Background: The aim of this study was to investigate the association of coffee and green tea consumption and the risk of malignant lymphoma and multiple myeloma in a large-scale population-based cohort study in Japan.

Methods: In this analysis, a total of 95,807 Japanese subjects (45,937 men and 49,870 women; ages 40–69 years at baseline) of the Japan Public Health Center-based Prospective Study who completed a questionnaire about their coffee and green tea consumption were followed up until December 31, 2012, for an average of 18 years. HRs and 95% confidence intervals were estimated using a Cox regression model adjusted for potential confounders as a measure of association between the risk of malignant lymphoma and multiple myeloma associated with coffee and green tea consumption at baseline.

Results: During the follow-up period, a total of 411 malignant lymphoma cases and 138 multiple myeloma cases were identified. Overall, our findings showed no significant association between coffee or green tea consumption and the risk of malignant lymphoma or multiple myeloma for both sexes.

Conclusions: In this study, we observed no significant association between coffee or green tea consumption and the risk of malignant lymphoma or multiple myeloma.

Impact: Our results do not support an association between coffee or green tea consumption and the risk of malignant lymphoma or multiple myeloma. Cancer Epidemiol Biomarkers Prev; 26(8); 1352–6. ©2017 AACR.

Several studies suggested that coffee and green tea consumption may decrease the risk of some types of cancers (1, 2). However, epidemiologic evidence for this protective effect on malignant lymphoma and multiple myeloma is scarce. Here, we investigated the association between coffee and green tea consumption and the risk of malignant lymphoma and multiple myeloma in a large-scale population-based cohort study in Japan.

Study population

The details of study design of the Japan Public Health Center–based Prospective Study have been detailed elsewhere (3). Briefly, the study was launched in 1990 for cohort I and in 1993 for cohort II. Cohort I covered five prefectural public health center (PHC) areas (Iwate, Akita, Nagano, Okinawa-Chubu, and Tokyo) and cohort II covered six (Ibaraki, Niigata, Kochi, Nagasaki, Okinawa-Miyako, and Osaka). A baseline self-administered questionnaire survey on various life-style factors, including coffee and green tea consumption, was conducted in 1990 for cohort I and in 1993 to 1994 for cohort II, with a high response rate (81%). In the current analysis, all subjects in one public health center area (Tokyo) were excluded because their incidence data were not available, and some subjects in another area (Suita, Osaka) were also excluded because different definitions of the study population had been applied. We further excluded participants met the following exclusion criteria: (i) non-Japanese nationality; (ii) late report of emigration before the start of the follow-up period; (iii) incorrect birth date; (iv) duplicate registration; (v) later withdrawal of consent; (vi) self-reported history of cancer at baseline survey; (vii) missing values for coffee or green tea consumption. Finally, a total of 95,807 Japanese subjects (45,937 men and 49,870 women; age 40–69 years at baseline) who completed a questionnaire about their coffee and green tea consumption were included in this analysis. The study protocol was approved by the institutional review boards of the National Cancer Center, Japan, and Aichi Cancer Center Research Institute.

Outcome

Cancers were identified by active patient notification from major local hospitals in the study area and by data collection from population-based cancer registries with approval. Information on the cause of death was supplemented by checking death certificate files with permission. Malignant lymphoma and multiple myeloma were coded using the International Classification of Diseases for Oncology, Third Edition (4). Malignant lymphoma (morphology code: 959–9729823) and multiple myeloma (9732) were included in the current analysis.

Exposure data

Exposure data are based on a baseline self-administered questionnaire survey about various health habits, including coffee and green tea consumption and other lifestyle factors. Information on coffee and green tea consumption was obtained in terms of the frequency and amount of each beverage consumed according to the following categories: hardly ever, 1–2 d/wk, 3–4 d/wk and almost daily (further divided into 1–2 cups/day, 3–4 cups/day or 5 cups/day). For the current analysis, we further grouped these categories based on their distribution among the subjects (coffee consumption: almost none, 1–4 times/week, 1–2 cups/day, ≥3 cups/day and green tea consumption: almost none, 1–4 times/week, 1–2 cups/day, 3–4 cups/day, ≥5 cups/day).

