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women 134/ Incidence, distal per 1 points 0.94 (0.82-1.10) cancer, women 133/ Incidence, proximal per 1 points 1.00 (0.87-1.16) cancer, men Odegaard, 2013 SCHS, 969/ Cancer registry Higher Incidence, COL40948 Prospective 50 466 and death score: trial cancer Age, sex, Singapore Cohort, 579 628 registry higher alcohol in... | women 134/ Incidence, distal cancer, women per 1 points 0.94 (0.82-1.10) 133/ Incidence, proximal cancer, men per 1 points 1.00 (0.87-1.16) Odegaard, 2013 COL40948 Singapore SCHS, Prospective Cohort, Age: 45-74 M/W 969/ 50 466 579 628 Cancer registry and death registry Higher score: higher intake of vegetables, fruit, ... | 0.26245 | [
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Eating Women highest quintile vs lowest 0.80 (0.64-1.00) Index quintile Men 0.75 (0.65-0.87) highest quintile vs lowest food quintile Women 1.01 (0.80-1.28) score bread pattern vs average 0.94 (0.45-1.95) FFQ FFQ healthy pattern vs 0.89 (0.47-1.71) labelled 93/ Incidence, average 5 clusters: 34 471 Cancer registry colo... | Eating Index Women highest quintile vs lowest quintile 0.80 (0.64-1.00) food score Men highest quintile vs lowest quintile 0.75 (0.65-0.87) Women 1.01 (0.80-1.28) Engeset, 2009 COL40961 Norway Norwegian European Prospective Investigation into Cancer and Nutrition (NEPIC), Prospective Cohort, Age: 48 years, W 93/ 34 471... | 0.345825 | [
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physical activity, smoking Incidence, 1.3 vs 0.2 colorectal 0.79 (0.70-0.89) g/1000kcal/day cancer Incidence, 1.3 vs 0.2 0.86 (0.75-0.99) colon cancer g/1000kcal/day Incidence, 1.3 vs 0.2 colorectal 0.79 (0.79-0.91) g/1000kcal/day Age, sex, cancer, men NIH-AARP, calcium intake, Incidence, Schatzkin, Prospective folate ... | physical activity, smoking Schatzkin, 2007 COL40662 USA NIH-AARP, Prospective Cohort, Age: 50-71 years, M/W 2 974/ 489 611 5 years Cancer registry and national death Index FFQ Incidence, colorectal cancer 1.3 vs 0.2 g/1000kcal/day 0.79 (0.70-0.89) Age, sex, calcium intake, folate intake, physical activity, red meat int... | 0.10988 | [
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uppermiddle social class Table Fruit and vegetable intake and colorectal cancer risk. Main characteristics of studies excluded of the CUP SLR Cases/ Author, Year, Study name, Study size Case Exposure RR (95%CI) Reasons for WCRF Code, Outcome Comparison Adjustment factors characteristics Follow-up ascertainment assessme... | uppermiddle social class Table Fruit and vegetable intake and colorectal cancer risk. Main characteristics of studies excluded of the CUP SLR Author, Year, WCRF Code, Country Study name, characteristics Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjus... | 0.484705 | [
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Incidence, colorectal vs 0-268 ≥658 cancer, women, 0.81 g/day without first 2 yrs of follow-up Incidence, vs 0-184 ≥544 colorectal 0.68 g/day cancer, men Incidence, colorectal vs 0-184 ≥544 cancer, men, 0.53 g/day without first 2 yrs of follow-up Incidence, colon IWHS, cancer, no vs Prospective ≥48.1 ≤33 0.80 (0.60-1.2... | Incidence, colorectal cancer, women, without first 2 yrs of follow-up ≥658 vs 0-268 g/day 0.81 Incidence, colorectal cancer, men ≥544 vs 0-184 g/day 0.68 Incidence, colorectal cancer, men, without first 2 yrs of follow-up ≥544 vs 0-184 g/day 0.53 Sellers, 1998 COL01974 USA IWHS, Prospective Cohort, Age: 55-69 years, W,... | 0.252865 | [
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Age, alcohol Intake, aspirin use, BMI, NHS, Incidence, Fung, 2010 Self report colonoscopy, energy, Prospective colorectal per 1 Conversion of COL40828 verified by FFQ 1.01 (0.96-1.05) family history, Cohort, 132 746 cancer, serving/day serv/d to g/d USA medical record history of polyps, M/W women physical activity, smo... | Fung, 2010 COL40828 USA NHS, Prospective Cohort, M/W 132 746 Self report verified by medical record FFQ Incidence, colorectal cancer, women per 1 serving/day 1.01 (0.96-1.05) Age, alcohol Intake, aspirin use, BMI, colonoscopy, energy, family history, history of polyps, physical activity, smoking Conversion of serv/d to... | 0.195032 | [
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Incidence, 3.6 vs 0.8 proximal servings1000 1.06 (0.78-1.45) colon cancer, kcal/day women IWHS, Prospective McCarl, 2006 954/ Incidence, Midpoints, Cohort, vs ≥34.5 ≤14.5 COL40633 35 197 Seer registry FFQ colorectal 0.89 (0.73-1.08) Age conversion of Age: 55-69 servings/week USA 15 years cancer serv/wk to g/d W Age, al... | Incidence, proximal colon cancer, women 3.6 vs 0.8 servings1000 kcal/day 1.06 (0.78-1.45) McCarl, 2006 COL40633 USA IWHS, Prospective Cohort, Age: 55-69 W 954/ 35 197 15 years Seer registry FFQ Incidence, colorectal cancer ≥34.5 vs ≤14.5 servings/week 0.89 (0.73-1.08) Age Midpoints, conversion of serv/wk to g/d Lin, 20... | 0.305639 | [
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Incidence, colon cancer, per 25 g/day 0.98 men Incidence, colon cancer, per 25 g/day 0.97 women Incidence, rectal cancer, per 25 g/day 0.99 men Incidence, rectal cancer, per 25 g/day 1.05 women Age, alcohol ATBC, consumption, BMI, Prospective calcium Intake, Pietinen, 1999 Cohort, 185/ Dietary Incidence, 191 vs 44 educ... | Incidence, colon cancer, men per 25 g/day 0.98 Incidence, colon cancer, women per 25 g/day 0.97 Incidence, rectal cancer, men per 25 g/day 0.99 Incidence, rectal cancer, women per 25 g/day 1.05 Pietinen, 1999 COL00176 Finland ATBC, Prospective Cohort, Age: 50-69 M, Smokers 185/ 27 111 8 years Population Dietary history... | 0.252712 | [
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Incidence, proximal vs 0-15 ≥30.5 0.90 (0.44-1.82) colon cancer, serving/week proximal sites Leisure World Incidence, Cohort, vs 0-3.2 ≥4.8 colon cancer, 0.72 (0.45-1.16) Prospective serving/day 105/ Conversion from women Shibata, 1992 Cohort, 11 580 Community serv/d to g/d, COL00740 M/W, FFQ Age, smoking habits 70 159... | Incidence, proximal colon cancer, proximal sites ≥30.5 vs 0-15 serving/week 0.90 (0.44-1.82) Shibata, 1992 COL00740 USA Leisure World Cohort, Prospective Cohort, M/W, retirement community, uppermiddle social 105/ 11 580 70 159 person-years Community registry FFQ Incidence, colon cancer, women ≥4.8 vs 0-3.2 serving/day ... | 0 | [
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Incidence, Q 3 vs Q 3 1.00 rectal cancer Incidence, vs ≥1.8 ≥1.8 rectal cancer, 1.00 times/week men Incidence, vs ≥2.2 ≥2.2 rectal cancer, 1.00 times/week women Cancer Age, BMI, educational EPIC-Italy, Agnoli, 2013 435/ registry and Incidence, 160.7-950.1 gender, non-alcoholic Duplicate, overlap Prospective 0.89 COL409... | Incidence, rectal cancer Q 3 vs Q 3 1.00 Incidence, rectal cancer, men ≥1.8 vs ≥1.8 times/week 1.00 Incidence, rectal cancer, women ≥2.2 vs ≥2.2 times/week 1.00 Agnoli, 2013 COL40938 Italy EPIC-Italy, Prospective Cohort, M/W 435/ 45 275 11.28 years Cancer registry and hospital records FFQ Incidence, colorectal cancer 1... | 0.177168 | [
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activity, processed meat, smoking, vitamin d Meng, 2013 HPFS, 1 029/ Questionnaire Incidence, 1.00 (0.71-1.42) COL40931 Prospective 45 592 colorectal cancer Age, aspirin use, Ptrend:0.89 USA Cohort, 22 years BMI, Age: 40-75 endoscopy, 811/ Incidence, colon 1.09 (0.76-1.58) years, family history of cancer Ptrend:0.90 M,... | activity, processed meat, smoking, vitamin d Meng, 2013 COL40931 USA HPFS, Prospective Cohort, Age: 40-75 years, M, Health professionals 1 029/ 45 592 22 years Questionnaire Incidence, colorectal cancer ≥1/day vs <1/month 1.00 (0.71-1.42) Ptrend:0.89 Age, aspirin use, BMI, endoscopy, family history of colorectal cancer... | 0.335133 | [
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Table Garlic supplements 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) Adjustment WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend factors Country (yea... | Table Garlic supplements 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 (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Meng,... | 0.417506 | [
