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
- Gilbert T. Chua (ORCID: https://orcid.org/0000-0003-0333-0059)
- Ting Fan Leung (ORCID: https://orcid.org/0000-0002-6469-1926)
- Kam Lun Hon
- Alexander K.C. Leung
Institutions
- Union Hospital (HK)
- Chinese University of Hong Kong (HK)
- Alberta Children's Hospital (CA)
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