Statistical analysis

Person-years of follow-up from the date of baseline survey were calculated until the date of diagnosis of malignant lymphoma or multiple myeloma, date of death, move from the PHC area, or December 31, 2012, whichever occurred first. Multivariate-adjusted HRs and 95% confidence intervals (CI) of malignant lymphoma and multiple myeloma were calculated for coffee consumption (almost none, 1–4 times/week, 1–2 cups/day, ≥3 cups/day) and green tea consumption (almost none, 1–4 times/week, 1–2 cups/day, 3–4 cups/day, ≥5 cups/day) at baseline by a Cox proportional hazards model. We also evaluated the P value for trend by assignment of ordinal variables in each category. We estimated two types of HR: (i) adjusted for age at baseline (continuous), gender (men or women) and study area (10 PHC areas); and (ii) further adjusted for smoking status (never, former, and current smoker), alcohol consumption (nondrinkers, occasional drinkers, <300 ethanol intake/week and ≥300 ethanol intake/week), body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥30 kg/m2), and occupation (professional or office worker, sales clerk or other, farmer, manual laborer, unemployed, and missing). All statistical analyses were done using Stata version 13.1 software (Stata Corp.), with a P value <0.05 considered to be statistically significant.

During the follow-up period (average, 18.3 years), a total of 411 malignant lymphoma cases and 138 multiple myeloma cases were identified. Table 1 shows the baseline characteristics of study subjects according to coffee and green tea consumption at baseline. Both men and women with high coffee consumption were more likely to be smokers and tended to be younger than those who hardly drank. On the other hand, both men and women with higher green tea tended to be older.

Table 1.

