Personality dimensions among women with an eating disorder: towards reconceptualizing DSM

Eur Eat Disord Rev. 2009 Jul;17(4):281-9. doi: 10.1002/erv.938.

Abstract

Objective: To evaluate the incremental validity of a dimensional assessment of personality, after controlling for diagnostic category, in accounting for meaningful variation in eating disorder attitudes and behaviours and in current affective distress among a clinical sample of eating disordered women.

Methods: 244 treatment seeking eating disordered women and 116 non-eating disordered women were assessed with the NEO five factor inventory (NEO-FFI), and with measures of eating disorder attitudes and of affective distress using a cross sectional design.

Results: As predicted, differences were found between eating disordered and non-eating disordered women on several NEO-FFI scales, which provided a context for subsequent analyses. NEO-FFI scales accounted for meaningful variation in eating disordered attitudes and behaviours as well as in levels of current affective distress over and above DSM-IV diagnostic category.

Conclusion: A flexible approach to diagnosis, which includes personality dimensions along with a description of eating disorder symptoms, may result in a more inclusive and useful diagnostic scheme for treating women with eating disorders.

MeSH terms

  • Adolescent
  • Adult
  • Affective Symptoms / classification
  • Affective Symptoms / diagnosis
  • Affective Symptoms / psychology
  • Anorexia Nervosa / classification
  • Anorexia Nervosa / diagnosis
  • Anorexia Nervosa / psychology
  • Attitude to Health
  • Bulimia Nervosa / classification
  • Bulimia Nervosa / diagnosis
  • Bulimia Nervosa / psychology
  • Character
  • Cross-Sectional Studies
  • Diagnostic and Statistical Manual of Mental Disorders*
  • Feeding Behavior
  • Feeding and Eating Disorders / classification
  • Feeding and Eating Disorders / diagnosis
  • Feeding and Eating Disorders / psychology*
  • Female
  • Humans
  • Personality Inventory / statistics & numerical data*
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Young Adult