Implicit Association Test

The goal of this cross - sectional observational study is to improve understanding of the psychological and cognitive characteristics of Feeding and Eating Disorders (FEDs), a group of conditions that represent a growing public health concern due to their significant impact on physical health, emotional well-being, and everyday functioning. Within this broader diagnostic category, particular attention is given to Avoidant/Restrictive Food Intake Disorder (ARFID), a diagnosis introduced in the DSM-5 and still relatively underexplored compared to other feeding and eating disorders. Despite its clinical relevance, ARFID remains less well understood in terms of its underlying cognitive and psychological mechanisms. Individuals with ARFID often experience severe food avoidance or restriction that is not driven by weight or shape concerns, but rather by sensory sensitivities, fear of negative consequences of eating, or a lack of interest in food. For this reason, investigating ARFID can offer important insights into the diversity of mechanisms involved in feeding and eating disorders as a whole. The study has two main objectives. The first objective is to examine the cognitive profile of individuals with ARFID, with a specific focus on autistic traits and cognitive flexibility, as previous research suggests potential overlaps between ARFID and neurodevelopmental conditions such as Autism Spectrum Disorders. Cognitive flexibility refers to the ability to adapt thoughts and behaviors in response to changing situations, and reduced flexibility may contribute to rigid eating patterns and food avoidance. The second objective is to explore the role of body representation (how individuals perceive and mentally represent their own body) and inhibitory control (the ability to regulate or suppress automatic responses) in shaping the cognitive and behavioral features of ARFID and other feeding and eating disorders. These processes may help distinguish ARFID from other diagnoses and clarify shared and disorder-specific mechanisms across the FED spectrum. The study involves adult participants of all genders, including individuals diagnosed with ARFID, anorexia nervosa, and bulimia nervosa, as well as healthy control participants without a history of feeding or eating disorders. This design allows meaningful comparisons between different diagnostic groups and with the general population. The main questions the study aims to answer are: Do individuals with ARFID show a distinct cognitive profile, particularly in terms of autistic traits and cognitive flexibility, compared to individuals with other feeding and eating disorders and healthy controls? How do body representation and inhibitory control contribute to differences in eating-related behaviors across feeding and eating disorders? Are there differences in brain activity associated with implicit, automatic attitudes toward food in individuals with feeding and eating disorders compared to healthy individuals? Where comparison groups are included, researchers will compare participants with ARFID, anorexia nervosa, bulimia nervosa, and healthy controls to examine differences in cognitive functioning, psychological characteristics, and neural responses related to food processing. Participants will be asked to take part in a series of non-invasive and well-established research activities, designed to be accessible and safe. These include: Completing self-report questionnaires assessing autistic traits, body image perception, and general psychological well-being; Performing computer-based tasks that assess cognitive flexibility and decision-making; Completing behavioral tasks designed to measure inhibitory control and automatic associations with food-related stimuli;

In 2007 Nock \& Banaji developed a so-called implicit suicide risk measurement using a computer tool: the Implicit Association Test (IAT). This measurement, associated with traditional evaluations, makes it possible to better predict suicidal recurrence. In 2020, the Poitiers team of Tello was able to replicate these results on a French population. However, although a high IAT score predicts the onset of suicide at 1 year, there is no data on how this score changes over time nor even data concerning the measure's ability to differentiate a population with explicit suicidal ideation from a population without explicit suicidal ideation. The investigators therefore seek to demonstrate an evolution of implicit suicidal ideation over time by replicating the measurement at inclusion, at 6 months and at 12 months, for different patient profiles: Suicidal ideation vs No suicidal ideation and suicide attempt vs no suicide attempt. Patients will be recruited from the emergency-unit of CHU Amiens-Picardie and will take the suicide-IAT as well as various questionnaires.