Factor analysis of the stigma scale-child in pediatric inflammatory bowel disease

J Psychosom Res. 2023 Jan:164:111095. doi: 10.1016/j.jpsychores.2022.111095. Epub 2022 Nov 24.

Abstract

Objective: Illness stigma, or perceived stigma related to a chronic health condition, is pervasive among youth with inflammatory bowel disease (IBD). However, no studies exist examining the psychometric properties of illness stigma measures in this population. Using a modified version of the Child Stigma Scale originally developed for youth with epilepsy, the current study investigated the factor structure and validity of this adapted measure (i.e., Stigma Scale - Child; SS-C) in youth with IBD.

Methods: Factor analyses were conducted to determine the most parsimonious factor structure for the adapted 8-item Stigma Scale - Child in a sample of 180 youth with IBD. Correlations were conducted to assess convergent validity, and a multiple regression was conducted to further evaluate the measure's predictive validity of child depressive symptoms.

Results: The most parsimonious model for the SS-C is a one-factor solution with an error covariance between the two items assessing concealment/disclosure of IBD diagnosis.

Conclusions: The SS-C is a psychometrically sound illness stigma measure in pediatric IBD that demonstrates strong convergent validity with psychosocial adjustment factors such as thwarted belongingness, illness uncertainty, and illness intrusiveness, as well as strong predictive validity with youth depressive symptoms. The SS-C is a viable option for use as a brief screener in youth with IBD across clinical and research settings.

Keywords: Convergent validity; Factor analysis; Illness stigma; Measure validation; Pediatric inflammatory bowel disease (IBD); Predictive validity.

Publication types

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

MeSH terms

  • Adolescent
  • Child
  • Disclosure
  • Factor Analysis, Statistical
  • Humans
  • Inflammatory Bowel Diseases* / psychology
  • Psychometrics
  • Reproducibility of Results
  • Social Stigma
  • Surveys and Questionnaires