Showing papers by "Payton J. Jones published in 2019"

Core psychopathology of treatment-seeking patients with binge-eating disorder: a network analysis investigation

Abstract: BackgroundMental disorders may emerge as the result of interactions between observable symptoms. Such interactions can be analyzed using network analysis. Several recent studies have used network analysis to examine eating disorders, indicating a core role of overvaluation of weight and shape. However, no studies to date have applied network models to binge-eating disorder (BED), the most prevalent eating disorder.MethodsWe constructed a cross-sectional graphical LASSO network in a sample of 788 individuals with BED. Symptoms were assessed using the Eating Disorders Examination Interview. We identified core symptoms of BED using expected influence centrality.ResultsOvervaluation of shape emerged as the symptom with the highest centrality. Dissatisfaction with weight and overvaluation of weight also emerged as highly central symptoms. On the other hand, behavioral symptoms such as binge eating, eating in secret, and dietary restraint/restriction were less central. The network was stable, allowing for reliable interpretations (centrality stability coefficient = 0.74).ConclusionsOvervaluation of shape and weight emerged as core symptoms of BED. This trend is consistent with past network analyses of eating disorders more broadly, as well as literature that suggests a primary role of shape and weight concerns in BED. Although DSM-5 diagnostic criteria for BED does not currently include a cognitive criterion related to body image or shape/weight overvaluation, our results provide support for including shape/weight overvaluation as a diagnostic specifier.

An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes:

Abstract: Across 50 years of research, extensive efforts have been made to improve the effectiveness of psychotherapies for children and adolescents. Yet recent evidence shows no significant improvement in y...

Posttraumatic Stress Disorder Near and Far: Symptom Networks From 2 to 12 Months After the Virginia Tech Campus Shootings:

Abstract: Posttraumatic stress disorder (PTSD) is unique in its longitudinal focus. To better understand how PTSD develops, we used network analysis in a longitudinal sample of survivors of the 2008 Virginia...

Network Model Trees

Abstract: In many areas of psychology, correlation-based network approaches (i.e., psychometric networks) have become a popular tool. In this paper we define a statistical model for correlation-based networks and propose an approach that recursively splits the sample based on covariates in order to detect significant differences in the network structure. We adapt model-based recursive partitioning and conditional inference tree approaches for finding covariate splits in a recursive manner. This approach is implemented in the networktree R package. The empirical power of these approaches is studied in several simulation conditions. Examples are given using real-life data from personality and clinical research.