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Coffee Intake and Gastric Cancer Risk: The Singapore Chinese Health Study

Cheryl E. Ainslie-Waldman, Woon-Puay Koh, Aizhen Jin, Khay Guan Yeoh, Feng Zhu, Renwei Wang, Jian-Min Yuan and Lesley M. Butler
Cheryl E. Ainslie-Waldman
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Woon-Puay Koh
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Aizhen Jin
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Khay Guan Yeoh
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Feng Zhu
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Renwei Wang
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Jian-Min Yuan
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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Lesley M. Butler
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
1Division of Epidemiology and Community Health, University of Minnesota, Minneapolis; 2Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota; 3Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute; 4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; 5Duke-NUS Graduate Medical School Singapore, Singapore; 6Saw Swee Hock School of Public Health and 7Department of Medicine, National University of Singapore, Singapore; 8National Registry of Diseases Office, Health Promotion Board; and 9Department of Gastroenterology and Hepatology, National University Health System, Singapore
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DOI: 10.1158/1055-9965.EPI-13-0886 Published April 2014
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Tables

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  • Table 1.

    Distribution of selected baseline characteristics stratified by sex and coffee intake frequency

    MenWomen
    Coffee intakeCoffee intake
    Characteristic<1 cup/day1 cup/day2–3 cups/day≥4 cups/day<1 cup/day1 cup/day2–3 cups/day≥4 cups/day
    Person years of follow-up108,838118,655136,91422,002155,252207,347140,41113,742
    Mean age, y (SD)57 (8)57 (8)56 (8)55 (7)56 (8)56 (8)56 (8)56 (8)
    Body mass index, kg/m2 (%)
     <2013.615.617.020.115.914.114.415.3
     20–<2451.853.054.254.254.654.755.256.2
     24–<2827.525.323.120.521.523.322.520.3
     ≥287.16.25.85.28.07.97.98.2
    Education, ≥secondary level (%)43.137.834.933.926.119.417.015.3
    Smoking status (%)
     Never53.444.135.019.494.791.688.476.7
     Former23.522.419.914.42.12.72.63.4
     Current23.133.545.166.23.25.89.120.0
    Alcohol use, ≥1 drink/week (%)18.524.124.824.23.64.55.98.5
    History of ulcer (% yes)6.64.13.75.63.31.81.83.0
    History of diabetes (% yes)10.98.97.06.010.89.37.55.0
    Additions to coffee or tea (% yes)
     Sugar48.171.778.583.236.964.574.584.7
     Milk50.950.748.138.342.347.445.134.6
    Mean daily intake (SD)
     Total energy, kcal1,697 (584)1,702 (599)1,816 (618)1,929 (674)1,369 (465)1,366 (451)1,466 (493)1,568 (558)
     Caffeine, mg/1,000 kcal45.6 (46.9)81.3 (43.2)151.4 (59.3)255.8 (105.0)33.8 (42.8)86.1 (40.7)173.3 (65.4)306.1 (114.8)
     Fruit, g/1,000 kcal132.8 (96.8)129.0 (91.6)110.5 (83.1)92.6 (75.3)146.8 (108.7)143.0 (102.8)121.9 (92.6)97.3 (93.2)
     Vegetables, g/1,000 kcal67.3 (32.5)65.9 (30.3)61.5 (29.5)56.5 (27.6)82.5 (39.0)80.9 (36.0)74.4 (34.2)70.2 (34.3)
  • Table 2.

