cancer incidence by coffee consumption frequency and sex. The risk of all‐sites cancer incidence significantly decreased with increasing coffee consumption frequency among men (P for trend < 0.001) and women (P for trend = 0.020). The adjusted HR was significantly lower among men with coffee consumption ≥5 cups/day than among those with who never consumed coffee (adjusted HR, 0.74 [95% CI, 0.62–0.88]). The adjusted HRs were marginally lower in women with coffee consumption ≥5 cups/day than among those who never consumed coffee (adjusted HR, 0.76 [95% CI, 0.58–1.02]). Table S3 shows HRs of all‐sites cancer incidence by coffee consumption frequency and sex in each prefecture. The risk of all‐sites cancer incidence tended to be lower in the coffee consumption group than in the non‐coffee consumption group in each prefecture.
Table 3

Hazard ratios (HR) and 95% confidence intervals (CI) of all‐sites cancer incidence according to coffee consumption category and sex in a Japanese cohort

NeverSometimes1–2 cups/day3–4 cups/day≥5 cups/day P‐value for trend
HR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐value
Men
Participants (n = 39 480), n 502312 41014 70253711974
All‐sites cancer incidence
Person‐years (n = 411 341)48 172124 527158 08459 43921 119
Cases (n = 4244), n 62813931552494177
Model 1 adjusted HRs (95% CI)Ref.0.88(0.80–0.97)0.0090.91(0.83–1.00)0.0460.90(0.79–1.01)0.0740.84(0.71–0.99)0.0410.095
Model 2 adjusted HRs (95% CI)Ref.0.89(0.81–0.99)0.0310.86(0.78–0.96)0.0060.83(0.73–0.95)0.0050.74(0.62–0.88)0.001<0.001
Women
Participants (n = 42 913), n 769816 06014 56933451241
All‐sites cancer incidence
Person‐years (n = 472 433)78 736172 954167 51839 27013 955
Cases (n = 2601), n 552104177817357
Model 1 adjusted HRs (95% CI)Ref.1.02(0.92–1.13)0.6820.93(0.83–1.04)0.1841.02(0.85–1.21)0.8480.84(0.64–1.11)0.2250.153
Model 2 adjusted HRs (95% CI)Ref.1.03(0.92–1.15)0.6420.89(0.79–1.01)0.0830.95(0.79–1.15)0.6130.76(0.58–1.02)0.0640.020

Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Ref., reference.

Hazard ratios (HR) and 95% confidence intervals (CI) of all‐sites cancer incidence according to coffee consumption category and sex in a Japanese cohort Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Ref., reference. The adjusted HRs of all‐sites cancer mortality rates by coffee consumption frequency and sex are presented in Table 4. An inverse association was observed between coffee consumption frequency and all‐sites cancer mortality rates among men (P for trend < 0.001) and women (P for trend = 0.047). In men with high frequency of coffee consumption, a lower HR was observed for all‐sites cancer mortality (adjusted HR for ≥5 cups/day vs never, 0.71 [95% CI, 0.58–0.88]). In women, adjusted HRs of all‐sites cancer mortality were marginally lower among those with a coffee consumption ≥5 cups/day than among those who never consumed coffee (adjusted HR, 0.77 [95% CI, 0.54–1.10]). In addition, in an analysis to exclude subjects who died within 3 years from baseline, a similar inverse association was observed between coffee consumption frequency and all‐sites cancer mortality among men (P for trend = 0.002) but not among women (P for trend = 0.299).
Table 4

Hazard ratios (HR) and 95% confidence interval (CI) of all‐sites cancer death according to coffee consumption frequency and sex in a Japanese cohort

