Acceptance of shame and embarrassment: Scale development and initial findings in a clinical sample

Neda Sedighimornani, Katharine E. Rimes, Bas Verplanken, Jeremy Gauntlett-Gilbert

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)
562 Downloads (Pure)

Abstract

Objectives: The ability to accept painful feelings is associated with decreased distress and better functioning. We set out to design an instrument that specifically measures acceptance of shame and embarrassment, as this may be important for the social functioning and mood of people with chronic conditions. Methods: An item set was presented to 415 non-clinical adults and to 200 people with chronic pain. Item and factor analysis were used in the creation of an instrument; the reliability and validity of this instrument were examined. Regression analysis was used to examine the ability of this instrument to predict social functioning and mood in the clinical group. Results: A 17-item unifactorial instrument was created that had good psychometric properties in both groups (theAcceptanceofShameandEmbarrassment Scale,ASES).Itcorrelatedwithothermeasuresofacceptance, and of social discomfort. It had specific predictive power in the prediction of social functioning and mood in the clinical group. Conclusions: The ASES is a reliable and valid instrument measuring the ability to accept shame and embarrassment. This ability is associated with better social functioning and mood in people with chronic pain; this form of acceptance should be targeted in treatment.
Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalJournal of Contextual Behavioral Science
Volume12
Early online date3 Jan 2019
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Acceptance
  • Shame
  • Chronic pain
  • Mindfulness

ASJC Scopus subject areas

  • General Psychology

Fingerprint

Dive into the research topics of 'Acceptance of shame and embarrassment: Scale development and initial findings in a clinical sample'. Together they form a unique fingerprint.

Cite this