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The Importance of Within-Person Variability in Estimating Prevalence

  • Chapter
Monitoring Dietary Intakes

Part of the book series: ILSI Monographs ((ILSI MONOGRAPHS))

Abstract

There are four major uses of national nutrition data [1–3]:

  1. 1.

    Assessment and monitoring

  2. 2.

    Regulation

  3. 3.

    Evaluation of the impact of diet on the risk of disease or death

  4. 4.

    Commercial uses

All four require precise and accurate estimates of prevalence.

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References

  1. Murphy RS, Michael GA (1982) Methodologic considerations of the National Health and Nutrition Examination Survey. Am J Clin Nutr 35: 1255–1258

    PubMed  CAS  Google Scholar 

  2. Woteki CE, Briefel RR, Kuczmarski R (1988) Contributions of the National Center for Health Statistics. Am J Clin Nutr 47: 320–328

    PubMed  CAS  Google Scholar 

  3. Yetley EA, Hanson EA (1983-4) Data sources and methods for estimating consumption of food components. J Toxicol Clin Toxicol 21: 181–200

    Google Scholar 

  4. Burk MC, Pao EM (1976) Methodology for large-scale surveys of household and individual diets. Home Economics Research Report No. 40. Agricultural Research Service. United States Department of Agriculture. Washington, DC

    Google Scholar 

  5. Becker BG, Indik BP, Beeuwkes AM (1960) Dietary intake methodologies - a review. University of Michigan Research Institute, Ann Arbor

    Google Scholar 

  6. van Staveren WA, Burema J (1985) Food consumption surveys: frustrations and expectations. Naringsforskning 29: 43–52

    Google Scholar 

  7. Sampson L (1985) Food frequency questionnaires as a research instrument. Clin Nutr 4: 171–178

    Google Scholar 

  8. Sempos CT, Johnson NE, Smith EL et al. (1985) Effects of intraindividual and interindividual variation in repeated dietary records. Am J Epidemiol 121: 120–130

    PubMed  CAS  Google Scholar 

  9. Sempos CT, Johnson NE, Smith EL et al. (1986) Estimated ratios of within-person to between-person variation in selected food groups. Nutr Rep Int 34: 1121–1127

    Google Scholar 

  10. 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

    PubMed  CAS  Google Scholar 

  11. Liu K, Stamler J, Dyer A et al. (1978) Statistical methods to assess and minimize the role of intraindividual variability in obscuring the relationship between dietary lipids and serum cholesterol. J Chron Dis 31: 399–418

    Article  PubMed  CAS  Google Scholar 

  12. 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

    PubMed  CAS  Google Scholar 

  13. Jacobs DR Jr, Anderson JT, Blackburn H (1979) Diet and serum cholesterol. Do zero correlations negate the relationshipo: Am J Epidemiol 110: 77–87

    PubMed  Google Scholar 

  14. Beaton GH (1982) What do we think we are estimating. In: Beal VA, Laus MJ (eds) Proceedings of the symposium on dietary data collection, analysis and significance. Research Bulletin No. 675, pp 36 - 48. Massachusetts Agricultural Research Station, University of Massachusetts, Amherst, MA

    Google Scholar 

  15. National Research Council, Subcommittee on Criteria for Dietary Evaluation (1986) Nutrient adequacy: assessment using food consumption surveys. National Academy Press, Washington, DC, 146 pp

    Google Scholar 

  16. Anderson SA (ed) (1986) Guidelines for use of dietary intake data. Life Sciences Research Office. Federation of American Societies for Experimental Biology. Bethesda, MD, 90 pp

    Google Scholar 

  17. Anderson SA (1988) Guidelines for use of dietary intake data. J Am Dietet Assoc 88: 1258–1260

    CAS  Google Scholar 

  18. Beaton GH, Milner J, McGuire V et al. (1983) Sources 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

    PubMed  CAS  Google Scholar 

  19. McGee D, Rhoads G, Hankin J et al. (1982) Within-person variability of nutrient intake in a group of Hawaiian men of Japanese ancestry. Am J Clin Nutr 36: 657–663

    PubMed  CAS  Google Scholar 

  20. Harris EK, Kanofsky P, Shakarji G et al. (1970) Biological and analytical components of variation in long-term studies of serum constituents in normal subjects. Clin Chem 16: 1022–1027

    PubMed  CAS  Google Scholar 

  21. Tangney CC, Shekelle RB, Raynor W et al. (1987) Intra- and interindividual variation in measurements of p-carotene, retinol and tocopherols in diet and plasma. Am J Clin Nutr 45: 764–769

    PubMed  CAS  Google Scholar 

  22. Looker A, Woteki C, Sempos C et al. (1989) Limitations in existing nutrition survey methods. In: Livingston G (ed) Nutritional status assessment of the individual. Food and Nutrition Press, Trumbull CT, pp 57–67

    Google Scholar 

  23. Looker AC, Sempos CT, Liu K et al. (1990) Within-person variance in biochemical indicators of iron status: effects on prevalence estimates. Am J Clin Nutr (in press) 52:541–547

    PubMed  CAS  Google Scholar 

  24. Neter J, Wasserman W (1974) Applied linear statistical models. Richard D. Irwin, Home wood, IL, p 53

    Google Scholar 

  25. Expert Panel (1988) Report of the National Cholesterol Education Program Expert Panel on detection, evaluation and treatment of high blood cholesterol in adults. Arch Intern Med 148: 36–69

    Article  Google Scholar 

  26. National Institutes of Health Consensus Conference (1984) Osteoporosis. JAMA 252: 799–802

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. National Center for Health Statistics, 6525 Belcrest Road, Room 900, Hyattsville, MD, 20782, USA

    C. T. Sempos, A. C. Looker, C. L. Johnson & C. E. Woteki

Authors
  1. C. T. Sempos
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  2. A. C. Looker
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  3. C. L. Johnson
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  4. C. E. Woteki
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Editor information

Editors and Affiliations

  1. Guy’s Hospital Medical and Dental School, St. Thomas’ Street, SE1 9RT, London, UK

    Ian Macdonald MD, DSc, FIBiol (ILSI Nutrition Co-ordinator, Emeritus Professor of Applied Physiology) (ILSI Nutrition Co-ordinator, Emeritus Professor of Applied Physiology)

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© 1991 Springer-Verlag Berlin Heidelberg

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Sempos, C.T., Looker, A.C., Johnson, C.L., Woteki, C.E. (1991). The Importance of Within-Person Variability in Estimating Prevalence. In: Macdonald, I. (eds) Monitoring Dietary Intakes. ILSI Monographs. Springer, London. https://doi.org/10.1007/978-1-4471-1828-2_9

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  • DOI: https://doi.org/10.1007/978-1-4471-1828-2_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1830-5

  • Online ISBN: 978-1-4471-1828-2

  • eBook Packages: Springer Book Archive

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