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Age at randomization, BMI, date of ATBC, blood collection, Nested Case height, physical Anic, 2014 Control, 416/ Incidence, activity, serum COL41008 Cancer registry Q 4 vs Q 1 1.56 (1.02-2.36) Age: 50-69 416 controls colorectal cancer alpha Finland years, tocopherol, M serum carotene, serum retinol, years of smoking In... | carotene, Anic, 2014 COL41008 Finland ATBC, Nested Case Control, Age: 50-69 years, M 416/ 416 controls Cancer registry Incidence, colorectal cancer Q 4 vs Q 1 1.56 (1.02-2.36) Age at randomization, BMI, date of blood collection, height, physical activity, serum alpha tocopherol, serum serum retinol, years of smoking Sk... | 0.306992 | [
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Incidence, vs 0-1 ≥5 HPFS, 1.35 colon cancer serving/day Age, alcohol consumption, Included in the Prospective aspirin use, BMI, family history dose-response Cohort, 368/ Incidence, per 1 1.08 Michels, 2000 of colorectal cancer, height, analysis. No colon cancer serving/day Age: 40-75 47 325 Population COL00365 of smok... | Michels, 2000 COL00365 USA HPFS, Prospective Cohort, Age: 40-75 years, M, Health professionals 368/ 47 325 416 616 person-years Population registries FFQ Incidence, colon cancer ≥5 vs 0-1 serving/day 1.35 Age, alcohol consumption, aspirin use, BMI, family history of colorectal cancer, height, of smoking, physical activ... | 0.224074 | [
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Incidence, 1.49 distal colon Q 5 vs Q 1 cancer, men Incidence, 1.20 proximal Q 5 vs Q 1 2.05) cancer, men Incidence, 0.81 proximal colon Q 5 vs Q 1 cancer, women Incidence, 0.59 distal colon Q 5 vs Q 1 cancer, women Incidence, 343 vs 65 0.67 rectal cancer, g/day women Incidence, colon cancer, per 25 g/day 1.00 men Inci... | Incidence, distal colon cancer, men Q 5 vs Q 1 1.49 Incidence, proximal cancer, men Q 5 vs Q 1 1.20 Incidence, proximal colon cancer, women Q 5 vs Q 1 0.81 Incidence, distal colon cancer, women Q 5 vs Q 1 0.59 Incidence, rectal cancer, women 343 vs 65 g/day 0.67 Incidence, colon cancer, men per 25 g/day 1.00 Incidence,... | 0.394164 | [
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years, 120/ Incidence, distal vs 0-0.4 ≥1 W, colon cancer, 0.75 (0.46-1.22) serving/week Postmenopausal distal sites 86/ Incidence, proximal colon vs 0-0.4 ≥1 1.27 (0.74-2.18) cancer, proximal serving/week sites | years, W, Postmenopausal 120/ Incidence, distal colon cancer, distal sites ≥1 vs 0-0.4 serving/week 0.75 (0.46-1.22) 86/ Incidence, proximal colon cancer, proximal sites ≥1 vs 0-0.4 serving/week 1.27 (0.74-2.18) | 0.206872 | [
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diabetes, history of polyp diagnosis, HRT use, drug use, pack yrs of smoking, vigorous physical activity, vitamin d Distribution of 6 444/ Incidence, vs ≥4 ≤1 Age, sex, by 2 248 129 1.23 (1.13-1.35) Korean Cohort colorectal cancer alcohol exposure 7 years Study, consumption, category. Mid- Kim, 2011 Prospective vs ≥4 ≤... | diabetes, history of polyp diagnosis, HRT use, drug use, pack yrs of smoking, vigorous physical activity, vitamin d Kim, 2011 COL40942 Korean Cohort Study, Prospective Cohort, Age: 30-80 years, M/W 6 444/ 2 248 129 7 years Cancer registry Questionnaire Incidence, colorectal cancer ≥4 vs ≤1 1.23 (1.13-1.35) Age, sex, al... | 0.29332 | [
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66 Processed meat and colorectal cancer risk. Results of meta-analyses and pooled analyses of prospective studies published after the 2005 SLR. Total Studies Number of Heterogeneity Author, Year number of country, Outcome Comparison RR (95%CI) P trend cohort studies (I2, p value) cases area Pooled analysis 7 nested con... | 66 Processed meat and colorectal cancer risk. Results of meta-analyses and pooled analyses of prospective studies published after the 2005 SLR. Author, Year Number of cohort studies Total number of cases Studies country, area Outcome Comparison RR (95%CI) P trend Heterogeneity (I2, p value) Pooled analysis Kantor, 2014... | 0.368167 | [
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Table 67 Processed meat and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response analysis Cases/ Author, Year, Missing data Study name, size Case Exposure RR (95%CI) Adjustment WCRF Code, Outcome Comparison derived for characteristics Follow-up ascertainment assessment Ptrend fa... | Table 67 Processed meat and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response Author, Year, WCRF Code, Country Study name, characteristics Cases/ size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Missing data... | 0.303342 | [
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Distribution of 452/ Incidence, vs ≥6.5 ≤3 person-years by 37 112 colorectal 1.40 (1.00-1.90) times/week MCCS, exposure 9 years cancer, Age, sex, cereal Prospective category. English, 2004 product intake, Incidence, colon vs ≥6.5 ≤3 Cohort, of 283/ 1.10 (0.70-1.60) COL00019 FFQ country of birth, cancer, times/week Age:... | English, 2004 COL00019 Australia MCCS, Prospective Cohort, Age: 27-75 years, M/W 452/ 37 112 9 years rolls FFQ Incidence, colorectal cancer, ≥6.5 vs ≤3 times/week 1.40 (1.00-1.90) Age, sex, cereal product intake, country of birth, energy intake, fat intake Distribution of person-years by exposure category. of exposure ... | 0.084639 | [
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years, cancer, men times/week Ptrend:0.07 level, family M/W history of Mortality, rectal 3-7 vs 0-0.5 0.80 (0.44-1.45) specific cancer, 89/ cancer, men times/week Ptrend:0.24 physical activity, region of enrolment, smoking status Mortality, rectal 3-7 vs 0-0.5 0.71 (0.22-2.32) 33/ cancer, women times/week Ptrend:0.97 A... | years, M/W level, family history of specific cancer, physical activity, region of enrolment, smoking status cancer, men times/week Ptrend:0.07 89/ Mortality, rectal cancer, men 3-7 vs 0-0.5 times/week 0.80 (0.44-1.45) Ptrend:0.24 33/ Mortality, rectal cancer, women 3-7 vs 0-0.5 times/week 0.71 (0.22-2.32) Ptrend:0.97 J... | 0.236852 | [
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Incidence, intake, family vs 0-26.6 ≥81.4 187/ colorectal 0.96 (0.61-1.53) history of g/day cancer, women cancer, fruit intake, history of Incidence, rectal vs 0-26.2 ≥96.4 diabetes, 163/ 0.99 (0.61-1.61) cancer, men g/day hypertension, marital status, Incidence, colon vs 0-26.6 ≥81.4 meat intake, 118/ 0.95 (0.53-1.71)... | intake, family history of cancer, fruit intake, history of diabetes, hypertension, marital status, meat intake, myocardial Infarction, physical activity, prevalent stroke, smoking status, vegetable intake 187/ Incidence, colorectal cancer, women ≥81.4 vs 0-26.6 g/day 0.96 (0.61-1.53) 163/ Incidence, rectal cancer, men ... | 0.268558 | [
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Project on Cardiovascular Disease Risk Factors, compared to Nested Case lowest analysis Control, Age: 52 M/W Incidence, colon 434/ vs g/day 1.03 (0.76-1.40) ≥20 ≤0 cancer, 2 948 7.3 years per 15.1 g/day 0.93 (0.84-1.04) Apc- cases vs g/day 1.13 (0.78-1.64) ≥20 ≤0 274/ per 15.1 g/day 0.95 (0.83-1.08) Incidence, rectal v... | Project on Cardiovascular Disease Risk Factors, Nested Case Control, Age: 52 M/W compared to lowest analysis Luchtenborg, 2005 COL01830 NLCS, Case Cohort, Age: 55-69 M/W 434/ 2 948 7.3 years Population registries FFQ Incidence, colon cancer, ≥20 vs ≤0 g/day 1.03 (0.76-1.40) per 15.1 g/day 0.93 (0.84-1.04) 274/ Apc- cas... | 0.367158 | [
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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 Butle... | 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 C... | 0.424643 | [
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Table 106 Dairy intake and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis 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 analysis (years) Inc... | Table 106 Dairy 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, Study size Follow-up (years) Case Exposure assessment Outcome Comparison RR (95%CI) Adjustment factors Missing data derived for analysis Mur... | 0.28868 | [
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Pietinen, 1999 185/ Cancer Dietary Incidence, 1089 vs 318 Age, alcohol Distribution of ATBC, 0.60 (0.40-0.90) COL00176 27 111 registry history colorectal g/day consumption, BMI, | Pietinen, 1999 COL00176 ATBC, 185/ 27 111 Cancer registry Dietary history Incidence, colorectal 1089 vs 318 g/day 0.60 (0.40-0.90) Age, alcohol consumption, BMI, Distribution of | 0 | [
