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Trajectories of Suicidal Risk Impact Mood Regulation Differently in Patients With a Diagnosis of Bipolar Disorder
Department of Psychiatry, Faculty of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA, US.; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, CA.; Centre for Addiction and Mental Health (CAMH), Campbell Family Research Institute, Toronto, Ontario, Canada, CA.
Department of Psychiatry, Faculty of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA, US.
Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, CA.; Centre for Addiction and Mental Health (CAMH), Campbell Family Research Institute, Toronto, Ontario, Canada, CA.
Department of Psychiatry, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada, CA.
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2026 (English)In: Acta Psychiatrica Scandinavica, ISSN 0001-690X, E-ISSN 1600-0447, Vol. 154, no 1, p. 60-73Article in journal (Refereed) Published
Sustainable development
SDG 3: Good health and well-being
Abstract [en]

BACKGROUND: Bipolar disorder (BD) carries a suicide risk 20 times higher than the general population, with up to 60% of patients attempting suicide. Current interventions have failed to reduce its incidence; static factors have shown limited predictive utility. Emerging evidence suggests dynamic monitoring approaches may offer complementary value. This study examined whether quantifiable differences in mood regulation patterns exist across the suicidality continuum among patients diagnosed with BD.

METHOD: We analyzed daily self-reported mood, anxiety, and energy levels from 164 participants recruited from two Canadian academic hospitals (April 2021-August 2024). Participants were stratified into six groups based on suicide attempt history, current polarity, and active suicidality status. Using time-series analysis, we computed autocorrelation and cross-correlation functions to examine temporal relationships within and between variables across 1-7 day lags. Data comprised 64,351 valid observations over 461.5 ± 236.6 days of follow-up.

RESULTS: Participants with the highest suicide risk (previous attempt, in a current depressive episode with active suicidality) demonstrated significantly higher day-to-day autocorrelation compared to the lowest-risk participants (no prior attempts and currently euthymic) for mood (0.53 vs. 0.29, p = 0.01), energy (0.52 vs. 0.23, p = 0.02), and anxiety series (0.55 vs. 0.32, p = 0.04). Cross-correlation analysis revealed mood-energy decoupling during active suicidality; as well as a stronger negative mood-anxiety correlation in those with a prior attempt, even during euthymia.

CONCLUSION: Higher autocorrelation patterns are indicative of a pathologically stable mood regulation in high-risk individuals, potentially serving as dynamic biomarkers for suicide risk stratification and targeted intervention development. Our findings demonstrate that a more aggressive approach to treating comorbid anxiety may be essential for reducing the risk of future attempts. They also challenge traditional conceptualizations equating euthymia with the absence of suicide risk, suggesting neurobiological vulnerability despite symptomatic remission.

Place, publisher, year, edition, pages
2026. Vol. 154, no 1, p. 60-73
Keywords [en]
bipolar disorder, mood regulation, suicidal behavior, time‐series analysis
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:du-53294DOI: 10.1111/acps.70094ISI: 001731014400001PubMedID: 41924933Scopus ID: 2-s2.0-105034861601OAI: oai:DiVA.org:du-53294DiVA, id: diva2:2051666
Available from: 2026-04-09 Created: 2026-04-09 Last updated: 2026-06-16Bibliographically approved

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