Baseline characteristics of study subjects by coffee and green tea consumption

CoffeeGreen tea
Almost none1–4 times/week1–2 cups/day≥3 cups/dayAlmost none1–4 times/week1–2 cups/day3–4 cups/day≥5 cups/day
Men (n = 45,937) 
 Person-years 251,251 249,745 204,886 105,546 98,613 113,508 182,614 213,632 203,061 
 No. of subjects 14,353 13,940 11,614 6,030 5,465 6,326 10,501 12,216 11,429 
 Proportion (%) 31 30 25 13 12 14 23 27 25 
 Age (y) ±SD 53.8 ± 7.8 52.2 ± 7.8 51.0 ± 7.9 48.8 ± 7.4 50.7 ± 7.5 49.4 ± 7.3 51.1 ± 8.0 52.6 ± 8.2 54.0 ± 7.7 
 Body mass index (kg/m2) ± SD 23.0 ± 2.9 23.1 ± 2.8 23.0 ± 2.8 22.9 ± 3.0 23.4 ± 3.0 23.4 ± 3.0 23.0 ± 2.8 22.8 ± 2.8 22.9 ± 2.8 
 Smoking status (%) 
  Never smoker 28.9 25.5 22.2 13.5 28.3 27.0 24.6 23.6 21.8 
  Former smoker 27.9 24.8 21.8 15.5 21.8 21.7 23.2 54.9 25.1 
  Current smoker 43.3 49.8 56.0 71.0 49.9 51.3 52.2 51.5 54.1 
 Heavy drinker (≥300 ethanol g/wk; %) 29.1 25.4 22.4 19.1 25.9 26.1 25.2 24.4 24.2 
 Occupation (%) 
  Professionals and office workers 15.2 16.9 23.2 26.6 14.9 19.2 22.1 20.5 17.4 
  Sales clerk or others 19.8 22.2 24.2 28.0 24.2 25.3 23.2 21.8 21.2 
  Farmers 28.5 26.2 18.8 15.3 22.1 19.3 20.8 23.8 29.2 
  Manual laborers 16.6 27.8 27.4 25.8 29.9 30.1 27.5 26.2 24.5 
  Unemployed 8.5 5.9 5.5 3.5 7.4 5.0 5.5 6.7 6.9 
  Missing 1.4 1.0 0.9 0.9 1.5 1.2 1.0 1.1 0.9 
Women (n = 49,870) 
 Person-years 309,600 281,705 264,537 84,688 113,144 122,398 190,993 258,122 255,871 
 No. of subjects 16,541 14,798 13,987 4,544 5,849 6,349 10,140 13,877 13,655 
 Proportion (%) 33 30 28 12 13 20 28 27 
 Age (y) ±SD 55.2 ± 7.7 52.5 ± 7.8 50.2 ± 7.6 47.7 ± 6.9 50.7 ± 7.4 49.7 ± 7.3 51.3 ± 8.0 53.1 ± 8.2 54.1 ± 7.9 
 Body mass index (kg/m2) ± SD 23.2 ± 3.3 23.1 ± 3.1 22.9 ± 3.1 22.7 ± 3.1 23.2 ± 3.3 23.1 ± 3.2 22.9 ± 3.1 22.9 ± 3.1 23.1 ± 3.2 
 Smoking status (%) 
  Never smoker 94.4 94.3 91.7 81.5 90.7 91.9 93.0 93.8 91.5 
  Former smoker 1.3 1.4 1.5 2.3 2.0 1.5 1.4 1.2 1.6 
  Current smoker 4.4 4.3 6.9 16.3 7.2 6.6 5.6 5.0 6.9 
 Heavy drinker (≥300 ethanol g/wk; %) 1.0 1.0 0.8 1.2 1.4 1.7 0.7 0.6 0.9 
 Occupation (%) 
  Professionals and office workers 6.5 9.3 16.0 21.4 9.0 12.5 14.3 11.5 9.3 
  Sales clerk or others 15.2 17.1 20.8 25.3 19.0 20.8 19.2 17.2 17.2 
  Farmers 28.4 25.9 16.0 10.9 22.7 17.9 19.9 23.0 26.3 
  Manual laborers 11.9 13.5 15.5 14.2 15.9 16.2 15.8 12.8 10.4 
  Unemployed 36.9 33.3 30.8 27.2 31.9 31.2 29.7 34.6 36.0 