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Age: 45-74 registries and 35.45-46.25 vs activity, smoking status, years, 228/ death cert. Women 21.6-27.1 0.82 (0.56-1.21) total energy intake, area M/W mets/day 36.25-46.25 vs Incidence, rectal 162/ 21.6-27.1 0.88 (0.57-1.36) cancer, men mets/day 35.45-46.25 vs 86/ Women 21.6-27.1 1.79 (0.99-3.23) mets/day 290/ Incid... | years Age: 45-74 years, M/W registries and death cert. activity, smoking status, total energy intake, area 228/ Women 35.45-46.25 vs 21.6-27.1 mets/day 0.82 (0.56-1.21) 162/ Incidence, rectal cancer, men 36.25-46.25 vs 21.6-27.1 mets/day 0.88 (0.57-1.36) 86/ Women 35.45-46.25 vs 21.6-27.1 mets/day 1.79 (0.99-3.23) Lee,... | 0.151617 | [
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activity, smoking habits Akhter, 2007 MCS, 131/ Cancer registry Incidence, rectal COL40632 Prospective 21 199 cancer Included only in Cohort, 11 years questionnaire current vs never 1.54 (0.91-2.61) Age highest vs Age: 40-64 lowest years, M Age, BMI, Included only in cereal intake, highest vs PHS, history of Follow up ... | activity, smoking habits Akhter, 2007 COL40632 MCS, Prospective Cohort, Age: 40-64 years, M 131/ 21 199 11 years Cancer registry questionnaire Incidence, rectal cancer current vs never 1.54 (0.91-2.61) Age Included only in highest vs lowest Driver, 2007 COL40711 USA PHS, Prospective Cohort, Age: 40-84 years, M, Physici... | 0.197177 | [
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men intake, height, physical activity, processed meat, red meat intake, Incidence, right vs 0.93 (0.59-1.47) ≥29.5 ≤15.9 smoking status, 452/ colon cancer, g/day Ptrend:0.47 total energy, men weight Age, alcohol consumption, aspirin use, BMI, family history of specific cancer, history of previous polyp WHS, Follow up a... | intake, height, physical activity, processed meat, red meat intake, smoking status, total energy, weight men 452/ Incidence, right colon cancer, men ≥29.5 vs ≤15.9 g/day 0.93 (0.59-1.47) Ptrend:0.47 Lin, 2005 COL01831 USA WHS, Prospective Cohort, Age: 45- W, professionals 223/ 36 976 10 years Follow up questionnaires (... | 0.441826 | [
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USA Cohort, medical record aspirin use, (Park, 2005) Age: 30-75 BMI, calcium M/W intake, family history of colorectal cancer, folate intake, glycaemic load intake, height, HRT use, menopausal status, methionine intake, Men per 5 g 0.96 (0.87-1.06) multivitamin supplement intake, of smoking, physical activity, previous ... | USA Cohort, Age: 30-75 M/W medical record aspirin use, BMI, calcium intake, family history of colorectal cancer, folate intake, glycaemic load intake, height, HRT use, menopausal status, methionine intake, multivitamin supplement intake, of smoking, physical activity, previous endoscopic screening, processed meat, red ... | 0.643514 | [
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activity, smoking habits, total energy SCHS, Nested Case Koh, 2004 Incidence, Superseded by Control, 310/ COL00053 Cancer registry Questionnaire colorectal (mean exposure) Butler, 2008 Age: 45-74 1177 controls COL40639 China cancer, years, M/W Alcohol BCDDP, 1973, consumption, Prospective BMI, calcium, Cohort, 487/ Mai... | activity, smoking habits, total energy Koh, 2004 COL00053 China SCHS, Nested Case Control, Age: 45-74 years, M/W 310/ 1177 controls Cancer registry Questionnaire Incidence, colorectal cancer, (mean exposure) Superseded by Butler, 2008 COL40639 Mai, 2003 COL00335 USA BCDDP, 1973, Prospective Cohort, Age: 62 years, W, co... | 0.135504 | [
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IWHS, Prospective McCarl, 2006 954/ Midpoints, Cohort, Incidence, vs ≥275.6 ≤153 COL40633 35 197 Seer registry FFQ 0.79 (0.65-0.97) Age distribution of Age: 55-69 colorectal cancer g/day USA 15 years person-years years, W Age, alcohol, 1 096/ Incidence, 202 vs 110 0.87 (0.68-1.11) aspirin use, beef, 130 719 colorectal ... | McCarl, 2006 COL40633 USA IWHS, Prospective Cohort, Age: 55-69 years, W 954/ 35 197 15 years Seer registry FFQ Incidence, colorectal cancer ≥275.6 vs ≤153 g/day 0.79 (0.65-0.97) Age Midpoints, distribution of person-years Michaud, 2005 COL01824 USA NHS-HPFS, Prospective Cohort, M/W 1 096/ 130 719 20 years Self-report, ... | 0.113466 | [
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colorectal cancer Ptrend:0.01 level, folate intake, Incidence, magnesium, red 0.97 (0.58-1.63) 286/ proximal colon vs ≥83.4 ≤75.7 meat intake, Ptrend:0.41 cancer total energy intake 1.32 (0.80-2.17) 283/ vs ≥83.4 ≤75.7 Ptrend:0.62 Incidence, rectal cancer 0.81 (0.46-1.40) 210/ vs ≥83.4 ≤75.7 Ptrend:0.25 1.70 (0.93-3.11... | level, folate intake, magnesium, red meat intake, total energy intake colorectal cancer Ptrend:0.01 286/ Incidence, proximal colon cancer ≥83.4 vs ≤75.7 0.97 (0.58-1.63) Ptrend:0.41 283/ Incidence, rectal cancer ≥83.4 vs ≤75.7 1.32 (0.80-2.17) Ptrend:0.62 210/ ≥83.4 vs ≤75.7 0.81 (0.46-1.40) Ptrend:0.25 Incidence, colo... | 0 | [
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cancer, BMI Ptrend:0.12 0.52 (0.22-1.23) 76/ BMI < 25 vs ≥89.4 ≤80.9 Ptrend:0.16 3.34 56/ BMI >=30 vs ≥89.4 ≤80.9 Ptrend:0.02 4.22 No diabetes & 47/ vs ≥89.4 ≤80.9 BMI ≥30 Ptrend:0.01 Age, alcohol per 1 unit/day 1.05 (1.00-1.11) consumption, BMI, adjusted calcium, adjusted folate, energy-adjusted total fat, WHS, adjust... | cancer, BMI Ptrend:0.12 76/ BMI < 25 ≥89.4 vs ≤80.9 0.52 (0.22-1.23) Ptrend:0.16 56/ BMI >=30 ≥89.4 vs ≤80.9 3.34 Ptrend:0.02 47/ No diabetes & BMI ≥30 ≥89.4 vs ≤80.9 4.22 Ptrend:0.01 Higginbotham, 2004 COL00299 USA WHS, Prospective Cohort, Age: 45- years, W, nurses 174/ 38 451 7.9 years Cancer registry FFQ Incidence, ... | 0.376775 | [
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2004 Prospective 38 451 colorectal cancer consumption, COL00299 Cohort, 7.9 years BMI, USA Age: 45- years, adjusted W, calcium, nurses adjusted folate, energy-adjusted total fat, adjusted vitamin d, energy total Ptrend:0.004 fibre, family history of specific cancer, history of oral contraceptive use, HRT use, NSAID use... | 2004 COL00299 USA Prospective Cohort, Age: 45- years, W, nurses 38 451 7.9 years colorectal cancer Ptrend:0.004 consumption, BMI, calcium, folate, energy-adjusted total fat, vitamin d, energy total fibre, family history of specific cancer, history of oral contraceptive use, HRT use, NSAID use, physical activity, smokin... | 0.36476 | [
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Table 209 Dietary n-3 fatty acid from fish and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR meta-analysis Cases/ Author, Year, name, Study size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend fac... | Table 209 Dietary n-3 fatty acid from fish and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR meta-analysis Author, Year, WCRF Code, Country name, characteristics Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment... | 0.476234 | [
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219 Alcohol (as ethanol) and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response meta-analysis Cases/ Author, Year, Study name, size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend factors... | 219 Alcohol (as ethanol) and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response meta-analysis Author, Year, WCRF Code, Country Study name, characteristics Cases/ size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment fac... | 0.371616 | [
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Aleksandrova, Prospective 347 237 Incidence, Age, sex, body Used Bamia, 2014 Cohort, 12 years colorectal limited vs heavy 0.96 (0.87-1.06) fat, diet quality, 2013 which COL41051 Age: 25-70 cancer, educational level, provides Europe years, physical activity, category range limited vs heavy 0.81 (0.73-0.89) M/W smoking 1... | Aleksandrova, 2014 COL41051 Europe Prospective Cohort, Age: 25-70 years, M/W 347 237 12 years Incidence, colorectal cancer, Age, sex, body fat, diet quality, educational level, physical activity, smoking Used Bamia, 2013 which provides category range limited vs heavy 0.96 (0.87-1.06) 1 757/ Men limited vs heavy 0.81 (0... | 0.231703 | [