NeverSometimes1–2 cups/day3–4 cups/day≥5 cups/day P‐value for trend
HR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐value
Men
Participants (n = 39 685), n 507212 49714 76053801976
Person‐years (n = 461 699), n 56 932145 657172 73763 30423 069
Cases (n = 3021), n 4951,0181049333126
Model 1 adjusted HRs (95% CI)Ref.0.82(0.74–0.91)<0.0010.83(0.74–0.92)0.0010.85(0.74–0.98)0.0260.82(0.67–1.00)0.0450.037
Model 2 adjusted HRs (95% CI)Ref.0.85(0.76–0.96)0.0060.79(0.70–0.90)<0.0010.78(0.67–0.92)0.0020.71(0.58–0.88)0.002<0.001
Model 3 adjusted HRs (95% CI)Ref.0.85(0.75–0.96)0.0100.80(0.70–0.91)0.0010.77(0.65–0.91)0.0030.75(0.61–0.94)0.0120.002
Women
Participants (n = 43 124), n 777216 14814 60833511245
Person‐years (n = 527 319)91 386198 576182 89141 81815 359
Cases (n = 1635), n 3926514599736
Model 1 adjusted HRs (95% CI)Ref.0.98(0.86–1.11)0.7770.92(0.80–1.06)0.2681.03(0.82–1.30)0.7810.92(0.65–1.29)0.6170.472
Model 2 adjusted HRs (95% CI)Ref.0.99(0.86–1.14)0.9180.86(0.74–1.01)0.0700.93(0.73–1.18)0.5580.77(0.54–1.10)0.1560.047
Model 3 adjusted HRs (95% CI)Ref.0.98(0.84–1.15)0.8470.91(0.77–1.08)0.2950.96(0.74–1.25)0.7650.87(0.60–1.26)0.4610.299

Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Model 3, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Men and women who had all‐cause death within the first 3 years of follow‐up were excluded. Ref., reference.

Hazard ratios (HR) and 95% confidence interval (CI) of all‐sites cancer death according to coffee consumption frequency and sex in a Japanese cohort Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Model 3, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. Men and women who had all‐cause death within the first 3 years of follow‐up were excluded. Ref., reference. For subgroup analysis by smoking status, the adjusted HRs between coffee consumption frequency and all‐sites cancer incidence, according to sex and smoking status, are presented in Table 5. Among current smokers of both sexes, increased coffee consumption frequency was significantly associated with a reduced risk of all‐sites cancer incidence (P for trend = 0.002); however, this association was not found in men or women with no history of smoking. The interaction between coffee consumption frequency and smoking status was statistically significant for women (P for interaction = 0.025).
Table 5

Subgroup analysis of associations between coffee consumption and all‐sites cancer incidence in a Japanese cohort

NeverSometimes1–2 cups/day3–4 cups/day≥5 cups/day P for trend P for interaction
HR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐value
Men
Never smoker
Cases (n = 438), n 9219311923110.437
Model 1 adjusted HRs (95% CI)Ref.1.04(0.811.33)0.7781.01(0.761.33)0.9700.88(0.551.39)0.5790.87(0.461.63)0.6630.577
Model 2 adjusted HRs (95% CI)Ref.1.14(0.871.51)0.3471.15(0.841.57)0.3841.03(0.631.67)0.9170.92(0.481.78)0.8120.921
Current smoker
Cases (n = 2723), n 3497931042397142
Model 1 adjusted HRs (95% CI)Ref.0.83(0.730.94)0.0030.78(0.690.89)0.0000.78(0.670.90)0.0010.70(0.580.86)0.0010.000
Model 2 adjusted HRs (95% CI)Ref.0.85(0.750.98)0.0230.80(0.700.92)0.0020.82(0.700.96)0.0150.71(0.570.87)0.0010.002
Women
Never smoker
Cases (n = 1838), n 407752526114390.025
Model 1 adjusted HRs (95% CI)Ref.1.05(0.93–1.19)0.4200.95(0.83–1.08)0.4151.09(0.88–1.35)0.4361.04(0.75–1.45)0.8030.808
Model 2 adjusted HRs (95% CI)Ref.1.09(0.95–1.24)0.2220.96(0.83–1.12)0.6071.10(0.88–1.38)0.3941.05(0.75–1.47)0.7830.905
Current smoker
Cases (n = 356), n 681031403510
Model 1 adjusted HRs (95% CI)Ref.0.86(0.63–1.18)0.3580.80(0.59–1.09)0.1590.66(0.43–1.02)0.0600.41(0.21–0.81)0.0100.005
Model 2 adjusted HRs (95% CI)Ref.0.83(0.59–1.17)0.2950.72(0.51–1.02)0.0670.63(0.40–0.99)0.0440.37(0.18–0.75)0.0060.002

Model 1, adjusted for age‐group, sex, and region; Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. CI, confidence interval; HR, hazard ratio; Ref., reference.

