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Am J Epidemiol 2003; 158:14-21.
Copyright © 2003 by Johns Hopkins Bloomberg School of Public Health


PRACTICE OF EPIDEMIOLOGY

Structure of Dietary Measurement Error: Results of the OPEN Biomarker Study

Victor Kipnis1 , Amy F. Subar2, Douglas Midthune1, Laurence S. Freedman3,4, Rachel Ballard-Barbash2, Richard P. Troiano2, Sheila Bingham5, Dale A. Schoeller6, Arthur Schatzkin7 and Raymond J. Carroll8

1 Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD.
2 Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
3 Department of Mathematics, Statistics and Computer Science, Bar Ilan University, Ramat Gan, Israel.
4 Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel.
5 Medical Research Council, Dunn Human Nutrition Unit, Cambridge, United Kingdom.
6 Department of Nutritional Sciences, University of Wisconsin, Madison, WI.
7 Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
8 Department of Statistics, Texas A&M University, College Station, TX.

Multiple-day food records or 24-hour dietary recalls (24HRs) are commonly used as "reference" instruments to calibrate food frequency questionnaires (FFQs) and to adjust findings from nutritional epidemiologic studies for measurement error. Correct adjustment requires that the errors in the adopted reference instrument be independent of those in the FFQ and of true intake. The authors report data from the Observing Protein and Energy Nutrition (OPEN) Study, conducted from September 1999 to March 2000, in which valid reference biomarkers for energy (doubly labeled water) and protein (urinary nitrogen), together with a FFQ and 24HR, were observed in 484 healthy volunteers from Montgomery County, Maryland. Accounting for the reference biomarkers, the data suggest that the FFQ leads to severe attenuation in estimated disease relative risks for absolute protein or energy intake (a true relative risk of 2 would appear as 1.1 or smaller). For protein adjusted for energy intake by using either nutrient density or nutrient residuals, the attenuation is less severe (a relative risk of 2 would appear as approximately 1.3), lending weight to the use of energy adjustment. Using the 24HR as a reference instrument can seriously underestimate true attenuation (up to 60% for energy-adjusted protein). Results suggest that the interpretation of findings from FFQ-based epidemiologic studies of diet-disease associations needs to be reevaluated.

bias (epidemiology); biological markers; diet; energy intake; epidemiologic methods; nutrition assessment; questionnaires; reference values

Abbreviations: Abbreviations: DLW, doubly labeled water; FFQ, food frequency questionnaire; OPEN, Observing Protein and Energy Nutrition; 24HR, 24-hour dietary recall.


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Related articles in Am. J. Epidemiol.:

Using Intake Biomarkers to Evaluate the Extent of Dietary Misreporting in a Large Sample of Adults: The OPEN Study
Amy F. Subar, Victor Kipnis, Richard P. Troiano, Douglas Midthune, Dale A. Schoeller, Sheila Bingham, Carolyn O. Sharbaugh, Jillian Trabulsi, Shirley Runswick, Rachel Ballard-Barbash, Joel Sunshine, and Arthur Schatzkin
Am. J. Epidemiol. 2003 158: 1-13. [Abstract] [FREE Full Text]  

Invited Commentary: OPEN Questions
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Am. J. Epidemiol. 2003 158: 22-24. [Extract] [FREE Full Text]  

Kipnis et al. Respond to "OPEN Questions"
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Am. J. Epidemiol., February 1, 2006; 163(3): 279 - 288.
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Am J EpidemiolHome page
U. Lim, M. Schenk, L. E. Kelemen, S. Davis, W. Cozen, P. Hartge, M. H. Ward, and R. Stolzenberg-Solomon
Dietary Determinants of One-Carbon Metabolism and the Risk of Non-Hodgkin's Lymphoma: NCI-SEER Case-Control Study, 1998-2000
Am. J. Epidemiol., November 15, 2005; 162(10): 953 - 964.
[Abstract] [Full Text] [PDF]