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Netherlands Case Cohort family history of 2008 COL40635 Age: 55-69 colorectal cancer, years, nutrients, smoking M/W status Incidence, rectal Age, BMI, cancer, men, 0.98 (0.20-4.00) calcium intake, family history of colorectal cancer, nutrients, smoking status | Netherlands Case Cohort Age: 55-69 years, M/W family history of colorectal cancer, nutrients, smoking status Age, BMI, calcium intake, family history of colorectal cancer, nutrients, smoking status 2008 COL40635 Incidence, rectal cancer, men, 0.98 (0.20-4.00) | 0.492479 | [
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Cases/ Author, Year, name, Study size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend factors exclusions Country (years) 191/ MCS, 21 201 Incidence, colon vs 1.90 (1.20-3.70) Age, educational ≥22.8 ≤0 Nakaya, 2005 Prospective Supers... | Author, Year, WCRF Code, Country name, characteristics Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Reasons for exclusions Nakaya, 2005 COL01872 Japan MCS, Prospective Cohort, Age: 40-64 M 191/ 21 201 153 389 Cancer registry Questionn... | 0.09245 | [
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total physical activity, use of HRT, vegetable intake Age, sex, area of vs ≥32.8 ≤16.7 0.60 (0.33-1.07) residence, BMI, ng/ml 229/ Incidence, MEC, family history of 434 controls colorectal cancer per 2 ngml 0.71 (0.53-0.95) Nested Case colon cancer, Woolcott, 2010 Cancer registry Control, Unit converted fasting per 2 n... | total physical activity, use of HRT, vegetable intake Woolcott, 2010 COL40799 USA MEC, Nested Case Control, Age: 45-75 years, M/W 229/ 434 controls Cancer registry and national Index Dietary recall Incidence, colorectal cancer ≥32.8 vs ≤16.7 ng/ml 0.60 (0.33-1.07) Age, sex, area of residence, BMI, family history of col... | 0.285274 | [
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40/ Incidence, rectal 37.4 vs 21.2 3.32 (0.87 to meat intake, 70 controls cancer ng/ml 12.69) pack-years of smoking, year of 193/ Incidence, 0.51 (0.26 to Q5 vs Q1 Interview NHS, 383 controls colorectal cancer Nested Case 149/ Incidence, colon 0.64 (0.33 to Control, Q4 vs Q1 295 controls cancer Age: 66 years, W 44/ Inc... | meat intake, pack-years of smoking, year of Interview 40/ 70 controls Incidence, rectal cancer 37.4 vs 21.2 ng/ml 3.32 (0.87 to 12.69) NHS, Nested Case Control, Age: 66 years, W 193/ 383 controls Incidence, colorectal cancer Q5 vs Q1 0.51 (0.26 to 149/ 295 controls Incidence, colon cancer Q4 vs Q1 0.64 (0.33 to 44/ 88 ... | 0.19991 | [
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Table 232 Dietary vitamin E and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response analysis Author, Year, Missing data Study name, Study size Case Exposure RR (95%CI) Adjustment WCRF Code, Outcome Comparison derived for characteristics Follow-up ascertainment assessment Ptrend... | Table 232 Dietary vitamin E and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response Author, Year, WCRF Code, Country Study name, characteristics Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Missing d... | 0.33712 | [
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Physicians salad intake, study Lin, 2009 WACS, 44/ Multiple Incidence, Age, alcohol COL41000 Randomised 7 627 methods colorectal cancer consumption, vitamin e vs USA Control 9.4 years 0.63 (0.34-1.15) BMI, smoking placebo Age: 40- years, status, treatment W allocation Lee, 2005 WHS, 214/ Self-reported Questionnaire Inc... | Physicians salad intake, study Lin, 2009 COL41000 USA WACS, Randomised Control Age: 40- years, W 44/ 7 627 9.4 years Multiple methods Incidence, colorectal cancer vitamin e vs placebo 0.63 (0.34-1.15) Age, alcohol consumption, BMI, smoking status, treatment allocation Lee, 2005 COL40761 USA WHS, Randomised Control Age:... | 0.169438 | [
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BMI, diabetes, dialect educational level, energy Cohort, intake, exposure Age: 45-74 compared to Singapore 9.8 assessment, years, lowest analysis family history M/W of colorectal cancer, physical activity, smoking habits Age, BMI, intakes of energy, alcohol beef, pork or lamb as a main dish, family Superseded by histor... | Singapore Cohort, Age: 45-74 years, M/W 9.8 BMI, diabetes, dialect educational level, energy intake, exposure assessment, family history of colorectal cancer, physical activity, smoking habits compared to lowest analysis Schernhammer, 2008 COL40730 USA NHS, Prospective Cohort, Age: 30-55 years, W 399/ 88 691 22 years S... | 0.435178 | [
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Table 257 Total folate and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Cases/ Author, Year, Missing data Study name, Study size Case Exposure RR (95%CI) Adjustment WCRF Code, Outcome Comparison derived for characteristics Follow-up ascertainment assessment... | Table 257 Total folate and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Author, Year, WCRF Code, Country Study name, characteristics Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment f... | 0.364521 | [
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vitamin B12, vitamin B6, total energy intake, family history of colorectal cancer, multivitamin supplement use, physical activity, previous polyps, sigmoidoscopy, smoking status IWHS, McCarl, 2006 Prospective 954/ Superseded by Incidence, vs ≥634.61 COL40633 Cohort, 35 197 SEER registry FFQ 0.73 (0.59-0.89) Age Razzak,... | vitamin B12, vitamin B6, total energy intake, family history of colorectal cancer, multivitamin supplement use, physical activity, previous polyps, sigmoidoscopy, smoking status McCarl, 2006 COL40633 USA IWHS, Prospective Cohort, Age: 55-69 W 954/ 35 197 15 years SEER registry FFQ Incidence, colorectal cancer ≥634.61 v... | 0.316936 | [
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1 026/ Incidence, colon 4 416 active vs low 0.65 (0.43-0.99) cancer, men questionnaire: 16 occupational NLCS, Incidence, distal Age, BMI, family sitting time Prospective 530/ colon cancer, active vs low 0.71 (0.42-1.21) Simons, 2013 history of colon cancer, and Cohort, men nonoccupational COL40956 Cancer registry meat ... | Simons, 2013 COL40956 Netherlands NLCS, Prospective Cohort, Age: 55-69 years, M/W 1 026/ 4 416 16 Cancer registry questionnaire: occupational sitting time and nonoccupational physical activity time odd jobs, and Incidence, colon cancer, men active vs low 0.65 (0.43-0.99) Age, BMI, family history of colon cancer, meat i... | 0.292211 | [
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colorectal cancer, folate, Incidence, 0.71 (0.52-0.96) Health height, history colon cancer, Ptrend:0.04 Professionals of endoscopy, Follow-up pack-years of smoking before Study, 466/ age 30, Prospective 46 632 Q65 vs Q61 processed meat Cohort, 14 M, Incidence, 0.95 (0.56-1.60) Health rectal cancer Ptrend:0.37 professio... | colorectal cancer, folate, height, history of endoscopy, pack-years of smoking before age 30, processed meat Health Professionals Follow-up Study, Prospective Cohort, M, Health professionals 466/ 46 632 14 Incidence, colon cancer, Q65 vs Q61 0.71 (0.52-0.96) Ptrend:0.04 Incidence, rectal cancer 0.95 (0.56-1.60) Ptrend:... | 0.158392 | [
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230/ Incidence, regular training 81 516 colon cancer, (r3+r4) vs 1.33 (0.90-1.98) 1 305 607 male, colon sedentary (r1) person-years cancer Incidence, regular training rectal cancer, 169/ (r3+r4) vs 0.98 (0.60-1.61) male, rectal sedentary (r1) cancer Incidence, regular training colon cancer, 99/ (r3+r4) vs 0.84 (0.43-1.... | Thune, 1996 COL00269 Norway Norwegian national health screening service study, Prospective Cohort, Age: 20-69 M/W 230/ 81 516 1 305 607 person-years Personal number Questionnaire Incidence, colon cancer, male, colon cancer regular training (r3+r4) vs sedentary (r1) 1.33 (0.90-1.98) 169/ Incidence, rectal cancer, male, ... | 0 | [