  Missing 1.1 1.0 1.0 1.0 1.4 1.3 1.1 0.9 0.8 
CoffeeGreen tea
Almost none1–4 times/week1–2 cups/day≥3 cups/dayAlmost none1–4 times/week1–2 cups/day3–4 cups/day≥5 cups/day
Men (n = 45,937) 
 Person-years 251,251 249,745 204,886 105,546 98,613 113,508 182,614 213,632 203,061 
 No. of subjects 14,353 13,940 11,614 6,030 5,465 6,326 10,501 12,216 11,429 
 Proportion (%) 31 30 25 13 12 14 23 27 25 
 Age (y) ±SD 53.8 ± 7.8 52.2 ± 7.8 51.0 ± 7.9 48.8 ± 7.4 50.7 ± 7.5 49.4 ± 7.3 51.1 ± 8.0 52.6 ± 8.2 54.0 ± 7.7 
 Body mass index (kg/m2) ± SD 23.0 ± 2.9 23.1 ± 2.8 23.0 ± 2.8 22.9 ± 3.0 23.4 ± 3.0 23.4 ± 3.0 23.0 ± 2.8 22.8 ± 2.8 22.9 ± 2.8 
 Smoking status (%) 
  Never smoker 28.9 25.5 22.2 13.5 28.3 27.0 24.6 23.6 21.8 
  Former smoker 27.9 24.8 21.8 15.5 21.8 21.7 23.2 54.9 25.1 
  Current smoker 43.3 49.8 56.0 71.0 49.9 51.3 52.2 51.5 54.1 
 Heavy drinker (≥300 ethanol g/wk; %) 29.1 25.4 22.4 19.1 25.9 26.1 25.2 24.4 24.2 
 Occupation (%) 
  Professionals and office workers 15.2 16.9 23.2 26.6 14.9 19.2 22.1 20.5 17.4 
  Sales clerk or others 19.8 22.2 24.2 28.0 24.2 25.3 23.2 21.8 21.2 
  Farmers 28.5 26.2 18.8 15.3 22.1 19.3 20.8 23.8 29.2 
  Manual laborers 16.6 27.8 27.4 25.8 29.9 30.1 27.5 26.2 24.5 
  Unemployed 8.5 5.9 5.5 3.5 7.4 5.0 5.5 6.7 6.9 
  Missing 1.4 1.0 0.9 0.9 1.5 1.2 1.0 1.1 0.9 
Women (n = 49,870) 
 Person-years 309,600 281,705 264,537 84,688 113,144 122,398 190,993 258,122 255,871 
 No. of subjects 16,541 14,798 13,987 4,544 5,849 6,349 10,140 13,877 13,655 
 Proportion (%) 33 30 28 12 13 20 28 27 
 Age (y) ±SD 55.2 ± 7.7 52.5 ± 7.8 50.2 ± 7.6 47.7 ± 6.9 50.7 ± 7.4 49.7 ± 7.3 51.3 ± 8.0 53.1 ± 8.2 54.1 ± 7.9 
 Body mass index (kg/m2) ± SD 23.2 ± 3.3 23.1 ± 3.1 22.9 ± 3.1 22.7 ± 3.1 23.2 ± 3.3 23.1 ± 3.2 22.9 ± 3.1 22.9 ± 3.1 23.1 ± 3.2 
 Smoking status (%) 
  Never smoker 94.4 94.3 91.7 81.5 90.7 91.9 93.0 93.8 91.5 
  Former smoker 1.3 1.4 1.5 2.3 2.0 1.5 1.4 1.2 1.6 
  Current smoker 4.4 4.3 6.9 16.3 7.2 6.6 5.6 5.0 6.9 
 Heavy drinker (≥300 ethanol g/wk; %) 1.0 1.0 0.8 1.2 1.4 1.7 0.7 0.6 0.9 
 Occupation (%) 
  Professionals and office workers 6.5 9.3 16.0 21.4 9.0 12.5 14.3 11.5 9.3 
  Sales clerk or others 15.2 17.1 20.8 25.3 19.0 20.8 19.2 17.2 17.2 
  Farmers 28.4 25.9 16.0 10.9 22.7 17.9 19.9 23.0 26.3 
  Manual laborers 11.9 13.5 15.5 14.2 15.9 16.2 15.8 12.8 10.4 
  Unemployed 36.9 33.3 30.8 27.2 31.9 31.2 29.7 34.6 36.0 
  Missing 1.1 1.0 1.0 1.0 1.4 1.3 1.1 0.9 0.8 