    HR and 95% CIs for baseline characteristics in relation to gastric cancer risk

    OverallMenWomen
    Cases, nHR (95% CI)Cases, nHR (95% CI)Cases, nHR (95% CI)
    N647394253
    Education
     No formal education2241.00a641.00a1601.00a
     Primary level3090.87 (0.72–1.05)2431.11 (0.84–1.47)660.61 (0.45–0.82)
     ≥Secondary level1140.63 (0.49–0.81)870.74 (0.53–1.04)270.59 (0.38–0.90)
     Ptrend<0.0010.0320.001
    Body mass index, kg/m2
     <20801.00a451.00a351.00a
     20–<243671.26 (0.99–1.60)2241.46 (1.06–2.02)1431.00 (0.69–1.45)
     24–<281441.24 (0.94–1.63)931.51 (1.06–2.16)510.92 (0.59–1.42)
     ≥28561.71 (1.21–2.42)322.24 (1.41–3.53)241.20 (0.71–2.02)
     Ptrend0.0120.0020.774
    Self-reported diabetes
     No5881.00a3661.00a2221.00a
     Yes591.01 (0.77–1.33)280.84 (0.57–1.23)311.27 (0.86–1.85)
    History of ulcer
     No6191.00a3751.00a2441.00a
     Yes281.03 (0.71–1.51)190.93 (0.58–1.48)91.42 (0.73–2.77)
    Smoking status
     Never3511.00b1341.00b2171.00b
     Former901.16 (0.84–1.62)791.00 (0.70–1.44)112.32 (0.99–5.42)
     Current2061.70 (1.33–2.17)1811.64 (1.25–2.15)251.82 (0.95–3.47)
    Alcohol use
     Nondrinker5471.00a3051.00a2421.00a
     <7 drinks/week681.21 (0.94–1.57)601.25 (0.95–1.65)81.06 (0.52–2.15)
     ≥7 drinks/week321.13 (0.78–1.62)291.16 (0.79–1.71)30.99 (0.32–3.09)
     Ptrend0.2080.1690.936
    Fruit intake
     Quartile 12091.00c1151.00c941.00c
     Quartile 21751.02 (0.83–1.25)1091.10 (0.84–1.43)660.91 (0.66–1.26)
     Quartile 31400.88 (0.70–1.10)860.88 (0.66–1.18)540.90 (0.63–1.28)
     Quartile 41230.80 (0.63–1.03)840.83 (0.60–1.13)390.78 (0.52–1.19)
     Ptrend0.0530.1280.265
    Vegetable intake
     Quartile 11981.00c1081.00c901.00c
     Quartile 21670.98 (0.80–1.21)1031.10 (0.83–1.44)640.86 (0.62–1.19)
     Quartile 31510.98 (0.78–1.23)1011.18 (0.89–1.57)500.76 (0.52–1.09)
     Quartile 41310.98 (0.72–1.21)820.98 (0.70–1.37)490.91 (0.60–1.37)
     Ptrend0.6270.8450.408
    • ↵aHRs are adjusted for age (years), gender (in overall model only), interview year (1993–1995, 1996–1998), dialect (Hokkien, Cantonese), cigarette smoking status (never, former, current), number of cigarettes smoked per day (never, 1–12, ≥13), years smoked (never, 1–39, ≥40), and body mass index (<20, 20–<24, 24–<28, ≥28 kg/m2).

    • ↵bHRs are adjusted for same covariates as listed above (a), excluding cigarette smoking status.

    • cHRs are adjusted for same covariates as listed above (a), including total energy intake (kcal/day).

  • Table 3.

    Coffee and caffeine intake and gastric cancer risk

    OverallMenWomen
    Cases, nHR (95% CI)Cases, nHR (95% CI)Cases, nHR (95% CI)
    Coffee intake
     Never/monthly1321.00a751.00a571.00a
     Weekly611.06 (0.78–1.44)320.95 (0.62–1.43)291.22 (0.78–1.92)
     1 cup/day1990.84 (0.66–1.07)1180.98 (0.72–1.33)810.66 (0.45–0.97)
     2–3 cups/day2231.00 (0.71–1.40)1471.12 (0.74–1.69)760.81 (0.45–1.47)
     ≥4 cups/day320.93 (0.49–1.79)221.06 (0.48–2.32)b100.76 (0.23–2.53)b
     Ptrend0.4490.7190.068
     Nondaily1931.00a1071.00a861.00a
     Daily4540.85 (0.69–1.04)2871.03 (0.79–1.34)c1670.63 (0.46–0.87)c
    Caffeine intaked
     Q1 (lowest)1611.00d851.00e761.00e
     Q21340.78 (0.62–0.98)860.89 (0.66–1.21)480.66 (0.46–0.94)
     Q31570.86 (0.69–1.07)1081.02 (0.76–1.36)490.65 (0.45–0.94)
     Q4 (highest)1950.98 (0.79–1.22)1151.02 (0.75–1.37)f800.98 (0.71–1.36)f
     Ptrend0.8690.6850.902
    • ↵aHRs are adjusted for age (years), gender (in overall model only), interview year (1993–1995, 1996–1998), dialect (Hokkien, Cantonese), education (less than secondary, secondary or greater), cigarette smoking status (never, former, current), number of cigarettes smoked per day (never, 1–12, ≥13), years smoked (never, 1–39, ≥40), body mass index (<20, 20–<24, 24–<28, ≥28 kg/m2), caffeine (mg/day), and total energy intake (kcal/day).

    • ↵bP for sex interaction = 0.733.

    • ↵cP for sex interaction = 0.184.

    • ↵dThe following are the cutpoints for first through fourth quartiles of caffeine intake (mg/day): <71.2, 71.2–114.0, 114.1–224.1, >224.1.

    • ↵eHRs are adjusted for same covariates as listed above (a), excluding caffeine and with the addition of alcohol consumption (never, ever).

    • ↵fP for sex interaction = 0.948.

  • Table 4.

