Literature DB >> 30149337

Affective instability in those with and without mental disorders: A case control study.

Steven Marwaha1, Charlotte Price2, Jan Scott3, Scott Weich4, Aimee Cairns5, Jeremy Dale6, Catherine Winsper5, Matthew R Broome7.   

Abstract

BACKGROUND: Affective instability (AI) is transdiagnostic, and associated with suicidality and healthcare use. It has rarely been compared between diagnoses or to controls. We investigated: whether AI differs between clinical cases and controls and between diagnoses; how different AI components are correlated; and whether AI is associated with functioning in clinical cases.
METHODS: Cases (N = 69) from psychiatric services had a diagnosis of borderline personality disorder, bipolar disorder, major depression or psychosis and were compared to primary care controls (N = 25). Participants completed the affective lability scale (ALS), affective intensity measure (AIM), affective control scale (ACS), scored mood fluctuation rate and the WHO-DAS.
RESULTS: There was a significant difference in affective lability between cases and controls and across diagnostic groups (p < 0.001). Compared to controls, cases showed lower affective control (p < 0.05). There were no differences in affective intensity between cases and controls or between diagnostic groups, or in mood fluctuation rate between groups. ALS score (p < 0.001), and total number of medications (p < 0.046), were associated with functioning, independent of diagnosis. LIMITATIONS: The sample size was modest. Cases were not in an acute illness episode and this could bias estimates of group difference towards the null.
CONCLUSION: Individuals with mental disorder demonstrate higher levels of affective lability and lower affect control than those without mental disorder. In contrast affective intensity may not be useful in demarcating abnormal affective experience. Independent of diagnosis, affective instability, as measured by affect lability, adversely impacts day-to-day functioning. It could be an important target for clinical intervention.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Affective instability; Bipolar disorder; Depression; Functioning; Mood instability

Mesh:

Year:  2018        PMID: 30149337     DOI: 10.1016/j.jad.2018.08.046

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  5 in total

1.  Impact of humanized nursing care on negative emotions and quality of life of patients with mental disorders.

Authors:  Liping Bao; Congcong Shi; Jing Lai; Yan Zhan
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

2.  Explaining why childhood abuse is a risk factor for poorer clinical course in bipolar disorder: a path analysis of 923 people with bipolar I disorder.

Authors:  Steven Marwaha; Paul M Briley; Amy Perry; Phillip Rankin; Arianna DiFlorio; Nick Craddock; Ian Jones; Matthew Broome; Katherine Gordon-Smith; Lisa Jones
Journal:  Psychol Med       Date:  2019-09-18       Impact factor: 7.723

3.  Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence.

Authors:  Daniel Zarate; Vasileios Stavropoulos; Michelle Ball; Gabriel de Sena Collier; Nicholas C Jacobson
Journal:  BMC Psychiatry       Date:  2022-06-22       Impact factor: 4.144

4.  Affective lability across psychosis spectrum disorders.

Authors:  Margrethe Collier Høegh; Ingrid Melle; Sofie R Aminoff; Jannicke Fjæra Laskemoen; Camilla Bakkalia Büchmann; Torill Ueland; Trine Vik Lagerberg
Journal:  Eur Psychiatry       Date:  2020-05-06       Impact factor: 5.361

5.  Digital Phenotyping in Bipolar Disorder: Which Integration with Clinical Endophenotypes and Biomarkers?

Authors:  Laura Orsolini; Michele Fiorani; Umberto Volpe
Journal:  Int J Mol Sci       Date:  2020-10-16       Impact factor: 5.923

  5 in total

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