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Table 308 Recreational physical activity and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR meta-analysis Cases/ Author, Year, Study name, Study size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend... | Table 308 Recreational physical activity and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR meta-analysis Author, Year, WCRF Code, Country Study name, characteristics Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjust... | 0.281841 | [
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Cancer Prevention Study, Nested Case Control, Age: 50-69 years, M, Male Smokers Giovannucci, Health 203/ Incidence, 46.8 Voluntarily vs 0.9 Questionnaire 0.44 (0.27-0.71) Age 1995 Professionals 31 055 colon cancer responded to COL00110 Follow-up 6 years mailed Age, aspirin use, USA Study, questionnaire BMI, energy Pros... | Cancer Prevention Study, Nested Case Control, Age: 50-69 years, M, Male Smokers Giovannucci, 1995 COL00110 USA Health Professionals Follow-up Study, Prospective Cohort, Age: 40-75 years, M 203/ 31 055 6 years Voluntarily responded to mailed questionnaire Questionnaire Incidence, colon cancer 46.8 vs 0.9 0.44 (0.27-0.71... | 0.452584 | [
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Table 316 Energy intake and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response analysis Author, Year, name, Study size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend factors exclusion Co... | Table 316 Energy intake and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response Author, Year, WCRF Code, Country name, characteristics Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Reasons for exclu... | 0.269047 | [
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Incidence, 23.45 use, folate, ≤ Ptrend:0.15 proximal kg/m2 smoking status, colorectal cancer total fat, obese III vs 1.30 (0.78-2.18) vitamin E, normal Ptrend:0.06 alcohol, cigarette 29.52 vs consumption, ≥ 1.44 (1.14-1.83) 23.45 and ≤ Ptrend:0.001 kg/m2 vegetable, physical activity level, red meat Incidence, distal 66... | use, folate, smoking status, total fat, vitamin E, alcohol, cigarette consumption, and vegetable, physical activity level, red meat Incidence, proximal colorectal cancer ≤ 23.45 kg/m2 Ptrend:0.15 obese III vs normal 1.30 (0.78-2.18) Ptrend:0.06 660/ Incidence, distal colorectal cancer ≥ 29.52 vs ≤ 23.45 kg/m2 1.44 (1.1... | 0.258728 | [
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Age: 25-70 Incidence, colon 29.4 vs < 23.6 1.55 (1.12-2.15) level, physical ≥ 421/ years, cancer, men kg/m2 Ptrend:0.06 activity, M/W smoking status, Incidence, rectal 29.4 vs < 23.6 1.05 (0.72-1.55) ≥ 295/ age at cancer, men kg/m2 Ptrend:0.47 recruitment, fibre, fish and shellfish, fruits and vegetables, red and Incid... | Age: 25-70 years, M/W level, physical activity, smoking status, age at recruitment, fibre, fish and shellfish, fruits and vegetables, red and processed meat 421/ Incidence, colon cancer, men ≥ 29.4 vs < 23.6 kg/m2 1.55 (1.12-2.15) Ptrend:0.06 295/ Incidence, rectal cancer, men ≥ 29.4 vs < 23.6 kg/m2 1.05 (0.72-1.55) Pt... | 0.23243 | [
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intake, HRT use, supplements, physical activity, family & W, history of Wei, 2004 nurses colorectal COL00581 cancer, menopause status, red meat, sigmoidoscopy, vitamin D HIH, Historical Age, Lee, 2012 Cohort, 15/ Used in HvL Colonoscopy Body weight Incidence, 27 vs < 27 cardiovascular ≥ COL40877 Age: 35-80 5 517 0.75 (... | W, nurses intake, HRT use, supplements, physical activity, family history of colorectal cancer, menopause status, red meat, sigmoidoscopy, vitamin D & Wei, 2004 COL00581 Lee, 2012 COL40877 HIH, Historical Cohort, Age: 35-80 W, Health Insurance Holders 15/ 5 517 7 Colonoscopy examination Body weight was measured Inciden... | 0.357239 | [
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Incidence, 1.80 (0.70-5.00) 165/ proximal colon Ptrend:0.003 cancer, men Incidence, 1.50 (0.50-4.10) 156/ invasive rectal Ptrend:0.39 cancer, men Incidence, 1.80 (0.70-5.00) 151/ invasive distal Ptrend:0.006 cancer, men Incidence, rectal 1.30 (0.50-3.10) 131/ cancer, women Ptrend:0.56 Incidence, 0.50 (0.10-2.10) 112/ p... | 165/ Incidence, proximal colon cancer, men 1.80 (0.70-5.00) Ptrend:0.003 156/ Incidence, invasive rectal cancer, men 1.50 (0.50-4.10) Ptrend:0.39 151/ Incidence, invasive distal cancer, men 1.80 (0.70-5.00) Ptrend:0.006 131/ Incidence, rectal cancer, women 1.30 (0.50-3.10) Ptrend:0.56 112/ Incidence, proximal colon can... | 0 | [
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Glasgow Alumni Cohort study, Prospective Okasha, 2002 64/ Glasgow Mortality, Only 2 Cohort, Measured by a 22.8-35.08 vs < COL00351 10 675 university colorectal 0.98 (0.47-2.05) Age categories of Age: 20.00years, physician 19.71 kg/m2 Scotland 41 years alumni registry cancer, men results M/W, Glasgow University alumni A... | Okasha, 2002 COL00351 Scotland Glasgow Alumni Cohort study, Prospective Cohort, Age: 20.00years, M/W, Glasgow University alumni 64/ 10 675 41 years Glasgow university alumni registry Measured by a physician Mortality, colorectal cancer, men 22.8-35.08 vs < 19.71 kg/m2 0.98 (0.47-2.05) Age Only 2 categories of results C... | 0.151551 | [
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Incidence, 1.23 (0.81-1.86) 291/ rectal, 89 vs < 70.2 ≥ Ptrend:0.22 women 212/ Per 10 cm Age, country of 1.14 (1.02-1.28) 24 072 increase MCCS, Incidence, colon birth, education 10.4 years Prospective level, 88 vs < 80 cm 1.4 (1.0-1.9) ≥ MacInnis, 2006 Cohort, HRT use ((main Cancer registry, COL40751 Age: 27-75 Measure... | 291/ Incidence, rectal, women ≥ 89 vs < 70.2 1.23 (0.81-1.86) Ptrend:0.22 MacInnis, 2006 COL40751 Australia MCCS, Prospective Cohort, Age: 27-75 years, W 212/ 24 072 10.4 years Cancer registry, medical records Measured Incidence, colon Per 10 cm increase 1.14 (1.02-1.28) Age, country of birth, education level, HRT use ... | 0.417421 | [
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per 5 cm 1.14 0.98, 1.32 per 5 cm 0.95 (0.85-1.07) Incidence, rectal 299/ 183-200 vs cancer, men 0.71 (0.43-1.17) 172 cm Age, age at menopause, alcohol, calcium, cigarette consumption, IWHS, contraception, Oxentenko, Prospective 1 464/ Self-reported diabetes, energy 2010 Cohort, 36 941 height and Incidence, vs 1.38 (1.... | per 5 cm 1.14 0.98, 1.32 299/ Incidence, rectal cancer, men per 5 cm 0.95 (0.85-1.07) 183-200 vs cm 0.71 (0.43-1.17) Oxentenko, 2010 COL40849 USA IWHS, Prospective Cohort, Age: 55-69 years, W 1 464/ 36 941 619 961 Health registers Self-reported height and weight at baseline Incidence, colorectal cancer ≥169 vs ≤157 cm ... | 0.368423 | [
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M/W Incidence, colon vs <155 physical ≥167.5 563/ 1.4 (0.99-1.98) cancer, men cm activity, smoking status, Incidence, rectal vs ≥180.5 295/ 1.00 (0.66-1.52) age at cancer, men cm recruitment, fibre, fish and shellfish, fruits and vegetables, red and Incidence, rectal vs processed meat ≥167.5 291/ 0.78 (0.5-1.21) cancer... | M/W physical activity, smoking status, age at recruitment, fibre, fish and shellfish, fruits and vegetables, red and processed meat 563/ Incidence, colon cancer, men ≥167.5 vs <155 cm 1.4 (0.99-1.98) 295/ Incidence, rectal cancer, men ≥180.5 vs cm 1.00 (0.66-1.52) 291/ Incidence, rectal cancer, women ≥167.5 vs cm 0.78 ... | 0.369487 | [
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Incidence, rectal vs <150 ≥170 7 492/ 1.06 (0.97-1.15) cancer, women cm Age, alcohol 626/ Incidence, vs < ≥170 JPHC consumption, 102 949 colorectal 1.1 (0.8-1.5) cm I and II, smoking status, 9 years cancer, men Otani, 2005 Prospective miso soup Population COL01891 Cohort, intake, public Mid-point registries Incidence, ... | 7 492/ Incidence, rectal cancer, women ≥170 vs <150 cm 1.06 (0.97-1.15) Otani, 2005 COL01891 Japan JPHC I and II, Prospective Cohort, Age: 40-69 years, M/W 626/ 102 949 9 years Population registries Incidence, colorectal cancer, men ≥170 vs < cm 1.1 (0.8-1.5) Age, alcohol consumption, smoking status, miso soup intake, ... | 0.156039 | [
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108/ Incidence, vs ≥168 ≤162 29 051 2.13 (1.26-3.58) cancer, men cm Age, alcohol 8 TCCJ, consumption, Incidence, colon vs Shimizu, 2003 Prospective Hospital records educational ≥155 ≤150 93/ 1.48 (0.81-2.7) cancer, women cm COL00529 Cohort, and cancer Self-reported level, physical categories Age: 35- years, registry ac... | Shimizu, 2003 COL00529 TCCJ, Prospective Cohort, Age: 35- years, M/W 108/ 29 051 8 Hospital records and cancer registry Self-reported Incidence, cancer, men ≥168 vs ≤162 cm 2.13 (1.26-3.58) Age, alcohol consumption, educational level, physical activity, smoking habits, height categories 93/ Incidence, colon cancer, wom... | 0.146913 | [