    Coffee intake and gastric cancer risk by smoking status, alcohol use, and body mass index

    OverallMenWomen
    Coffee intakeCases, nHR (95% CI)Cases, nHR (95% CI)Cases, nHR (95% CI)
    Never smokers
     Nondaily1321.00a481.00a841.00a
     Daily2190.71 (0.54–0.92)861.06 (0.69–1.63)1330.54 (0.38–0.76)
    Ever smokers
     Nondaily611.00b591.00b21.00b
     Daily2351.10 (0.79–1.52)2011.00 (0.72–1.41)343.36 (0.75–15.03)
    Alcohol nondrinkers
     Nondaily1671.00a831.00a841.00a
     Daily3800.84 (0.67–1.05)2221.09 (0.80–1.47)1580.61 (0.44–0.84)
    Alcohol drinkers
     Nondaily261.00a241.00a21.00a
     Daily740.84 (0.5–1.42)650.80 (0.46–1.38)91.41 (0.24–8.18)
    BMI (<23.1 kg/m2)
     Nondaily871.00c511.00c361.00c
     Daily2260.91 (0.68–1.23)1631.13 (0.78–1.64)630.59 (0.35–0.99)
    BMI (≥23.1 kg/m2)
     Nondaily1061.00c561.00c501.00c
     Daily2280.79 (0.60–1.05)1240.90 (0.62–1.32)1040.66 (0.43–0.99)
    • ↵aHRs are adjusted for age (years), gender (in overall model only), interview year (1993–1995, 1996–1998), dialect (Hokkien, Cantonese), education (less than secondary, secondary or greater), cigarette smoking status (never, former, current), number of cigarettes smoked per day (never, 1–12, ≥13), years smoked (never, 1–39, ≥40), body mass index (<20, 20–<24, 24–<28, ≥28 kg/m2), caffeine (mg/day), and total energy intake (kcal/day).

    • ↵bHRs are adjusted for same covariates as listed above (a), excluding cigarette smoking status.

    • ↵cHRs are adjusted for same covariates as listed above (a), excluding body mass index.

  • Table 5.

    Coffee intake and gastric cancer risk among cases and controls nested within the Singapore Chinese Health Study

    Coffee intakeCases/controls, nMultivariable-adjusted OR (95% CI)aH. pylori–adjusted OR (95% CI)b
    Overall
     Nondaily45/1071.001.00
     Daily88/2820.54 (0.31–0.91)0.50 (0.29–0.86)
    Men
     Nondaily25/721.001.00
     Daily60/1780.84 (0.43–1.65)0.76 (0.38–1.52)
    Women
     Nondaily20/351.001.00
     Daily28/1040.22 (0.08–0.56)0.21 (0.08–0.56)
    • ↵aORs are adjusted for age (years), gender (in overall model only), interview year (1993–1995, 1996–1998), dialect (Hokkien, Cantonese), education (less than secondary, secondary or greater), cigarette smoking status (never, former, current), number of cigarettes smoked per day (never, 1–12, ≥13), years smoked (never, 1–39, ≥40), body mass index (<20, 20–<24, 24–<28, ≥28 kg/m2), caffeine (mg/day), total energy intake (kcal/day), and date of biospecimen collection.

    • ↵bORs are adjusted for the same covariates as in model (a), in addition to H. pylori serology status.

Additional Files

  • Tables
  • Supplementary Data

    Files in this Data Supplement:

    • Supplementary Tables 1 and 2 - 84K, Table S1. Distribution of selected baseline characteristics stratified by coffee intake frequency. Table S2. Distribution of Helicobacter pylori (H. pylori) seroprevalence and atrophic gastritis status stratified by coffee intake among controls.
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Cancer Epidemiology Biomarkers & Prevention: 23 (4)
April 2014
Volume 23, Issue 4
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Coffee Intake and Gastric Cancer Risk: The Singapore Chinese Health Study
Cheryl E. Ainslie-Waldman, Woon-Puay Koh, Aizhen Jin, Khay Guan Yeoh, Feng Zhu, Renwei Wang, Jian-Min Yuan and Lesley M. Butler
Cancer Epidemiol Biomarkers Prev April 1 2014 (23) (4) 638-647; DOI: 10.1158/1055-9965.EPI-13-0886

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Coffee Intake and Gastric Cancer Risk: The Singapore Chinese Health Study
Cheryl E. Ainslie-Waldman, Woon-Puay Koh, Aizhen Jin, Khay Guan Yeoh, Feng Zhu, Renwei Wang, Jian-Min Yuan and Lesley M. Butler
Cancer Epidemiol Biomarkers Prev April 1 2014 (23) (4) 638-647; DOI: 10.1158/1055-9965.EPI-13-0886
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