Development and Pilot Study of myfood24 West Africa-An Online Tool for Dietary Assessment in Nigeria

Nutrients. 2024 Oct 15;16(20):3497. doi: 10.3390/nu16203497.

Abstract

Background and objective: Tools to accurately and efficiently measure dietary intake in Nigeria are lacking. We aimed to develop and assess the usability of a new online dietary assessment tool for Nigeria-myfood24 West Africa.

Methods: We developed the myfood24 West Africa database using data from existing food composition tables, packaged foods labels and research articles. The development followed seven steps: identified data sources, selected foods, processed/cleaned the data, calculated the nutrient content of recipes, created and allocated portion sizes, quality-checked the database and developed food accompaniments. To pilot the tool, we recruited 179 university staff in Nigeria using a cross-sectional design. Usability was assessed using a questionnaire that included the System Usability Scale (SUS) and a feedback session.

Results: The database included 924 foods, with up to 54 nutrients and 35 portion-size images allocated to foods. Sixty percent of the data were sourced from the 2019 West Africa Food Composition Table, 17% from back-of-pack labels of packaged foods, 14% from the 2017 Nigerian Food Composition Table, 5% from generated recipes and 4% from the published literature. Of the participants, 30% (n = 53) self-recorded their food intake, with a total of 1345 food and drink entries from both self- and interviewer-collected data. The mean SUS score of 74 (95% CI: 68,79) indicated good usability. The feedback showed that the tool was user-friendly, educational and included a variety of local foods.

Conclusions: This new tool will enhance the dietary assessment of the Nigerian population. More work will expand coverage to include more foods from the region.

Keywords: diet monitoring; digital tool; energy intake; food composition tables; nutrition app; nutrition assessment; usability study.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Databases, Factual
  • Diet / statistics & numerical data
  • Diet Surveys
  • Female
  • Food Labeling / methods
  • Humans
  • Internet
  • Male
  • Middle Aged
  • Nigeria
  • Nutrition Assessment*
  • Nutritive Value
  • Pilot Projects
  • Portion Size
  • Surveys and Questionnaires
  • Young Adult