The EAT Algorithm: A Visual Tool to De-escalate Food Avoidance Anxiety in Parents.

IF 2.4 Q3 PEDIATRICS
Kam Lun Hon, Alexander K C Leung, Gilbert Chua, Ting Fan Leung
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引用次数: 0

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.

EAT算法:降低父母食物回避焦虑的可视化工具。
管理父母的食物避免焦虑和对孩子的担忧,特别是那些患有特应性疾病的孩子,可能是具有挑战性的,有时令人沮丧。这篇文章的目的是描述一个简单的示意图算法的用法,以咨询食物恐惧症的父母。本文描述了匿名的简短案例,以说明EAT图形算法的效用,该算法旨在为父母提供管理食物回避焦虑的建议。EAT算法在五个不同案例中的应用成功地指导了饮食决策,减少了不必要的食物避免,并使父母管理与临床证据保持一致。EAT算法提供了一个易于理解的可视化示意图,可以使临床医生有效地向父母提供咨询,潜在地减少不必要的测试并促进更规范的饮食。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
66
期刊介绍: Current Pediatric Reviews publishes frontier reviews on all the latest advances in pediatric medicine. The journal’s aim is to publish the highest quality review articles dedicated to clinical research in the field. The journal is essential reading for all researchers and clinicians in pediatric medicine.
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