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Development of a Simplified Portion Size Selection Task.

Aimee E Pink^1,2, Bobby K Cheon^1,3

¹School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore.

Foods (Basel, Switzerland)

|June 2, 2021

Summary

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Researchers developed simplified online tools to accurately measure food portion sizes, addressing limitations of current methods. These new portion size estimation tools are valid and suitable for remote data collection.

Area of Science:

Nutrition science
Behavioral science
Psychology

Background:

Portion size significantly influences energy intake and weight management.
Existing portion size measurement tools have limitations, including restricted food options, physical presence requirements, and logistical challenges.

Purpose of the Study:

To develop and validate simplified, user-friendly portion size estimation tools for remote online data collection.
To assess the reliability and validity of novel online portion size selection tasks (PSTs).

Main Methods:

Developed two simplified online PSTs: a horizontal continuum slider and a vertical multiple-choice image format.
150 participants completed the simplified PSTs, a standard PST, and questionnaires on eating behaviors and food preferences.

Keywords:

cognitive restraint food characteristics liking online research portion selection task portion size

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Statistical analysis examined predictors of portion size estimation and agreement between methods.

Main Results:

Average food liking predicted portion size estimation across all tasks.
Cognitive restraint was a significant predictor for the simplified online PSTs.
Significant agreement was found between simplified PSTs and the standard PST when controlling for food liking.

Conclusions:

Simplified online portion size selection tasks are robust, valid, and suitable for remote assessment.
These tools offer a practical alternative to traditional methods for measuring portion sizes in research settings.