Rank perception and self-evaluation in eating disorders
Abstract
OBJECTIVES: Heightened sensitivity to social comparison and negative self-evaluation have been implicated in the development and maintenance of eating disorders (EDs). This study used behavioral tasks, as well as self-report measures, to examine processing of social rank-related cues and implicit self-concept in participants with EDs.
METHOD: Fifty healthy participants (HCs), 46 people with an ED, and 22 people recovered from an ED (REC) undertook an attentional bias task using social rank-related cues and an implicit self-evaluation task. In addition, they completed self-report measures of social comparison, submissive behavior, and shame.
RESULTS: People with EDs showed vigilance toward social rank-related stimuli and lower implicit positive self-evaluation than HCs. Self-report data confirmed the behavioral findings and showed that people with EDs had higher levels of unfavorable social comparison, submissive behaviors, and external and internal shame than HCs. People who had recovered from an ED showed an intermediate profile between the two groups.
DISCUSSION: People with EDs have heightened sensitivity to social rank-related cues and impaired self-evaluation at an automatic level of processing. Some of these biases remain in people who have recovered. Interventions which aim to remediate social threat sensitivity and negative bias about self and others might be of benefit in EDs.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.