Measurement error of dietary self-report in intervention trials

American Journal of Epidemiology

Volumn 172, Issue 7, 2010, Pages 819-827

  Natarajan, Loki ^a   Pu, Minya ^a   Fan, Juanjuan ^c   Levine, Richard A ^c   Patterson, Ruth E ^a   Thomson, Cynthia A ^b   Rock, Cheryl L ^a   Pierce, John P ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

bias (epidemiology); diet; intervention studies; Markov chain Monte Carlo; measurement error; nutrition assessment; reproducibility of results; validity

Indexed keywords

ALPHA CAROTENE; BETA CAROTENE; BETA CRYPTOXANTHIN; BIOLOGICAL MARKER; CAROTENOID; LYCOPENE; XANTHOPHYLL;

BAYESIAN ANALYSIS; BIOLOGICAL UPTAKE; BIOMARKER; CANCER; CAROTENOID; DATA INTERPRETATION; DIET; EPIDEMIOLOGY; ERROR ANALYSIS; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUTRITION; PARAMETERIZATION; QUESTIONNAIRE SURVEY; WOMENS HEALTH;

ADULT; AGED; ARTICLE; BAYES THEOREM; BREAST CANCER; CALORIC INTAKE; CANCER PREVENTION; CANCER SURVIVOR; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORRELATION ANALYSIS; COUNSELING; DIET; DIET SUPPLEMENTATION; DIETARY INTAKE; FOLLOW UP; FOOD FREQUENCY QUESTIONNAIRE; FOOD INTAKE; FRUIT; HUMAN; INTERVENTION STUDY; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MEASUREMENT ERROR; MONTE CARLO METHOD; NUTRITIONAL ASSESSMENT; PROBABILITY; RANDOMIZED CONTROLLED TRIAL; SELF REPORT; STATISTICAL ANALYSIS; SYSTEMATIC ERROR; TRAINING; VEGETABLE; VITAMIN INTAKE; BREAST NEOPLASMS; COMPARATIVE STUDY; FEMALE; MEDICAL RECORD; MIDDLE AGED; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL (TOPIC); REPRODUCIBILITY; RETROSPECTIVE STUDY; STATISTICAL MODEL;

ADULT; AGED; BREAST NEOPLASMS; CAROTENOIDS; DIET RECORDS; FEMALE; HUMANS; MIDDLE AGED; MODELS, STATISTICAL; NUTRITION ASSESSMENT; QUESTIONNAIRES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES;

EID: 77957310722     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq216     Document Type: Article

References (29)

1. Carroll RJ, Ruppert D, Stefanski LA. Measurement error in nonlinear models. In: Monographs on Statistics and Applied Probability # 63. Boca Raton, FL: Chapman & Hall/CRC; 1995.
2. 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.
3. 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.
4. Freedman LS, Midthune D, Carroll RJ, et al. Adjustments to improve the estimation of usual dietary intake distributions in the population. J Nutr. 2004;134(7):1836-1843.
5. Natarajan L, Flatt SW, Sun X, et al. Validity and systematic error in measuring carotenoid consumption with dietary self-report instruments. Am J Epidemiol. 2006;163(8):770-778.
6. Espeland MA, Kumanyika S, Wilson AC, et al. Lifestyle interventions influence relative errors in self-reported diet intake of sodium and potassium. Ann Epidemiol. 2001;11(2):85-93.
7. Forster JL, Jeffery RW, VanNatta M, et al. Hypertension prevention trial: do 24-h food records capture usual eating behavior in a dietary change study? Am J Clin Nutr. 1990;51(2): 253-257.
8. 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(10): 1247-1259.
9. Kaaks RJ. Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues. Am J Clin Nutr. 1997;65(4 suppl): 1232S-1239S.
10. 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.
11. Daurès JP, Gerber M, Scali J, et al. Validation of a food-frequency questionnaire using multiple-day records and biochemical markers: application of the triads method. J Epidemiol Biostat. 2000;5(2):109-115.
12. Kabagambe EK, Baylin A, Allan DA, et al. Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long-term dietary intake. Am J Epidemiol. 2001;154(12):1126-1135.
13. McNaughton SA, Marks GC, Gaffney P, et al. Validation of a food-frequency questionnaire assessment of carotenoid and vitamin E intake using weighed food records and plasma biomarkers: the method of triads model. Eur J Clin Nutr. 2005;59(2):211-218.
14. Prentice RL, Shaw PA, Bingham SA, et al. Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women. Am J Epidemiol. 2009;169(8):977-989.
15. Pierce JP, Natarajan L, Caan BJ, et al. Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer: the Women's Healthy Eating and Living (WHEL) randomized trial. JAMA. 2007; 298(3):289-298.
16. Pierce JP, Faerber S, Wright FA, et al. A randomized trial of the effect of a plant-based dietary pattern on additional breast cancer events and survival: the Women's Healthy Eating and Living (WHEL) Study. Control Clin Trials. 2002;23(6): 728-756.
17. Rock CL. Carotenoids: biology and treatment. Pharmacol Ther. 1997;75(3):185-197.
18. Kaaks R, Riboli E, Estève J. Estimating the accuracy of dietary questionnaire assessments: validation in terms of structural equation models. Stat Med. 1994;13(2):127-142.
19. Gamboa-Pinto AJ, Rock CL, Ferruzzi MG, et al. Cervical tissue and plasma concentrations of a-carotene and b-carotene in women are correlated. J Nutr. 1998;128(11):1933-1936.
20. Food and nutrient database. Nutrition Data System for Research (NDS-R) software 31, version 4.03. Minneapolis, MN: Nutrition Coordinating Center, University of Minnesota 2000.
21. US Department of Agriculture. Continuous Survey of Food Intakes by Individuals (CSFII), 1994-1996, 1998. Beltsville, MD: Beltsville Human Nutrition Research Center; 2000.
22. Richardson S, Gilks WR. Conditional independence models for epidemiological studies with covariate measurement error. Stat Med. 1993;12(18):1703-1722.
23. Gustafson P, Le Nhu D. Comparing the effects of continuous and discrete covariate mismeasurement, with emphasis on the dichotomization of mismeasured predictors. Biometrics. 2002;58(4):878-887
24. WinBUGS software, version 1.4. Cambridge, United Kingdom: MRC Biostatistics Unit, Institute of Public Health, University Forvie, 2004. (http://www.winbugs-developmen-t.org.uk/). (Accessed March 26, 2010).
25. Diggle PJ, Liang KY, Zeger SL. Analysis of Longitudinal Data. New York, NY: Oxford Science Publications; 1996.
26. Thomson CA, Giuliano A, Rock CL, et al. Measuring dietary change in a diet intervention trial: comparing food frequency questionnaire and dietary recalls. Am J Epidemiol. 2003; 157(8):754-762.
27. Pierce JP, Newman VA, Flatt SW, et al. Telephone counseling intervention increases intakes of micronutrient-and phytochemical-rich vegetables, fruit and fiber in breast cancer survivors. J Nutr. 2004;134(2):452-458.
28. Pierce JP, Newman VA, Natarajan L, et al. Telephone counseling helps maintain long-term adherence to a high-vegetable dietary pattern. J Nutr. 2007;137(10):2291-2296.
29. Pierce JP, Natarajan L, Sun S, et al. Increases in plasma ca-rotenoid concentrations in response to a major dietary change in the Women's Healthy Eating and Living Study. Cancer Epidemiol Biomarkers Prev. 2006;15(10):1886- 1892.