Paolo Meneguzzo, Marta Magno, Alice Garolla, Elisa Bonello, Elena Tenconi, Patrizia Todisco
{"title":"饮食失调中隐藏的光谱:聚类神经发散特征和感觉敏感性。","authors":"Paolo Meneguzzo, Marta Magno, Alice Garolla, Elisa Bonello, Elena Tenconi, Patrizia Todisco","doi":"10.1002/eat.24529","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Discussion: </strong>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.</p><p><strong>Public significance statement: </strong>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.</p>","PeriodicalId":51067,"journal":{"name":"International Journal of Eating Disorders","volume":" ","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Hidden Spectrum Within Eating Disorders: Clustering Neurodivergent Traits and Sensory Sensitivity.\",\"authors\":\"Paolo Meneguzzo, Marta Magno, Alice Garolla, Elisa Bonello, Elena Tenconi, Patrizia Todisco\",\"doi\":\"10.1002/eat.24529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Discussion: </strong>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.</p><p><strong>Public significance statement: </strong>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.</p>\",\"PeriodicalId\":51067,\"journal\":{\"name\":\"International Journal of Eating Disorders\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Eating Disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/eat.24529\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Eating Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/eat.24529","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
The Hidden Spectrum Within Eating Disorders: Clustering Neurodivergent Traits and Sensory Sensitivity.
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.
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.