Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers

American Journal of Epidemiology

Volumn 174, Issue 5, 2011, Pages 591-603

  Prentice, Ross L ^a   Mossavar Rahmani, Yasmin ^b   Huang, Ying ^a   Van Horn, Linda ^c   Beresford, Shirley A A ^a   Caan, Bette ^d   Tinker, Lesley ^a   Schoeller, Dale ^e   Bingham, Sheila ^f   Eaton, Charles B ^g   Thomson, Cynthia ^h   Johnson, Karen C ⁱ   Ockene, Judy ^j   Sarto, Gloria ^k   Heiss, Gerardo ^l   Neuhouser, Marian L ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d DIVISION OF RESEARCH   (United States)

^e UNIVERSITY OF WISCONSIN MADISON   (United States)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g BROWN UNIVERSITY   (United States)

^h UNIVERSITY OF ARIZONA   (United States)

ⁱ UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

^j UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^k UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^l UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

more..

Author keywords

bias (epidemiology); biological markers; diet; energy intake; epidemiologic methods; measurement error; nutrition assessment

Indexed keywords

BIOLOGICAL MARKER; NITROGEN; PROTEIN;

AGE; ASSESSMENT METHOD; BIOMARKER; CALIBRATION; COHORT ANALYSIS; DIET; ENERGY EFFICIENCY; EPIDEMIOLOGY; ETHNICITY; FOOD; FREQUENCY ANALYSIS; MEASUREMENT METHOD; NUTRITION; PROTEIN; QUESTIONNAIRE SURVEY; RESEARCH WORK; WOMENS HEALTH;

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; BODY MASS; BODY WATER; CALIBRATION; DENSITY; ENERGY CONSUMPTION; ENERGY EXPENDITURE; ETHNICITY; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; HUMAN; MAJOR CLINICAL STUDY; NITROGEN URINE LEVEL; NUTRITIONAL ASSESSMENT; OBSERVATIONAL STUDY; PHYSICAL ACTIVITY; POSTMENOPAUSE; PROSPECTIVE STUDY; PROTEIN INTAKE; RECORDING;

AGED; BIOLOGICAL MARKERS; BODY MASS INDEX; DEUTERIUM; DIET RECORDS; DIETARY PROTEINS; ENERGY INTAKE; ENERGY METABOLISM; FEMALE; HUMANS; MENTAL RECALL; MIDDLE AGED; OXYGEN ISOTOPES; QUESTIONNAIRES; URINALYSIS;

EID: 80052193562     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr140     Document Type: Article

References (26)

1. Diet, Nutrition, and the Prevention of Chronic Diseases: Report of a Joint WHO/FAO Expert Consultation. Geneva, Switzerland: World Health Organization; 2003: 88. (WHO technical report 916).
2. World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, and the Prevention of Cancer: A Global Perspective.Washington, DC: American Institute for Cancer Research; 1997:371.
3. Schatzkin A, Subar AF, Moore S, et al. Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation). Cancer Epidemiol Biomarkers Prev. 2009;18(4):1026-1032.
4. Bingham SA, Luben R,Welch A, et al. Are imprecise methods obscuring a relation between fat and breast cancer? Lancet. 2003;362(9379):212-214. (Pubitemid 36859940)
5. 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(4):1011-1021. (Pubitemid 44540756)
6. Dahm CC, Keogh RH, Spencer EA, et al. Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries. J Natl Cancer Inst. 2010;102(9):614-626.
7. Kaaks RJ. Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues. Am J Clin Nutr. 1997;65(suppl 4): S1232-S1239.
8. Subar AF, Kipnis V, Troiano RP, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN Study. Am J Epidemiol. 2003;158(1):1-13. (Pubitemid 36745325)
9. Kipnis V, Subar AF, Midthune D, et al. Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003;158(1):14-21. (Pubitemid 36745326)
10. 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(2): 309-317. (Pubitemid 32447833)
11. Willett W. Commentary: dietary diaries versus food frequency questionnaires-a case of undigestible data. Int J Epidemiol. 2001;30(2):317-319. (Pubitemid 32447834)
12. Neuhouser ML, Tinker L, Shaw PA, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in theWomen's Health Initiative. Am J Epidemiol. 2008;167(10): 1247-1259. (Pubitemid 351670635)
13. Prentice RL, Shaw PA, Bingham SA, et al. Biomarkercalibrated energy and protein consumption and increased cancer risk among postmenopausal women. Am J Epidemiol. 2009;169(8):977-989.
14. Prentice RL, Huang Y, Kuller LH, et al. Biomarker-calibrated energy and protein consumption and cardiovascular disease risk among postmenopausal women. Epidemiology. 2011; 22(2):170-179.
15. Prentice RL, Huang Y. Measurement error modeling and nutritional epidemiology association analyses. Can J Stat. In press.
16. Women's Health Initiative Study Group. Design of the Women's Health Initiative Clinical Trial and Observational Study. Control Clin Trials. 1998;19(1):61-109.
17. Langer RD, White E, Lewis CE, et al. The Women's Health Initiative Observational Study: baseline characteristics of participants and reliability of baseline measures. Ann Epidemiol. 2003;13(suppl 9):S107-S121. (Pubitemid 37324180)
18. Kristal AR, Shattuck AL, Williams AE. Food frequency questionnaires for diet intervention research. 17th National Nutrient Databank Conference: Celebrating the First 100 Years of Food Composition Data 1982-1992. Baltimore, MD: International Life Sciences Institute; 1992:110-125.
19. Schoeller DA, Hnilicka JM. Reliability of the doubly labeled water method for the measurement of total daily energy expenditure in free-living subjects. J Nutr. 1996;126(suppl): S348-S354.
20. Schoeller DA. Recent advances from application of doubly labeled water to measurement of human energy expenditure. J Nutr. 1999;129(10):1765-1768. (Pubitemid 29468587)
21. Bingham SA. The use of 24-h urine samples and energy expenditure to validate dietary assessments. Am J Clin Nutr. 1994;59(suppl 1):S227-S231.
22. Bingham SA, Murphy J, Waller E, et al. Para-amino benzoic acid in the assessment of completeness of 24-hour urine collections from hospital outpatients and the effect of impaired renal function. Eur J Clin Nutr. 1992;46(2):131-135.
23. Patterson RE, Kristal AR, Tinker LF, et al. Measurement characteristics of the Women's Health Initiative food frequency questionnaire. Ann Epidemiol. 1999;9(3):178-187. (Pubitemid 29144458)
24. Schakel SF, Buzzard IM, Gebhardt SE. Procedures for estimating nutrient values for food composition databases. J Food Compost Anal. 1997;10(2):102-114. (Pubitemid 127341241)
25. Prentice RL, Sugar E, Wang CY, et al. Research strategies and the use of nutrient biomarkers in studies of diet and chronic disease. Public Health Nutr. 2002;5(6A): 977-984. (Pubitemid 36313645)
26. Sugar EA, Wang CY, Prentice RL. Logistic regression with exposure biomarkers and flexible measurement error. Biometrics. 2007;63(1):143-151.