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Predicting percentage of individuals consuming foods from percentage of households purchasing foods to improve the use of household budget surveys in estimating food chemical intakes

Published online by Cambridge University Press:  01 December 1998

Joyce Lambe ,
John Kearney ,
Wulf Becker ,
Karin Hulshof ,
Adrian Dunne  and
Michael J Gibney
Joyce Lambe
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
John Kearney*
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
Wulf Becker
Affiliation:
National Food Administration, Box 622, 5–751 26, Uppsala, Sweden
Karin Hulshof
Affiliation:
TNO Nutrition and Food Research Institute, Utrechtseweg 48, PO Box 360, 3700 AJ Zeist, The Netherlands
Adrian Dunne
Affiliation:
Department of Statistics, University College Dublin, Belfield, Dublin 4, Ireland
Michael J Gibney
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
*
*Corresponding author: E-mail iefs@iefs.ie
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Abstract

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Objective:

To examine the hypothesis that there is sufficient agreement between percentage of households purchasing selected foods using household budget surveys and percentage of individuals consuming these foods as determined in individual-based surveys to allow the former to act as a surrogate for the latter when estimating food chemical intakes using household budget data.

Design:

Database study.

Setting:

Databases from Sweden, The Netherlands, Ireland and the UK.

Subjects:

319 foods (Sweden n=60, The Netherlands n=80, Ireland n=90, UK n=89).

Results:

Pearson correlations demonstrated a high degree of linear association between % households purchasing and % consumers (r=0.86). Regression analysis defined a close positive relationship between the two datasets (slope 0.95, intercept +2.74). Across countries, using the regression equation, the % households predicted % consumers to within 5% of the true value for between 33 and 48% of foods and to within 10% for between 53 and 78% of foods.

Conclusions:

Values for % households can be used as a crude surrogate for % consumers and can thus play a role in improving estimates of food additive intake.

Keywords

Household budget surveysFood chemical intake estimation
Type
Research Article
Information
Public Health Nutrition , Volume 1 , Issue 4 , December 1998 , pp. 239 - 247
Copyright
Copyright © The Nutrition Society 1998

References

1Kohlmeier, L. Problems and pitfalls of food to nutrient conversion in food and health data: their use in nutrition policy making. In: Becker, W, Helsing, E, eds. WHO: WHO Regional Publications, European Series, 1990; 34: 73–84.Google Scholar
2Friel, S, Kelleher, C and the DAFNE II group. Use of the Irish household budget survey for food availability estimation. Proc. Nutr. Soc. 1998, 57: 24A.Google Scholar
3Nelson, M. The distribution of nutrient intake within families. Br. J. Nutr. 1986; 55: 267–77.CrossRefGoogle ScholarPubMed
4Zintaras, E, Kanellou, A, Trichopoulou, A, Nelson, M. The validity of household budget survey (HBS) data: estimation of individual food availability in an epidemiological context. J. Hum. Nutr. Dietet. 1997; 10: 53–62.CrossRefGoogle Scholar
5Chesher, A. Household composition and household purchases. In: Slater, JM, ed. Fifty Years of the National Food Survey. London: Ministry of Agriculture, Fisheries and Food, 1991.Google Scholar
6Larson, HJ. Introduction to Probability Theory and Statistical Inference, third edition. New York: Wiley, 1982.Google Scholar
7WHO. Guidelines for the study of dietary intakes of chemical contaminants. WHO Offset Publication no. 87. Geneva: World Health Organization, 1985.Google Scholar
8Nelson, M, Dyson, PA, Paul, AA. Family food purchases and home food consumption: comparison of nutrient contents. Br. J. Nutr. 1985; 54: 373–87.CrossRefGoogle ScholarPubMed
9Statistics Sweden. Household Expenditures 1989 with Amounts (in Swedish). Stockholm: Statistics Sweden, 1992.Google Scholar
10Netherlands Central Bureau of Statistics. Budget Survey 1992. Den Haag: SDU Publications, 1992.Google Scholar
11Ministry of Agriculture, Fisheries and Food. Household Food Consumption Survey. London: HMSO, 1988.Google Scholar
12Central Statistics Office 1987. Household Budget Survey. Dublin: Central Statistics Office, 1989.Google Scholar
13Becker, W. Food Habits and Nutrient Intakes in Sweden (in Swedish). Uppsala: National Food Administration, 1994.Google Scholar
14 Anonymous. Zo eet Nederland 1992. Den Haag: Voorlichtingsbureau voor de voeding, 1993.Google Scholar
15Gregory, J, Foster, K, Tyler, H, Wiseman, M. The Dietary and Nutritional Survey of British Adults. London: HMSO, 1990.Google Scholar
16Lee, P, Cunningham, K. Irish National Nutrition Survey. Dublin: Irish Nutrition and Dietetic Institute, 1990.Google Scholar