Coffee Consumption and Risk of Gastric Cancer: A Large Updated Meta-Analysis of Prospective Studies
Abstract
:1. Introduction
2. Materials and Methods
2.1. Literature Search and Selection
2.2. Data Extraction
2.3. Data Synthesis and Analyses
3. Results
3.1. Study Characteristics
3.2. Overall Analysis
3.3. Stratified, Sensitivity and Dose-Response Analyses
Study | Country | Duration, Years | No. of Cases | No. of Subjects | Sex | Highest vs. Lowest Consumption | Range of Consumption | RR (95% CI) | Variables Adjusted for |
---|---|---|---|---|---|---|---|---|---|
Jacobsen, 1986 [8] | Norway | 11.5 | 147 | 16555 | M/F | ≥7 vs. ≤2 cups/day | 6.5 cups/day | 1.46 (0.84–2.55) a | Age, sex, and residence. |
Nomura, 1986 [11] | USA | 15 | 106 | 7355 | M | ≥5 vs. 0 | 5 cups/day | 1.18 (0.61–2.26) b | Age |
Stensvold, 1994 [13] | Norway | 10.1 | 80 | 42973 | M/F | ≥7 vs. ≤2 cups/day | 4.5 cups/day | 0.50 (0.21–1.19) (M) a 0.50 (0.17–1.52) (F) a | Age, smoking, and residence. |
van Loon, 1998 [15] | Netherlands | 4.3 | 146 | 1525 (sub-cohort) | M | >4 vs. ≤4 cups/day | 4 cups/day | 1.43 (0.93–2.19) b | - |
Galanis, 1998 [7] | USA | 14.8 | 108 | 11907 | M/F | ≥2 vs. 0 cups/day | 3 cups/day | 1.80 (1.00–3.30) | Age, sex, smoking (M), education and place of birth. |
Tsubono, 2001 [14] | Japan | 9 | 419 | 26311 | M/F | ≥3 vs. 0 cups/day | 3.5 cups/day | 1.00 (0.60–1.60) | Age, sex, smoking, consumption of tea, alcohol, rice, meat, vegetables, fruits and bean-past soup, and type of health insurance. |
Khan, 2004 [17] | Japan | 13.8 (M) 14.8 (F) | 51 | 3155 | M/F | ≥several times/week vs. ≤several times/month | <1 cups/day | 1.00 (0.50–2.00) (M) 0.30 (0.10–1.40) (F) | Age, smoking, health status (F), health education (F), and health screening (F). |
Larsson, 2006 [9] | Sweden | 15.7 | 160 | 61433 | F | ≥4 vs. ≤1 cups/day | 4 cups/day | 1.86 (1.07–3.25) | Age, calendar year, education, and consumption of tea andm alcohol. |
Nilsson, 2010 [10] | Sweden | 6 | 70 | 64603 | M/F | ≥4 vs. <1 cups/day | 6.5 cups/day | 0.99 (0.44–2.21) | Age, sex, BMI, smoking, education, and physical activity. |
Ren, 2010 [12] | USA | 5.4 | 455 | 481563 | M/F | >3 vs. <1 cups/day | 3 cups/day | 1.57 (1.03–2.39) c 1.06 (0.68–1.64) d | Age, sex, BMI, smoking, education, ethnicity, physical activity, and consumption of alcohol, fruits, vegetables, red meat, white meat and calories. |
Bidel, 2013 [6] | Finland | 18 | 299 | 60041 | M/F | ≥10 vs. 0 cups/day | 11 cups/day | 0.75 (0.40–1.41) | Age, sex, BMI, study year, education, smoking, physical activity, history of diabetes, and consumption of tea and alcohol. |
