3. Raper, N, Perloff, B, Ingwersen, L et al. (2004) An overview of the USDA's Dietary Intake Data System. J Food Compost Anal 17, 545–555.
4. Johnson, RK (2002) Dietary intake – how do we measure what people are really eating? Obes Res 10, Suppl. 1, S63–S68.
5. Probst, YC & Tapsell, LC (2005) Overview of computerized dietary assessment programs for research and practice in nutrition education. J Nutr Educ Behav 37, 20–26.
6. Basiotis, PP, Welsh, SO, Cronin, FJ et al. (1987) Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence. J Nutr 117, 1638–1641.
7. Mennen, LI, Bertrais, S, Galan, P et al. (2002) The use of computerised 24 h dietary recalls in the French SU.VI.MAX Study: number of recalls required. Eur J Clin Nutr 56, 659–665.
8. Nelson, M, Black, AE, Morris, JA et al. (1989) Between- and within-subject variation in nutrient intake from infancy to old age: estimating the number of days required to rank dietary intakes with desired precision. Am J Clin Nutr 50, 155–167.
9. Ma, Y, Olendzki, BC, Pagoto, SL et al. (2009) Number of 24-hour diet recalls needed to estimate energy intake. Ann Epidemiol 19, 553–559.
10. Cai, H, Shu, XO, Hebert, JR et al. (2004) Variation in nutrient intakes among women in Shanghai, China. Eur J Clin Nutr 58, 1604–1611.
11. Cai, H, Yang, G, Xiang, YB et al. (2005) Sources of variation in nutrient intakes among men in Shanghai, China. Public Health Nutr 8, 1293–1299.
12. Hebert, JR, Gupta, PC, Mehta, H et al. (2000) Sources of variability in dietary intake in two distinct regions of rural India: implications for nutrition study design and interpretation. Eur J Clin Nutr 54, 479–486.
13. Hebert, JR, Hurley, TG, Chiriboga, DE et al. (1998) A comparison of selected nutrient intakes derived from three diet assessment methods used in a low-fat maintenance trial. Public Health Nutr 1, 207–214.
14. McAvay, G & Rodin, J (1988) Interindividual and intraindividual variation in repeated measures of 24-hour dietary recall in the elderly. Appetite 11, 97–110.
15. Nyambose, J, Koski, KG & Tucker, KL (2002) High intra/interindividual variance ratios for energy and nutrient intakes of pregnant women in rural Malawi show that many days are required to estimate usual intake. J Nutr 132, 1313–1318.
16. Persson, V, Winkvist, A, Ninuk, T et al. (2001) Variability in nutrient intakes among pregnant women in Indonesia: implications for the design of epidemiological studies using the 24-h recall method. J Nutr 131, 325–330.
17. Beaton, GH, Milner, J, Corey, P et al. (1979) Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr 32, 2546–2559.
18. Beaton, GH, Milner, J, McGuire, V et al. (1983) Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals. Am J Clin Nutr 37, 986–995.
19. Willett, W (1998) Nutritional Epidemiology, 2nd ed. New York: Oxford University Press Inc.
20. Palaniappan, U, Cue, RI, Payette, H et al. (2003) Implications of day-to-day variability on measurements of usual food and nutrient intakes. J Nutr 133, 232–235.
21. Otten, JJ, Hellwig, JP & Meyers, LD (editors) (2006) Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. Washington, DC: The National Academies Press.
22. Beaton, GH (1994) Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology. Am J Clin Nutr 59, Suppl. 1, S253–S261.
23. Ma, Y, Olendzki, BC, Li, W et al. (2006) Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population. Eur J Clin Nutr 60, 519–528.
24. Slimani, N, Ferrari, P, Ocke, M et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900–917.
25. Blanton, CA, Moshfegh, AJ, Baer, DJ et al. (2006) The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. J Nutr 136, 2594–2599.
26. Conway, JM, Ingwersen, LA & Moshfegh, AJ (2004) Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc 104, 595–603.
27. Conway, JM, Ingwersen, LA, Vinyard, BT et al. (2003) Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr 77, 1171–1178.
28. Moshfegh, AJ, Rhodes, DG, Baer, DJ et al. (2008) The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 88, 324–332.
29. Oh, SY & Hong, MH (1999) Within- and between-person variation of nutrient intakes of older people in Korea. Eur J Clin Nutr 53, 625–629.