JOURNAL ARTICLE

Exploring Emotional Recovery From Anger in Individuals With Borderline Personality Disorder: The Role of Respiratory Sinus Arrhythmia as a Potential Physiological Mechanism.

  • Published In: Journal of Personality Disorders, 2025, v. 39, n. 5. P. 418 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sheu, Jia-Horng; Liu, I-Chao; Yeh, Zai-Ting 3 of 3

Abstract

Difficulties in emotional regulation are central to borderline personality disorder (BPD), which is characterized by heightened emotional reactivity and prolonged recovery from anger, often exacerbated by rumination. In this study, we examine the role of respiratory sinus arrhythmia (RSA) as a vital indicator of parasympathetic nervous system activity in BPD patients exposed to anger-inducing films. We recruited 35 BPD patients and 35 healthy controls, collecting self-reported emotional symptoms and physiological data during baseline, induction, recovery, and relaxation sessions. The findings revealed that BPD participants exhibited significantly slower RSA recovery from anger, underscoring its critical role in emotional regulation. Furthermore, relaxation techniques were found to enhance emotional recovery, suggesting that lower parasympathetic activation during anger makes individuals with BPD more susceptible to intense emotions. This study highlights the importance of RSA in understanding the emotional recovery process in BPD. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Personality Disorders. 2025/10, Vol. 39, Issue 5, p418
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0885-579X
  • DOI:10.1521/pedi.2025.39.5.418
  • Accession Number:188861432
  • Copyright Statement:Copyright of Journal of Personality Disorders is the property of Guilford Publications Inc. 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.