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Introducing the Emotions‐Affect Systems Elicitation (EASEL‐3) Index: A New Tool for Measuring Affect Regulation Systems' Activation.

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Title: Introducing the Emotions‐Affect Systems Elicitation (EASEL‐3) Index: A New Tool for Measuring Affect Regulation Systems' Activation.
Authors: Pinto, Ana Margarida (AUTHOR), Figueiredo, Claúdia (AUTHOR), Geenen, Rinie (AUTHOR), Castilho, Paula (AUTHOR), da Silva, José A. P. (AUTHOR), Morris, Eric M. J. (AUTHOR), Vanderhasselt, Marie‐Anne (AUTHOR), Kelly, Allison C. (AUTHOR), Naismith, Iona (AUTHOR), Ferreira, Nuno (AUTHOR), Barnow, Sven (AUTHOR), Eickhoff, Simon B. (AUTHOR), Lincoln, Tania (AUTHOR), Shahar, Ben (AUTHOR), Ottaviani, Cristina (AUTHOR), Petrocchi, Nicola (AUTHOR), Matthijssen, Suzy Johanna Martina Adriana (AUTHOR), van Middendorp, Henriët (AUTHOR), Wieser, Matthias J. (AUTHOR), Barros, Filipa (AUTHOR)
Source: Clinical Psychology & Psychotherapy. Jul/Aug2025, Vol. 32 Issue 4, p1-17. 17p.
Subjects: Emotion regulation, Statistical correlation, Mental health, Research funding, Research methodology evaluation, Emotions, Descriptive statistics, Experimental design, Motivation (Psychology), Research methodology, Psychological stress, Research, Affect (Psychology), Human comfort
Abstract: Objective: Although emotions pervade and influence individual and interpersonal functioning and well‐being, their nature and taxonomy remain a bone of contention. The 'three‐circle' model, comprising three dynamically interacting affect regulation systems (i.e., threat, drive, and soothing), provides a useful framework for aggregating emotions and understanding emotion (dys)regulation while closely supporting therapeutic intervention. Imbalances in the activation and (inter)action of these affect regulation systems have been implicated in a wide range of physical and mental disorders; however, there are currently no tools for quantifying each system's activation. The aim of this study was to develop a novel index of the three affect regulation systems: threat, drive and soothing. Method: Three independent expert panels, composed of researchers in the 'three‐circle' model, researchers in the field of affective science, and clinicians (N = 70), estimated the degree of activation of each affect regulation system induced by discrete emotions. Results: Overall, agreement among experts was high regarding the emotions that mapped primarily onto each affect regulation system and the degree of the corresponding activation. These results constitute the basis for the Emotions‐Affect Systems ELicitation Index (EASEL‐3) index, which provides a continuous score of the estimated activation of the three systems. Conclusion and Discussion: Although in need of field testing, the EASEL‐3 index may prove valuable in research and clinical settings, opening new avenues on the measurement of the affect regulation systems, their correlates and associated outcomes, helping characterize and compare activation patterns across clinical populations and contexts, and informing the assessment and personalization of interventions. Summary: Aggregating emotions into functional systems is a promising approach to this challenging field of study.Gilbert's three‐circle model—threat, drive, soothing—provides a useful framework for this purpose.A novel tool to estimate the activation of each system—the Emotions‐Affect Systems ELicitation (EASEL‐3) index—is presented.This tool may foster both assessments and interventions targeting affect regulation. [ABSTRACT FROM AUTHOR]
Copyright of Clinical Psychology & Psychotherapy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Introducing the Emotions‐Affect Systems Elicitation (EASEL‐3) Index: A New Tool for Measuring Affect Regulation Systems' Activation.
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  Data: <searchLink fieldCode="DE" term="%22Emotion+regulation%22">Emotion regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Affect+%28Psychology%29%22">Affect (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Human+comfort%22">Human comfort</searchLink>
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  Data: Objective: Although emotions pervade and influence individual and interpersonal functioning and well‐being, their nature and taxonomy remain a bone of contention. The 'three‐circle' model, comprising three dynamically interacting affect regulation systems (i.e., threat, drive, and soothing), provides a useful framework for aggregating emotions and understanding emotion (dys)regulation while closely supporting therapeutic intervention. Imbalances in the activation and (inter)action of these affect regulation systems have been implicated in a wide range of physical and mental disorders; however, there are currently no tools for quantifying each system's activation. The aim of this study was to develop a novel index of the three affect regulation systems: threat, drive and soothing. Method: Three independent expert panels, composed of researchers in the 'three‐circle' model, researchers in the field of affective science, and clinicians (N = 70), estimated the degree of activation of each affect regulation system induced by discrete emotions. Results: Overall, agreement among experts was high regarding the emotions that mapped primarily onto each affect regulation system and the degree of the corresponding activation. These results constitute the basis for the Emotions‐Affect Systems ELicitation Index (EASEL‐3) index, which provides a continuous score of the estimated activation of the three systems. Conclusion and Discussion: Although in need of field testing, the EASEL‐3 index may prove valuable in research and clinical settings, opening new avenues on the measurement of the affect regulation systems, their correlates and associated outcomes, helping characterize and compare activation patterns across clinical populations and contexts, and informing the assessment and personalization of interventions. Summary: Aggregating emotions into functional systems is a promising approach to this challenging field of study.Gilbert's three‐circle model—threat, drive, soothing—provides a useful framework for this purpose.A novel tool to estimate the activation of each system—the Emotions‐Affect Systems ELicitation (EASEL‐3) index—is presented.This tool may foster both assessments and interventions targeting affect regulation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Clinical Psychology & Psychotherapy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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