Observational epidemiologic studies of nutrition and cancer: The next generation (with better observation)

Cancer Epidemiology Biomarkers and Prevention

Volumn 18, Issue 4, 2009, Pages 1026-1032

  Schatzkin, Arthur ^a,d   Subar, Amy F ^a   Moore, Steven ^a   Park, Yikyung ^a   Potischman, Nancy ^a   Thompson, Frances E ^a   Leitzmann, Michael ^a   Hollenbeck, Albert ^b   Morrissey, Kerry Grace ^c   Kipnis, Victor ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

^b AARP   (United States)

^c WESTAT   (United States)

^d NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

CANCER EPIDEMIOLOGY; CANCER RESEARCH; CANCER RISK; COST EFFECTIVENESS ANALYSIS; DIET; FOOD INTAKE; HUMAN; INTERNET; LIFESTYLE; MALIGNANT NEOPLASTIC DISEASE; NUTRITION; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUESTIONNAIRE; RECALL; REVIEW; RISK FACTOR; SELF REPORT;

DIET; EPIDEMIOLOGIC STUDIES; HUMANS; NEOPLASMS; NUTRITIVE VALUE;

EID: 66649122575     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-08-1129     Document Type: Review

References (44)

1. World Cancer Research Fund. Diet, cancer, physical activity, and cancer. Washington (DC): American Institute for Cancer Research; 2007.
2. Tannenbaum A. The genesis and growth of tumors. III. Effects of a high-fat diet. Cancer Res 1942;2:468-475
3. Bjorkhem-Bergman L, Torndal UB, Eken S, et al. Selenium prevents tumor development in a rat model for chemical carcinogenesis. Carcinogenesis 2005;26:125-131 PubMed doi:10.1093/carcin/bgh290. (Pubitemid 40207707)
4. Carroll KK, Khor HT. Dietary fat in relation to tumorigenesis. Prog Biochem Pharmacol 1975;10:308-353 PubMed.
5. You WC, Jin F, Devesa S, et al. Rapid increase in colorectal cancer rates in urban Shanghai, 1972-1997, in relation to dietary changes. J Cancer Epidemiol Prev 2002;7:143-146 PubMed.
6. Kolonel LN, Wilkens LR. Migrant studies. In: Schottenfeld D, Fraumeni JF, editors. Cancer epidemiology and prevention. New York: Oxford University Press; 2006. p. 189-201.
7. Working IARC. Group on the Evaluation of Cancer-Preventive Strategies. Weight control and physical activity. Lyon (France): IARC; 2001.
8. Greenland S. The impact of prior distributions for uncontrolled confounding and response bias: a case study of the relation of wire codes and magnetic fields to childhood leukemia. J Am Stat Assoc 2003;98:47-54. doi:10.1198/01621450338861905. (Pubitemid 36446640)
9. McCandless LC, Gustafson P, Levy AR. A sensitivity analysis using information about measured confounders yielded improved uncertainty assessments for unmeasured confounding. J Clin Epidemiol 2008;61:247-255 PubMed doi:10.1016/j.jclinepi.2007.05.006.
10. Schatzkin A, Abnet C, Cross A, et al. Mendelian randomization: how it can-and cannot-help confirm causal relations between nutrition and cancer. Cancer Prev Res 2009;2:104-113
11. Freudenheim JL, Marshall JR. The problem of profound mismeasurement and the power of epidemiological studies of diet and cancer. Nutr Cancer 1988;11:243-250 PubMed. (Pubitemid 18213976)
12. Schatzkin A, Kipnis V. Could exposure assessment problems give us wrong answers to nutrition and cancer questions? J Natl Cancer Inst 2004;96:1564-1565 PubMed.
13. Neuhouser ML, Tinker L, Shaw PA, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. Am J Epidemiol 2008;167:1247-1259 PubMed doi:10.1093/aje/kwn026.
14. Rosner B, Michels KB, Chen YH, Day NE. Measurement error correction for nutritional exposures withcorrelated measurement error: use of the method of triads in a longitudinal setting. Stat Med 2008;27:3466-3489 PubMed doi:10.1002/sim.3238.
15. Willet WC. Nutritional epidemiology. 2nd ed. New York: Oxford University Press; 1998.
16. Kristal AR, Peters U, Potter JD. Is it time to abandon the food frequency questionnaire. Cancer Epidemiol Biomarkers Prev 2005;14:2826-2828 PubMed doi:10.1158/1055-9965.EPI-12-ED1. (Pubitemid 43068811)
17. Kaaks R, Ferrari P, Ciampi A, Plummer M, Riboli E. Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr 2002;5:969-976 PubMed doi:10.1079/PHN2002380.
18. 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. PubMed doi:10.1093/aje/kwg091. (Pubitemid 36745326)
19. Willett WC, Hu FB. Not the time to abandon the food frequency questionnaire: point. Cancer Epidemiol Biomarkers Prev 2006;15:1757-8. PubMed doi:10.1158/1055-9965.EPI-06-0388. (Pubitemid 44664244)