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(I2, p Xu, 2013 12 0.96(0.84-1.09) 33%, 0.12 White meat Case-control:8 0.84 (0.67–1.06) 41%, 0.10 Prospective:4 0.73 (0.61–0.88) 0%, 0.64 11 0.97(0.80-1.19) 42%, 0.07 Highest vs lowest Fish Case-control:10 0.94(0.76-1.17) 42%, 0.08 Prospective:1 1.25(0.85-1.84) - 7 0.96(0.82-1.18) 38%, 0.14 Poultry Case-control:5 0.96(... | (I2, p Xu, 2013 White meat 12 Highest vs lowest 0.96(0.84-1.09) 33%, 0.12 Case-control:8 0.84 (0.67–1.06) 41%, 0.10 Prospective:4 0.73 (0.61–0.88) 0%, 0.64 Fish 11 0.97(0.80-1.19) 42%, 0.07 Case-control:10 0.94(0.76-1.17) 42%, 0.08 Prospective:1 1.25(0.85-1.84) - Poultry 7 0.96(0.82-1.18) 38%, 0.14 Case-control:5 0.96(... | 0.678776 | [
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measurement for men. For women: r=0.36. Nutrition survey of elderly in UK (Margetts, p 211) Vitamin B6 Plasma Validity 0.37 Correlation between B6 and plasma Urinary Validity - pyridoxal phosphate levels in 280 healthy men =0.37 (Willett p203) Folacin Validity 0.56 Correlation of 0.56 in Framington Heart Erythrocyte 0.... | measurement for men. For women: r=0.36. Nutrition survey of elderly in UK (Margetts, p 211) Vitamin B6 Plasma Urinary Validity Validity 0.37 - Correlation between B6 and plasma pyridoxal phosphate levels in 280 healthy men =0.37 (Willett p203) Folacin Erythrocyte Validity 0.56 0.51 Correlation of 0.56 in Framington Hea... | 0.906102 | [
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Table 4 Inclusion/exclusion table for meta-analysis of dietary calcium and colorectal cancer WCRFCode Author Year Design Study Name Subgroup Cancer SLR CUP CUP H vs. L Estimated Exclusion reason dose- forest plot outcome values response Mid- Nested case colorectal COLnew2 M 2010 EPIC No Sub-Group New Yes Yes exposure c... | Table 4 Inclusion/exclusion table for meta-analysis of dietary calcium and colorectal cancer WCRFCode Author Year Design Study Name Subgroup Cancer outcome SLR CUP dose- response CUP H vs. L forest plot Estimated values Exclusion reason COLnew2 M 2010 Nested case EPIC No Sub-Group colorectal cancer New Yes Yes Mid- exp... | 0.491461 | [
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Table 7 Appendix 6 Inclusion/exclusion table for meta-analysis of supplemental vitamin D and colorectal cancer WCRFCode Author Year Name Subgroup SLR CUP CUP H Estimated values Exclusion reason Study Cancer Design outcome dose- vs. L response forest plot COL40668 Park SY 2007 Men New No Yes Missing PY Prospective Hawai... | Table 7 Appendix 6 Inclusion/exclusion table for meta-analysis of supplemental vitamin D and colorectal cancer WCRFCode Author Year Study Design Name Subgroup Cancer outcome SLR CUP dose- response CUP H vs. L forest plot Estimated values Exclusion reason COL40668 Park SY 2007 Prospective Cohort Hawaii-Los Angeles Multi... | 0.515591 | [
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Policy Expiration Date: Dig Safe #: Name of Competent Person (as defined by 520 CMR 7.02): Massachusetts Hoisting License # License Grade: Expiration Date: BY SIGNING THIS FORM, THE APPLICANT, OWNER, AND EXCAVATOR ALL ACKNOWLEDGE AND CERTIFY THAT THEY ARE FAMILIAR WITH, OR, BEFORE COMMENCEMENT OF THE WORK, WILL BECOME ... | Policy Expiration Date: Dig Safe #: Name of Competent Person (as defined by 520 CMR 7.02): Massachusetts Hoisting License # License Grade: Expiration Date: BY SIGNING THIS FORM, THE APPLICANT, OWNER, AND EXCAVATOR ALL ACKNOWLEDGE AND CERTIFY THAT THEY ARE FAMILIAR WITH, OR, BEFORE COMMENCEMENT OF THE WORK, WILL BECOME ... | 1 | [
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SECTION E : Flow HERE Enter name of Code of Conduct in Are you going to apply Was the only shaded box Box C below or Approved Have you ticked standards set out in either a ticked in Section D, Procedure number in Box A below any shaded box in YES YES Professional Code of YES question 1, concerning and ensure Section F ... | SECTION E : Flow HERE Have you ticked any shaded box in Section D? YES Was the only shaded box ticked in Section D, question 1, concerning informed consent? YES Are you going to apply standards set out in either a Professional Code of Conduct*or an ** governing your research activity? YES Enter name of Code of Conduct ... | 0.738377 | [
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2. Annual planning of curriculum P.O. Box 1390 activities within the school. ELDORET 3. Designing teaching materials and aids 4. Setting , administration and marking of +254 722 689 675 examinations 5. Preparation of students for Science congress and symposia EDUCATION AND TRAINING Dates Title of qualification Principa... | P.O. Box 1390 ELDORET +254 722 689 675 2. Annual planning of curriculum activities within the school. 3. Designing teaching materials and aids 4. Setting , administration and marking of examinations 5. Preparation of students for Science congress and symposia EDUCATION AND TRAINING Dates Title of qualification Principa... | 0.542504 | [
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Non-target species Canids were infrequently detected at automated camera sites. Foxes were photographed on a total of 22 occasions (18 pre-bait and 4 post-bait) and wild dog / dingoes were photographed 4 times only during the post-bait monitor period. Data from the counts of carnivorous are summarised in Table 8 and re... | Non-target species Canids were infrequently detected at automated camera sites. Foxes were photographed on a total of 22 occasions (18 pre-bait and 4 post-bait) and wild dog / dingoes were photographed 4 times only during the post-bait monitor period. Data from the counts of carnivorous are summarised in Table 8 and re... | 0.747638 | [
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How is Christopher Evidence Analysis like this? This shows In some of his that interactions Christopher "I find people with other struggles to confusing. characters, understand This is for Christopher facial two main shows that he expressions reasons. The can find which can first main people impact how reason is diffic... | How is Christopher like this? Evidence Analysis Finds people confusing In some of his interactions with other characters, Christopher shows that he can find people difficult to understand. For example, when the police officer is asking him lots of questions and he responds by groaning. He is aware of this issue and wri... | 0.263663 | [
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S 02-03-10 By e-mail this date the TSS distributed a letter granting Phase II status to the Walla Transmission Project with a Planned Rating of 800 MW east to west, measured at BPA’s McNary 230 kV substation. S 10-19-10 By e-mail this date Pacific Power provided notice of a kick-off project review group meeting for the... | S 02-03-10 By e-mail this date the TSS distributed a letter granting Phase II status to the Walla Transmission Project with a Planned Rating of 800 MW east to west, measured at BPA’s McNary 230 kV substation. S 10-19-10 By e-mail this date Pacific Power provided notice of a kick-off project review group meeting for the... | 1 | [
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S 07-19-10 By e-mail this date IPC provided notice to the Southern Idaho Study Group of the availability on the IPC ftp site of an updated 19LW3a case and associated dynamic file with the Gateway West project modeled in it. A request was made for a thorough review of the case to ensure that it accurately models the spe... | S 07-19-10 By e-mail this date IPC provided notice to the Southern Idaho Study Group of the availability on the IPC ftp site of an updated 19LW3a case and associated dynamic file with the Gateway West project modeled in it. A request was made for a thorough review of the case to ensure that it accurately models the spe... | 1 | [
