Fibre intake in relation to serum total cholesterol levels and CHD risk: a comparison of dietary assessment methods (original) (raw)

References

• Beaton GH (1994). Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology. Am J Clin Nutr 59 (Suppl 1), 253S–261S.
  Article CAS Google Scholar
• Bingham SA (2007). Dietary Assessment. In: Mann J, Truswell S (eds). Essentials of Human Nutrition, 3rd edn. Oxford University Press: Oxford.
  Google Scholar
• Bingham SA, Day NE (1997). Using biochemical markers to assess the validity of prospective dietary assessment methods and the effect of energy adjustment. Am J Clin Nutr 65 (Suppl 4), 1130S–1137S.
  Article CAS Google Scholar
• Bingham SA, Day NE, Luben R, Ferrari P, Slimani N, Norat T et al. (2003a). Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): an observational study. Lancet 361, 1496–1501.
  Article Google Scholar
• Bingham SA, Gill C, Welch A, Cassidy A, Runswick SA, Oakes S et al. (1997). Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. Int J Epidemiol 26 (Suppl 1), S137–S151.
  Article Google Scholar
• Bingham SA, Gill C, Welch A, Day K, Cassidy A, Khaw KT et al. (1994). Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br J Nutr 72, 619–643.
  Article CAS Google Scholar
• Bingham SA, Luben R, Welch A, Wareham N, Khaw KT, Day N (2003b). Are imprecise methods obscuring a relation between fat and breast cancer? Lancet 362, 212–214.
  Article Google Scholar
• Bingham SA, Welch AA, McTaggart A, Mulligan AA, Runswick SA, Luben R et al. (2001). Nutritional methods in the European Prospective Investigation of Cancer in Norfolk. Public Health Nutr 4, 847–858.
  Article CAS Google Scholar
• Dahm CC, Keogh RH, Spencer EA, Greenwood DC, Key TJ, Fentiman IS et al. (2010). Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries. J Natl Cancer Inst 102, 614–626.
  Article CAS Google Scholar
• Day N, McKeown N, Wong M, Welch A, Bingham S (2001). Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. Int J Epidemiol 30, 309–317.
  Article CAS Google Scholar
• Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A et al. (1999). EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer 80 (Suppl 1), 95–103.
  Google Scholar
• Elias P, Halstead K, Prandy K (1993). CASOC: Computer-Assisted Standard Occupational Coding. Her Majesty's Stationary Office: London.
  Google Scholar
• Englyst HN, Hudson GJ (1996). The classification and measurement of dietary carbohydrates. Food Chem 57, 15–21.
  Article CAS Google Scholar
• Englyst HN, Trowell H, Southgate DA, Cummings JH (1987). Dietary fiber and resistant starch. Am J Clin Nutr 46, 873–874.
  Article CAS Google Scholar
• Englyst KN, Liu S, Englyst HN (2007). Nutritional characterization and measurement of dietary carbohydrates. Eur J Clin Nutr 61 (Suppl 1), S19–S39.
  Article CAS Google Scholar
• Freedman LS, Potischman N, Kipnis V, Midthune D, Schatzkin A, Thompson FE et al. (2006). A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol 35, 1011–1021.
  Article Google Scholar
• Friedewald WT, Levy RI, Fredrickson DS (1972). Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18, 499–502.
  CAS Google Scholar
• Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK (1995). Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 24, 389–398.
  Article CAS Google Scholar
• Hebert JR, Ma Y, Clemow L, Ockene IS, Saperia G, Stanek III EJ et al. (1997). Gender differences in social desirability and social approval bias in dietary self-report. Am J Epidemiol 146, 1046–1055.
  Article CAS Google Scholar
• Hebert JR, Peterson KE, Hurley TG, Stoddard AM, Cohen N, Field AE et al. (2001). The effect of social desirability trait on self-reported dietary measures among multi-ethnic female health center employees. Ann Epidemiol 11, 417–427.
  Article CAS Google Scholar
• HMSO (1993). Food Portion Sizes. HMSO: London, UK.
• Holland B, Welch AA, Unwin ID, Buss DH, Paul AA, Southgate DA (1991). McCance and Widdowson's The Composition of Foods, 5th edn. Royal Society of Chemistry: Cambridge.
  Google Scholar
• Hudson TS, Forman MR, Cantwell MM, Schatzkin A, Albert PS, Lanza E (2006). Dietary fiber intake: assessing the degree of agreement between food frequency questionnaires and 4-day food records. J Am Coll Nutr 25, 370–381.
  Article CAS Google Scholar
• Jenab M, Slimani N, Bictash M, Ferrari P, Bingham SA (2009). Biomarkers in nutritional epidemiology: applications, needs and new horizons. Hum Genet 125, 507–525.
  Article Google Scholar
• Johansson G, Wikman A, Ahren AM, Hallmans G, Johansson I (2001). Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutr 4, 919–927.
  Article CAS Google Scholar
