Table Fruit intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Cases/ Author, Year, Study name, Missing data size Case Exposure WCRF Code, Outcome Comparison RR (95%CI) Adjustment factors derived for Follow-up ascertainment assessment Country analysis (years) Incidence, Cancer 384.8 vs 83.1 1.03 colorectal Trial, 2013 registry, record g/day 1.08) EPIC, Age, sex, BMI, centre location, cancer COL40964 linkage, health Prospective cereal, products 4 355/ Insurance rec, Distribution of Incidence, Cohort, consumption, educational level, 384.8 vs 83.1 1.01 480 308 mortality FFQ cases and colorectal Age: 25-70 ethanol, fish, fruits, legumes, g/day 11.6 years registry , cancer, women years, lipids, meat, physical activity, pathology and M/W smoking Incidence, active follow 384.8 vs 83.1 1.02 colorectal g/day 1.17) cancer, men Incidence, vs 0.67 ≥239.24 colorectal g/day cancer SMHS, Cancer Age, alcohol, BMI, diabetes, Incidence, vs 0.76 ≥239.24 Vogtmann, Prospective registry, educational energy Intake, colon cancer g/day 1.20) 398/ Midpoints, 2013 Cohort, shanghai vital family history of colorectal 61 274 FFQ distribution of Incidence, COL40986 Age: 40-74 statistics cancer, Income, met-hours per per 20 g/day 0.98 6.3 years person-years colon cancer China years, office, medical week, occupation, red meat, M history smoking, total meat Incidence, vs 0.56 ≥239.24 rectal cancer g/day Incidence, per 20 g/day 0.97 rectal cancer Age, alcohol Intake, aspirin use, HPFS, Fung, 2010 Self report Incidence, BMI, colonoscopy, energy, Prospective per 1 1.01 Conversion of COL40828 verified by FFQ colorectal family history, history of Cohort, 132 746 serving/day 1.05) serv/d to g/d USA medical record cancer, men polyps, physical activity, M/W smoking
Table Fruit intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Author, Year, WCRF Code, Country Study name, Cases/ size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Adjustment factors Missing data derived for analysis 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 FFQ Incidence, colorectal cancer 384.8 vs 83.1 g/day 1.03 Age, sex, BMI, centre location, cereal, products consumption, educational level, ethanol, fish, fruits, legumes, lipids, meat, physical activity, smoking Distribution of cases and Incidence, colorectal cancer, women 384.8 vs 83.1 g/day 1.01 Incidence, colorectal cancer, men 384.8 vs 83.1 g/day 1.02 Vogtmann, 2013 COL40986 China SMHS, Prospective Cohort, Age: 40-74 years, M 398/ 61 274 6.3 years Cancer registry, shanghai vital statistics office, medical history FFQ Incidence, colorectal cancer ≥239.24 vs g/day 0.67 Age, alcohol, BMI, diabetes, educational 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 ≥239.24 vs g/day 0.76 Incidence, colon cancer per 20 g/day 0.98 Incidence, rectal cancer ≥239.24 vs g/day 0.56 Incidence, rectal cancer per 20 g/day 0.97 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 1.01 Age, alcohol Intake, aspirin use, BMI, colonoscopy, energy, family history, history of polyps, physical activity, smoking Conversion of serv/d to g/d 1.08) 1.17) 1.05) Trial, 1.20)