Identifying predictors associated with the severity of eating concerns in females with eating disorders

  • Stefania Cella Observatory on Eating Disorders, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy.
  • Annarosa Cipriano Observatory on Eating Disorders, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy.
  • Mara Iannaccone Observatory on Eating Disorders, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy.
  • Paolo Cotrufo | paolo.cotrufo@unina2.it Observatory on Eating Disorders, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy.

Abstract

Considering how to improve efficacy of therapeutic strategies, the overall objective of the present study was to investigate the extent of eating concerns and to identify predictors associated with the severity of disordered eating symptomatology among people with eating pathologies. We screened 80 female eating disordered patients, ranging from 13 to 40 years, by means of self-report measures of parental behavior as perceived by the offspring, self-esteem, perfectionism, body shame and eating disorder severity. Self-reported weight and height were obtained. The diagnosis of bulimia nervosa resulted to be associated with a greater severity of the eating symptomatology. Maladaptive perfectionism, body shame and self-esteem, significantly predicted the level of eating concerns. The recognition of potential maintaining factors may support the choice of particular therapeutic strategies to improve the treatment of eating pathologies and their outcomes.

Downloads

Download data is not yet available.
Published
2017-04-13
Keywords:
Eating disorders, Parental bonding, Self-esteem, Perfectionism, Body shame
Statistics
Abstract views: 1096

PDF: 373
HTML: 783
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Cella, S., Cipriano, A., Iannaccone, M., & Cotrufo, P. (2017). Identifying predictors associated with the severity of eating concerns in females with eating disorders. Research in Psychotherapy: Psychopathology, Process and Outcome, 20(1). https://doi.org/10.4081/ripppo.2017.199