20. Freedman LS, Schatzkin A, Thiebaut AC, et al. Abandon neither the food frequency questionnaire nor the dietary fat-breast cancer hypothesis. Cancer Epidemiol Biomarkers Prev 2007;16:1321-2. PubMed doi:10.1158/1055-9965.EPI-07- 0179. (Pubitemid 46984982)
21. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008;40:181-188 PubMed.
22. Hagströmer M, Oja P, Sjostrom M. Physical activity and inactivity in an adult population assessed by accelerometry. Med Sci Sports Exerc 2007;39:1502-1508 PubMed doi:10.1249/mss.0b013e3180a76de5. (Pubitemid 47360972)
23. Thompson F, Subar A. Dietary assessment methodology. In: Coulston Am, Boushey CJ, editors. Nutrition in the prevention and treatment of disease. Burlington (MA): Elsevier Academic Press; 2008. p. 3-39.
24. Raper N, Perloff B, Ingwersen L, Steinfeldt L, Anand J. An overview of USDA's dietary intake system. J Food Compost Anal 2004;17:545-555 doi:10.1016/j.jfca.2004.02.013. (Pubitemid 38801450)
25. Bingham SA, Luben R, Welch A, Wareham N, Khaw KT, Day N. Are imprecise methods obscuring a relation between fat and breast cancer? Lancet 2003;362:212-4. PubMed doi:10.1016/S0140-6736(03)13913-X.
26. 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 PubMed doi:10.1093/ije/dyl085. (Pubitemid 44540756)
27. Rebro SM, Patterson RE, Kristal AR, Cheney CK. The effect of keeping food records on eating patterns. J Am Diet Assoc 1998;98: 1163-5. PubMed doi:10.1016/S0002-8223(98)00269-277 (Pubitemid 28475875)
28. Schatzkin A, Kipnis V, Carroll RJ, et al. A comparison of a food frequency questionnaire witha 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based OPEN study. Int J Epidemiol 2003;32:1054-1062 PubMed doi:10.1093/ije/dyg264.
29. Internetworldstats.com. Copyright. Miniwatts Marketing Group; 2008. Available from: http://internetworldstats.com/.
30. Nielsen Online. The Nielsen Company; July 2008. Available from: http://www.nielsen-online.com/.
31. Golvin CS, Schadler T. The state of consumers and technology: benchmark 2008. Cambridge (MA): Forrester Research, Inc.; 2008.
32. National Cancer Institute. Automated Self-administered 24-hour Dietary Recall (ASA24). Bethesda (MD): National Cancer Institute; 2009. Available from: http://riskfactor.cancer.gov/tools/instruments/asa24.html.
33. USDA Food and Nutrient Database for Dietary Studies, 1.0. Beltsville (MD): Agricultural ResearchService, Food Surveys Research Group; 2004.
34. Pereira MA, FitzerGerald SJ, Gregg EW, et al. A collection of Physical Activity Questionnaires for health-related research. Med Sci Sports Exerc 1997;29:S1-205. PubMed.
35. Fuller Z, Horgan G, O'Reilly LM, et al. Comparing different measures of energy expenditure in human subjects resident in a metabolic facility. Eur J Clin Nutr 2008;62:560-569 PubMed doi:10.1038/sj.ejcn.1602739.
36. Conway JM, Seale JL, Jacobs DR Jr, Irwin ML, Ainsworth BE. Comparison of energy expenditure estimates from doubly labeled water, a physical activity questionnaire, and physical activity records. Am J Clin Nutr 2002;75:519-525 PubMed. (Pubitemid 34174946)
37. Adams SA, Matthews CE, Ebbeling CB, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol 2005;161:389-398 (Pubitemid 40256210)
38. Matthews CE, Freedson PS, Hebert JR, et al. Comparing physical activity assessment methods in the seasonal variation of blood cholesterol study. Med Sci Sports Exerc 2000;32:976-84. PubMed doi:10.1097/00005768-200005000-200100015 (Pubitemid 30230680)
39. Schatzkin A, Subar AF, Thompson F, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-AARP Diet and Health Study. Am J Epidemiol 2001;154:1119-1125 PubMed doi:10.1093/aje/154.12.1119. (Pubitemid 33140635)
40. Hunter DJ, Spiegelman D, Adami HO, et al. Cohort studies of fat intake and the risk of breast cancer-a pooled analysis. N Engl J Med 1996;334:356-361 PubMed doi:10.1056/NEJM199602083340603. (Pubitemid 26049588)
41. Thiébaut ACM, Kipnis V, Ch ang S-C, 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 PubMed doi:10.1093/jnci/djk094. (Pubitemid 47073568)
42. Slattery ML. Defining dietary consumption: is the sum greater than its parts? Am J Clin Nutr 2008;88:14-15 PubMed.
43. Kipnis V, Midthune D, Buckman DW, et al. Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics. In press 2009.
44. National Cancer Institute. Diet History Questionnaire. Bethesda (MD): National Cancer Institute; 2009. Available from: http://riskfactor.cancer.gov/ DHQ/.