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
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
杨德帅发布了新的文献求助10
1秒前
椰树椰汁发布了新的文献求助10
2秒前
连长发布了新的文献求助10
3秒前
CQ完成签到 ,获得积分10
3秒前
刘桑桑完成签到,获得积分10
4秒前
4秒前
Fortune完成签到,获得积分10
4秒前
执着念烟完成签到,获得积分10
4秒前
指南针发布了新的文献求助10
5秒前
5秒前
喂喂醒醒晚安了完成签到,获得积分10
7秒前
pluto应助冰美式不加糖采纳,获得10
7秒前
Fortune发布了新的文献求助10
8秒前
天天快乐应助xccc采纳,获得10
8秒前
9秒前
10秒前
10秒前
青葱之松完成签到,获得积分10
11秒前
浮游应助地啦啦啦采纳,获得10
11秒前
机智的弱发布了新的文献求助10
13秒前
lokiyyy发布了新的文献求助10
14秒前
量子星尘发布了新的文献求助10
14秒前
999999发布了新的文献求助10
15秒前
15秒前
BYC发布了新的文献求助10
18秒前
大个应助xiankanyun采纳,获得10
18秒前
YUJIALING完成签到 ,获得积分10
18秒前
司忆发布了新的文献求助10
18秒前
张倩发布了新的文献求助10
19秒前
文欣妍完成签到,获得积分10
20秒前
SONG完成签到,获得积分10
21秒前
慕青应助AKA采纳,获得10
22秒前
24秒前
24秒前
SciGPT应助跳跃的小林采纳,获得10
24秒前
26秒前
SONG发布了新的文献求助10
28秒前
999999发布了新的文献求助10
29秒前
IU2021发布了新的文献求助10
30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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5680081
求助须知:如何正确求助?哪些是违规求助? 4995956
关于积分的说明 15171678
捐赠科研通 4839887
什么是DOI,文献DOI怎么找? 2593687
邀请新用户注册赠送积分活动 1546696
关于科研通互助平台的介绍 1504768