Table 2 shows the adjusted HRs for malignant lymphoma and multiple myeloma in relation to coffee and green tea consumption. Overall, we observed no significant association between coffee or green tea consumption and the risk of malignant lymphoma for both sexes. Similarly, we observed no significant association with the risk of multiple myeloma for both sexes.

Table 2.

HRs and 95% CIs of malignant lymphoma and multiple myeloma according to coffee and green tea consumption

CoffeeGreen tea
Almost none1–4 times/week1–2 cups/day≥3 cups/dayPtrendAlmost none1–4 times/week1–2 cups/day3–4 cups/day≥5 cups/dayPtrend
Malignant lymphoma 
 Total 
  Person-years 560,851 531,449 469,423 190,233  211,756 235,907 373,607 471,754 458,931  
  No. of cases 148 132 92 39  41 37 104 123 106  
  HRa (95% CI) 1.00 (Reference) 1.06 (0.83–1.34) 0.97 (0.74–1.27) 1.14 (0.79–1.65) 0.738 1.00 (Reference) 0.87 (0.55–1.35) 1.35 (0.93–1.96) 1.13 (0.79–1.64) 0.91 (0.63–1.32) 0.522 
  HRb (95% CI) 1.00 (Reference) 1.04 (0.82–1.32) 0.98 (0.75–1.29) 1.16 (0.80–1.69) 0.678 1.00 (Reference) 0.84 (0.53–1.31) 1.38 (0.92–1.94) 1.10 (0.76–1.59) 0.89 (0.61–1.29) 0.462 
 Men 
  Person-years 251,251 249,745 204,886 105,546  98,613 113,508 182,614 213,632 203,061  
  No. of cases 70 80 57 30  22 20 62 68 65  
  HRc (95% CI) 1.00 (Reference) 1.25 (0.90–1.72) 1.19 (0.83–1.71) 1.43 (0.92–2.23) 0.130 1.00 (Reference) 0.88 (0.48–1.62) 1.52 (0.92–2.50) 1.28 (0.78–2.11) 1.14 (0.69–1.89) 0.599 
  HRd (95% CI) 1.00 (Reference) 1.21 (0.87–1.68) 1.20 (0.83–1.73) 1.45 (0.92–2.30) 0.126 1.00 (Reference) 0.81 (0.44–1.50) 1.45 (0.87–2.39) 1.21 (0.73–2.00) 1.08 (0.65–1.79) 0.693 
 Women 
  Person-years 309,600 281,705 264,537 84,688  113,144 122,398 190,993 258,122 255,871  
  No. of cases 78 52 35  19 17 42 55 41  
  HRc (95% CI) 1.00 (Reference) 0.88 (0.62–1.25) 0.76 (0.50–1.15) 0.76 (0.37–1.55) 0.178 1.00 (Reference) 0.85 (0.44–1.64) 1.17 (0.67–2.03) 0.97 (0.56–1.67) 0.66 (0.38–1.17) 0.107 
  HRd (95% CI) 1.00 (Reference) 0.89 (0.62–1.28) 0.81 (0.53–1.24) 0.82 (0.40–1.68) 0.315 1.00 (Reference) 0.87 (0.45–1.69) 1.21 (0.70–2.11) 0.96 (0.56–1.67) 0.67 (0.38–1.19) 0.101 
Multiple myeloma 
 Total 
  Person-years 560,851 531,449 469,423 190,233  211,756 235,907 373,607 471,754 458,931  
  No. of cases 52 48 27 11  14 15 24 51 34  
  HRa (95% CI) 1.00 (Reference) 1.12 (0.76–1.67) 0.85 (0.52–1.38) 0.98 (0.50–1.93) 0.680 1.00 (Reference) 0.97 (0.47–2.03) 0.82 (0.42–1.61) 1.18 (0.64–2.19) 0.73 (0.38–1.39) 0.483 
  HRb (95% CI) 1.00 (Reference) 1.10 (0.73–1.63) 0.89 (0.55–1.45) 1.13 (0.57–2.25) 0.972 1.00 (Reference) 0.98 (0.47–2.03) 0.84 (0.43–1.66) 1.18 (0.64–2.20) 0.74 (0.38–1.41) 0.500 
 Men 
  Person-years 251,251 249,745 204,886 105,546  98,613 113,508 182,614 213,632 203,061  
  No. of cases 22 28 11  12 25 14  
  HRc (95% CI) 1.00 (Reference) 1.43 (0.82–2.50) 0.81 (0.39–1.70) 0.86 (0.32–2.33) 0.615 1.00 (Reference) 0.80 (0.29–2.22) 0.72 (0.29–1.81) 1.10 (0.48–2.53) 0.55 (0.22–1.37) 0.384 
  HRd (95% CI) 1.00 (Reference) 1.36 (0.77–2.42) 0.87 (0.41–1.83) 0.98 (0.36–2.71) 0.839 1.00 (Reference) 0.81 (0.29–2.28) 0.77 (0.31–1.94) 1.13 (0.49–2.61) 0.55 (0.22–1.37) 0.371 
 Women 
  Person-years 309,600 281,705 264,537 84,688  113,144 122,398 190,993 258,122 255,871  
  No. of cases 30 20 16  12 26 20  
  HRc (95% CI) 1.00 (Reference) 0.85 (0.47–1.50) 0.85 (0.45–1.63) 1.14 (0.45–2.87) 0.874 1.00 (Reference) 1.21 (0.42–3.51) 0.95 (0.35–2.59) 1.28 (0.51–3.23) 0.92 (0.36–2.38) 0.830 