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Am J EpidemiolHome page
D. R. Paul, D. G. Rhodes, M. Kramer, D. J. Baer, and W. V. Rumpler
Validation of a Food Frequency Questionnaire by Direct Measurement of Habitual ad Libitum Food Intake
Am. J. Epidemiol., October 15, 2005; 162(8): 806 - 814.
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JNCI J Natl Cancer InstHome page
U. Nothlings, L. R. Wilkens, S. P. Murphy, J. H. Hankin, B. E. Henderson, and L. N. Kolonel
Meat and Fat Intake as Risk Factors for Pancreatic Cancer: The Multiethnic Cohort Study
J Natl Cancer Inst, October 5, 2005; 97(19): 1458 - 1465.
[Abstract] [Full Text] [PDF]


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Am. J. Clin. Nutr.Home page
M. Visser, S. B Kritchevsky, A. B Newman, B. H Goodpaster, F. A Tylavsky, M. C Nevitt, T. B Harris, and for the Health, Aging and Body Composition Study
Lower serum albumin concentration and change in muscle mass: the Health, Aging and Body Composition Study
Am. J. Clinical Nutrition, September 1, 2005; 82(3): 531 - 537.
[Abstract] [Full Text] [PDF]


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Stat Methods Med ResHome page
E. Goetghebeur and S. Vansteelandt
Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure
Statistical Methods in Medical Research, August 1, 2005; 14(4): 397 - 415.
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Cancer Epidemiol. Biomarkers Prev.Home page
M. C. Stern, K. D. Siegmund, R. Corral, and R. W. Haile
XRCC1 and XRCC3 Polymorphisms and Their Role as Effect Modifiers of Unsaturated Fatty Acids and Antioxidant Intake on Colorectal Adenomas Risk
Cancer Epidemiol. Biomarkers Prev., March 1, 2005; 14(3): 609 - 615.
[Abstract] [Full Text] [PDF]


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J. Nutr.Home page
I. Shai, B. A. Rosner, D. R. Shahar, H. Vardi, A. B. Azrad, A. Kanfi, D. Schwarzfuchs, and D. Fraser
Dietary Evaluation and Attenuation of Relative Risk: Multiple Comparisons between Blood and Urinary Biomarkers, Food Frequency, and 24-Hour Recall Questionnaires: the DEARR Study
J. Nutr., March 1, 2005; 135(3): 573 - 579.
[Abstract] [Full Text] [PDF]


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JAMAHome page
A. Chao, M. J. Thun, C. J. Connell, M. L. McCullough, E. J. Jacobs, W. D. Flanders, C. Rodriguez, R. Sinha, and E. E. Calle
Meat Consumption and Risk of Colorectal Cancer
JAMA, January 12, 2005; 293(2): 172 - 182.
[Abstract] [Full Text] [PDF]


