Refining the classification of children with selective mutism: a latent profile analysis

J Clin Child Adolesc Psychol. 2008 Oct;37(4):770-84. doi: 10.1080/15374410802359759.

Abstract

The goal of this study was to develop an empirically derived classification system for selective mutism (SM) using parent-report measures of social anxiety, behavior problems, and communication delays. The sample consisted of parents of 130 children (ages 5-12) with SM. Results from latent profile analysis supported a 3-class solution made up of an anxious-mildly oppositional group, an anxious-communication delayed group, and an exclusively anxious group. Follow-up tests indicated significant group differences on measures of SM symptom severity, externalizing problems, and expressive/receptive language abilities. These results suggest that, although social anxiety is typically a prominent feature of SM, children with the disorder are also likely to present with communication delays and/or mild behavior problems.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety Disorders / classification
  • Anxiety Disorders / diagnosis
  • Anxiety Disorders / psychology
  • Attention Deficit and Disruptive Behavior Disorders / classification
  • Attention Deficit and Disruptive Behavior Disorders / diagnosis
  • Attention Deficit and Disruptive Behavior Disorders / psychology
  • Child
  • Child Behavior Disorders / classification
  • Child Behavior Disorders / diagnosis
  • Child Behavior Disorders / psychology
  • Child, Preschool
  • Comorbidity
  • Female
  • Humans
  • Internal-External Control
  • Language Development Disorders / classification
  • Language Development Disorders / diagnosis
  • Language Development Disorders / psychology
  • Male
  • Mutism / classification
  • Mutism / diagnosis*
  • Mutism / psychology
  • Personality Assessment / statistics & numerical data
  • Phobic Disorders / classification
  • Phobic Disorders / diagnosis*
  • Phobic Disorders / psychology
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Risk Factors