Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?

Epidemiologic Perspectives and Innovations

Volumn 7, Issue 1, 2010, Pages

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

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

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETA CRYPTOXANTHIN; BIOLOGICAL MARKER; XANTHOPHYLL;

ARTICLE; COHORT ANALYSIS; COMPUTER SIMULATION; DIETARY INTAKE; FOOD FREQUENCY QUESTIONNAIRE; MEASUREMENT ERROR; NUTRITION; RETINA MACULA AGE RELATED DEGENERATION; RISK; SAMPLE SIZE; SELF REPORT; STATISTICAL ANALYSIS; STOMACH CANCER; VITAMIN BLOOD LEVEL;

EID: 77649327303     PISSN: None     EISSN: 17425573     Source Type: Journal    
DOI: 10.1186/1742-5573-7-2     Document Type: Article

References (38)

1. The problem of profound mismeasurement and the power of epidemiologic studies of diet and cancer. JL Freudenheim JR Marshall, Nutr Cancer 1988 11 243 250 10.1080/01635588809513994 3217262
2. Correlated measurement error: implications for nutritional epidemiology. NE Day MY Wong S Bingham KT Khaw R Luben KB Michels A Welch NJ Wareham, Int J Epidemiol 2004 33 1373 1381 10.1093/ije/dyh138 15333617
3. Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. R Kaaks P Ferrari A Ciampi M Plummer E Riboli, Public Health Nutr 2002 5 969 976 10.1079/PHN2002380 12638598
4. Measurement error of energy expenditure in free-living humans by using doubly labeled water. DA Schoeller, J Nutr 1988 118 1278 1289 3142975
5. Urine nitrogen as an independent validatory measure of dietary intake: a study of nitrogen balance in individuals consuming their normal diet. SA Bingham JH Cummings, Am J Clin Nutr 1985 42 1276 1289 4072961
6. Biologic and Methodologic Issues for Nutritional Biomarkers. N Potischman, J Nutr 2003 133 875S 880S 12612173
7. Reproducibility and validity of food-frequency questionnaires. W Willett E Lenart, Nutritional Epidemiology New York, NY: Oxford University Press, Publishers, Willett W, 2 1998
8. Estimating the accuracy of dietary questionnaire assessments: validation in terms of structural equation models. R Kaaks E Riboli J Esteve A Van Kappel W Van Staveren, Statist Med 1994 13 127 142 10.1002/sim.4780130204
9. Correlated errors in biased surrogates: study designs and methods for measurement error correction. D Spiegelman B Zhao J Kim, Statist Med 2005 24 1657 1682 10.1002/sim.2055
10. Correlation between estimated and true dietary intakes: using two instrumental variables. GE Fraser TL Butler DJ Shavlik, Ann Epidemiol 2005 15 509 518 10.1016/j.annepidem.2004.12.012 16029843
11. Measurement error correction for nutritional exposures with correlated measurement error: Use of the method of triads in a longitudinal setting. B Rosner KB Michels YH Chen NE Day, Statist Med 2008 27 3466 3489 10.1002/sim.3238
12. Serum lipid precursors of coronary heart disease. WB Kannel MJ Garcia PM McNamara G Pearson, Hum Pathol 1971 2 129 151 10.1016/S0046-8177(71)80023-0 5095238
13. A controlled clinical trial of a diet high in unsaturated fat for preventing complications of atherosclerosis. S Dayton ML Pearce S Hashimoto, Circulation 1969 Suppl 2 1 63
14. Lowering cholesterol concentrations and mortality: A quantitative review of primary prevention trials. MF Muldoon SB Manuck KA Matthew, Br Med J 1990 301 309 314 10.1136/bmj.301.6747.309
15. Meat-related mutagens/carcinogens in the etiology of colorectal cancer. AJ Cross R Sinha, Environ Mol Mutagen 2004 44 44 55 10.1002/em.20030 15199546
16. Red meat enhances the colonic formation of the DNA adduct O6-carboxymethyl guanine: implications for colorectal cancer risk. MH Lewin N Bailey T Bandaletova R Bowman AJ Cross J Pollock DE Shuker SA Bingham, Cancer Res 2006 66 1859 1865 10.1158/0008-5472.CAN-05-2237 16452248
17. Excretion of 3-methylhistidine in urine as an estimate of meat consumption. EA Jacobson HL Newmark GE McKeown-Eyssen WR Bruce, Nutr Rep Int 1983 27 689 697
18. One-year study on the variation of carotenoid antioxidant substances in living human skin: influence of dietary supplementation and stress factors. ME Darvin A Patzelt F Knorr U Blume-Peytavi W Sterry J Lademann, J Biomed Opt 2008 13 044028 10.1117/1.2952076 19021355
19. RJ Carroll D Ruppert LA Stefanski CM Crainiceanu, Measurement Error in Nonlinear Models: A Modern Perspective Boca Raton, FL: Chapman and Hall/CRC Press 2 2006