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N 8-16-13 By email this date Tri-State Generation and Transmission Association, Inc. (TSGT) desires to expedite the Rating Process for re-defining a WECC Path 36 element. TSGT is undertaking a project to sectionalize the Laramie River Station (LRS)- Story 345 kV line for a radial load serving connection, at a point app... | N 8-16-13 By email this date Tri-State Generation and Transmission Association, Inc. (TSGT) desires to expedite the Rating Process for re-defining a WECC Path 36 element. TSGT is undertaking a project to sectionalize the Laramie River Station (LRS)- Story 345 kV line for a radial load serving connection, at a point app... | 0.96926 | [
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A1.IF.C.3 Compare the properties of two Not Not applicable. Not applicable. functions different applicable. representations. new functions from existing functions (limited Build new functions from existing functions. to linear, quadratic, and exponential). A1.BF.A.1 Analyze the effects of translations and Not Not appli... | A1.IF.C.3 Compare the properties of two functions different representations. Not applicable. Not applicable. Not applicable. new functions from existing functions (limited to linear, quadratic, and exponential). Build new functions from existing functions. A1.BF.A.1 Analyze the effects of translations and changes on fu... | 0.681439 | [
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introducing and introducing and introducing and supporting supporting a claim with supporting a claim with a claim with clear reasons clear reasons and relevant clear reasons and relevant and relevant evidence; W2C W1D, evidence. evidence, acknowledging acknowledging counterclaims, and counterclaims; and W2B, W1B, esta... | introducing and supporting a claim with clear reasons and relevant evidence. introducing and supporting a claim with clear reasons and relevant evidence, acknowledging counterclaims, and establishing relationships between claims and supporting evidence. introducing and supporting a claim with clear reasons and relevant... | 0.506876 | [
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NF Kindergarten Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Develop understanding Extend understanding of Understand the of fractions as numbers. fraction equivalence and relationship between A ordering. (Limit fractions and decimals denominators to 2, 3, 4, (denominators that are 5, 6, 8, 10, 12 and 100.) factors of 100).... | NF Kindergarten Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 A Develop understanding of fractions as numbers. Extend understanding of fraction equivalence and ordering. (Limit denominators to 2, 3, 4, 5, 6, 8, 10, 12 and 100.) Understand the relationship between fractions and decimals (denominators that are factors of 100).... | 0.651349 | [
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Decompose a fraction Justify the reasonableness into a sum of fractions of a product when with the same multiplying with fractions. denominator and record Estimate the size of the each decomposition with product based on the an equation and size of the two factors. justification. Explain why multiplying a given number ... | Decompose a fraction into a sum of fractions with the same denominator and record each decomposition with an equation and justification. Justify the reasonableness of a product when multiplying with fractions. Estimate the size of the product based on the size of the two factors. Explain why multiplying a given number ... | 0.768463 | [
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9-12 American 9-12 World 6-8 American History 6-8 World History 6-8 Geography 9-12 Government 1. History: Continuity and Change (cont’d) History History D. Describe the causes D. Compare and contrast Theme 2 and consequences of the the structure and Seven Years War as a function of democratic turning point in American ... | 1. History: Continuity and Change (cont’d) 6-8 American History 9-12 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government Theme 2 D. Describe the causes and consequences of the Seven Years War as a turning point in American history. D. Compare and contrast the structure and function of de... | 0.653104 | [
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6-8 World 6-8 American History 9-12 American History 9-12 World History 6-8 Geography 9-12 Government History Conflict and Crisis The American Modern Era Conflict and Crisis Theme 5 A. Analyze political A. Describe the causes, A. Analyze A. Debate the compromises over major conflicts, imperialism in the late developmen... | 6-8 American History 9-12 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government Theme 5 Conflict and Crisis A. Analyze political compromises over slavery in the territories to explain intensifying sectional conflicts. The American A. Describe the causes, major conflicts, consequences, and ... | 0.472116 | [
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and popular impact of shifting agreements, and sovereignty to explain interpretations of international peoples’ expectations governmental and organizations to and of the role of constitutional principles determine their impact on government and their including separation of world challenges along place in governance. p... | and popular sovereignty to explain peoples’ expectations of the role of government and their place in governance. impact of shifting interpretations of governmental and constitutional principles including separation of powers, checks and balances, rule of law, judicial review, and limited government. agreements, and in... | 0.447904 | [
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4. Economic Concepts 6-8 American 9-12 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government History Settlements Re-emerging America Civilizations: Accelerated Exchange World Geography and Historical 2 Geography’s Impact on Cultures Foundations A. Compare sources A. Evaluate how the goals ... | 4. Economic Concepts 6-8 American History 9-12 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government 2 Settlements A. Compare sources of labor, emerging economic production, and availability of land in the New World and their impact on economic development in North and South America. Re-em... | 0.398185 | [
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5. People, Groups, and Cultures 9-12 American 6-8 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government History Expansion The Great Middle Ages Regional Age of Revolutions Government in 4 Depression and Interconnectedness and Action A. Evaluate the World War II Conflict A. Analyze the effe... | 5. People, Groups, and Cultures 6-8 American History 9-12 American History 6-8 World History 9-12 World History 6-8 Geography 9-12 Government 4 Expansion A. Evaluate the effectiveness of various. reform movements, laws, and events to determine impact on the promise of American ideals. . The Great Depression and World W... | 0.426228 | [
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Understanding various types of taxes and their purposes SS4, G4.7 4.E.4.C Explain how the government utilizes to provide and Factors that influence the economy SS4, G1.9 4.E.4.D Explain the factors, past and present, that influence changes in regional economies (e.g. technology, movement of people, resources, etc.). Re... | Understanding various types of taxes and their purposes 4.E.4.C Explain how the government utilizes to provide and SS4, G4.7 Factors that influence the economy 4.E.4.D Explain the factors, past and present, that influence changes in regional economies (e.g. technology, movement of people, resources, etc.). SS4, G1.9 Ge... | 0.85388 | [
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schedules showing use of equipment materials and tools. size Characteristics of display may include: mass width volume colour design functions ergonomics cost materials architectural features. Materials Materials and components required for shopfitting solid timber construction may include: manufactured board aluminium... | schedules showing use of equipment materials and tools. Characteristics of display may include: size mass width volume colour design functions ergonomics cost materials architectural features. Materials and components required for shopfitting construction may include: Materials solid timber manufactured board aluminium... | 0.78202 | [
