Introduction: Despite the high mortality and significant societal and personal costs associated with eating disorders (EDs) there are few evidence-based treatments. Part of the difficulty developing and implementing evidence-based treatments in EDs is due to the extremely high heterogeneity (e.g., variability in treatment outcome, symptom presentation etc) present.
Methods: To begin to identify specific symptom heterogeneity within persons, the current study used novel within and between group and intra-individual network analyses to create longitudinal and within-person networks of ED cognitions and behaviors (N = 66 individuals diagnosed with an ED). This article provides a proof of concept study for how to use between and within-person network analyses both for the EDs and other forms of psychopathology.
Results: We found that cognitions focused on desiring thinness played a likely maintaining role in ED pathology, across network type and across time. Furthermore, we showed that three individuals with the same diagnosis (anorexia nervosa) differed in which symptoms maintained the disorder. We use these participants to exemplify how to use intra-individual network analysis to personalize treatment focused on the primary maintaining symptoms. Finally, we found that amount of time (e.g., 4 hr vs. simultaneously) impacts how symptoms maintain each other.
Conclusions: These findings have implications for the development of novel personalized evidence-based treatments for EDs, as well as implications for how the field understands how psychopathology maintains itself. These data represent a first-step towards using intra-individual network analyses in the ED field, as well as for hypotheses generation in future research.
Keywords: anorexia nervosa; eating disorders; network analysis; personalized treatment.
© 2018 Wiley Periodicals, Inc.