Ainslie-Wal dman, 2014 [16] | Singapore | 14.7 | 647 | 63257 | M/F | ≥4 cups/d vs. never/monthly | 4.5 cups/day | 0.93 (0.49–1.07) | Age, BMI, gender, interview year, dialect, education, smoking, intakes of caffeine and total energy intake. |
3.4. Stratified, Sensitivity and Dose-Response Analyses
Subgroups | N | RR (95% CI) | Heterogeneity Test | |
---|---|---|---|---|
P | I2 (%) | |||
Areas | ||||
USA | 3 | 1.36 (1.06–1.74) | 0.44 | 0.0 |
Europe | 6 | 1.08 (0.76–1.53) | 0.06 | 50.9 |
Japan | 3 | 0.92 (0.70–1.20) | 0.40 | 0.0 |
Duration of follow-up | ||||
≥10 years | 8 | 1.02 (0.76–1.38) | 0.03 | 50.4 |
<10 years | 4 | 1.24 (1.00–1.54) | 0.53 | 0.0 |
No. of cases | ||||
≥200 | 4 | 1.07 (0.85–1.34) | 0.29 | 19.7 |
<200 | 8 | 1.14 (0.85–1.53) | 0.06 | 44.8 |
Sex | ||||
Men | 8 | 0.98 (0.70–1.36) | 0.08 | 44.9 |
Women | 6 | 1.04 (0.58–1.89) | 0.06 | 53.1 |
Range of consumption | ||||
≥5 cups/day | 4 | 1.09 (0.79–1.51) | 0.47 | 0.0 |
<5 cups/day | 8 | 1.12 (0.88–1.42) | 0.03 | 49.0 |
Adjustment | ||||
Smoking, yes | 8 | 0.99 (0.78–1.25) | 0.10 | 38.2 |
no | 4 | 1.48 (1.13–1.93) | 0.77 | 0.0 |
Alcohol, yes | 4 | 1.21 (0.90–1.62) | 0.14 | 42.1 |
no | 8 | 1.05 (0.81–1.37) | 0.10 | 39.3 |
BMI, yes | 4 | 1.07 (0.84–1.37) | 0.29 | 19.0 |
no | 8 | 1.14 (0.86–1.50) | 0.05 | 46.1 |
Education, yes | 6 | 1.22 (0.95–1.57) | 0.12 | 40.1 |
no | 6 | 0.99 (0.73–1.35) | 0.12 | 39.3 |
Physical activity, yes | 3 | 1.12 (0.82–1.54) | 0.25 | 27.4 |
no | 9 | 1.11 (0.87–1.43) | 0.05 | 44.8 |
Dietary factors, yes | 5 | 1.14 (0.89–1.47) | 0.14 | 39.9 |
no | 7 | 1.06 (0.78–1.45) | 0.08 | 42.5 |
3.5. Publication Bias
4. Discussion
5. Conclusions
Supplementary Files
Supplementary File 1Author Contributions
Conflicts of Interest
References
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Xie, F.; Wang, D.; Huang, Z.; Guo, Y. Coffee Consumption and Risk of Gastric Cancer: A Large Updated Meta-Analysis of Prospective Studies. Nutrients 2014, 6, 3734-3746. https://doi.org/10.3390/nu6093734
Xie F, Wang D, Huang Z, Guo Y. Coffee Consumption and Risk of Gastric Cancer: A Large Updated Meta-Analysis of Prospective Studies. Nutrients. 2014; 6(9):3734-3746. https://doi.org/10.3390/nu6093734
Chicago/Turabian StyleXie, Feiyue, Dan Wang, Zhifang Huang, and Yajun Guo. 2014. "Coffee Consumption and Risk of Gastric Cancer: A Large Updated Meta-Analysis of Prospective Studies" Nutrients 6, no. 9: 3734-3746. https://doi.org/10.3390/nu6093734
APA StyleXie, F., Wang, D., Huang, Z., & Guo, Y. (2014). Coffee Consumption and Risk of Gastric Cancer: A Large Updated Meta-Analysis of Prospective Studies. Nutrients, 6(9), 3734-3746. https://doi.org/10.3390/nu6093734