Fruit and vegetable intake and colorectal cancer risk. Main characteristics of studies included in CUP SLR Author, Cases/ Year, Study name, Case Missing data Study size Exposure WCRF Outcome Comparison RR (95%CI) Adjustment factors derived for Follow-up assessment Code, analysis (years) Country Offspring Makarem, Death Cohort, 63/ Incidence, Conversion from 2015 certificate and 0.96 Prospective 2 983 colorectal per 1 points Age, sex, smoking status WCRF score to COL41060 medical Cohort, 11.5 years FFQ cancer g/d USA records Age: 66 M/W Cancer Incidence, vs <600 0.85 ≥600 Screening Age, sex, alcohol, BMI, colorectal Cancer g/day Wie, 2014 Examination 53/ educational level, energy cancer registry and 3-day food COL41065 Cohort, Korea 8 024 Intake, Income, marital None medical record Incidence, Korea (CSECK), 7 years status, physical activity, 1.00 records colorectal per 100 g/day Prospective smoking 1.14) cancer Cohort, M/W Incidence, Cancer Age, alcohol, BMI, diabetes, vs 0.71 ≥675.15 SMHS, colorectal registry, educational level, energy g/day Vogtmann, Prospective cancer 398/ shanghai Intake, family history of Midpoints, 2013 Cohort, 61 274 statistics FFQ colorectal cancer, Income, distribution of Incidence, vs 0- 0.69 ≥675.15 COL40986 Age: 40-74 6.3 years office, met-hours per week, person-years colon cancer g/day 1.09) China years, medical occupation, red meat, M Incidence, vs 0.75 ≥675.15 history smoking, total meat rectal cancer g/day van EPIC, 2 819/ Cancer Incidence, Duijnhoven Prospective 452 755 registry, FFQ colorectal vs 0.86 ≥603.6 FJ, Cohort, 8.8 health cancer 221 g/day 1.00)
Fruit and vegetable intake and colorectal cancer risk. Main characteristics of studies included in CUP SLR 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 analysis Makarem, 2015 COL41060 USA Cohort, Prospective Cohort, Age: 66 M/W 63/ 2 983 11.5 years Death certificate and medical records FFQ Incidence, colorectal cancer per 1 points 0.96 Age, sex, smoking status Conversion from WCRF score to g/d Wie, 2014 COL41065 Korea Cancer Screening Examination Cohort, Korea (CSECK), Prospective Cohort, M/W 53/ 8 024 7 years Cancer registry and medical records 3-day food record Incidence, colorectal cancer ≥600 vs <600 g/day 0.85 Age, sex, alcohol, BMI, educational level, energy Intake, Income, marital status, physical activity, smoking None Incidence, colorectal cancer per 100 g/day 1.00 Vogtmann, 2013 COL40986 China SMHS, Prospective Cohort, Age: 40-74 years, M 398/ 61 274 6.3 years Cancer registry, shanghai statistics office, medical history FFQ Incidence, colorectal cancer ≥675.15 vs g/day 0.71 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 ≥675.15 vs g/day 0.69 Incidence, rectal cancer ≥675.15 vs g/day 0.75 van Duijnhoven FJ, EPIC, Prospective Cohort, 2 819/ 452 755 8.8 Cancer registry, health FFQ Incidence, colorectal cancer ≥603.6 vs g/day 0.86 221 1.14) 1.09) Offspring 1.00) 0-
CUP_colorectal_SLR_2016_RO.docx