Methods of epidemiology: Evaluating the fatg-breast cancer hypothesis g- comparing dietary instruments and other developments

Cancer Journal

Volumn 14, Issue 2, 2008, Pages 69-74

  Freedman, Laurence S ^a   Kipnis, Victor ^b   Schatzkin, Arthur ^b   Potischman, Nancy ^b  

^a GERTNER INSTITUTE FOR EPIDEMIOLOGY AND HEALTH POLICY RESEARCH   (Israel)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Breast cancer; Dietary fat; Dietary measurement error; Food frequency questionnaire; Multiple day food record

Indexed keywords

BREAST CANCER; CANCER EPIDEMIOLOGY; CANCER INCIDENCE; CANCER PREVENTION; CLINICAL TRIAL; COMPARATIVE STUDY; DIETARY INTAKE; FAT INTAKE; FOLLOW UP; FOOD FREQUENCY QUESTIONNAIRE; HUMAN; META ANALYSIS; NATIONAL HEALTH ORGANIZATION; NUTRITIONAL ASSESSMENT; OBSERVATIONAL STUDY; PRIORITY JOURNAL; PROPHYLAXIS; PUBLIC HEALTH; REVIEW; SYSTEMATIC REVIEW; ARTICLE; BREAST TUMOR; FEMALE; HEALTH CARE ORGANIZATION; POPULATION AND POPULATION RELATED PHENOMENA; RANDOMIZED CONTROLLED TRIAL; RISK FACTOR; UNITED STATES;

BREAST NEOPLASMS; DIETARY FATS; EPIDEMIOLOGIC MEASUREMENTS; FEMALE; HUMANS; META-ANALYSIS AS TOPIC; NATIONAL INSTITUTES OF HEALTH (U.S.); PUBLIC HEALTH; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RISK FACTORS; UNITED STATES;

EID: 50949129857     PISSN: 15289117     EISSN: 1540336X     Source Type: Journal    
DOI: 10.1097/PPO.0b013e31816a5e02     Document Type: Review

References (27)

1. Rothman KJ, Greenland S, eds. Modern Epidemiology. Philadelphia, PA: Lippincott Williams & Wilkins; 1998:24-28.
2. Howe GR, Hirohata T, Hislop TG, et al. Dietary factors and risk of breast cancer: combined analysis of 12 case-control studies. J Natl Cancer Inst. 1990;82:561-569.
3. Smith-Warner SA, Spiegelman D, Adami HO, et al. Types of dietary fat and breast cancer: a pooled analysis of cohort studies. Int J Cancer. 2001;92:767-774.
4. Willett WC. Cancer prevention: diet and chemopreventive agents: Section 1. Dietary fat. In: DeVita VT, Hellmann S, Rosenberg S, eds. Cancer: Principles and Practice of Oncology. 7th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2004.
5. Bingham SA, Luben R, Welch A, et al. Are imprecise methods obscuring a relation between fat and breast cancer? Lancet. 2003;362:212-214.
6. Freedman LS, Potischman N, Kipnis V, et al. A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol. 2006;35:1011-1021.
7. Prentice RM, Caan B, Chlebowski RT, et al. Low fat dietary pattern and risk of invasive breast cancer: The Women's Health Initiative randomized controlled dietary modification trial. JAMA. 2006;295:629-642.
8. Boyd NF, Stone J, Vogt KN, et al. Dietary fat and breast cancer risk revisited: a meta-analysis of the published literature. Br J Cancer. 2003;89:1672-1685.
9. Thiébaut AC, Kipnis V, Chang SC, et al. Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort. J Natl Cancer Inst. 2007;99:451-462.
10. Freudenheim JL, Marshall JR. The problem of profound mismeasurement and the power of epidemiologic studies of diet and cancer. Nutr Cancer. 1988;11:243-250.
11. Willett WC. Nutritional Epidemiology. New York, NY: Oxford University Press; 1990:69-91.
12. Prentice R. Measurement error and results from analytic epidemiology: dietary fat and breast cancer. J Natl Cancer Inst. 1996;88:1738-1747.
13. Kipnis V, Midthune D, Freedman LS, et al. Empirical evidence of correlated biases in dietary assessment instruments and its implications. Am J Epidemiol. 2001;153:394-403.
14. Day N, McKeown N, Wong M, et al. 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. 2001;30:309-317.
15. Prentice RL. Dietary assessment and the reliability of nutritional epidemiology reports. Lancet. 2003;362:182-183.
16. Women's Health Initiative Study Group. Design of the Women's Health Initiative Clinical Trial and Observational Study. Control Clin Trials. 1998;19:61-109.
17. Hays J, Hunt JR, Hubbell A, et al. The Women's Health Initiative recruitment methods and results. Ann Epidemiol. 2003;13:S18-S77.
18. Horvitz DG, Thompson DJ. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47:663-685.
19. Kipnis V, Freedman LS, Brown CC, et al. Interpretation of energy adjustment models for nutritional epidemiology. Am J Epidemiol. 1993; 137:1376-1380.
20. Willett W. Commentary: Dietary diaries versus food frequency questionnaires - a case of undigestible data. Int J Epidemiol. 2001;30:317-319.
21. Schatzkin A, Kipnis V, Carroll RJ, et al. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based OPEN study. Int J Epidemiol. 2003;32:1054-1062.
22. Willett WC, Hu FB. The food frequency questionnaire [Letter to the editors]. Cancer Epidemiol Biomarkers Prev. 2007;16:182-183.
23. Neuhouser M, Tinker L, Schoeller D, et al. Use of nutritional biomarkers to describe participant-related measurement error from dietary self-report in the Women's Health Initiative. In: Heitmann BL, Lissner L, Winkvist A, eds. Sixth International Conference on Dietary Assessment Methods: Complementary Advances in Diet and Physical Activity Assessment Methodologies. Copenhagen, Denmark: Diet Research Foundation, The Danish Network of Nutritional Epidemiologists, Swedish Network for Nutritional Epidemiology; 2006:SY01-01.
24. Riboli E, Kaaks R. Invited commentary: The challenge of multi-center cohort studies in the search for diet and cancer links. Am J Epidemiol. 2000;151:371-374.
25. Kipnis V, Subar AF, Midthune D, et al. The structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003;158:14-21.
26. Schatzkin A, Subar AF, Thompson FE, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol. 2001;154:1119-1125.
27. Carroll RJ, Ruppert D, Stefansk, LA, et al. Measurement Error in Nonlinear Models: A Modern Perspective. 2nd ed. Boca Raton, FL: Chapman and Hall CRC Press; 2006.