Table Vegetable intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response analysis Cases/ Author, Year, Study name, Case Missing data Study size Exposure WCRF Code, Outcome Comparison RR (95%CI) Adjustment factors derived for Follow-up assessment Country (years) Cancer Age, sex, BMI, Incidence, 331 vs 88.6 registry, centre location, colorectal 0.98 (0.89-1.08) Bamia, 2013 g/day EPIC, record cereal, dairy cancer COL40964 Prospective linkage, health products 4 355/ Distribution of Incidence, Cohort, Insurance rec, consumption, 331 vs 88.6 480 308 FFQ cases and colorectal 1.02 (0.90-1.16) Age: 25-70 mortality educational level, g/day 11.6 years cancer, years, registry ethanol, fish, fruits, M/W pathology and legumes, lipids, Incidence, 331 vs 88.6 active follow meat, physical colorectal 0.91 (0.80-1.06) g/day up activity, smoking cancer, men Age, alcohol, BMI, Incidence, diabetes, educational vs ≥466.64 Cancer colorectal 1.00 (0.72-1.41) SMHS, level, energy Intake, g/day registry, cancer Vogtmann, Prospective family history of 398/ shanghai Midpoints, 2013 Cohort, colorectal cancer, 61 274 statistics FFQ distribution of Incidence, vs COL40986 Age: 40-74 Income, met-hours ≥466.64 0.95 (0.62-1.47) 6.3 office, person-years colon cancer g/day China years, per week, medical M occupation, red history Incidence, vs ≥466.64 meat, smoking, total 1.10 (0.64-1.89) rectal cancer g/day meat Age, alcohol Intake, aspirin use, BMI, HPFS, Fung, 2010 Self report Incidence, colonoscopy, energy, Prospective per 1 Conversion of COL40828 verified by FFQ colorectal 1.00 (0.96-1.04) family history, Cohort, 132 746 serving/day serv/d to g/d USA medical record cancer, men history of polyps, M/W physical activity, smoking
Table Vegetable intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response Author, Year, WCRF Code, Country Study name, Cases/ Study size Follow-up (years) Case Exposure assessment Outcome Comparison RR (95%CI) Adjustment factors Missing data derived for Bamia, 2013 COL40964 EPIC, Prospective Cohort, Age: 25-70 years, M/W 4 355/ 480 308 11.6 years Cancer registry, record linkage, health Insurance rec, mortality registry pathology and active follow up FFQ Incidence, colorectal cancer 331 vs 88.6 g/day 0.98 (0.89-1.08) Age, sex, BMI, centre location, cereal, dairy products consumption, educational level, ethanol, fish, fruits, legumes, lipids, meat, physical activity, smoking Distribution of cases and Incidence, colorectal cancer, 331 vs 88.6 g/day 1.02 (0.90-1.16) Incidence, colorectal cancer, men 331 vs 88.6 g/day 0.91 (0.80-1.06) Vogtmann, 2013 COL40986 China SMHS, Prospective Cohort, Age: 40-74 years, M 398/ 61 274 6.3 Cancer registry, shanghai statistics office, medical history FFQ Incidence, colorectal cancer ≥466.64 vs g/day 1.00 (0.72-1.41) Age, alcohol, BMI, diabetes, educational level, energy Intake, family history of colorectal cancer, Income, met-hours per week, occupation, red meat, smoking, total meat Midpoints, distribution of person-years Incidence, colon cancer ≥466.64 vs g/day 0.95 (0.62-1.47) Incidence, rectal cancer ≥466.64 vs g/day 1.10 (0.64-1.89) Fung, 2010 COL40828 USA HPFS, Prospective Cohort, M/W 132 746 Self report verified by medical record FFQ Incidence, colorectal cancer, men per 1 serving/day 1.00 (0.96-1.04) Age, alcohol Intake, aspirin use, BMI, colonoscopy, energy, family history, history of polyps, physical activity, smoking Conversion of serv/d to g/d analysis
CUP_colorectal_SLR_2016_RO.docx