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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Evaluation of paper-based and web-based food frequency questionnaires for 7-year-old children in Singapore
Jun S Lai1, Jason Loh1,2, Jia Ying Toh1
1Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Insights
A new web-based food frequency questionnaire (FFQ) for children showed results comparable to a paper FFQ. This dietary assessment tool demonstrated good agreement for micronutrient intake and classification of children
Area of Science:
- Nutrition Science
- Public Health
- Pediatric Research
Background:
- Dietary assessment in children is crucial for understanding health outcomes.
- Traditional methods like paper-based food frequency questionnaires (FFQ) have limitations.
- Technological advancements allow for more efficient and user-friendly dietary data collection.
Purpose of the Study:
- To develop and validate a web-based, pictorial FFQ for assessing dietary intake in 7-year-old children.
- To compare the performance of the web-FFQ against a paper-FFQ and 3-day diet records (3DDR).
- To evaluate the usability and participant preference for the web-FFQ.
Main Methods:
- Ninety-two mothers completed a paper-FFQ, a web-FFQ, and a 3DDR for their child's dietary intake.
- Statistical analyses included Pearson's correlation, Lin's concordance, Bland-Altman plots, and Cohen's kappa for agreement.
- A usability questionnaire assessed participant feedback and preference for the web-FFQ.
Main Results:
- Both paper and web-FFQs showed good correlation and acceptable agreement for energy, nutrients, and food groups.
- The web-FFQ demonstrated acceptable-good agreement with 3DDR for absolute micronutrient intake and classification into intake tertiles.
- The web-FFQ was well-received, with 81% of participants preferring it over the paper version.
Conclusions:
- The newly developed web-FFQ provides dietary intake estimates comparable to the paper-FFQ.
- The web-FFQ is a feasible and acceptable tool for collecting dietary data in children, showing good agreement for micronutrients.
- Its positive user acceptance suggests potential for widespread use in future nutritional studies.
Abstract:
Advances in technology enabled the development of a web-based, pictorial FFQ to collect parent-report dietary intakes of 7-year-old children in the Growing Up in Singapore Towards healthy Outcomes study. This study aimed to compare intakes estimated from a paper-FFQ and a web-FFQ and examine the relative validity of both FFQ against 3-d diet records (3DDR). Ninety-two mothers reported food intakes of their 7-year-old child on a paper-FFQ, a web-FFQ and a 3DDR. A usability questionnaire collected participants' feedback on the web-FFQ. Correlations and agreement in energy, nutrients and food groups intakes between the dietary assessments were evaluated using Pearson's correlation, Lin's concordance, Bland-Altman plots, Cohen's κ and tertile classification. The paper- and web-FFQ had good correlations (≥ 0·50) and acceptable-good agreement (Lin's concordance ≥ 0·30; Cohen's κ ≥ 0·41; ≥ 50 % correct and ≤ 10 % misclassification into same or extreme tertiles). Compared with 3DDR, both FFQ showed poor agreement (< 0·30) in assessing absolute intakes except micronutrients (web-FFQ had acceptable-good agreement), but showed acceptable-good ability to classify children into tertiles (κ ≥ 0·21; ≥ 40 % and ≤ 15 % correct or misclassification). Bland-Altman plots suggest good agreement between web-FFQ and 3DDR in assessing micronutrients and several food groups. The web-FFQ was well-received, and majority (81 %) preferred the web-FFQ over the paper-FFQ. The newly developed web-FFQ produced intake estimates comparable to the paper-FFQ, has acceptable-good agreement with 3DDR in assessing absolute micronutrients intakes and has acceptable-good ability to classify children according to categories of intakes. The positive acceptance of the web-FFQ makes it a feasible tool for future dietary data collection.