  HRd (95% CI) 1.00 (Reference) 0.83 (0.47–1.48) 0.84 (0.44–1.62) 1.25 (0.49–3.17) 0.936 1.00 (Reference) 1.18 (0.41–3.44) 0.93 (0.34–2.53) 1.25 (0.50–3.15) 0.92 (0.36–2.38) 0.847 
CoffeeGreen tea
Almost none1–4 times/week1–2 cups/day≥3 cups/dayPtrendAlmost none1–4 times/week1–2 cups/day3–4 cups/day≥5 cups/dayPtrend
Malignant lymphoma 
 Total 
  Person-years 560,851 531,449 469,423 190,233  211,756 235,907 373,607 471,754 458,931  
  No. of cases 148 132 92 39  41 37 104 123 106  
  HRa (95% CI) 1.00 (Reference) 1.06 (0.83–1.34) 0.97 (0.74–1.27) 1.14 (0.79–1.65) 0.738 1.00 (Reference) 0.87 (0.55–1.35) 1.35 (0.93–1.96) 1.13 (0.79–1.64) 0.91 (0.63–1.32) 0.522 
  HRb (95% CI) 1.00 (Reference) 1.04 (0.82–1.32) 0.98 (0.75–1.29) 1.16 (0.80–1.69) 0.678 1.00 (Reference) 0.84 (0.53–1.31) 1.38 (0.92–1.94) 1.10 (0.76–1.59) 0.89 (0.61–1.29) 0.462 
 Men 
  Person-years 251,251 249,745 204,886 105,546  98,613 113,508 182,614 213,632 203,061  
  No. of cases 70 80 57 30  22 20 62 68 65  
  HRc (95% CI) 1.00 (Reference) 1.25 (0.90–1.72) 1.19 (0.83–1.71) 1.43 (0.92–2.23) 0.130 1.00 (Reference) 0.88 (0.48–1.62) 1.52 (0.92–2.50) 1.28 (0.78–2.11) 1.14 (0.69–1.89) 0.599 
  HRd (95% CI) 1.00 (Reference) 1.21 (0.87–1.68) 1.20 (0.83–1.73) 1.45 (0.92–2.30) 0.126 1.00 (Reference) 0.81 (0.44–1.50) 1.45 (0.87–2.39) 1.21 (0.73–2.00) 1.08 (0.65–1.79) 0.693 
 Women 
  Person-years 309,600 281,705 264,537 84,688  113,144 122,398 190,993 258,122 255,871  
  No. of cases 78 52 35  19 17 42 55 41  
  HRc (95% CI) 1.00 (Reference) 0.88 (0.62–1.25) 0.76 (0.50–1.15) 0.76 (0.37–1.55) 0.178 1.00 (Reference) 0.85 (0.44–1.64) 1.17 (0.67–2.03) 0.97 (0.56–1.67) 0.66 (0.38–1.17) 0.107 
  HRd (95% CI) 1.00 (Reference) 0.89 (0.62–1.28) 0.81 (0.53–1.24) 0.82 (0.40–1.68) 0.315 1.00 (Reference) 0.87 (0.45–1.69) 1.21 (0.70–2.11) 0.96 (0.56–1.67) 0.67 (0.38–1.19) 0.101 
Multiple myeloma 
 Total 
  Person-years 560,851 531,449 469,423 190,233  211,756 235,907 373,607 471,754 458,931  
  No. of cases 52 48 27 11  14 15 24 51 34  
  HRa (95% CI) 1.00 (Reference) 1.12 (0.76–1.67) 0.85 (0.52–1.38) 0.98 (0.50–1.93) 0.680 1.00 (Reference) 0.97 (0.47–2.03) 0.82 (0.42–1.61) 1.18 (0.64–2.19) 0.73 (0.38–1.39) 0.483 
  HRb (95% CI) 1.00 (Reference) 1.10 (0.73–1.63) 0.89 (0.55–1.45) 1.13 (0.57–2.25) 0.972 1.00 (Reference) 0.98 (0.47–2.03) 0.84 (0.43–1.66) 1.18 (0.64–2.20) 0.74 (0.38–1.41) 0.500 
 Men 
  Person-years 251,251 249,745 204,886 105,546  98,613 113,508 182,614 213,632 203,061  
  No. of cases 22 28 11  12 25 14  
  HRc (95% CI) 1.00 (Reference) 1.43 (0.82–2.50) 0.81 (0.39–1.70) 0.86 (0.32–2.33) 0.615 1.00 (Reference) 0.80 (0.29–2.22) 0.72 (0.29–1.81) 1.10 (0.48–2.53) 0.55 (0.22–1.37) 0.384 
  HRd (95% CI) 1.00 (Reference) 1.36 (0.77–2.42) 0.87 (0.41–1.83) 0.98 (0.36–2.71) 0.839 1.00 (Reference) 0.81 (0.29–2.28) 0.77 (0.31–1.94) 1.13 (0.49–2.61) 0.55 (0.22–1.37) 0.371 
 Women 
  Person-years 309,600 281,705 264,537 84,688  113,144 122,398 190,993 258,122 255,871  
  No. of cases 30 20 16  12 26 20  
  HRc (95% CI) 1.00 (Reference) 0.85 (0.47–1.50) 0.85 (0.45–1.63) 1.14 (0.45–2.87) 0.874 1.00 (Reference) 1.21 (0.42–3.51) 0.95 (0.35–2.59) 1.28 (0.51–3.23) 0.92 (0.36–2.38) 0.830 
  HRd (95% CI) 1.00 (Reference) 0.83 (0.47–1.48) 0.84 (0.44–1.62) 1.25 (0.49–3.17) 0.936 1.00 (Reference) 1.18 (0.41–3.44) 0.93 (0.34–2.53) 1.25 (0.50–3.15) 0.92 (0.36–2.38) 0.847 