Subgroup analysis of associations between coffee consumption and all‐sites cancer incidence in a Japanese cohort Model 1, adjusted for age‐group, sex, and region; Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. CI, confidence interval; HR, hazard ratio; Ref., reference. The adjusted HRs between coffee consumption frequency and all‐sites cancer mortality by sex and smoking status are also shown in Table 6. Higher coffee consumption frequency was significantly associated with lower all‐sites cancer mortality among current male smokers (P for trend = 0.005), but no significant association was found for men with no history of smoking. Higher coffee consumption frequency in women was significantly associated with lower all‐sites cancer mortality among women with current smoking (P for trend = 0.003), but was not associated with lower all‐sites cancer mortality among women who never smoked. The interaction between coffee consumption frequency and smoking status was marginally significant for women (P for interaction = 0.055).
Table 6

Subgroup analysis of associations between consumption frequency and all‐sites cancer death in a Japanese cohort

NeverSometimes1–2 cups/day3–4 cups/day≥5 cups/day P for trend P for interaction
HR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐value
Men
Smoking status
Never smoker
Cases (n = 299), n 65137741670.449
Model 1 adjusted HRs (95% CI)Ref.1.03(0.77–1.39)0.8240.97(0.69–1.36)0.8621.01(0.58–1.76)0.9750.84(0.39–1.84)0.6660.712
Model 2 adjusted HRs (95% CI)Ref.1.21(0.86–1.69)0.2731.15(0.78–1.69)0.4791.26(0.70–2.28)0.4361.01(0.44–2.31)0.9800.644
Current smoker
Cases (n = 4788), n 74315531679576237
Model 1 adjusted HRs (95% CI)Ref.0.76(0.66‐0.88)<0.0010.73(0.63‐0.84)<0.0010.75(0.63‐0.89)0.0010.67(0.53‐0.85)0.001<0.001
Model 2 adjusted HRs (95% CI)Ref.0.82(0.70‐0.96)0.0110.77(0.65‐0.90)0.0010.80(0.67‐0.97)0.0200.69(0.54‐0.88)0.0030.005
Women
Smoking status
Never smoker
Cases (n = 1089), n27843728565240.055
Model 1 adjusted HRs (95% CI)Ref.0.99(0.85–1.15)0.8570.90(0.76–1.08)0.2541.16(0.88–1.53)0.3011.13(0.74–1.72)0.5650.950
Model 2 adjusted HRs (95% CI)Ref.1.05(0.88–1.24)0.5910.93(0.77–1.14)0.5011.18(0.88–1.59)0.2591.12(0.72–1.72)0.6180.789
Current smoker
Cases (n = 806), n 1892512765832
Model 1 adjusted HRs (95% CI)Ref.0.93(0.65–1.32)0.6740.83(0.58–1.18)0.2930.69(0.41–1.17)0.1680.52(0.24–1.11)0.0900.041
Model 2 adjusted HRs (95% CI)Ref.0.89(0.59–1.32)0.5550.68(0.45–1.02)0.0640.56(0.32–0.99)0.0450.41(0.18–0.91)0.0280.003

Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, history of stroke, history of heart disease, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. CI, confidence interval; HR, hazard ratio; Ref., reference.

Subgroup analysis of associations between consumption frequency and all‐sites cancer death in a Japanese cohort Model 1, adjusted for age‐group, sex, and region. Model 2, adjusted for age‐group, sex, region, history of hypertension, history of diabetes mellitus, history of stroke, history of heart disease, body mass index, smoking status, alcohol drinking, type of job, rice consumption, bread consumption, meat consumption, fish consumption, egg consumption, milk consumption, green and yellow vegetable consumption, non‐green and non‐yellow vegetable consumption, fruit consumption, miso soup consumption, pickled vegetable, black tea consumption, and green tea consumption. CI, confidence interval; HR, hazard ratio; Ref., reference.

