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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Supplementing national menu labeling.

James G Hodge1, Lexi C White

  • 1Sandra Day O'Connor College of Law, Arizona State University, Tempe, AZ 85287-7906, USA. james.hodge.1@asu.edu

American Journal of Public Health
|October 20, 2012
PubMed
Summary
This summary is machine-generated.

New US menu labeling rules require calorie counts to fight obesity. Supplemental nutritional data or health graphics could improve consumer choices for better public health outcomes.

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Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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Last Updated: May 17, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Area of Science:

  • Public Health Nutrition
  • Behavioral Science
  • Health Policy

Background:

  • The US Food and Drug Administration (FDA) is implementing national menu labeling regulations requiring calorie information on restaurant menus.
  • Current menu labeling may be insufficient as calorie counts can be ignored or misunderstood, and do not fully represent food healthiness.

Purpose of the Study:

  • To propose enhanced menu labeling models beyond simple calorie counts.
  • To empower consumers with more comprehensive data for making healthier food choices in restaurants.
  • To contribute to strategies for reducing the national obesity epidemic.

Main Methods:

  • Developing supplemental models for menu labeling.
  • Incorporating detailed nutritional information (e.g., fat, salt, sugar) into proposed models.
  • Integrating specific health guidance, such as "heart-healthy" graphics, into menu displays.

Main Results:

  • Proposed models offer richer nutritional context compared to calorie-only labeling.
  • Supplemental information has the potential to increase consumer understanding of food healthiness.
  • Enhanced labeling could lead to more informed and healthier dietary choices.

Conclusions:

  • Calorie-only menu labeling may have limitations in influencing consumer behavior and public health.
  • Supplemental nutritional data and health guidance are promising strategies to enhance menu labeling effectiveness.
  • Improved data presentation can empower consumers and support obesity reduction efforts.