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Related Experiment Video

Updated: Jun 12, 2026

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

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

Published on: September 18, 2018

Nutrient database development: a historical perspective from the Framingham Nutrition Studies.

Dolores M Wolongevicz¹, Lisa S Brown, Barbara E Millen

¹Millennium Nutrition, Inc, Westwood, MA, USA.

Journal of the American Dietetic Association

|May 26, 2010

Summary

Developing a robust food and nutrient database is crucial for accurate dietary assessments using food frequency questionnaires (FFQs). This systematic approach ensures reliable nutritional epidemiology data from historical FFQs.

Related Experiment Videos

Last Updated: Jun 12, 2026

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

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

Published on: September 18, 2018

Area of Science:

Nutritional Epidemiology
Dietary Assessment Methodology

Background:

Food frequency questionnaires (FFQs) are standard tools in nutritional epidemiology for assessing eating habits.
Accurate nutrient intake estimation relies on comprehensive food and nutrient databases.

Purpose of the Study:

To detail the systematic procedures for creating a historical nutrient database for analyzing a 1984-1988 Framingham Offspring-Spouse Study FFQ.
To provide a replicable protocol for developing robust databases to support FFQ data interpretation.

Main Methods:

Utilized the US Department of Agriculture's Nutrient Database for Standard Reference.
Expanded FFQ items to code individual foods and assigned nutrient values.
Developed a statistical model for calculating nutrient intakes from the 145-item semi-quantitative FFQ.

Main Results:

Created a historical database containing 449 foods with nutrient data for 29 nutrients from 1985.
Established a systematic protocol for deriving usual dietary intake from FFQ data using the developed database.

Conclusions:

The integrity of the underlying nutrient database is essential for reliable FFQ data.
This systematic protocol provides a foundation for future nutrition research and can be updated for evolving food supplies and behaviors.