Table Animal fat intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response analysis Cases/ Author, Year, Study name, Study size Case Exposure RR (95%CI) WCRF Code, Outcome Comparison Adjustment factors characteristics Follow-up ascertainment assessment Ptrend Country Butler, 2008 SCHS, 961/ Cancer registry FFQ Incidence, Age, sex, alcohol Intake, BMI, COL40639 Prospective 61 321 colorectal cancer diabetes, dialect group, educational Singapore Cohort, 9.8 years 1.13 (0.94-1.35) level, energy intake, exposure q 4 vs q 1 Age: 45-74 Ptrend:0.35 assessment, family history of years, colorectal cancer, physical activity, M/W smoking habits Lin, 2004 WHS, 202/ Self-report FFQ Incidence, Age, alcohol consumption, BMI, COL01834 Prospective 37 547 verified by colorectal cancer family history of colorectal cancer, USA Cohort, 8.7 years medical record 23 vs 10 % 0.83 (0.53-1.29) history of polyps, physical activity, Age: 45- energy Ptrend:0.22 postmenopausal hormone use, W randomized treatment assignment, smoking habits, energy Intake Sanjoaquin, OVS, 76/ FFQ Incidence, 2004 Prospective 10 998 colorectal cancer COL01182 Cohort, 17 years 1.07 (0.58-1.97) Age, sex, alcohol consumption, q 3 vs q 1 UK Age: 18-89 Ptrend:0.66 smoking habits years, M/W Bostick, 1994 IWHS, 212/ Driving license Incidence, colon COL00079 Prospective 35 216 FFQ cancer Age, energy intake, height, parity, USA Cohort, 167 447 vs 1.00 (0.64-1.54) ≥51.8 ≤24.5 total vitamin e intake, total vitamin Age: 55-69 g/day Ptrend:0.97 e intake, age, vitamin a supplement years, W
Table Animal fat intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response Author, Year, WCRF Code, Country Study name, characteristics Cases/ Study size Follow-up Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Butler, 2008 COL40639 Singapore SCHS, Prospective Cohort, Age: 45-74 years, M/W 961/ 61 321 9.8 years Cancer registry FFQ Incidence, colorectal cancer q 4 vs q 1 1.13 (0.94-1.35) Ptrend:0.35 Age, sex, alcohol Intake, BMI, diabetes, dialect group, educational level, energy intake, exposure assessment, family history of colorectal cancer, physical activity, smoking habits Lin, 2004 COL01834 USA WHS, Prospective Cohort, Age: 45- W 202/ 37 547 8.7 years Self-report verified by medical record FFQ Incidence, colorectal cancer 23 vs 10 % energy 0.83 (0.53-1.29) Ptrend:0.22 Age, alcohol consumption, BMI, family history of colorectal cancer, history of polyps, physical activity, postmenopausal hormone use, randomized treatment assignment, smoking habits, energy Intake Sanjoaquin, 2004 COL01182 UK OVS, Prospective Cohort, Age: 18-89 years, M/W 76/ 10 998 17 years FFQ Incidence, colorectal cancer q 3 vs q 1 1.07 (0.58-1.97) Ptrend:0.66 Age, sex, alcohol consumption, smoking habits Bostick, 1994 COL00079 USA IWHS, Prospective Cohort, Age: 55-69 years, W 212/ 35 216 167 447 Driving license FFQ Incidence, colon cancer ≥51.8 vs ≤24.5 g/day 1.00 (0.64-1.54) Ptrend:0.97 Age, energy intake, height, parity, total vitamin e intake, total vitamin e intake, age, vitamin a supplement analysis