20. The use of polytomous dual response data to increase power in case-control studies: an application to the association between dietary fat and breast cancer. GR Howe, J Chron Dis 1985 38 663 670 10.1016/0021-9681(85)90020-7 4019703
21. IT Jolliffe, Principal Components Analysis New York, NY: Springer, Publishers 2 2002
22. Biologic mechanisms of the protective role of lutein and zeaxanthin in the eye. NI Krinksy JT Landrum RZ Bone, Ann Rev Nutr 2003 23 171 201 10.1146/annurev.nutr.23.011702.073307
23. Lutein and age-related ocular disorders in the older adult: a review. LM Renzi EJ Johnson, J Nutr Elder 2007 26 130 157
24. The structure of dietary measurement error: results of the OPEN biomarker study. V Kipnis AF Subar D Midthune LS Freedman R Ballard-Barbash RP Troiano S Bingham DA Schoeller A Schatzkin RJ Carroll, Am J Epidemiol 2003 158 14 21 10.1093/aje/kwg091 12835281
25. Formative research of a quick list for an Automated Self-Administered 24-hour dietary recall. AF Subar FE Thompson N Potischman BH Forsyth R Buday D Richards S McNutt SG Hull PM Guenther A Schatzkin T Baranowski, J Am Diet Assoc 2007 107 1002 1007 10.1016/j.jada.2007.03.007 17524721
26. Bioavailability of lutein from vegetables is five times higher than that of beta-carotene. KH Van het Hoff IA Brouwer CE West E Haddeman RP Steegers-Theunissen M van Dusseldorp JA Weststrate TK Eskes JG Hautvast, Am J Clin Nutr 1999 70 261 268 10426704
27. Plasma concentrations of carotenoids in healthy volunteers after intervention with carotenoid-rich foods. H Muller A Bub B Watzl G Rechkemmer, Europ J Nutr 1999 38 35 44 10.1007/s003940050044
28. Six carotenoids in plasma used to assess recommended intake of fruits and vegetables in a controlled feeding study. A Brevik LF Andersen A Karlsen KU Trygg R Blomhoff CA Drevon, Eur J Clin Nutr 2004 58 1166 1173 10.1038/sj.ejcn.1601945 15054430
29. Variability of serum carotenoids in response to controlled diets containing six servings of fruits and vegetables per day. PE Bowen V Garg M Stacewicz-Sapuntzakis L Yelton RS Schreiner, Ann NY Acad Sci 1993 691 241 243 10.1111/j.1749-6632.1993.tb26182.x 8129301
30. Carotenoid and tocopherol estimates from the NCI Diet History Questionnaire are valid compared with multiple recalls and serum biomarkers. LB Dixon AF Subar W Wideroff FE Thompson LL Kalhle N Potischman, J Nutr 2006 136 3054 3061 17116719
31. Predictors of optical density of lutein and zeaxanthin in retinas of older women in the Carotenoids in Age-Related Eye Disease Study, an ancillary study of the Women's Health Initiative. JA Mares TL LaRowe DM Snodderly SM Moeller MJ Gruber ML Klein BR Wooten EJ Johnson RJ Chappell CAREDS Macular Pigment Study Group and Investigators, Am J Clin Nutr 2006 84 1107 1122 17093164
32. Correlates of serum lutein + zeaxanthin: findings from the third National Health and Nutrition Examination Survey. M Gruber R Chappell A Millen T LaRowe SM Moeller A Iannaccone SB Kritchevsky J Mares, J Nutr 2004 134 2387 2394 15333733
33. Plasma lutein and zeaxanthin and other carotenoids as modifiable risk factors for age-related maculopathy and cataract: the POLA Study. C Delcourt I Carriere M Delage P Barberger-Gateau W Schalch the POLA Study Group, Invest Opthalmol Vis Sci 2006 47 2329 2335 10.1167/iovs.05-1235
34. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. AF Subar V Kipnis RP Troiano D Midthune DA Schoeller S Bingham CO Sharbaugh J Trabulsi S Runswick R Ballard-Barbash J Sunshine A Schatzkin, Am J Epidemiol 2003 158 1 13 10.1093/aje/kwg092 12835280
35. Beta-cryptoxanthin and lung cancerin Shanghai, China, - an examination of potential confounding with cigarette smoking using urinary cotinine as a biomarker for true tobacco exposure. DO Stram JM Yuan KK Chan YT Gao RK Ross MC Yu, Nutr Cancer 2007 57 123 129 17571944
36. US Surgeon General and Centers for Disease Control and Prevention, The health consequences of smoking: a report of the Surgeon General. [Atlanta, Ga.] Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; Washington, D.C 2004
37. Plasma and dietary carotenoids, and the risk of prostate cancer: a nested case-control study. K Wu JW Erdman SJ Schwartz EA Platz M Leitzmann SK Clinton V DeGroff WC Willett E Giovannucci, Cancer Epidemiol Biomarker Prev 2004 13 260 269 10.1158/1055-9965.EPI-03-0012
38. Manganese superoxide dismutase (MnSOD) gene polymorphism, interactions with carotenoid levels, and prostate cancer risk. B Mikhak DJ Hunter D Spiegelman EA Platz K Wu JW Erdman Jr E Giovannucci, Carcinogenesis 2008 29 2335 2340 10.1093/carcin/bgn212 18784358