Empirical validation of a developmental model for binge-eating disorder in adolescents: a structural equation modeling approach.

Empirical validation of a developmental model for binge-eating disorder in adolescents: a structural equation modeling approach.

Clermont, Camille; Rodrigue, Christopher; Bégin, Catherine
journal of eating disorders 2025 Vol. 13 pp. 79
44
clermont2025empirical

Abstract

Loss of control (LOC) eating is characterized by a reported sense of being unable to control food intake, regardless of the amount of food consumed. It is the hallmark feature of binge-eating episodes, which involve consuming an unusually large amount of food within a discrete time frame, accompanied by a sense of LOC over eating. Some studies investigating the progression of LOC-eating symptoms in children and adolescents suggest that LOC-eating may be a precursor to binge-eating disorder (BED) in adults. To explain the progression from LOC-eating in childhood and adolescence to BED in adulthood, Tanofsky-Kraff and her colleagues developed a theoretical model highlighting three main constructs: negative affectivity, reward sensitivity, and executive functioning. However, a thorough empirical validation of this model has not yet been performed. The current study aims to empirically test Tanofsky-Kraff and her colleagues' model via structural equation modeling (SEM) and explore potential gender and age differences within this framework. We surveyed 969 adolescents aged 12 to 18 years from the Quebec City area who completed self-report questionnaires. Our findings revealed that both negative affectivity and reward sensitivity are significantly associated with binge-eating symptomatology, whereas self-reported executive functioning is not significantly associated with binge-eating symptomatology. These results support several key components of the proposed model and provide insights into the interactions between the variables when tested simultaneously. Additionally, our study underscores the importance of considering individual factors such as age and gender in understanding binge-eating symptomatology.

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