A computer-based incentivized food basket choice tool: Presentation and evaluation.

Area of Science:

• Nutrition science
• Behavioral economics
• Public health

Background:

• Accurate dietary intake assessment is crucial for understanding health behaviors.
• Traditional methods like food frequency questionnaires and 24-hour recalls have limitations in accuracy and cost.
• Developing low-cost, reliable tools for dietary assessment is an ongoing research priority.

Purpose of the Study:

• To develop and evaluate a novel, low-cost computer-based tool for eliciting dietary choices.
• To assess the incentive compatibility and on-line/laboratory study applicability of the tool.
• To compare the tool's dietary intake data with traditional self-report methods and biometric indicators.

Main Methods:

• A study involving approximately 255 adults was conducted.
• Participants allocated a fixed budget across ~100 grocery items, with a chance of receiving selected items.
• Dietary calorie intake data from the incentivized tool were compared against food frequency questionnaires, 24-hour recalls, and biometric measures (weight, BMI, waist size).

Main Results:

• Dietary information showed weak correlations across the three compared methods.
• Only the calorie intake measure from the incentivized computer-based tool significantly correlated with biometric indicators.
• A 10% increase in calorie intake from the tool was associated with a 1.5% increase in BMI, unlike self-report measures.

Conclusions:

• The computer-based tool is a promising, low-cost dietary choice measure, especially for single-observation studies.
• It offers advantages over food frequency questionnaires and 24-hour dietary recalls in specific research contexts.
• The tool is suitable for research with time and budget constraints, providing more reliable calorie intake data.