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Estimation of population distributions of habitual nutrient intakebased on a short-run weighed food diary

Published online by Cambridge University Press:  09 March 2007

Clifton Gay
Clifton Gay*
Affiliation:
Ministry of Agriculture, Fisheries and Food, Ergon House, 17 Smith Square, London SW1P 3JR, UK
*
*Corresponding author: Dr Clifton Gay, fax +44 (0)171 238 6330, email [email protected]
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Abstract

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There have been many attempts to characterize day-to-day variation in nutrient intake. This variation has a fixed component, associated with particular days of the week, and a random component. Both components were studied for a range of nutrients, using 4 d weighed diary data from a large, nationally representative survey of people aged 65 years or over. Since day-to-day variation may distort the characterization of the population distribution of habitual nutrient intakes, especially when diets are studied over only a small number of days, a statistical method was developed to correct for this distortion. Results suggested that population distributions of habitual nutrient intake could be accurately constructed from 4 d weighed diary data and that the method might be successfully applied to studies based on as little as 2 d of observation. The method is particularly valuable for correcting estimates of extreme nutrient intakes for biases induced by uneven representation of days of the week and by within-person variation.

Keywords

Nutrient intakesWeighed diaryVariance components
Type
Research Article
Information
British Journal of Nutrition , Volume 83 , Issue 3 , March 2000 , pp. 287 - 293
Copyright
Copyright © The Nutrition Society 2000

References

Box, GEP and Cox, DR (1964) An analysis of transformations. Journal of the Royal Statistical Society B 26, 211–252.Google Scholar
Chalmers, J, Morgan, T, Doyle, A, Dickson, B, Hopper, J, Matthews, J, Matthews, G, Moulds, R, Myers, J, Nowson, C, Scoggins, B and Stebbing, M (1986) Australian national health and medical research council dietary salt study in mild hypertension. Journal of Hypertension 4 (Suppl. 6), S629–S637.Google Scholar
Finch, S, Doyle, W, Lowe, C, Bates, CJ, Prentice, A, Smithers, G & Clarke, PC (1998) National Diet and Nutrition Survey: People Aged 65 Years or Over. Vol. 1: Report of the Diet and Nutrition Survey. London: The Stationery Office.Google Scholar
Gardner, MJ and Heady, JA (1973) Some effects of within-person variability in epidemiological studies. Journal of Chronic Disease 26, 781–795.Google Scholar
Gregory, JR, Collins, DL, Davies, PSW, Hughes, JM & Clarke, PC (1995) The National Diet and Nutrition Survey of Children Aged 11/2 to 41/2 Years. London: H.M. Stationery Office.Google Scholar
Gregory, JR, Foster, K, Tyler, H & Wiseman, M (1990) The Dietary and Nutritional Survey of British Adults. London: H.M. Stationery Office.Google Scholar
Hughes, JM, Smithers, G, Gay, C, Clarke, PC, Smith, P, Lowe, C, Prentice, A, Bates, C, Whitelaw, M and Bingham, S (1995) The British National Diet and Nutrition Survey of people aged 65 years or over: protocol and feasibility study. Proceedings of the Nutrition Society 54, 631–643.CrossRefGoogle ScholarPubMed
Liu, K, Stamler, J, Dyer, A, McKeever J and McKeever P (1978) Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol. Journal of Chronic Disease 31, 399–418.CrossRefGoogle ScholarPubMed
James, WPT, Bingham, S and Cole, TG (1981) Epidemiological assessment of dietary intake. Nutrition and Cancer 2, 203–212.CrossRefGoogle ScholarPubMed
Mathsoft (1995) S-Plus Guide to Statistical and Mathematical Analysis, version 3.3. Seattle: StatSci.Google Scholar
Nelson, M, Black, AE, Morris, JA and Cole, TJ (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. American Journal of Clinical Nutrition 50, 155–167.Google Scholar
Tarasuk, V and Beaton, GH (1992) Statistical estimation of dietary parameters: implications of patterns in within-subject variation — a case study of sampling strategies. American Journal of Clinical Nutrition 55, 22–27.Google Scholar
Ward, M, McNulty, H, McPartlin, J, Strain, JJ, Weir, DG and Scott, JM (1997) Plasma homocysteine, a risk factor for cardiovascular disease, can be effectively lowered by physiological amounts of folic acid. Quarterly Journal of Medicine 90, 519–524.Google Scholar