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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

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Published on: September 18, 2018

Development and User Experience Evaluation of an Experience Sampling-Based Dietary Assessment Method.

Joke Verbeke¹, Christophe Matthys^1,2

¹Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium.

Current Developments in Nutrition

|November 25, 2024

Summary

Experience sampling-based dietary assessment methods (ESDAM) offer improved feasibility and data accuracy over traditional tools. This novel approach shows promise for more reliable dietary intake measurement in real-time.

Keywords:

digital biomarker digital health ecological momentary assessment epidemiology mobile nutrition assessment

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Published on: February 19, 2021

Area of Science:

Nutrition Science
Dietary Assessment Methodology
Health Technology

Background:

Traditional dietary assessment methods, including technology-based ones, share limitations and biases.
Experience Sampling Methodology (ESM) offers a real-life, real-time data capture alternative.
ESM is explored to enhance feasibility and accuracy in dietary assessment.

Purpose of the Study:

To develop and evaluate an Experience Sampling-based Dietary Assessment Method (ESDAM).
To measure habitual dietary intake using the novel ESDAM.
To assess the feasibility, validity, and user experience of ESDAM.

Main Methods:

Adapted a food frequency questionnaire (FFQ) using ESM principles to create a pilot ESDAM.
Evaluated pilot ESDAM's feasibility and convergent validity against a 3-day food record (FR).
Refined ESDAM based on literature review and expert opinion, implementing it in a survey application for user experience (UX) evaluation.

Main Results:

Compared mean energy intake: FFQ (1272.2 kcal/d), pilot ESDAM (1592.3 kcal/d), and FR (1664.6 kcal/d).
Pilot ESDAM showed good acceptability and ease of use, though response time window was noted as inconvenient.
UX evaluations indicated overall good acceptability, ease of use, and low burden for ESDAM prototypes.

Conclusions:

Experience Sampling Methodology (ESM) can advance dietary assessment beyond traditional methods, improving feasibility.
ESDAM is a unique quantitative dietary intake assessment tool utilizing ESM.
Further validity assessments are recommended to fully understand ESDAM's data accuracy.