Objective Intuitive eating is an adaptive style of eating that has generated significant
research attention. Theoretically, intuitive eating is a core construct that features prominently …

Most body image studies assess only linear relations between predictors and outcome
variables, relying on techniques such as multiple Linear Regression. These predictor …

Machine learning (ML) was used to develop classification models to predict individual tumor
patients' outcomes. Binary classification defined whether the tumor was malignant or benign …

Intuitive eating is an adaptive style of eating that has gained substantial research attention.
However, possible predictors and outcomes of intuitive eating are poorly understood, as …

Objective E‐therapy shows promise as a solution to the barriers that stand in the way of
people receiving eating disorder (ED) treatment. Despite the potential for e‐therapy to …

Abstract Background The Inflexible Eating Questionnaire (IEQ) is an 11-item instrument
designed to evaluate the behavioural and psychological components of inflexible eating …

Abstract Background Eating Disorders (EDs) are one of the most complex psychiatric
disorders, with significant impairment of psychological and physical health, and …

Background Many previous studies have investigated the risk factors associated with eating
disorders (EDs) from the perspective of emotion regulation (ER). However, limited research …

Eating disorders are severe mental illnesses characterized by the hallmark behaviors of
binge eating, restriction, and purging. These disordered eating behaviors carry extreme …

Background Anorexia nervosa (AN) and bulimia nervosa (BN), two subtypes of eating
disorders, often present diagnostic challenges due to their overlapping symptoms. Machine …