• Khaw KT, Jakes R, Bingham S, Welch A, Luben R, Day N et al. (2006). Work and leisure time physical activity assessed using a simple, pragmatic, validated questionnaire and incident cardiovascular disease and all-cause mortality in men and women: The European Prospective Investigation into Cancer in Norfolk Prospective Population Study. Int J Epidemiol 35, 1034–1043.
  Article Google Scholar
• Klipstein-Grobusch K, den Breeijen JH, Goldbohm RA, Geleijnse JM, Hofman A, Grobbee DE et al (1998). Dietary assessment in the elderly: validation of a semiquantitative food frequency questionnaire. Eur J Clin Nutr 52, 588–596.
  Article CAS Google Scholar
• Mahabir S, Baer DJ, Giffen C, Subar A, Campbell W, Hartman TJ et al. (2006). Calorie intake misreporting by diet record and food frequency questionnaire compared to doubly labeled water among postmenopausal women. Eur J Clin Nutr 60, 561–565.
  Article CAS Google Scholar
• McKeown NM, Day NE, Welch AA, Runswick SA, Luben RN, Mulligan AA et al. (2001). Use of biological markers to validate self-reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom Norfolk cohort. Am J Clin Nutr 74, 188–196.
  Article CAS Google Scholar
• Pereira MA, O’Reilly E, Augustsson K, Fraser GE, Goldbourt U, Heitmann BL et al. (2004). Dietary fiber and risk of coronary heart disease: a pooled analysis of cohort studies. Arch Intern Med 164, 370–376.
  Article Google Scholar
• Pietinen P, Rimm EB, Korhonen P, Hartman AM, Willett WC, Albanes D et al. (1996). Intake of dietary fiber and risk of coronary heart disease in a cohort of Finnish men. The Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Circulation 94, 2720–2727.
  Article CAS Google Scholar
• Riboli E. (1992). Nutrition and cancer: background and rationale of the European Prospective Investigation into Cancer and Nutrition (EPIC). Ann Oncol 3, 783–791.
  Article CAS Google Scholar
• Rimm EB, Ascherio A, Giovannucci E, Spiegelman D, Stampfer MJ, Willett WC (1996). Vegetable, fruit, and cereal fiber intake and risk of coronary heart disease among men. JAMA 275, 447–451.
  Article CAS Google Scholar
• Rothenberg E (1994). Validation of the food frequency questionnaire with the 4-day record method and analysis of 24-h urinary nitrogen. Eur J Clin Nutr 48, 725–735.
  CAS PubMed Google Scholar
• Rothenberg E, Bosaeus I, Steen B (1993). Intake of energy, nutrients and food items in an urban elderly population. Aging (Milano) 5, 105–116.
  CAS Google Scholar
• Scagliusi FB, Ferriolli E, Pfrimer K, Laureano C, Cunha CS, Gualano B et al. (2008). Underreporting of energy intake in Brazilian women varies according to dietary assessment: a cross-sectional study using doubly labeled water. J Am Diet Assoc 108, 2031–2040.
  Article Google Scholar
• Scagliusi FB, Ferriolli E, Pfrimer K, Laureano C, Cunha CS, Gualano B et al. (2009). Characteristics of women who frequently under report their energy intake: a doubly labelled water study. Eur J Clin Nutr 63, 1192–1199.
  Article CAS Google Scholar
• Smith AF, Jobe JB, Mingay DJ (1991). Retrieval from memory of dietary information. Appl Cognit Psychol 5, 269–296.
  Article Google Scholar
• Todd S, Woodward M, Tunstall-Pedoe H, Bolton-Smith C (1999). Dietary antioxidant vitamins and fiber in the etiology of cardiovascular disease and all-causes mortality: results from the Scottish Heart Health Study. Am J Epidemiol 150, 1073–1080.
  Article CAS Google Scholar
• Vuilleumier JP, Keck E (1989). Fluorometric assay of vitamin-C in biological-materials using a centrifugal analyzer with fluorescence attachment. J Micronutr Anal 5, 25–34.
  CAS Google Scholar
• Ward H, Luben RN, Wareham NJ, Khaw KT (2010). CHD risk in relation to alcohol intake from categorical and open-ended dietary instruments. Public Health Nutr 16, 1–8.
  Google Scholar
• Wareham NJ, Jakes RW, Rennie KL, Mitchell J, Hennings S, Day NE (2002). Validity and repeatability of the EPIC-Norfolk physical activity questionnaire. Int J Epidemiol 31, 168–174.
  Article Google Scholar
• Wareham NJ, Jakes RW, Rennie KL, Schuit J, Mitchell J, Hennings S et al. (2003). Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study. Public Health Nutr 6, 407–413.
  Article Google Scholar
• Welch AA, McTaggart A, Mulligan AA, Luben R, Walker N, Khaw KT et al. (2001). DINER (Data Into Nutrients for Epidemiological Research) - a new data-entry program for nutritional analysis in the EPIC-Norfolk cohort and the 7-day diary method. Public Health Nutr 4, 1253–1265.
  Article CAS Google Scholar
• Welch AA, Luben R, Khaw KT, Bingham SA (2005). The CAFE computer program for nutritional analysis of the EPIC-Norfolk food frequency questionnaire and identification of extreme nutrient values. J Hum Nutr Diet 18, 99–116.
  Article CAS Google Scholar
• Wolk A, Manson JE, Stampfer MJ, Colditz GA, Hu FB, Speizer FE et al. (1999). Long-term intake of dietary fiber and decreased risk of coronary heart disease among women. JAMA 281, 1998–2004.
  Article CAS Google Scholar

Download references