Classification of Children and Adolescents With Avoidant/Restrictive Food Intake Disorder

医学 潜在类模型 食物摄入量 儿科 人口学 统计 内科学 数学 社会学
作者
Debra K. Katzman,Tim Guimond,Wendy Spettigue,Holly Agostino,Jennifer Couturier,Mark L. Norris
出处
期刊:Pediatrics [American Academy of Pediatrics]
卷期号:150 (3) 被引量:25
标识
DOI:10.1542/peds.2022-057494
摘要

BACKGROUND AND OBJECTIVES Evidence suggests that children and adolescents with avoidant/restrictive food intake disorder (ARFID) have heterogeneous clinical presentations. To use latent class analysis (LCA) and determine the frequency of various classes in pediatric patients with ARFID drawn from a 2-year surveillance study. METHODS Cases were ascertained using the Canadian Pediatric Surveillance Program methodology from January 1, 2016, to December 31, 2017. An exploratory LCA was undertaken with latent class models ranging from 1 to 5 classes. RESULTS Based on fit statistics and class interpretability, a 3-class model had the best fit: Acute Medical (AM), Lack of Appetite (LOA), and Sensory (S). The probability of being classified as AM, LOA, and S was 52%, 40.7%, and 6.9%, respectively. The AM class was distinct for increased likelihood of weight loss (92%), a shorter length of illness (<12 months) (66%), medical hospitalization (56%), and heart rate <60 beats per minute (31%). The LOA class was distinct for failure to gain weight (97%) and faltering growth (68%). The S class was distinct for avoiding certain foods (100%) and refusing to eat because of sensory characteristics of the food (100%). Using posterior probability assignments, a mixed group AM/LOA (n = 30; 14.5%) had characteristics of both AM and LOA classes. CONCLUSIONS This LCA suggests that ARFID is a heterogeneous diagnosis with 3 distinct classes corresponding to the 3 subtypes described in the literature: AM, LOA, and S. The AM/LOA group had a mixed clinical presentation. Clinicians need to be aware of these different ARFID presentations because clinical and treatment needs will vary.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
所所应助jinjinjin采纳,获得10
刚刚
高高完成签到,获得积分10
刚刚
科研通AI6应助雪雪啊采纳,获得10
刚刚
1秒前
1秒前
Orange应助wise111采纳,获得10
1秒前
hahaha发布了新的文献求助10
1秒前
3秒前
能干妙松完成签到,获得积分10
3秒前
晴天完成签到,获得积分10
3秒前
3秒前
lixm发布了新的文献求助10
4秒前
Dai完成签到,获得积分10
4秒前
5秒前
echosnooow发布了新的文献求助10
5秒前
文艺的幼菱完成签到,获得积分10
6秒前
bkagyin应助0717采纳,获得10
6秒前
可耐的靖完成签到,获得积分10
7秒前
7秒前
123完成签到,获得积分10
7秒前
核桃应助收拾收拾采纳,获得10
7秒前
Dai发布了新的文献求助10
7秒前
8秒前
呆呆发布了新的文献求助10
9秒前
斯文败类应助T拐拐采纳,获得10
9秒前
在水一方应助烟酒僧采纳,获得10
9秒前
9秒前
FashionBoy应助jingdaitianxiang采纳,获得10
11秒前
万幸鹿发布了新的文献求助10
11秒前
11秒前
量子星尘发布了新的文献求助10
11秒前
英俊的铭应助七两碎银子采纳,获得30
11秒前
打打应助奔跑的胰岛素采纳,获得10
11秒前
大约在冬季完成签到,获得积分10
11秒前
嘿嘿发布了新的文献求助10
12秒前
奈落发布了新的文献求助10
12秒前
贪玩小蘑菇完成签到 ,获得积分10
12秒前
14秒前
mark发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
The Complete Pro-Guide to the All-New Affinity Studio: The A-to-Z Master Manual: Master Vector, Pixel, & Layout Design: Advanced Techniques for Photo, Designer, and Publisher in the Unified Suite 1000
按地区划分的1,091个公共养老金档案列表 801
The International Law of the Sea (fourth edition) 800
Machine Learning for Polymer Informatics 500
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5410082
求助须知:如何正确求助?哪些是违规求助? 4527588
关于积分的说明 14111576
捐赠科研通 4441954
什么是DOI,文献DOI怎么找? 2437768
邀请新用户注册赠送积分活动 1429705
关于科研通互助平台的介绍 1407763