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ObjectiveAvoidant/restrictive food intake disorder (ARFID) is a relatively new formal diagnosis for which empirical classification research (defined here as studies using latent class/latent profile analysis‐type methods) is still emerging. Such research focused on ARFID is an important gap to fill given questions about (1) the boundaries between ARFID and phenotypically similar presentations (e.g., eating disorders [EDs] such as anorexia nervosa [AN], and pediatric feeding disorder [PFD]), and (2) within‐ARFID heterogeneity. These questions have practical implications, including diagnostic reliability and treatment selection.MethodThis forum synthesizes the limited empirical classification literature seeking to quantitatively distinguish ARFID from non‐ARFID EDs or from PFD, and/or characterize within‐ARFID heterogeneity.ResultsTo our knowledge, only five studies in clinical samples have used empirical classification methods to delineate ARFID from non‐ARFID EDs and/or characterize within‐ARFID heterogeneity; no studies have used such methods to delineate ARFID from PFD. Existing studies are mixed in determining how well ARFID can be distinguished from other EDs (particularly AN), but converge in identifying several potential ARFID subclasses (i.e., sensory sensitivity, low appetite, feared eating‐related consequences, and subclass representing a combination of these) with some overlapping features.DiscussionThe existing ARFID empirical classification literature should guide future ARFID classification research priorities (e.g., incorporating mechanistic variables as classification indicators, incorporating longitudinal variables as classification validators) to inform differences between ARFID and other disorders and between ARFID presentations. Dimensional approaches to conceptualizing, studying, and modeling psychopathology (namely, the Hierarchical Taxonomy of Psychopathology [HiTOP] and the Research Domain Criteria [RDoC]) may offer useful insights.
ObjectiveAvoidant/restrictive food intake disorder (ARFID) is a relatively new formal diagnosis for which empirical classification research (defined here as studies using latent class/latent profile analysis‐type methods) is still emerging. Such research focused on ARFID is an important gap to fill given questions about (1) the boundaries between ARFID and phenotypically similar presentations (e.g., eating disorders [EDs] such as anorexia nervosa [AN], and pediatric feeding disorder [PFD]), and (2) within‐ARFID heterogeneity. These questions have practical implications, including diagnostic reliability and treatment selection.MethodThis forum synthesizes the limited empirical classification literature seeking to quantitatively distinguish ARFID from non‐ARFID EDs or from PFD, and/or characterize within‐ARFID heterogeneity.ResultsTo our knowledge, only five studies in clinical samples have used empirical classification methods to delineate ARFID from non‐ARFID EDs and/or characterize within‐ARFID heterogeneity; no studies have used such methods to delineate ARFID from PFD. Existing studies are mixed in determining how well ARFID can be distinguished from other EDs (particularly AN), but converge in identifying several potential ARFID subclasses (i.e., sensory sensitivity, low appetite, feared eating‐related consequences, and subclass representing a combination of these) with some overlapping features.DiscussionThe existing ARFID empirical classification literature should guide future ARFID classification research priorities (e.g., incorporating mechanistic variables as classification indicators, incorporating longitudinal variables as classification validators) to inform differences between ARFID and other disorders and between ARFID presentations. Dimensional approaches to conceptualizing, studying, and modeling psychopathology (namely, the Hierarchical Taxonomy of Psychopathology [HiTOP] and the Research Domain Criteria [RDoC]) may offer useful insights.
Autistic people and those with attention deficit hyperactivity disorder are at a high risk of developing an eating disorder. While there is limited evidence on the relationship between other forms of neurodivergence and eating disorders, research suggests associations between giftedness, intellectual disability, obsessive–compulsive disorder, psychosis, Tourette’s syndrome, and disordered eating. Factors underlying disordered eating and/or eating disorder risk for neurodivergent people are multifaceted and complex, encompassing a wide range of intertwined psychosocial, environmental, and biological processes. Moreover, research shows that neurodivergent individuals experience poorer treatment outcomes compared to neurotypical individuals. However, there is a paucity of research in this area overall. More specifically, lived experience-led research remains rare, despite its critical role for improving individualised eating disorder care, as well as mental healthcare more broadly. Indeed, the importance of eating disorder care individuation is increasingly being recognised, particularly within the context of neurodivergence, given the heterogeneous experiences and support needs of neurodivergent people affected by disordered eating and/or eating disorders. Furthermore, despite documented overlaps between various forms of neurodivergence (e.g., co-occurring autism and attention deficit hyperactivity disorder), research looking at eating disorders in the context of neurodivergence through a transdiagnostic perspective is scarce. This lived experience-led narrative review aims to shed light on the intersectional factors underlying elevated disordered eating and/or eating disorder risk for neurodivergent individuals. First, an overview of prevalence data is provided, followed by a thematic framework identifying factors underlying disordered eating and/or eating disorder risk in relation to neurodivergence. A critical appraisal of current eating disorder research and care is then offered before suggestions for neurodiversity-affirming eating disorder care are made. In this view, this paper offers a foundation for future empirical work in this nascent field of inquiry by providing a lived experience-led, transdiagnostic, and intersectional account of eating disorders in the context of neurodivergence.
Background: Anorexia nervosa (AN) is a complex eating disorder that often requires inpatient care, where treatment experiences are influenced by both the illness and the surrounding environment. Sensory issues in AN are increasingly acknowledged for their impact on treatment engagement and outcomes. Despite this, the ways in which the sensory landscape of inpatient settings shapes patients’ lived experiences and meaning-making processes remain underexplored. Methods: This study employed collaborative sensory ethnography to explore how the sensory environment of an inpatient eating disorder ward shapes patients’ lived experiences. Drawing on multimodal and embodied approaches, a novel proof-of-concept method was developed, combining sensory-attuned guided reflection with AI-assisted visualization. This framework supported patients in exploring and articulating their embodied sensory experiences, linking their emotional and physical states to the ward’s sensory environment through metaphorical reasoning. Results: The findings reveal two central themes: a sense of entrapment within the illness and its treatment, and ambivalence toward both. The study highlights how the sensory environment and spatial layout of the ward amplify these experiences, demonstrating the tension between strict safety protocols and patients’ needs for agency and autonomy. Conclusions: This study illustrates the role of the sensory landscape in shaping treatment experiences and contributing to the broader lived experiences of individuals with AN. The experience of sensory cues in inpatient settings is closely intertwined with contextual and embodied meanings, often evoking complex feelings of entrapment and ambivalence toward both the illness and its treatment. These findings highlight the potential for holistic sensory and spatial adaptations in therapeutic interventions to alleviate such feelings and, consequently, improve patient engagement and well-being.
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