Discussion

In the Three‐Prefecture Cohort Study, there was an inverse association between coffee consumption frequency and the risk of all‐sites cancer incidence and mortality, among men and women. The association between a greater frequency of coffee consumption and reduced all‐sites cancer incidence was similar to the results from a previous meta‐analysis of 40 prospective cohort studies, suggesting that coffee drinking had no harmful effect and that coffee consumption frequency was inversely associated with the risk of all‐sites cancer.23 Our results showing the inverse association between coffee consumption frequency and all‐sites cancer incidence and mortality provide valuable information for the prevention of cancer incidence and mortality in the general Japanese population. Importantly, our results also indicated that coffee consumption did not negatively affect cancer incidence in the Japanese population. Our results showed that the risk of all‐sites cancer mortality decreased among men and women who had a higher frequency of coffee consumption. However, the association between coffee consumption frequency and all‐sites cancer mortality may differ by the cancer site. For example, coffee consumption frequency has been reported to be a protective factor for liver cancer.17, 18, 19 Therefore, we also undertook a subgroup analysis excluding liver cancer incidence and mortality. The results for all‐sites cancer mortality among men and all‐sites cancer mortality among women were similar to those in model 2 (Table 4). In contrast, the International Agency for Research on Cancer Monograph working group reported that coffee was classified as “possibly carcinogenic to humans” (Group 2B) in 1991, but was evaluated as unclassifiable as to its carcinogenicity to humans (Group 3) in 2016.6 Thus, the balance of benefit and carcinogenicity by coffee consumption should be considered. The conclusion regarding the effect of coffee consumption on all‐site cancer incidence and mortality would be also confirmed by further meta‐analysis and pooled analysis using large‐scale cohorts including our results. The potential mechanism underlying the effect of coffee consumption on cancer incidence and mortality could be partly explained by the fact that coffee contains high concentrations of chlorogenic acid,24 which might have a beneficial effect on inflammatory diseases.25 An increase in plasma antioxidant levels3, 26 and a reduction in the biomarkers of oxidative stress24, 27 have been reported after drinking coffee. Long‐term inflammation in the body could be attributable to carcinogens,3 and high frequency of coffee consumption could decrease the risk of all‐sites cancer incidence by inhibiting inflammation. Furthermore, in a previous study,2, 3 and ours, the study subjects who did not consume coffee had a higher proportion of history of hypertension or diabetes than those with a high coffee intake. Therefore, the baseline health status of participants who never consumed coffee could be worse than that of participants with a high coffee intake, and the effect of coffee consumption may be greater among heavy coffee drinkers.3 However, subgroup analysis, excluding cases of death occurring within 3 years from baseline, indicated that coffee consumption frequency was, nevertheless, significantly associated with a reduced risk of all‐sites cancer mortality among men. We carried out a subgroup analysis according to smoking status to determine any residual confounding by smoking. If smoking status were a residual confounder, the risk reduction with coffee consumption would be greater among non‐smokers than among smokers. However, there was strong inverse effect on all‐sites cancer incidence among smokers, and there was weak inverse effect or no effect on all‐sites cancer incidence among never smokers. A potential explanation for this interaction is the following mechanism. Caffeine stimulates the production of cytochrome P450 enzymes, such as CYP1A2 or NAT2 in the liver, and these enzymes increase the metabolic activation of carcinogens, such as polycyclic aromatic hydrocarbons, in cigarette smoking.28, 29 Therefore, caffeine may modify the increased all‐sites cancer incidence risk caused by smoking. In addition, other factors, including sex, dietary components of food, beverages, and fitness level, also interact with caffeine metabolism.30, 31 Although we could not explain the detailed mechanisms from our results, bioactive components as presented above may suggest the possibility of a strong decreasing effect among smokers.

Limitations

This study has several limitations. First, the three prefectures did not use the same questionnaire to assess coffee consumption, and the estimated coffee consumption could be higher than reported because the categories were combined. In the sensitivity analysis by prefecture, we also assessed the difference in the risk between prefectures; the risk of all‐sites cancer incidence tended to be lower in the coffee consumption group than in the non‐coffee consumption group in each prefecture. Thus, this difference by prefecture was small but the category combination was a limitation. Second, this study followed participants until 2000 and the lifestyles of this study might differ from current lifestyles in 2016. However, coffee consumption in Japan has remained at the same level since 2000.32 Finally, we could not adjust for unknown confounding factors affecting the association between coffee consumption and cancer incidence and mortality. In this cohort, increasing coffee consumption resulted in a decreased risk of all‐sites cancer incidence and mortality.

Disclosure Statement

The authors have no conflict of interest. Table S1. Combination of instant coffee and brewed coffee consumption frequency in three Japanese prefectures Click here for additional data file. Table S2. Baseline persons by coffee consumption frequency in men and women in three Japanese prefectures Click here for additional data file. Table S3. Hazard ratios (HR) and 95% confidence intervals (CI) of all‐sites cancer according to coffee consumption category and sex in three Japanese prefectures Click here for additional data file.
  31 in total

1.  Intakes of antioxidants in coffee, wine, and vegetables are correlated with plasma carotenoids in humans.

Authors:  Arne Svilaas; Amrit Kaur Sakhi; Lene Frost Andersen; Tone Svilaas; Ellen C Ström; David R Jacobs; Leiv Ose; Rune Blomhoff
Journal:  J Nutr       Date:  2004-03       Impact factor: 4.798

2.  Consumption of coffee is associated with reduced risk of death attributed to inflammatory and cardiovascular diseases in the Iowa Women's Health Study.