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Woodman Johnson Defence mechanisms, such as: Munsterberg Humanist, such as: Rogers Yalom May Frankl Cognitive, such as: Ellis Beck Cognitive dissonance theory Learning, such as: Bandura Behaviourism, such as: Watson Skinner ego psychology psychopathology psychological models of offender profiling forensic psychology Ke... | Woodman Johnson Defence mechanisms, such as: Munsterberg Humanist, such as: Rogers Yalom May Frankl Cognitive, such as: Ellis Beck Cognitive dissonance theory Learning, such as: Bandura Behaviourism, such as: Watson Skinner ego psychology psychopathology psychological models of offender profiling forensic psychology Ke... | 0.776911 | [
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application of key practice standards, relevant legislation and ethical requirements to development and implementation of strategies monitoring and reviewing of implementation to order to make any necessary adjustments and to inform improved future practice knowledge of current theories, approaches, debates and practic... | application of key practice standards, relevant legislation and ethical requirements to development and implementation of strategies monitoring and reviewing of implementation to order to make any necessary adjustments and to inform improved future practice knowledge of current theories, approaches, debates and practic... | 0.947779 | [
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Section B: Course Information Appendices Appendix 3: Employability skills summary Self-management that evaluating and taking responsibility for own performance and • contributes to employee identifying areas for improvement satisfaction and growth responding appropriately to constructive feedback on performance • apply... | Section B: Course Information Appendices Appendix 3: Employability skills summary Self-management that contributes to employee satisfaction and growth • evaluating and taking responsibility for own performance and identifying areas for improvement • responding appropriately to constructive feedback on performance • app... | 0.733733 | [
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The following principles should be used as a guide to the assessment approach: assessment tasks/activities should be grounded in a relevant context and not be culturally biased students should be assessed across a wide range of tasks integrated into practice, in order to increase reliability and validity of assessment.... | The following principles should be used as a guide to the assessment approach: assessment tasks/activities should be grounded in a relevant context and not be culturally biased students should be assessed across a wide range of tasks integrated into practice, in order to increase reliability and validity of assessment.... | 1 | [
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hair worms bloodworms threadworms stomach worms EVIDENCE GUIDE The evidence guide provides advice on assessment and must be read in conjunction with the Performance Criteria, Required Skills and Knowledge, the Range Statement and the Assessment section in Section B of the accreditation submission. Critical aspects for ... | hair worms bloodworms threadworms stomach worms EVIDENCE GUIDE The evidence guide provides advice on assessment and must be read in conjunction with the Performance Criteria, Required Skills and Knowledge, the Range Statement and the Assessment section in Section B of the accreditation submission. Critical aspects for ... | 0.952279 | [
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workplace culture of: collaborative relationships open communication, sharing of information and ideas everyone is responsible for quality and continuous improvement job ownership clear understanding of the benefits of quality management saving of time and resources job satisfaction through engagement and job ownership... | workplace culture of: collaborative relationships open communication, sharing of information and ideas everyone is responsible for quality and continuous improvement job ownership clear understanding of the benefits of quality management saving of time and resources job satisfaction through engagement and job ownership... | 0.912987 | [
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Degree of hearing loss Hearing loss may • include: Pre-lingual deafness • Post-lingual deafness • Type of hearing • Deafblind • loss Usher Syndrome • Understanding of own limitations Ethical practice may • include: Rights, responsibilities • Code of Ethics - Australian Sign Language • Commitment to Interpreters Associa... | Hearing loss may include: • Type of hearing loss • Degree of hearing loss • Pre-lingual deafness • Post-lingual deafness • Deafblind • Usher Syndrome Ethical practice may include: • Commitment to empowering clients • Delivery of appropriate services • Client directed service provision • Commitment to meeting the needs ... | 0.619583 | [
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Method of assessment This unit may be assessed on the job or through • simulation under the normal range of conditions • Assessment must be over a range of situations with more than one target group. It will entail observations and other workplace assessment tools Assessment activities should span notetaking • assignme... | Method of assessment • This unit may be assessed on the job or through simulation under the normal range of conditions • Assessment must be over a range of situations with more than one target group. It will entail observations and other workplace assessment tools • Assessment activities should span notetaking assignme... | 0.854843 | [
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4.1 Qualification level This course is consistent with the AQF level 5 as defined in the Australian Qualifications Framework. The Diploma qualifies individuals who apply integrated technical and theoretical concepts in a broad range of contexts to undertake advanced skilled or paraprofessional work and as a pathway for... | 4.1 Qualification level This course is consistent with the AQF level 5 as defined in the Australian Qualifications Framework. The Diploma qualifies individuals who apply integrated technical and theoretical concepts in a broad range of contexts to undertake advanced skilled or paraprofessional work and as a pathway for... | 0.8999 | [
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2.3 Provide timely and accurate responses to any written communications regarding coding queries as required 2.4 Make verbal inquiries of clinical health professionals as required according to organisational procedures and protocols 2.5 Refer any unresolved issues concerning clarity and accuracy of the clinical documen... | 2.3 Provide timely and accurate responses to any written communications regarding coding queries as required 2.4 Make verbal inquiries of clinical health professionals as required according to organisational procedures and protocols 2.5 Refer any unresolved issues concerning clarity and accuracy of the clinical documen... | 0.981511 | [
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54... | curr22274vicclinicalclass.docx | task-865-863 | 32 | [
[
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[
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108
],
[
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[
543,
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[
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650,
108
],
[
655,
90,
741,
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],
[
746,
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108
],
[
766,
... | [
[
371,
90,
397,
108
],
[
422,
90,
485,
108
],
[
490,
90,
538,
108
],
[
543,
90,
574,
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[
579,
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650,
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],
[
655,
90,
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],
[
746,
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[
766,
... |
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