aHRs are adjusted for age at baseline (continuous), gender (men or women), and study area (10 PHC areas).

bHRs are adjusted for age at baseline (continuous), gender (men or women), smoking status (never, former, and current smoker), alcohol consumption (nondrinkers, occasional drinkers, <300 and ≥300 ethanol intake/week), body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥30 kg/m2), occupation (professional or office worker, sales clerk, or other, farmer, manual laborer, unemployed, and missing), and study area (10 PHC areas).

cHRs are adjusted for age at baseline (continuous) and study area (10 PHC areas).

dHRs are adjusted for age at baseline (continuous), smoking status (never, former, and current smoker), alcohol consumption (nondrinkers, occasional drinkers, <300 and ≥300 ethanol intake/week), body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥30 kg/m2), occupation (professional or office worker, sales clerk, or other, farmer, manual laborer, unemployed and missing), and study area (10 PHC areas).

In this large Japanese population-based cohort study, we observed no significant association between coffee or green tea consumption and the risk of malignant lymphoma or multiple myeloma.

Consistent with our results, a recent meta-analysis has reported that there was no sufficient evidence to support an association between coffee consumption and the risk of malignant lymphoma, with a pooled relative risk for coffee drinker relative to non/occasional drinker of 1.05 (95% CI, 0.89–1.23; ref. 5). In addition, a few studies investigated the association between coffee consumption and the risk of multiple myeloma, but no study showed a significant association. In contrast, two studies reported that green tea consumption reduced the risk of malignant lymphoma and multiple myeloma. The Ohsaki Study, a population-based cohort study in Japan which involved 41,761 participants and 119 lymphoid neoplasm cases, reported that green tea consumption was inversely associated with the risk of lymphoid neoplasms, including malignant lymphoma and multiple myeloma (≥5 cups/day vs. <1 cup/day; HR, 0.52; 95% CI, 0.31–0.87; ref. 6). A case-control study of 220 multiple myeloma cases and 220 controls in Northwest China also reported that green tea was significantly associated with a reduced risk of multiple myeloma (>1 times/month vs. never; OR, 0.38; 95% CI, 0.27–0.53; ref. 7). Inconsistency with our finding might be from modest sample size or retrospective design.

In summary, our results do not support an association between coffee or green tea consumption and the risk of malignant lymphoma or multiple myeloma. Further research is needed to confirm our results.

M. Inoue is the beneficiary of a financial contribution from the AXA Research fund as chair holder of the AXA Department of Health and Human Security, Graduate School of Medicine, The University of Tokyo. No potential conflicts of interest were disclosed by the other authors.

The AXA Research Fund had no role in the design of the study, data collection, analysis, interpretation, or manuscript drafting, or in the decision to submit the manuscript for publication.

Conception and design: T. Ugai, K. Matsuo, M. Inoue, S. Tsugane

Development of methodology: K. Matsuo, M. Inoue

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): N. Sawada, M. Iwasaki, T. Shimazu, M. Inoue, S. Tsugane

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): T. Ugai, K. Matsuo, M. Iwasaki, T. Shimazu, S. Tsugane

Writing, review, and/or revision of the manuscript: T. Ugai, K. Matsuo, M. Iwasaki, T. Yamaji, T. Shimazu, S. Sasazuki, M. Inoue, Y. Kanda, S. Tsugane

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K. Matsuo, N. Sawada, S. Tsugane

