The Hidden Spectrum Within Eating Disorders: Clustering Neurodivergent Traits and Sensory Sensitivity.

IF 4.3 2区 医学 Q1 NUTRITION & DIETETICS
Paolo Meneguzzo, Marta Magno, Alice Garolla, Elisa Bonello, Elena Tenconi, Patrizia Todisco
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引用次数: 0

Abstract

Objective: Emerging research suggests that autistic traits and sensory sensitivities are prevalent among individuals with eating disorders (EDs), particularly females. Traditional diagnostic approaches may overlook the heterogeneity of neurodevelopmental features within this population. A person-centered approach could uncover meaningful subgroups and guide individualized treatment strategies. This study aimed to identify neurocognitive profiles among cisgender female ED patients, focusing on autistic traits, sensory sensitivity, social cognition, and clinical severity, through a dimensional and person-centered clustering approach.

Method: A total of 164 cisgender female patients were assessed using the Autism Spectrum Quotient (AQ-10), Girls Questionnaire for Autism Spectrum Condition (GQ-ASC), Sensory Perception Quotient (SPQ-10), Story-based Empathy Task (SET), and clinical measures including the Eating Disorder Examination Questionnaire (EDE-Q), Body Uneasiness Test (BUT), and Symptom Checklist-90-Revised (SCL-90-R). Hierarchical cluster analysis (Ward's method) was conducted on standardized scores. Between-cluster comparisons and multinomial logistic regression assessed the robustness and predictive validity of the cluster solution.

Results: Four distinct clusters emerged, differing significantly in autistic traits, sensory sensitivity, social cognition, and ED severity (all p < 0.001). Profiles included a neurodivergent high-risk group, a cognitively compensated group, a sensory-reactive group, and a classically symptomatic group. Multinomial logistic regression predicted cluster membership with 94% accuracy.

Discussion: Neurodevelopmental dimensions meaningfully differentiate ED subgroups and may inform more personalized, stratified care. These findings highlight the importance of integrating autistic traits, sensory processing, and social cognition into ED assessment and treatment planning.

Public significance statement: This study identifies four distinct neurodevelopmental and clinical profiles among women with eating disorders, defined by differences in autistic traits, sensory sensitivity, and social cognition. Understanding these profiles can help clinicians recognize the diversity of presentations in eating disorders and adapt interventions to the specific needs of each individual, particularly those with neurodivergent features, ultimately promoting more personalized and effective care.

饮食失调中隐藏的光谱:聚类神经发散特征和感觉敏感性。
目的:新的研究表明,自闭症特征和感觉敏感性在饮食失调(EDs)患者中普遍存在,尤其是女性。传统的诊断方法可能忽略了这一人群神经发育特征的异质性。以人为本的方法可以发现有意义的亚组,并指导个性化的治疗策略。本研究旨在通过维度和以人为中心的聚类方法,确定顺性女性ED患者的神经认知特征,重点关注自闭症特征、感觉敏感性、社会认知和临床严重程度。方法:采用自闭症谱系商(AQ-10)、女孩自闭症谱系状况问卷(GQ-ASC)、感觉知觉商(SPQ-10)、基于故事的共情任务(SET)以及进食障碍检查问卷(ed - q)、身体不安测验(BUT)、症状检查表-90-修订(SCL-90-R)等临床测量方法对164例顺性别女性患者进行评估。对标准化分数进行层次聚类分析(Ward’s method)。聚类间比较和多项逻辑回归评估了聚类解决方案的稳健性和预测有效性。结果:出现了四个不同的集群,在自闭症特征、感觉敏感性、社会认知和ED严重程度上有显著差异。讨论:神经发育维度有意义地区分ED亚组,并可能为更个性化、分层的护理提供信息。这些发现强调了将自闭症特征、感觉加工和社会认知整合到ED评估和治疗计划中的重要性。公众意义声明:这项研究确定了饮食失调女性的四种不同的神经发育和临床特征,由自闭症特征、感觉敏感性和社会认知的差异来定义。了解这些特征可以帮助临床医生认识到饮食失调表现的多样性,并根据每个人的具体需求调整干预措施,特别是那些具有神经发散特征的人,最终促进更个性化和有效的护理。
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来源期刊
CiteScore
10.00
自引率
12.70%
发文量
204
审稿时长
4-8 weeks
期刊介绍: Articles featured in the journal describe state-of-the-art scientific research on theory, methodology, etiology, clinical practice, and policy related to eating disorders, as well as contributions that facilitate scholarly critique and discussion of science and practice in the field. Theoretical and empirical work on obesity or healthy eating falls within the journal’s scope inasmuch as it facilitates the advancement of efforts to describe and understand, prevent, or treat eating disorders. IJED welcomes submissions from all regions of the world and representing all levels of inquiry (including basic science, clinical trials, implementation research, and dissemination studies), and across a full range of scientific methods, disciplines, and approaches.
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