Development and testing of a seven-day dietary recall

Journal of Clinical Epidemiology

Volumn 50, Issue 8, 1997, Pages 925-937

  Hebert, James R ^a   Ockene, Ira S ^a   Hurley, Thomas G ^a   Luippold, Rose ^a   Well, Arnold D ^b   Harmatz, Morton G ^b   Rider, Linda ^c   Saperia, Gordon ^d   Mullins, Barbara ^d   Phillips, Judy C C ^e   Fletcher, Kenneth ^a   Ellis, Sarah ^a   Merriam, Philip A ^a   Ockene, Judith K ^a  

^a UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

^c ARIZONA DEPARTMENT OF HEALTH SERVICES   (United States)

^d Fallon Clinic   (United States)

^e DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Cognition; Dietary fats; Nutrition assessment; Nutrition surveys; Recall; Serum cholesterol

Indexed keywords

CHOLESTEROL; LIPID;

ADULT; ARTICLE; CALORIC INTAKE; CHOLESTEROL BLOOD LEVEL; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORRELATION FUNCTION; DATA ANALYSIS; DIET THERAPY; DIETARY INTAKE; FAT INTAKE; FEMALE; HUMAN; HUMAN EXPERIMENT; LIPID BLOOD LEVEL; MAJOR CLINICAL STUDY; MALE; META ANALYSIS; METHODOLOGY; NORMAL HUMAN; NUTRITION; PRIORITY JOURNAL; REGRESSION ANALYSIS; TELEPHONE;

ADULT; DIETARY FATS; ENERGY INTAKE; FEMALE; HUMANS; HYPERLIPIDEMIAS; MALE; MASSACHUSETTS; MENTAL RECALL; MIDDLE AGED; NUTRITION ASSESSMENT; NUTRITION SURVEYS; REGRESSION ANALYSIS;

EID: 0030845816     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(97)00098-X     Document Type: Article

References (52)

