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Related Experiment Video

Updated: May 7, 2026

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
07:56

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Published on: September 19, 2019

How is affective instability defined and measured? A systematic review.

S Marwaha1, Z He1, M Broome1

  • 1Division of Mental Health and Wellbeing, Warwick Medical School,University of Warwick,Coventry,UK.

Psychological Medicine
|October 1, 2013
PubMed
Summary

Affective instability (AI) lacks a clear definition and consistent measurement in clinical research. This review proposes a definition and highlights the need for a new, validated AI assessment tool.

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Last Updated: May 7, 2026

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Published on: December 2, 2015

Area of Science:

  • Psychiatry and Clinical Psychology
  • Affective Science
  • Mental Health Research

Background:

  • Affective instability (AI) is a clinically significant but poorly defined construct.
  • Existing research lacks consensus on the precise definition and measurement of AI.

Purpose of the Study:

  • To systematically review and analyze the definitions and measures of affective instability used in clinical populations.
  • To identify gaps in current understanding and propose a refined definition and assessment strategy for AI.

Main Methods:

  • A systematic review adhering to PRISMA guidelines was conducted.
  • Searches included major databases (MEDLINE, Embase, PsycINFO, etc.) and hand searches of key journals.
  • Data from 37 selected empirical studies were narratively synthesized after quality appraisal.

Main Results:

  • Seven distinct definitions of AI were identified, alongside numerous related terms with overlapping features.
  • Twenty-four different measures were found, assessing facets like oscillation, intensity, regulation ability, and environmental triggers.
  • Significant overlap and lack of definitional clarity were observed across studies.

Conclusions:

  • A precise definition of AI is crucial for advancing clinical research and practice.
  • The proposed definition for AI is 'rapid oscillations of intense affect, with a difficulty in regulating these oscillations or their behavioural consequences'.
  • Current measures are insufficient; a combination is needed, alongside development of a new, validated short AI assessment tool.