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Int J EpidemiolHome page
N. Day, M. Wong, S Bingham, K. Khaw, R Luben, K. Michels, A Welch, and N. Wareham
Correlated measurement error--implications for nutritional epidemiology
Int. J. Epidemiol., December 1, 2004; 33(6): 1373 - 1381.
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Int J EpidemiolHome page
R. W Jakes, N. E Day, R. Luben, A. Welch, S. Bingham, J. Mitchell, S. Hennings, K. Rennie, and N. J Wareham
Adjusting for energy intake--what measure to use in nutritional epidemiological studies?
Int. J. Epidemiol., December 1, 2004; 33(6): 1382 - 1386.
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Int J EpidemiolHome page
D. Spiegelman
Commentary: Correlated errors and energy adjustment--where are the data?
Int. J. Epidemiol., December 1, 2004; 33(6): 1387 - 1388.
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Am J EpidemiolHome page
J. Lin, S. M. Zhang, N. R. Cook, I-M. Lee, and J. E. Buring
Dietary Fat and Fatty Acids and Risk of Colorectal Cancer in Women
Am. J. Epidemiol., November 15, 2004; 160(10): 1011 - 1022.
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JNCI J Natl Cancer InstHome page
A. Schatzkin and V. Kipnis
Could Exposure Assessment Problems Give Us Wrong Answers to Nutrition and Cancer Questions?
J Natl Cancer Inst, November 3, 2004; 96(21): 1564 - 1565.
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Am J EpidemiolHome page
P. Ferrari, R. Kaaks, M. T. Fahey, N. Slimani, N. E. Day, G. Pera, H. C. Boshuizen, A. Roddam, H. Boeing, G. Nagel, et al.
Within- and Between-Cohort Variation in Measured Macronutrient Intakes, Taking Account of Measurement Errors, in the European Prospective Investigation into Cancer and Nutrition Study
Am. J. Epidemiol., October 15, 2004; 160(8): 814 - 822.
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JNCI J Natl Cancer InstHome page
R. L. Prentice, W. C. Willett, P. Greenwald, D. Alberts, L. Bernstein, N. F. Boyd, T. Byers, S. K. Clinton, G. Fraser, L. Freedman, et al.
Nutrition and Physical Activity and Chronic Disease Prevention: Research Strategies and Recommendations
J Natl Cancer Inst, September 1, 2004; 96(17): 1276 - 1287.
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J. Nutr.Home page
L. S. Freedman, D. Midthune, R. J. Carroll, S. Krebs-Smith, A. F. Subar, R. P. Troiano, K. Dodd, A. Schatzkin, P. Ferrari, and V. Kipnis
Adjustments to Improve the Estimation of Usual Dietary Intake Distributions in the Population
J. Nutr., July 1, 2004; 134(7): 1836 - 1843.
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Am J EpidemiolHome page
K. Hoffmann, M. B. Schulze, A. Schienkiewitz, U. Nothlings, and H. Boeing
Application of a New Statistical Method to Derive Dietary Patterns in Nutritional Epidemiology
Am. J. Epidemiol., May 15, 2004; 159(10): 935 - 944.
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J. Nutr.Home page
J. P. Pierce, V. A. Newman, S. W. Flatt, S. Faerber, C. L. Rock, L. Natarajan, B. J. Caan, E. B. Gold, K. A. Hollenbach, L. Wasserman, et al.
Telephone Counseling Intervention Increases Intakes of Micronutrient- and Phytochemical-Rich Vegetables, Fruit and Fiber in Breast Cancer Survivors
J. Nutr., February 1, 2004; 134(2): 452 - 458.
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Int J EpidemiolHome page
A. Schatzkin, V. Kipnis, R. J Carroll, D. Midthune, A. F Subar, S. Bingham, D. A Schoeller, R. P Troiano, and L. S Freedman
A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study
Int. J. Epidemiol., December 1, 2003; 32(6): 1054 - 1062.
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Am J EpidemiolHome page
J. Satia-Abouta, J. A. Galanko, J. D. Potter, A. Ammerman, C. F. Martin, and R. S. Sandler
Associations of Total Energy and Macronutrients with Colon Cancer Risk in African Americans and Whites: Results from the North Carolina Colon Cancer Study
Am. J. Epidemiol., November 15, 2003; 158(10): 951 - 962.
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Am J EpidemiolHome page
A. F. Subar, V. Kipnis, R. P. Troiano, D. Midthune, D. A. Schoeller, S. Bingham, C. O. Sharbaugh, J. Trabulsi, S. Runswick, R. Ballard-Barbash, et al.
Using Intake Biomarkers to Evaluate the Extent of Dietary Misreporting in a Large Sample of Adults: The OPEN Study
Am. J. Epidemiol., July 1, 2003; 158(1): 1 - 13.
[Abstract] [Full Text] [PDF]


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Am J EpidemiolHome page
W. Willett
Invited Commentary: OPEN Questions
Am. J. Epidemiol., July 1, 2003; 158(1): 22 - 24.
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Am J EpidemiolHome page
V. Kipnis, A. F. Subar, A. Schatzkin, D. Midthune, R. P. Troiano, D. A. Schoeller, S. Bingham, and L. S. Freedman
Kipnis et al. Respond to "OPEN Questions"
Am. J. Epidemiol., July 1, 2003; 158(1): 25 - 26.
[Full Text] [PDF]



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