Authors:  Lene Frost Andersen; David R Jacobs; Monica H Carlsen; Rune Blomhoff
Journal:  Am J Clin Nutr       Date:  2006-05       Impact factor: 7.045

3.  Chlorogenic acid and caffeic acid are absorbed in humans.

Authors:  M R Olthof; P C Hollman; M B Katan
Journal:  J Nutr       Date:  2001-01       Impact factor: 4.798

4.  Coffee consumption and markers of inflammation and endothelial dysfunction in healthy and diabetic women.

Authors:  Esther Lopez-Garcia; Rob M van Dam; Lu Qi; Frank B Hu
Journal:  Am J Clin Nutr       Date:  2006-10       Impact factor: 7.045

Review 5.  Clinically significant pharmacokinetic interactions between dietary caffeine and medications.

Authors:  J A Carrillo; J Benitez
Journal:  Clin Pharmacokinet       Date:  2000-08       Impact factor: 6.447

6.  Coffee consumption and risk of liver cancer: a meta-analysis.

Authors:  Susanna C Larsson; Alicja Wolk
Journal:  Gastroenterology       Date:  2007-03-24       Impact factor: 22.682

7.  Coffee consumption and risk of colorectal cancer in a population-based prospective cohort of Japanese men and women.

Authors:  Kyung-Jae Lee; Manami Inoue; Tetsuya Otani; Motoki Iwasaki; Shizuka Sasazuki; Shoichiro Tsugane
Journal:  Int J Cancer       Date:  2007-09-15       Impact factor: 7.396

8.  Risk of pancreatic cancer in relation to alcohol drinking, coffee consumption and medical history: findings from the Japan collaborative cohort study for evaluation of cancer risk.

Authors:  Yingsong Lin; Akiko Tamakoshi; Takashi Kawamura; Yutaka Inaba; Shogo Kikuchi; Yutaka Motohashi; Michiko Kurosawa; Yoshiyuki Ohno
Journal:  Int J Cancer       Date:  2002-06-10       Impact factor: 7.396

Review 9.  Coffee drinking: the rationale for treating it as a potential effect modifier of carcinogenic exposures.

Authors:  M Porta; J Vioque; D Ayude; J Alguacil; M Jariod; L Ruiz; J A Murillol
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

10.  Coffee and risk of death from hepatocellular carcinoma in a large cohort study in Japan.

Authors:  Y Kurozawa; I Ogimoto; A Shibata; T Nose; T Yoshimura; H Suzuki; R Sakata; Y Fujita; S Ichikawa; N Iwai; A Tamakoshi
Journal:  Br J Cancer       Date:  2005-09-05       Impact factor: 7.640

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  4 in total

Review 1.  Coffee consumption and breast cancer risk: a narrative review in the general population and in different subtypes of breast cancer.

Authors:  Astrid Nehlig; Nathalie Reix; Pauline Arbogast; Carole Mathelin
Journal:  Eur J Nutr       Date:  2021-01-13       Impact factor: 5.614

2.  Coffee consumption and all-cause and cause-specific mortality: a meta-analysis by potential modifiers.

Authors:  Youngyo Kim; Youjin Je; Edward Giovannucci
Journal:  Eur J Epidemiol       Date:  2019-05-04       Impact factor: 8.082

3.  Quantitative Proteomic Analysis Reveals Caffeine-Perturbed Proteomic Profiles in Normal Bladder Epithelial Cells.

Authors:  Muhammad Shahid; Minhyung Kim; Austin Yeon; Allen M Andres; Sungyong You; Jayoung Kim
Journal:  Proteomics       Date:  2018-10-11       Impact factor: 5.393

4.  Coffee Consumption and All-Cause, Cardiovascular, and Cancer Mortality in an Adult Mediterranean Population.

Authors:  Laura Torres-Collado; Laura María Compañ-Gabucio; Sandra González-Palacios; Leyre Notario-Barandiaran; Alejandro Oncina-Cánovas; Jesús Vioque; Manuela García-de la Hera
Journal:  Nutrients       Date:  2021-04-09       Impact factor: 5.717

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