Study supervision: K. Matsuo, S. Tsugane

We are indebted to the Aomori, Akita, Iwate, Ibaraki, Niigata, Osaka, Kochi, Nagasaki, and Okinawa Cancer Registries for providing their incidence data. Members of the Japan Public Health Center-based Prospective Study (JPHC Study, principal investigator: S. Tsugane) Group are: S. Tsugane, N. Sawada, M. Iwasaki, S. Sasazuki, T. Yamaji, T. Shimazu and T. Hanaoka, National Cancer Center, Tokyo; J. Ogata, S. Baba, T. Mannami, A.Okayama, and Y. Kokubo, National Cerebral and Cardiovascular Center, Osaka; K. Miyakawa, F. Saito, A. Koizumi, Y. Sano, I. Hashimoto, T. Ikuta, Y. Tanaba, H. Sato, Y. Roppongi, T. Takashima and H. Suzuki, Iwate Prefectural Ninohe Public Health Center, Iwate; Y. Miyajima, N. Suzuki, S. Nagasawa, Y. Furusugi, N. Nagai, Y. Ito, S. Komatsu and T. Minamizono, Akita Prefectural Yokote Public Health Center, Akita; H. Sanada, Y. Hatayama, F. Kobayashi, H. Uchino, Y. Shirai, T. Kondo, R. Sasaki, Y. Watanabe, Y. Miyagawa, Y. Kobayashi, M. Machida, K. Kobayashi and M. Tsukada, Nagano Prefectural Saku Public Health Center, Nagano; Y. Kishimoto, E. Takara, T. Fukuyama, M. Kinjo, M. Irei, and H. Sakiyama, Okinawa Prefectural Chubu Public Health Center, Okinawa; K. Imoto, H. Yazawa, T. Seo, A. Seiko, F. Ito, F. Shoji and R. Saito, Katsushika Public Health Center, Tokyo; A. Murata, K. Minato, K. Motegi, T. Fujieda and S. Yamato, Ibaraki Prefectural Mito Public Health Center, Ibaraki; K. Matsui, T. Abe, M. Katagiri, M. Suzuki, and K. Matsui, Niigata Prefectural Kashiwazaki and Nagaoka Public Health Center, Niigata; M. Doi, A. Terao, Y. Ishikawa, and T. Tagami, Kochi Prefectural Chuo-higashi Public Health Center, Kochi; H. Sueta, H. Doi, M. Urata, N. Okamoto, F. Ide, H. Goto and R Fujita, Nagasaki Prefectural Kamigoto Public Health Center, Nagasaki; H. Sakiyama, N. Onga, H. Takaesu, M. Uehara, T. Nakasone and M. Yamakawa, Okinawa Prefectural Miyako Public Health Center, Okinawa; F. Horii, I. Asano, H. Yamaguchi, K. Aoki, S. Maruyama, M. Ichii, and M. Takano, Osaka Prefectural Suita Public Health Center, Osaka; Y. Tsubono, Tohoku University, Miyagi; K. Suzuki, Research Institute for Brain and Blood Vessels Akita, Akita; Y. Honda, K. Yamagishi, S. Sakurai and N. Tsuchiya, University of Tsukuba, Ibaraki; M. Kabuto, National Institute for Environmental Studies, Ibaraki; M. Yamaguchi, Y. Matsumura, S. Sasaki, and S. Watanabe, National Institute of Health and Nutrition, Tokyo; M. Akabane, Tokyo University of Agriculture, Tokyo; T. Kadowaki and M. Inoue, The University of Tokyo, Tokyo; M. Noda and T. Mizoue, National Center for Global Health and Medicine, Tokyo; Y. Kawaguchi, Tokyo Medical and Dental University, Tokyo; Y. Takashima and Y. Yoshida, Kyorin University, Tokyo; K. Nakamura and R. Takachi, Niigata University, Niigata; J. Ishihara, Sagami Women's University, Kanagawa; S. Matsushima and S. Natsukawa, Saku General Hospital, Nagano; H. Shimizu, Sakihae Institute, Gifu; H. Sugimura, Hamamatsu University School of Medicine, Shizuoka; S. Tominaga, Aichi Cancer Center, Aichi; N. Hamajima, Nagoya University, Aichi; H. Iso and T. Sobue, Osaka University, Osaka; M. Iida, W. Ajiki, and A. Ioka, Osaka Medical Center for Cancer and Cardiovascular Disease, Osaka; S. Sato, Chiba Prefectural Institute of Public Health, Chiba; E. Maruyama, Kobe University, Hyogo; M. Konishi, K. Okada, and I. Saito, Ehime University, Ehime; N. Yasuda, Kochi University, Kochi; S. Kono, Kyushu University, Fukuoka; S. Akiba, Kagoshima University, Kagoshima; T. Isobe, Keio University, Tokyo; Y. Sato, Tokyo Gakugei University, Tokyo.

This study was supported by National Cancer Center Research and Development Fund [23-A-31(toku) and 26-A-2; since 2011] and a Grant-in-Aid for Cancer Research from the Ministry of Health, Labor and Welfare of Japan (from 1989 to 2010).

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