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

Public Health Nutr. 1998 Dec;1(4):239-47. doi: 10.1079/phn19980040.

Abstract

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.

Publication types

  • Comparative Study
  • Review

MeSH terms

  • Adult
  • Budgets
  • Child
  • Databases, Factual
  • Diet Surveys
  • Europe
  • Food / classification
  • Food / economics*
  • Food Additives / administration & dosage*
  • Food Analysis / methods
  • Humans
  • Predictive Value of Tests
  • Regression Analysis

Substances

  • Food Additives