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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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Using item response theory to address vulnerabilities in FFQ.

Josh B Kazman1, Jonathan M Scott1, Patricia A Deuster1

  • 1Department of Military and Emergency Medicine,Uniformed Services University of the Health Sciences,Bethesda,MD 20814-4712,USA.

The British Journal of Nutrition
|September 14, 2017
PubMed
Summary

Psychometric approaches improve dietary assessment tools like food frequency questionnaires (FFQs) by treating diet as a latent construct. This enhances data consistency and research validity for better nutrient intake estimation.

Keywords:
DIF differential item functioningGRM Graded Response ModelIRT item response theoryPROMIS Patient Reported Outcomes Measurement Information SystemThe views expressed are those of the authors and do not reflect the official policy or position of the Uniformed Services University of the Health Sciencesthe Department of the Defense or the US GovernmentDietary recordsMilitary medicinePopulation surveillancePsychometrics

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Area of Science:

  • Nutritional Science
  • Psychometrics
  • Health Informatics

Background:

  • Self-reported dietary data, often from Food Frequency Questionnaires (FFQs), suffers from significant limitations and inconsistencies.
  • Existing dietary assessment instruments can produce questionable interpretations due to inherent vulnerabilities in self-reporting.

Purpose of the Study:

  • To explore the value of psychometric approaches and standards in refining instruments for estimating dietary habits and nutrient intake.
  • To propose an iterative modeling approach using latent constructs to optimize FFQs and similar dietary assessment tools.

Main Methods:

  • Utilized psychometric modeling, including factor analysis and Item Response Theory (IRT), on data from 12,370 US Army Soldiers (2012 Global Assessment Tool).
  • Applied differential item functioning (DIF) for scale validity assessment across Army sub-populations.

Main Results:

  • Factor analysis identified five key items for scale construction, optimizing the latent construct of diet.
  • IRT analysis revealed potential issues with response category wording or ordering.
  • DIF analysis confirmed the scale's validity across diverse military sub-populations.

Conclusions:

  • Psychometric modeling, particularly treating diet as a latent construct, significantly enhances the internal consistency and research value of dietary assessment instruments.
  • This iterative approach offers a promising strategy for refining future Food Frequency Questionnaires and similar tools.