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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

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Author: Lambe, J. · Kearney, J. · Becker, W. · Hulshof, K. · Dunne, A. · Gibney, M.J.
Institution: Centraal Instituut voor Voedingsonderzoek TNO
Source:Public Health Nutrition, 4, 1, 239-247
Identifier: 234721
Keywords: Nutrition · Food chemical intake estimation · Household budget surveys · Food additive · Adult · Budget · Child · Classification · Comparative study · Diet · Economics · Europe · Factual database · Food · Food analysis · Human · Methodology · Prediction and forecasting · Regression analysis · Review · Adult · Budgets · Child · Databases, Factual · Diet Surveys · Europe · Food · Food Additives · Food Analysis · Humans · Predictive Value of Tests · Regression Analysis


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.