Development of a Web-Based 24-h Dietary Recall for a French-Canadian Population

Nutrients. 2016 Nov 15;8(11):724. doi: 10.3390/nu8110724.


Twenty-four-hour dietary recalls can provide high-quality dietary intake data, but are considered expensive, as they rely on trained professionals for both their administration and coding. The objective of this study was to develop an automated, self-administered web-based 24-h recall (R24W) for a French-Canadian population. The development of R24W was inspired by the United States Department of Agriculture (USDA) Automated Multiple-Pass Method. Questions about the context of meals/snacks were included. Toppings, sauces and spices frequently added to each food/dish were suggested systematically. A list of frequently forgotten food was also suggested. An interactive summary allows the respondent to track the progress of the questionnaire and to modify or remove food as needed. The R24W prototype was pre-tested for usability and functionality in a convenience sample of 29 subjects between the ages of 23 and 65 years, who had to complete one recall, as well as a satisfaction questionnaire. R24W includes a list of 2865 food items, distributed into 16 categories and 98 subcategories. A total of 687 recipes were created for mixed dishes, including 336 ethnic recipes. Pictures of food items illustrate up to eight servings per food item. The pre-test demonstrated that R24W is easy to complete and to understand. This new dietary assessment tool is a simple and inexpensive tool that will facilitate diet assessment of individuals in large-scale studies, but validation studies are needed prior to the utilization of the R24W.

Keywords: 24-h dietary recall; Automated Multiple-Pass Method; Mediterranean score; dietary assessment; dietary intake; healthy eating index; web application.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Canada
  • Diet / statistics & numerical data*
  • Diet Surveys*
  • Female
  • Humans
  • Internet*
  • Male
  • Mental Recall
  • Middle Aged
  • Nutrition Assessment
  • Nutritional Status
  • Software Design
  • Surveys and Questionnaires
  • Young Adult