1. Hebert JR, Miller DR. Methodologic considerations for investigating the diet-cancer link. Am J Clin Nutr 1988; 47: 1068-1077.
2. Hebert JR, Miller DR. The inappropriateness of conventional use of the correlation coefficient in assessing validity and reliability of dietary assessment methods. Eur J Epidemiol 1991; 7: 339-343.
3. El Lozy M. Dietary variability and its impact on nutritional epidemiology. J Chronic Dis 1983; 36: 237-249.
4. Nelson M, Black AE, Morris JA, Cole TJ. Between-and within-subject variation in nutrient intake from infancy to old age: Estimating the number of days required to rank intakes with desired precision. Am J Clin Nutr 1989; 50: 155-167.
5. Jacobs DJ, Anderson J, Blackburn H. Diet and serum cholesterol: Do zero correlations negate the relationship? Am J Epidemiol 1979; 110(1): 77-87.
6. Hebert JR, Backlund JYC, Engle A, Barone J, Biener K. Intra-and inter-person sources of variability in fat intake in a feeding trial of 14 men. Eur J Epidemiol 1990; 6: 55-60.
7. Block G, Hartman AM. Issues in reproducibility and validity of dietary studies. Am J Clin Nutr 1989; 50: 1133-1138.
8. Tarasuk V, Beaton GH. The nature and individuality of within-subject variation in energy intake. Am J Clin Nutr 1991; 54: 464-470.
9. de Backer G. Methodological considerations on intra-versus interpopulation correlation studies. Ann Nutr Metabol 1991; 35: 84-88.
10. Beaton GH, Milner J, Corey P, et al. Source of variance in 24-hour dietary recall data: Implications for nutrition study design and interpretation. Am J Clin Nutr 1979; 32: 2546-2559.
11. Willett W, Sampson L, Stampfer M, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 1985; 122: 51-65.
12. Hebert JR, Harris DR, Sorensen G, Stoddard AM, Hunt MK, Morris DH. A worksite nutrition intervention: Its effects on the consumption of cancer-related nutrients. Am J Public Health 1993; 83: 391-394.
13. Hebert JR, Hurley TG, Hsieh J, et al. Determinants of plasma vitamins and lipids: The Working Well Study. Am J Epidemiol 1994; 140: 132-147.
14. Kristal A, Shattuck A, Williams A. Food frequency questionnaires for diet intervention research. In: Proceedings of the 17th National Nutrient Databank Conference - Baltimore, MD, June 7-9, 1992. Washington, DC: International Life Sciences Institute; 1994; 110-125.
15. Buzzard IM. Estimating compliance bias and other sources of error in assessing dietary intake in a low fat diet intervention study. In: Proceedings of the Second International Conference on Dietary Assessment Methods. Boston, MA: 1995; 13.
16. Ockene IS, Hebert JR, Ockene JK, et al. Effect of physician delivered nutrition counseling and a structured office practice on diet and serum lipid measurements in a hyperlipidemic population: The Worcester Area Trial For Counseling in Hyperlipidemia (WATCH). Am J Prev Med 1996; 12: 252-258.
17. Keys A, Anderson JT, Grande F. Prediction of serum-cholesterol response of man to changes in fats in the diet. Lancet 1957; 7003: 959-966.
18. Keys A, Anderson JT, Grande F. Serum cholesterol response to changes in the diet-III. Differences among individuals. Metabolism 1965; 14: 766-775.
19. Hegsted DM, McGandy RB, Myers ML, Stare FJ. Quantitative effects of dietary fat on serum cholesterol in man. Am J Clin Nutr 1965; 17: 281-295.
20. National Academy of Sciences. National Academy of Sciences Report on Diet and Health. Nutr Rev 1989; 47: 142-149.
21. Hebert JR, Stoddard AM, Harris DR, et al. Measuring the effect of a worksite-based nutrition intervention on food consumption. Ann Epidemiol 1993; 3: 629-635.
22. Dwyer JT, Krall EA, Coleman KA. The problem of memory in nutritional epidemiology research. J Am Diet Assoc 1987; 87: 1509-1512.
23. Jobe JB, Mingay DJ. Cognitive research improves questionnaires. Am J Public Health 1989; 79: 1053-1055.
24. Dwyer JT, Gardner J, Halvorsen K, Krall EA, Cohen A, Valadian I. Memory of food intake in the distant past. Am J Epidemiol 1989; 130: 1033-1046.
25. Smith AF. Cognitive psychological issues of relevance to the validity of dietary reports. Eur J Clin Nutr 1993; 47(Suppl. 2): S6-S18.
26. Block G, Dresser CM, Hartman AM, Carroll MD. Nutrient sources in the American diet: Quantitative data from the NHANES II survey: II. Macronutrients and fats. Am J Epidemiol 1985; 122: 27-39.
27. Block G, Rosenberger WF, Patterson BH. Calories, fat and cholesterol: Intake patterns in the US population by race, sex and age. Am J Public Health 1988; 78: 1150-1155.
28. Hebert JR, Ockene IS, Botelho L, Luippold R, Merriam P, Saperia G. Development and validation of a seven-day diet recall. In: Proceedings of the American Public Health Association 120th Annual Meeting. Washington, DC; 1992.
29. Hebert JR, Miller DR, Barone J, Engle A. Assessment of change in fat intake in an intervention study. In: Proceedings of the American Public Health Association - 119th Annual Meeting. Atlanta, GA: APHA; 1991.
30. Miller DR, Hebert JR, Barone J, Engle A. Comparison of dietary assessment methods: Advantages of random 24 hour recalls. In: Proceedings of the American Public Health Association - 119th Annual Meeting. Atlanta, GA: APHA; 1991.
31. Posner BM, Martin-Munley SS, Smigelski C, et al. Comparison of techniques for estimating nutrient intake: The Framingham Study. Epidemiol 1992; 3: 171-177.
32. Forster JL, Jeffery RW, VanNatta M, Pirie P. 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.
33. Buzzard IM, Price KS, Warren RA. Considerations for selecting nutrient-calculation software: Evaluation of the nutrient database. Am J Clin Nutr 1991; 54: 7-9.
34. SAS. SAS User's Guide. Cary, NC: SAS Institute; 1996.
35. SAS. SAS User's Guide - Statistic Vers. 6.5. Cary, NC: SAS Institute; 1995.
36. Miettinen OS. Theoretical Epidemiology: Principles of Occurrence Research in Medicine. New York: John Wiley & Sons, Inc.; 1985.
37. Borrelli R, Cole TJ, DiBiase G, Contaldo F. Some statistical considerations on dietary assessment methods. Eur J Clin Nutr 1989; 43: 453-463.
38. Bellach B. Remarks on the use of Pearson's correlation coefficient and other association measures in assessing validity and reliability of dietary assessment methods. Eur J Clin Nutr 1993; 47(Suppl. 2): S42-S45.
39. Borrelli R. Collection of food intake data: A reappraisal of criteria for judging the methods. Br J Nutr 1990; 63: 411-417.
40. Snedecor GW, Cochran WG. Statistical Methods. 8th ed. Ames, IA: Iowa State University Press; 1989.
41. Keys A, Anderson JT, Grande F. Serum cholesterol response to changes in the diet-I. Iodine value of dietary fat versus 2S-P. Metabolism 1965; 14: 7747-7758.
42. Willett W. Nutritional Epidemiology. Oxford: Oxford University Press; 1990.
43. Smith AF. Cognitive Processes in Long-Term Dietary Recall. Washington, DC: U.S. Government Printing Office, 1991. [Series 6, 4. DHHS publication (PHS) 91 1079.]
44. Basiotis PP, Welsh SO, Cronin FJ, Kelsay JL, Mertz W. Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence. J Nutr 1987; 117: 1638-1641.
45. Keys A, Anderson JT, Grande F, Serum cholesterol response to changes in the diet - II. The effect of cholesterol in the diet. Metabolism 1965; 14: 759-775.
46. Freedman LS, Carroll RJ, Wax Y. Estimating the relation between dietary intake obtained from a food frequency questionnaire and true average intake. Am J Epidemiol 1991; 134: 310-320.
47. Schaefer EJ, Lamon-Fava S, Ausman LM, et al. Individual variability in lipoprotein cholesterol response to national cholesterol education program step2 diets. Am J Clin Nutr 1997; 65(3): 823-830.
48. Matthews CE, Hebert JR, Ockene IS, Saperia G, Merriam PA. The inter-relation between leisure time physical activity and selected dietary variables. Medicine and Science in Sports and Exercise 1996. (In press)
49. Dwyer JT. Assessment of dietary intake. In: Shils M, Young V, Eds. Modern Nutrition in Health and Disease. Philadelphia: Lea & Febiger; 1988: 887-905.
50. Sempos CT. Invited commentary: Some limitations of semi-quantitative food frequency questionnaires. Am J Epidemiol 1992; 135: 1127-1132.
51. Sempos CT, Briefel RR, Flegal KM, Johnson CL, Murphy RS, Wotecki CE. Factors involved in selecting a dietary survey methodology for national nutrition surveys. Aust J Nutr Diet 1992; 49: 96-101, 103-104.
52. Bingham SA, Nelson M. Assessment of food consumption and nutrient intake. In: Margetts BM, Nelson M, Eds. Design Concepts in Nutritional Epidemiology. New York: Oxford University Press; 1991: 153-167.