The EAT Algorithm: A Visual Tool to De-escalate Food AvoidanceAnxiety in Parents

Managing parental food avoidance anxiety and concerns about their children, especially those with atopic disease, can be challenging and, at times, frustrating. The purpose of this article is to describe the usage of a simple schematic algorithm to counsel food-phobic parents. Anonymized brief cases are described to illustrate the utility of the EAT graphic algorithm, which is designed to counsel parents in managing concerns about food-avoidance anxiety. The application of the EAT algorithm in five diverse cases successfully guided dietary decisions, reduced unnecessary food avoidance, and aligned parental management with clinical evidence. The EAT algorithm provides an easy-to-understand visual schematic that can empower clinicians to counsel parents effectively, potentially reducing unnecessary testing and promoting a more normalized diet.

Authors

Institutions

Publication Details

Journal
Current Pediatric Reviews
Published
2026-03-11
DOI
https://doi.org/10.2174/0115733963423293251226104705
Primary Topic
Child Nutrition and Feeding Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The EAT Algorithm: A Visual Tool to De-escalate Food AvoidanceAnxiety in Parents

Gilbert T. Chua, Ting Fan Leung, Kam Lun Hon, Alexander K.C. Leung
Current Pediatric Reviews
Child Nutrition and Feeding Issues
article

The EAT Algorithm: A Visual Tool to De-escalate Food AvoidanceAnxiety in Parents

Gilbert T. Chua, Ting Fan Leung, Kam Lun Hon, Alexander K.C. Leung
article en

Abstract

Managing parental food avoidance anxiety and concerns about their children, especially those with atopic disease, can be challenging and, at times, frustrating. The purpose of this article is to describe the usage of a simple schematic algorithm to counsel food-phobic parents. Anonymized brief cases are described to illustrate the utility of the EAT graphic algorithm, which is designed to counsel parents in managing concerns about food-avoidance anxiety. The application of the EAT algorithm in five diverse cases successfully guided dietary decisions, reduced unnecessary food avoidance, and aligned parental management with clinical evidence. The EAT algorithm provides an easy-to-understand visual schematic that can empower clinicians to counsel parents effectively, potentially reducing unnecessary testing and promoting a more normalized diet.

Current Pediatric ReviewsVol. 22
Union Hospital (HK), Chinese University of Hong Kong (HK), Alberta Children's Hospital (CA)
Zero hunger
Openalex Percentile: Top 33%
Child Nutrition and Feeding Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.