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2025-02-01

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cc-by (c) Oliva, Vincenzo et al., 2025
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/224807

Highest correlations between emotion regulation strategies and mood symptoms in bipolar disorder: A systematic review and Bayesian network meta-analysis

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https://doi.org/10.1016/j.neubiorev.2024.105967

Abstract

Bipolar disorder (BD) is associated with alterations in emotion regulation (ER) strategies, with both depressive and (hypo)manic symptoms correlated with utilization of maladaptive instead of adaptive strategies. However, which ER strategies are the most affected during the most severe mood symptoms remains unclear despite the potentially relevant treatment implications. To this end, we conducted a systematic review and Bayesian network meta-analysis (NMA) of studies documenting correlations between ER and depressive and (hypo)manic symptoms of BD, from inception until November 9th, 2023. We included 15 studies in the review, 14 of which provided data to conduct a Bayesian NMA. Rumination emerged as the ER strategy most strongly associated with both depressive (ES=0.43, 95%CrI=0.27,0.59) and (hypo)manic symptoms (ES=0.26, 95%CrI=0.05,0.46) of BD. Other ER strategies showed associations primarily with depressive symptoms. There was no significant heterogeneity or network inconsistency. These findings emphasize the importance of rumination in BD and suggest that altered ER strategies are more evident in depressive symptoms rather than (hypo)manic ones. While promising for targeted interventions, these results are based on crosssectional data, limiting causal interpretation. Future longitudinal studies are necessary to clarify the temporal dynamics of the relationship between affective symptoms and ER in BD. 

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Trastorn bipolar, Estadística bayesiana

Subject (English)

Manic-depressive illness, Bayesian statistical decision

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OLIVA, Vincenzo, et al. Highest correlations between emotion regulation strategies and mood symptoms in bipolar disorder: A systematic review and Bayesian network meta-analysis. Neuroscience and Biobehavioral Reviews. 2025. Vol. 169. ISSN 0149-7634. [consulted: 13 of August of 2026]. Available at: https://hdl.handle.net/2445/224807

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