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The purpose of this study is to test the therapeutic effects of a computerized attention training for patients with Anorexia Nervosa (AN). The primary aim is to determine if a computerized attention training can modify attention towards food and ameliorate eating disorder symptoms and related difficulties, such as anxiety. The secondary aim is to explore underlying mechanisms that contribute to these improvements. The stability of potentially observed effects over a one-month period will also be determined.
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Recently, attention bias modification (ABM) has successfully been applied in the field of anxiety disorders and emerging evidence suggests that attention bias modification can ameliorate attention bias for threatening stimuli. ABM is based on the premise that if biased attention maintains disorder symptoms, a modification of the bias should reduce symptoms. The advantage of ABM is that it operates implicitly, thereby offering a more indirect, less deliberate procedure. This requires less cognitive control compared to the effortful and explicit psychotherapeutic treatment of cognitive biases. As food-related fears and avoidance in AN patients have been recognized as important anxiety-related symptoms, ABM seems particularly suitable to treat food-related fears and avoidance, especially because AN patients might be unaware of their avoidance strategy. The aim of this study is to test if food-related fears and food avoidance can be changed by experimentally modifying attention towards food in Anorexia Nervosa patients using an innovative computerized training paradigm (computerized attention training - CAT) and to evaluate related change in symptoms.
The investigators hypothesize that the active CAT will change attentional processing of food cues (research aim 1), transfer to changes in food-related fears and food avoidance, and to improvements in AN symptoms and weight in the short term (research aim 2) and longer term (research aim 3).
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50 participants in 2 patient groups, including a placebo group
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Ulrike Schmidt, PhD; Jessica Werthmann, PhD
Data sourced from clinicaltrials.gov
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