Subtyping dietary restraint and negative affect in a longitudinal community sample of girls

Int J Eat Disord. 2009 Apr;42(3):275-83. doi: 10.1002/eat.20661.

Abstract

Objective: This study tests the validity of the "dietary-depressive" subtype (typified by greater negative affect) and a "dietary" subtype (typified by dietary restraint only) using a diverse longitudinal community sample.

Method: Girls at ages 10, 12, and 14 completed the Child Eating Attitudes Test, the Child Symptom Inventory-4, and Body Image Measure. Body Mass Index was assessed at each age.

Results: Unlike previous studies, cluster analysis revealed an at-risk "dietary-depressive" (R+) subtype (18.7%,100/534) and a not at-risk (R-) subtype, distinguished by few depressive symptoms and little dietary restraint (81.3%,434/534), but no "dietary" subtype. When compared with the R- subtype, the R+ subtype had significantly greater eating disordered behavior and attitudes. The R+ subtype at age 10 was a risk factor for binge-eating but not obesity at ages 12 and 14.

Discussion: Dietary restraint and depressive symptoms combined predict binge-eating longitudinally in a diverse community sample of girls.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Affect*
  • Body Image
  • Body Mass Index
  • Bulimia Nervosa / diagnosis
  • Bulimia Nervosa / epidemiology
  • Bulimia Nervosa / psychology
  • Child
  • Cluster Analysis
  • Depressive Disorder / diagnosis
  • Depressive Disorder / epidemiology
  • Depressive Disorder / psychology*
  • Diet, Reducing / psychology*
  • Educational Status
  • Feeding Behavior
  • Feeding and Eating Disorders / classification*
  • Feeding and Eating Disorders / diagnosis
  • Feeding and Eating Disorders / epidemiology
  • Feeding and Eating Disorders / psychology*
  • Female
  • Humans
  • Longitudinal Studies
  • Obesity / diagnosis
  • Obesity / epidemiology
  • Obesity / psychology
  • Predictive Value of Tests
  • Psychiatric Status Rating Scales
  • Risk Factors
  • Socioeconomic Factors