Behavioural data analysis
eating behaviour, impulsivity, eating disorder
REGRESSION, PATHOLOGY
For every statistical test, a significance level of 5% was used. To check for the efficacy of the training intervention, paired For the second hypothesis, multivariate linear regression was conducted. An individual bias of the manual actions for each patient was calculated by the difference of the ball standardized reaction times of food objects and the ball standardized reaction times of office tools:(RTThose individual biases were used as a predictor variable for the different markers of eating disorder pathology (EDE), eating behaviour (TFEQ), food craving (FCQ-S) and impulsivity (BIS-15, UPPS) at For the third hypothesis, the approach of the second hypothesis was used. However, a difference score between 