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  1. Johnson RK, Soultanakis RP, Matthews DE. Literacy and body fatness are associated with underreporting of energy intake in US low income women using the multiple-pass 24-hour recall, a doubly labelled water study. Journal of the American Dietetic Association 1998; 98(10): 1136-40.

  2. Jonnalagadda S., Mitchell DC, Smiciklas-Wright H, et al. Accuracy of energy intake data estimated by a multi-pass 24-hour dietary recall technique. Journal of the American Dietetic Association 2000; 100(3): 303-8.

  3. Johansson G., Wikman A, Ahren AM, et al. Under-reporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living.  Public Health Nutrition 2001; 4(4): 919-27.

  4. Pikholz C, Swinburn B, Metcalf P. Under-reporting of energy intake in the 1997 National Nutrition Survey. Journal of the New Zealand Medical Association 2004; 117(1202): 1-11.

  5. Tooze JA, Subar AF, Thompson FE, et al. Psychosocial predictors of energy under-reporting in a large doubly labeled water study. American Journal of Clinical Nutrition 2004; 79: 795-804

  6. Livingstone BE, Black AE. Markers of the validity of reported energy intake. Journal of Nutrition 2003; 133: 895S-920S.

  7. Moshfegh AJ, Borrud L, Perloff B, et al. Improved method for the 24-hour dietary recall for use in national surveys. The FASEB Journal: Official Publication of the Federation of American Societies for Experiment Biology 1999; 13: A603 (abstract).

  8. Moshfegh AJ, Raper N, Ingwersen L, et al. An improved approach to 24-hour dietary recall methodology. Annals of Nutrition and Metabolism 2001; 45(Supplement):156 (abstract).

  9. Garriguet D. Under-reporting of energy intake in the Canadian Community Health Survey. Health Reports (Statistics Canada, Catalogue 82-003) 2008; 19(3): xx-xx.

  10. Béland Y, Dale V, Dufour J, Hamel M. The Canadian Community Health Survey:  Building on the success from the past.  Proceedings of the American Statistical Association Joint Statistical Meeting, Section on Survey Research Methods, August 2005. Minneapolis: American Statistical Association, 2005.

  11. Health Canada. Canadian Nutrient File, 2005 Version.

  12. Tjepkema M. Adult obesity. Health Reports (Statistics Canada, Catalogue 82-003) 2006; 17(3): 9-25.

  13. Shields M. Overweight and obesity among children and youth. Health Reports (Statistics Canada, Catalogue 82-003) 2006; 17(3): 27-42.

  14. Institute of Medicine. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein and Amino Acids. Washington, DC: National Academy Press, 2005.

  15. Goldberg GR, Black AE, Jebb SA, et al. Critical evaluation of energy intake data using fundamental principles of energy physiology. 1. Derivation of cut-off values to identify under-recording. European Journal of Clinical Nutrition, 1991; 45: 569-81.

  16. Black AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake: basal metabolic rate. A practical guide to its calculation, use and limitations. International Journal of Obesity 2000; 24: 1119-30.

  17. McCrory MA, Hajduk CL, Roberts SB. Procedures for screening out inaccurate reports of dietary energy intake. Public Health Nutrition 2002; 5: 873-82.

  18. Huang TT, Roberts SB, Howarth NC, McCrory MA. Effect of screening out implausible energy intake reports on relationships between diet and BMI. Obesity Research 2005; 13(7): 1205-17.

  19. ENVIRON International Corporation. What America Drinks.

  20. Black AE, Cole TJ. Within- and between-subject variation in energy expenditure measured by doubly labelled water: implications for assessing the validity of reported dietary energy intake. European Journal of Clinical Nutrition 2000; 54: 386-94.

  21. Rao JNK, Wu CFJ, Yue K. Some recent work on resampling methods for complex surveys. Survey Methodology (Statistics Canada, Catalogue 12-001) 1992; 18(2): 209-17.

  22. Rust KF, Rao JNK. Variance estimation for complex surveys using replication techniques, Statistical Methods in Medical Research 1996; 5(3): 281-310.

  23. Yeo D, Mantel H, Liu TP. Bootstrap Variance Estimation for the National Population Health Survey. Proceedings of the Annual Meeting of the American Statistical Association: Survey Research Methods Section. American Statistical Association: Baltimore, August 1999.

  24. Health Canada. Canadian Guidelines for Body Weight Classification in Adults (Catalogue H49-179/2003E) Ottawa: Health Canada, 2003.

  25. Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. British Medical Journal 2000; 32 (7244): 1240-3.

  26. FAO/WHO/UNU. Energy and protein requirements. Report of a Joint FAO/WHO/UNU consultation.(Technical Report Series, 724). Geneva: World Health Organization, 1985.

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